File encryption software is a free or paid tool that can encode your information so that it remains safe when it is on the move when it is at rest or both. Protecting sensitive data is essential for any organization, and file encryption software is heavy work. File encryption software uses one of several complex algorithms to scramble the contents of your files, making them unusable and unreadable until they are decrypted using the appropriate key provided by the sender. There are three main parts that determine the security of the encryption method: - The appropriate degree of the encryption system used for the data to be sent.The strength and complexity of the scrambling algorithm, and the key length. - The length of the public-private key is 128 and 256 bits, while the public key is 2048 bits. Why do organizations need to encrypt files? The data is encrypted to prevent unauthorized parties from accessing information they shouldn’t. Obviously, financial conglomerates and healthcare organizations that deal with sensitive banking or private healthcare information separately should protect the data transmitted through their systems, while companies in various industries encrypt mobile and static data. Encryption is only part of the puzzle, but companies can get multiple benefits by using file encryption software: Better data protection. File encryption software should not be the only security measure on your network security roster, but it can add other layers of your existing data protection to other layers, such as secure networks, connections, employee training, and business practices. Send safely. An effective file encryption software solution helps to ensure that the files on any device are protected during the entire operation, whether they are stationary or in motion. Interceptions. Although data theft is the most famous type of destruction, interception and tampering are another threat that file encryption can defend against. Bonus: The best file encryption software will confirm that your data has not changed. Follow compliance guidelines. Many regulations include file encryption expectations, and file encryption software can help you meet that expectation. Why should I use file encryption software? File encryption, compliance, and network security: triple threats. For good reasons, compliance with regulations and requirements is increasingly dependent on encryption. Better encryption software and data security measures can avoid some of the biggest data leaks and fines this year. Well-known regulations including PCI DSS, GDPR, and HIPAA all emphasize that encryption is a key technical strategy to ensure data security. Almost everything related to compliance can be linked to network security. Compliance requirements usually outline the minimum conditions considered the safe-a blueprint for compliance that an organization can follow to achieve a strong cybersecurity stance. Prevent data leakage: develop the right data encryption strategy By encrypting information in mobile and stationary states, you are taking a critical step towards improving network security. The recent encryption failures and fines-in some cases even new guidelines have been proposed-are led by small businesses and large multinational conglomerates. Security researcher violation When security researchers discovered insecure Amazon S3 buckets containing personal data of nearly 3 million users, the Berlin-based app TVSmiles was compromised. This violation made Germany lean towards new personal data protection guidelines and showed that even relatively small databases can contain massive amounts of data-all of which are mature if they are not protected. Bad results in healthcare Hospitals, clinics, and public health organizations collect and store large amounts of very sensitive personal data, which makes them the main targets of hacker attempts. Two recent events include: A U.S. health insurance company was hit by the second-largest HIPAA violation penalty for violating safety regulations. After investigation, the Office of Civil Rights determined that the company had “failed to implement sufficient hardware, software, and procedural mechanisms to record and analyze information system-related activities.” Human error led to data breaches, and Public Health Wales posted more than 18,000 online Personal information of a Covid-positive Welsh resident and kept it for 18 hours. Unrest due to data breach EasyJet confirmed in the spring of 2020 that the personal data of 9 million customers had been leaked. They also revealed that customer data is not the main target-just an unlocked space leading to Crown Jewelry. Although the reason for the EasyJet data breach has not been disclosed, it is clear that their network security is lacking in key areas. Takeaway How can file encryption software help? By ensuring that the data you are transmitting or storing is safe and only accessible by parties with the appropriate decryption key. In some of the above cases, file encryption software will be an additional layer of security to prevent data leakage and meet the software requirements outlined in requirements such as HIPAA and GDPR. The best file encryption software The best file encryption software for your organization depends on your unique requirements. However, during the search, please keep the following in mind: What requirements or regulations does your organization comply with? Do these stipulate certain standards that you must meet? If your data is public, what are the risks? How sensitive is it? Some personal data protection requires a distinction between low-risk data and high-risk data. If your data is leaked, it may adversely affect the fine. Does your trading partner rely on a specific encryption standard or format? If you choose the same method, will it speed up or simplify file transfers? Are you exchanging large files or large amounts of data? Some file encryption software will have automation features that can speed up your process , and some software options can handle large files better than others. A flexible, jack-of-all-trades software solution is Managed File Transfer , which can encrypt and automate all file transfers. Most MFT solutions will encrypt files on the move and encrypt them with the encryption standard of your choice, including leading technologies such as Open PGP, AES, SSL, and SSH. Raysync high speed file transfer solutions is committed to meeting the data transfer needs of enterprises or external partners, providing efficient and controllable accelerated transfer of large files, ultra-long distance, transnational network data transfer, safe distribution of file assets, file management and organization Permission management, support local deployment and cloud services, and provide enterprises with safe, stable, efficient and convenient large file interactive technical support and services.

As companies move towards digital transformation, the of corporate digital assets is facing more and more severe challenges. How to ensure that data assets, innovative content, and other materials deposited by companies are not leaked intentionally or unintentionally during file transfer has become an urgent need for companies to solve a problem. Enterprise file transfer security risks: 1. File data errors: a large amount of data is not transmitted on time, causing data errors, and manual troubleshooting is too cumbersome. 2. Loss of hard disk: use the form of sending and receiving hard disk to transfer large files, once the hard disk is lost, the consequences will be disastrous. 3. Information leakage: too frequent FTP transmission methods cause the firewall to be attacked and cause information leakage. 4. File loss: mass files cannot be completely transferred at one time, and file loss is prone to occur. Raysync, an expert in one-stop large file transfer solutions, has become the best choice for 2W+ enterprises with its high-efficiency, safe and reliable characteristics of the file transfer. Raysync data security protection: 1. AES-256 financial level encryption strength to protect user data privacy and security. 2. Added SSL security function for FTP protocol and data channel. 3. The Raysync transfer protocol only needs to open one UDP port to complete the communication, which is safer than opening a large number of firewall network ports. 4. Support the configuration of confidential certificates to make service access more secure. Raysync safety mechanism: 1. Regularly scan the CVE vulnerability risk database to resolve risky code vulnerabilities. 2. Use Valgrind/Purify for memory leak investigation during development. 3. Adopt high-performance SSL VPN encryption to provide multiple scenarios for user access security services. Raysync account security protection mechanism: 1. Adopt a two-factor strong authentication system, support USBKey, terminal hardware ID binding, and other password authentication. 2. The password saved by the user in the data is encrypted based on the AES-256+ random salt high-strength encryption algorithm, even the developer cannot recover the source password through the saved ciphertext. Raysync uses the self-developed Raysync ultra-high-speed transfer protocol to build the enterprise data transfer highway in the information age, and always puts enterprise data security at the top of development, provides secure file transfer solutions for the development of enterprises, and guarantees the process of data transfer for enterprises security and reliability.

File transfer is the core of business operations. The company regularly exchanges data internally with customers, suppliers, and partners every day. Whether they need to transfer batch transactions to an outsourced payroll provider or need to send digital video for marketing activities, they must be able to transfer data safely and efficiently. Organizations continue to rely on file transfers to share digital information. More than 50% of all system integration is done through file transfer. "From banking and financial services to defense and manufacturing, the transfer of critical business data is crucial," Todd Margo said in his IBM-managed file transfer blog. "For the business to run smoothly, it is necessary to move, copy, synchronize, and share the ever-emerging and developing digital data forms packaged in the form of files". He went on to describe some of the factors that affect today's file transfer requirements: Data volume: Compared with the past, the workload requirements for file transfer are high-frequency batch processing and larger and more diverse files. Innovative applications for streaming are also needed. Big data and the Internet of Things: Companies are deploying file transfer technology to enable batch transaction file exchange in areas such as the Internet of Things and big data analysis. This can greatly increase the data transmission speed. Besides, the amount of data is increasing to support more detailed analysis. The two punches of speed and file volume pose special challenges to file transfer technology. Security: Network security issues continue to intensify, leading to the adoption of better security technologies. When possible, the file transfer system should compensate for the security overhead by supporting hardware accelerators, new security processing software, and improved file transfer throughput. According to the analyst report: "Non-compliance with data security and privacy regulations and lack of end-to-end visibility and monitoring are still the main issues facing the functionality of existing large file transfer solutions." The report further added: Cloud-enabled, via API Simplified integration, and improvement of user experience are the subject of development. SFTP FTP and Secure FTP are the most widely used file transfer methods. Part of the appeal is that they are easy to use, usually free or cheap. The transfer is usually done through an FTP website that most people can access. If the organization occasionally needs to send non-sensitive documents, this technique works well, but if it is widely used, it may put them at risk. Recent studies have shown that more than 400 million files from FTP servers are available online. When exposing files, FTP does not log security violations or verify user identity-this is a basic function needed to help detect and prevent vulnerabilities or cyber threats. The technology also sends files on a first-come, first-served basis. Therefore, organizations cannot determine the priority of critical transmissions or quickly respond to business needs. To overcome the hidden costs and risks of FTP, more and more companies choose secure and scalable file transfer software.

Many business processes involve file exchange. Bidding and proposal submission, legal documents, financial reports, data backup and restoration, supply chain integration, B2B collaboration, and multiple business transactions all require the movement of files. Although temporary file transfer can usually complete the work, there are actually some situations that require server-to-server file transfer. Server-to-server file transfer is the automatic movement of data or files from one machine to another. In other words, this file transfer involves very little human intervention. Therefore, compared to file transfers with more human involvement, server-to-server file transfers are generally faster, more effective, more accurate, and less error-prone. Server-to-server file transfers usually do not run on their own. Instead, it is usually implemented as part of a business process automation project. This requires system integration, where business, operations, or accounting systems are connected to a file transfer server. Since it is usually part of a business process automation project, the setup of a server-to-server file transfer system is usually more expensive than other file transfer implementations . However, once the system is up and running, significant reductions in working hours, human error, paper consumption, delivery time and several indirect costs can be realized immediately. So how do you know when to implement server-to-server file transfer? 1) Need to exchange data frequently There may be no better reason to implement server-to-server file transfers than the company with which you often exchange data. Once you consider all the previously mentioned benefits and combine it with the volume of transactions you have to make, you can easily prove that the investment in server-to-server file transfer is not just your board also your trading partner. The advanced managed file transfer server has functions precisely constructed for such scenarios. For example, these servers allow you to add trading partners and then assign them automatic file transfer tasks . 2) Regular transactions Manual, temporary file transfer is suitable for spontaneous, non-repetitive file-sharing activities. But for transactions that need to be performed over and over again-say daily, weekly, or monthly-then automating events is definitely a good idea. Automation can ensure that transaction documents and other time-sensitive deliverables are always delivered on time. This can be done by using triggers that automatically prompt the server to perform file transfers based on a preset schedule. 3) Transactions require higher speed, accuracy, and efficiency Transactions involving business-critical data need to be conducted in a timely, effective, and highly accurate manner. Therefore, these types of transactions are not suitable for temporary file transfers, which are vulnerable to negligence, data entry errors, or even exposure to fraud. Computer-to-computer file transfer is more appropriate, and such risks are less likely to occur. 4) Require EDI In order to avoid being overwhelmed by large amounts of daily data, many large companies dealing with multiple trading partners are forced to implement business process automation programs such as EDI , which rely heavily on server-to-server exchanges. Then, these companies require their trading partners to implement a compatible EDI system before trading with them. Therefore, if you need to trade with large trading partners with such requirements, you may have no choice but to implement server-to-server file transfers. Usually, some of the transaction documents transmitted through EDI include purchase orders, invoices, advance shipping notices , bills of lading, and student transcripts. 5) Big company needs Similarly, if you are a large company and have more and more trading partners, it is a good idea to implement an EDI system and require your trading partners to adopt it. In this way, you can more easily manage the various transactions that may occur. 6) Industry needs Some industries are regulated by laws that require safe, standardized electronic transactions. For example, the HIPAA of the healthcare industry requires underwriting entities engaged in electronic transactions to comply with EDI rules and security rules. These rules basically encourage the use of EDI and require those who implement secure file transfer standards. Hosted file transfer servers that support server-to-server file transfers already have many built-in security features that enable them to promote regulatory compliance.

Synchronous Transfer Synchronous transmission is the data transfer in units of data frames. Frame synchronization signals in the form of characters or bit combinations can be used. The transmitter or receiver provides a clock signal dedicated to synchronization. In short-distance high-speed large file transfer, the clock signal can be transmitted by a dedicated clock line. When the computer network adopts the synchronous transmission method, the clock synchronization signal is often embedded in the data signal frame to achieve clock synchronization between the receiver and the transmitter. In digital communication, synchronization is very important. When the transmitter transmits data information to the receiver through the transmission medium, for example, each time a character data signal is sent, the receiver must recognize the start bit and end bit of the character data signal. To correctly read each bit of the data signal of the character at the appropriate time, this is the basic synchronization problem between the receiver and the transmitter. When sengding data signals in data frames, to ensure the integrity and accuracy of the transmitted signal, in addition to requiring the receiver to be able to recognize the start and end of the signal corresponding to each character , to ensure that the reading starts and ends at the correct time Retrieving the signal means maintaining the integrity of the transmitted signal. It is also required to keep the clock and the transmitter at the same frequency to ensure that the number of signal units reads per unit time is the same, that is, to ensure the accuracy of the transmitted signal. Therefore, when transferring data signals in data frames, the transmitter is required to take the following two measures for the transmitted signals: ①Add a start signal and a stop signal different from the data signal before and after the corresponding signal of each frame of data; ② Add a clock synchronization signal before the data signal of each frame to control the clock synchronization of the receiver. Asynchronous Transmission Asynchronous transmission is the transmission of data in units of characters, using character synchronization signals in the form of bits. The transmitter and receiver have independent clocks , and neither side provides clock synchronization signals to the other side. The sender and receiver of the asynchronous transmission do not need to coordinate before the data can be transmitted: the sender can move data at any time, and the receiver must be ready to receive data at any time. The asynchronous transmission mode is generally adopted between the computer host and the input and output devices. Such as a keyboard, a typical RS-232 serial port : the sender can send a character at any time . The Advantages and Disadvantages of Asynchronous and Synchronous Data Transmission 1. Asynchronous transmission is the character-oriented transmission, while the synchronous transmission is bit-oriented. 2. The unit of asynchronous transmission is character and the unit of synchronous transmission is a frame. 3. Asynchronous transmission seizes the opportunity of re-synchronization through the start and stops codes of character start and end, while synchronous transmission extracts synchronization information from the data. 4. The asynchronous transmission has lower requirements on timing, and synchronous transmission often coordinates timing through a specific clock line. 5. Asynchronous transmission is less efficient than synchronous transmission. To Sum Up Both asynchronous transmission and synchronous transmission have the above basic synchronization problem: character synchronization or frame synchronization signals are generally used to identify the start and end of transmitting character signals or data frame signals. The main difference between the two is whether one of the transmitter or receiver sends a clock synchronization signal to the other party.

The phrase "file transfer acceleration" generally refers to software that uses a custom protocol based on UDP instead of the more traditional TCP to move data on the Internet. UDP itself is a packet-based transmission protocol with no error recovery or flow control, but all Internet hardware and operating systems support UDP. In this way, it provides a blank platform for software developers on which to create their own algorithms to effectively move data on the IP network. The same data model of TCP has been used since 1974. The difference is that MTP aims to adapt and optimize the data flow to the discovered storage, network, and CPU infrastructure. As a result, files transferred using MTP software typically move over a wide area network many times faster than traditional TCP-based software. Searching for UDP, accelerated or high-performance file or data transfer usually finds four types of results: commercial software, open-source software, business consulting, and automotive equipment. Identifying the required category and finding it in many pages of search results is essential to effectively and cost-effectively solve data transmission performance issues. Large file data transfer is a very important part of the future for enterprises. The traditional method can choose traditional FTP, network disk, and other methods to transmit. For large file data, the transmission speed may be slow and the data may be unreliable. Greatly affect the work efficiency of the enterprise. Raysync accelerates the transfer of large files, which can increase the file transfer speed by 100 times in 1 second. Raysync can provide efficient and controllable accelerated transfer of large files, ultra-long distance, transnational network data transmission, secure file asset distribution, file management, and organization permissions management, support local deployment and cloud services, and provide enterprises with safe, stable, efficient and convenient large file interactive technical support and services.

Big data transfer is becoming a new driving force for economic and social development, and is increasingly affecting economic operations, lifestyles and national governance capabilities. The security of big data movement has been improved to the level of national security. Based on the challenges and problems facing big data transfer security and the development of big data security technology, we put forward the following 5 opinions for the development of big data security technology. 5 Opinions for Big Data Transfer Security Technology 1. Build an integrated big data security defense system from the perspective of an overall security Security is a prerequisite for development. It is necessary to comprehensively improve the security of big data security technology, and then establish a comprehensive three-dimensional defense system that runs through the cloud management of big data applications to meet the needs of both countries. Big data strategy and it's market application. First, it is necessary to establish a security protection system covering the entire data life cycle, from collection to transfer, storage, processing, sharing, and final destruction. It is necessary to fully utilize data source verification, encryption of large-scale data transfer, encrypted storage in non-relational databases, privacy protection, data transaction security, prevention of data leakage, traceability, data destruction, and other technologies. The second is to enhance the security defense capabilities of the big data platform itself. It should introduce authentication for users and components, fine-grained access control, security audits for data operations, data desensitization, and other such privacy protection mechanisms. It is necessary to prevent unauthorized access to the system and data leakage while increasing attention to the inherent security risks involved in the configuration and operation of big data platform components. It is necessary to enhance the ability to respond to emergency security incidents that occur on the platform. Finally, it uses big data analysis, artificial intelligence, and other technologies to automatically identify threats, prevent risks and track attacks, and transition from passive defense to active detection. Ultimately, the goal is to enhance the security of big data from the bottom up and enhance the ability to defend against unknown threats. 2. Starting from attack defense, strengthen the security protection of big data platforms Platform security is the cornerstone of big data system security. From an earlier analysis, we can see that the nature of cyberattacks against big data platforms is changing. Enterprises are facing increasingly serious security threats and challenges. Traditional defensive surveillance methods will find it difficult to keep up with this change in the threat landscape. In the future, research on the security technology of big data transfer platforms should not only solve operational security issues but also design innovative big data platform security protection systems to adapt to the changing nature of cyber attacks. In terms of security protection technology, both open source and commercial big data platforms are in a stage of rapid development. However, the cross-platform security mechanism still has shortcomings. At the same time, the development of new technologies and new applications will reveal platform security risks that are not yet known. These unknown risks require all parties in the industry to start from the offensive and defensive aspects, invest more in the security of the big data platform, and pay close attention to the development trend of big data network attacks and defense mechanisms. It is necessary to establish a defense system suitable for and build a more secure and reliable big data platform. 3. Use key links and technologies as breakthrough points to improve the data security technology system In the big data environment, data plays a value-added role, its application environment is becoming more and more complex, and all aspects of the data life cycle are facing new security requirements. Data collection and traceability have become prominent security risks, and cross-organizational data cooperation is extensive, leading to confidentiality protection requirements that trigger multi-source aggregate computing. At present, technologies such as sensitive data identification, data leakage protection, and database security protection are relatively mature, while confidentiality protection in multi-source computing, unstructured database security protection, data security early warning, emergency response, and traceability of data leakage incidents, still relatively weak. Actively promote the development of industry-university-research integration, and accelerate the research and application of key technologies such as ciphertext calculations to improve computing efficiency. Enterprises should strengthen support for data collection, calculation, traceability, and other key links; Strengthen data security monitoring, early warning, control, and emergency response capabilities; Take data security key links and key technology research as a breakthrough; Improve the big data security technology system; To promote the healthy development of the entire big data industry. 4. Strengthen the investment in the industrialization of privacy protection core technologies, while considering the two important priorities of data use and privacy protection In the big data application environment, data usage and privacy protection will naturally conflict. Homomorphic encryption, secure multi-party computing, and anonymization technologies can strike a balance between the two and are ideal technologies to solve the privacy challenges in the application of big data. The advancement of core privacy protection technologies will inevitably greatly promote the development of big data applications. Currently, the core problem of privacy protection technology is efficiency, and its problems include high computing costs, high storage requirements, and lack of evaluation standards. Some researches, in theory, have not been widely used in engineering practice. It is very difficult to deal with privacy security threats such as multiple data sources or statistics-based attacks. In the big data environment, personal privacy protection has become a topic of much concern, and with the increasing demand for privacy protection in the future, it will drive the development and industrial application of dedicated privacy protection technologies. To improve the level of privacy protection technology in the big data environment, we must encourage enterprises and scientific research institutions to study privacy protection algorithms such as homomorphic encryption and secure multi-party computing, and at the same time promote data desensitization, audit applications, and other technical methods. 5. Pay attention to the research and development of big data security review technology and build a third-party security review system At present, the state has formulated a series of major decision-making arrangements for big data security. The government promotes the deep integration of big data and the real economy and emphasizes the need to effectively protect national data security. The National Informatization Plan puts forward an implementation plan for the big data security project. It is foreseeable that the government's supervision of big data security will be further strengthened in the future, the legislative process related to data security will be further accelerated, big data security supervision measures and technical means will be further improved, and the disciplinary work of big data security supervision will be further strengthened.

Facing the challenges and threats related to the security of big data transfer, the industry has conducted targeted practices and investigations on security protection technologies. This article focuses on three aspects of the development of big data security technology: platform security, data security, and privacy protection. How to securely improve big data transfer? Technologies related to platform security, data security, and privacy protection are improving, allowing us to solve big data security issues and challenges. However, to respond to new methods of cyber attacks, protect new data applications, and meet increased privacy protection requirements, higher standards and functions will be required. Improve platform security In terms of platform technology, centralized security configuration management and security mechanism deployment can meet the security requirements of the current platform. However, vulnerability scanning and attack monitoring technologies for big data platforms are relatively weak. In terms of technologies for defending platforms from network attacks, current big data platforms still use traditional network security measures to defend against attacks. This is not enough for the big data environment. In the big data environment, the extensible defense boundary is vulnerable to attack methods that cover up the intrusion. Besides, the industry pays little attention to potential attack methods that may come from the big data platform itself. Once new vulnerabilities appear, the scope of the attack will be huge. Improve data security In terms of data security, data security monitoring and anti-sabotage technologies are relatively mature, but data sharing security, unstructured database security protection, and data violation traceability technologies need to be improved. Currently, there are technical solutions for data leakage: technology can automatically identify sensitive data to prevent leakage; The introduction of artificial intelligence and machine learning makes the prevention of violations move toward intelligence; The development of database protection technology also provides a powerful way to prevent data leakage guarantee. The ciphertext calculation technology and the data leakage tracking technology have not yet been developed to the extent, which they can meet the needs of practical applications, and it is still difficult to solve the confidentiality assurance problem of data processing and the problems related to tracking data flow. Specifically, the ciphertext calculation technology is still in the theoretical stage, and the calculation efficiency does not meet the requirements of practical applications. Digital watermarking technology cannot meet the needs of large-scale and fast-updated big data applications. Data lineage tracking technology requires further application testing and has not yet reached the mature stage of industrial applications. Digital watermarking technology cannot meet the needs of large-scale and fast-updated big data applications. Data lineage tracking technology requires further application testing and has not yet reached the mature stage of industrial applications. Digital watermarking technology cannot meet the needs of large-scale and fast-updated big data applications. Data lineage tracking technology requires further application testing and has not yet reached the mature stage of industrial applications. Improve privacy security In terms of privacy protection, technological development clearly cannot meet the urgent need for privacy protection. The protection of personal information requires the establishment of a guarantee system based on legal, technical, and economic methods. Currently, the widespread use of data desensitization technology poses challenges to multi-source data aggregation and may lead to failure. So far, there are few practical application case studies for emerging technologies such as anonymization algorithms, and there are other common problems with this technology, such as low computational efficiency and high overhead. In terms of computing, continuous improvement is needed to meet the requirements of protecting privacy in a big data environment. As mentioned earlier, the conflict between big data applications and personal information protection is not just a technical issue. Without technical barriers, privacy protection still requires legislation, strong law enforcement, and regulations to collect personal information for big data applications. Establish a personal information protection system that includes government supervision, corporate responsibility, social supervision, and self-discipline of netizens.