Employees are a valuable asset of an enterprise and the cornerstone of its development. With the development of science and technology, there are more and more Internet offices, and employees can work through computers and mobile phones, which significantly improves office efficiency. At the same time, the disadvantages of Internet collaborative work are also highlighted in the process of the rapid development of enterprises. The flow of personnel is a common occurrence, but due to the popularity of Internet collaborative office, employees can obtain internal information anytime and anywhere, which poses an increasing threat to the internal information and core data of enterprises. In some resignation cases, we can see that some employees delete their own historical documents after resignation, which leads to business failure and delays work progress. In case of departing employees who steal the internal core secrets of the enterprise, take away the key technologies of the enterprise or resell information for competitors to obtain higher benefits, the enterprise will be hit hard and seriously affect the development of the enterprise. In order to protect the information security of enterprises, we have made a lot of efforts. Today, we analyze two aspects: people and information, hoping to help enterprises pay attention to the hidden dangers of information security brought by personnel mobility and protect the security of assets. Responsibility supervision Background investigation: Job seekers need background investigation, which can be carried out after both parties agree. The main purpose of the investigation is to screen out employees with bad reputation records or threats to enterprises and do preliminary prevention work. Signing Agreement: Enterprises can sign Confidentiality Agreement or Non-Competition Agreement when hiring employees, specify confidentiality content, responsible subject, confidentiality period, confidentiality obligation and liability for breach of contract, and strengthen employees' sense of responsibility. On-the-job training: Carry out "confidential knowledge training" for new employees entering the company, and create clear and comprehensive strategies to accurately outline which information, data, and documents are the property of the company, emphasize the importance of information security, clarify the consequences of data leakage, and strengthen employees' sense of confidentiality. Safe exit: Employees who leave the company are required to hand over all access rights to information and equipment to the company. In case of termination of work in HR's on-the-job employee platform, the IT department should quickly intervene and quickly cut off the equipment that may be used for authentication or allow the departing employee to connect. Similar security measures should be taken for the third-party organizations, partners, or suppliers that the company cooperates with, and quick measures are the basis for the company to avoid heavy losses. Data protection We can take responsibility for supervision for people and enterprises, and at the same time, we can also carry out protection measures for enterprises' own data and information. Permission setting: E-mail, data documents, and other forms of Internet leakage account for a large proportion of data leakage incidents. In this respect, enterprises can divide the data types, grades, and employee permissions, and manage the access, download, edit, copy, delete, and other fine settings in terms of permissions. Here, we can refer to the scientific design of identity authentication, user grouping, file outgoing monitoring, etc. File backup: In the era of big data, small groups, enterprises, companies, and large groups all produce a large amount of data in the process of development. Backup is the most direct protection for enterprises to deal with data loss and external attacks. In other words, there are traces of backup files. Security of office environment: the emergence of mobile office software is both convenient and risky for employees. For employees who carry office equipment or need to use office equipment outside the company to work, enterprises should strengthen the encryption protection of sensitive data and monitor the data flow.
In the era of big data, the production and dissemination of information are growing exponentially, and the transmission of enterprise files is facing the current situation of insecurity. Error in file data: a large amount of data is not transmitted in time, resulting in data error, and manual error checking is too cumbersome. Hard disk loss: large files are transmitted in the form of sending and receiving hard disks. Once the hard disk is lost, the consequences are unimaginable. Information leakage: Too frequent FTP transmission leads to firewall attacks and information leakage. Loss of files: massive files cannot be transmitted completely at one time, which is prone to file loss. Information security event inventory: Memcache DDoS Attack: on March 1, 2018, GitHub suffered a DDoS attack with a size of 1.35TB. in the following days, NETSCOUT Arbor reconfirmed a reflection amplification DDoS attack with a height of 1.7 Tbps caused by Memcache DDoS. Data leakage incident: A company announced that the database of a hotel was invaded, and at most about 500 million guests' information was leaked. In the same period, a special user posted that the resume information of over 200 million users in China was leaked. How to ensure the security of big data transmission. Let's take a look at how Raysync experts interpret it. - Data security protection: TLS algorithm encryption, AES-256 financial grade encryption strength, protect user data privacy. Raysync protocol only needs to open one UDP port to complete communication, which is safer than opening a large number of firewall network ports. FTPS encryption technology adds SSL security function to the FTP protocol and data channel. Encrypt certificate configuration, support configuration of confidential certificates, and make service access more secure. - Security mechanisms: Scan CVE vulnerability risk library regularly to solve risky code vulnerabilities. In the development process, Valgrind/Purify is used to check the memory leakage. Adopt high-performance SSL VPN encryption to provide user access security services in various scenarios. - Account security protection: Adopt a double factor strong authentication system, support USBKey, terminal hardware ID binding, and other password forms for authentication. The user's password saved in the data is encrypted based on the AES-256 encryption algorithm, and even the developer can't recover the source password from the saved ciphertext. Raysync is a professional service provider of enterprise-level file transmission, and it is also the first enterprise in China to provide commercial high-performance file transmission products. Raysync provides customers with high-performance, stable, and safe data transmission services in IT, film and television, biological gene, manufacturing, and many other industries.
Enterprises analyze the data collected in the development process and then put into work to promote decision-making, improve efficiency, and plan the company's development direction. This means that enterprises must collect data, turn it into valuable information, and store it in a safe but still accessible location. Unfortunately, many enterprises didn't plan and manage the data in the early stage, but now they see that the data is growing and changing every day, but they are helpless. According to IDC data, enterprises are managing a large amount of data that is growing at an annual rate of 40%. Companies are not only processing more data, but the types of data are expanding. The data stream contains many unstructured data such as inventory figures, financial information, product promotional videos, promotional pictures, and so on. All these different data types need to be centralized, organized, and accessible, and usable by businesses. So, what is enterprise data management? Enterprise Data Management describes the ability of an organization to integrate, manage, protect, and distribute data from multiple data streams. This includes the ability to transmit data accurately and securely between partners and subsidiaries. Effective EDM is not easy, it can only be achieved by fully understanding your data and implementing an intelligent EDM strategy. Enterprise data management involves many parts, including: Data Governance – Data governance refers to policies and processes to ensure data integrity, quality, and security. It is a close relative of data management and covers guidelines on policy implementation, overall responsibility, and governance authority. In short, data governance establishes an organization's data laws and how, when, and by whom to enforce them. Data Integration – Enterprise data integration means moving and integrating all kinds of enterprise data into an accessible location. This is a key component that enables companies to access and use all the different data forms. Data Security – Security is an integral part of any data-related strategy. Data security usually refers to the measures taken to ensure that data are protected at all stages of its life cycle, including data at rest and data in transit. This protection involves not only anti-theft and anti-leakage measures but also the work of maintaining data integrity and preventing damage or destruction. All these factors need to be considered, and now we can draw up an enterprise data management strategy: Perform Assessment – Enterprises need to have a clear understanding of their data flows and the types of data they have in order to develop effective data management strategies. This work may be time-consuming, but it is a valuable and important process, which can help to ensure that the management methods adopted are completely matched with the data. Defining Deliverables – Data management may be a vague term. It is important for companies to outline what they hope to accomplish by implementing enterprise data management. What is the ultimate goal? How to measure success? The demand for data is sometimes overwhelmed, and some data items may be very large. In this case, the phased method of step-by-step delivery can work well. Identify Standards, Policies, and Procedures – Standards, policies, and procedures are invaluable guides to keep data where it is needed and help prevent data corruption, security breaches, and data loss. Emphasis on quality: Bad data is actually worse than no data. It is important for an organization to remember the true value of its data and to maintain its quality responsibly. Investing in the Right People and Technology – Knowing the skills of managing data is not everyone's strong point. It is better to have in-house or consulting experts who have experience in building enterprise data management system. Their knowledge reserve can help enterprises manage data better. Similarly, it is necessary to deploy a set of excellent data transmission management software for enterprises, which can help enterprises to transmit stored data efficiently, safely, and stably. As a one-stop solution provider, Raysync has independently developed its core transfer technology with its professional technical teams to offer high-performance, secure, and reliable large file transfer and file management services for major enterprises.
Data collection is not comprehensive, data storage is not standardized, data interaction is not timely, and the value of data is difficult to dig. Data problems are currently faced by small and medium-sized enterprises. In the Internet era, data is growing exponentially. If enterprises hope that data can be utilized to the greatest extent, For business value, or to guide the future development direction of the company, rapid data interaction, secure storage, and comprehensive collection are essential. For many small and medium-sized enterprises with an insufficient budget for informatization, it is the easiest way to deploy software that meets the needs of enterprise informatization construction. With the help of the mature process and simple operation of the transfer software, the process of data collection, cleaning, integration, and analysis is realized. The current file transfer software has powerful file transfer performance and financial-level security. Generally, it has administrator authority control and supports third-party cloud storage, such as Raysync. The transfer speed is hundreds of times faster than FTP and HTTP. Run full bandwidth to improve file transfer efficiency; based on SSL encrypted transfer protocol, financial-grade AES-256 encrypted transfer technology to ensure data security; meticulous authority control mechanism, allowing appropriate permissions to be used by appropriate people; support third-party cloud storage platforms, Data storage safety is guaranteed. The use of these products is to take advantage of its cloud storage space and file transfer technical strength, and the enterprise itself does not need to build a computer room and set up specialized technical personnel to maintain it.
Raysync has superb file transfer capabilities and has served 20,000+ companies. The areas involved include government agencies, advertising media, the automobile industry, film and television production, etc. Many companies use Raysync for file transfer every day. Maybe you didn’t use Raysync directly, but maybe a movie that is currently being screened uses Raysync for accelerated transfer of video footage; maybe a medical institution is using Raysync to manage the past cases of patients...maybe each of us or More or less established contact with Raysync. The current network transfer adopts the TCP transfer protocol, which is very stable and reliable. During the transfer, the integrity of the file is the primary consideration of the TCP transfer protocol. Therefore, when the delay and packet loss occurs at the same time, it will choose to reduce Speed ensures quality. With the expansion of enterprises, the demand for transnational file transfer has soared. The longer the transfer distance, the greater the probability of delay and packet loss. Therefore, when TCP is used to transmit files transnationally, the transfer speed will decrease. In response to the bottleneck of the slow transfer speed of the TCP transfer protocol, Raysync developed its independent transfer protocol. It can also increase the packet transfer rate in the case of high delay and high packet loss. It can also control network congestion, improve transfer efficiency, and ensure that data is stable and reliable... Raysync provides enterprises with one-stop big data transfer solutions, including GB/TB/PB level large file transmission, transnational file transmission, massive small file transmission, etc. Besides, Raysync also has these features: Intelligent two-way synchronization of files; Multi-client concurrent transfer; P2P accelerated file transfer; Database disaster recovery backup; Object storage solutions; One-to-many, many-to-many heterogeneous data transfer. Since its inception, Raysync has undergone many iterations and improvements. With its excellent file transfer performance, it has become an indispensable helper for enterprises' digital transformation!
With the vigorous development of new technologies such as cloud computing, big data, the Internet of Things, and artificial intelligence, large-scale new applications have facilitated my life. But at the same time, hackers, who are tempted by the interests of black products, also turn their eyes to this place, and they have targeted attacks, again and again, thus directly plundering enterprise data resources and important customers. Here are our 5 tips for improving your data security: 1. Troubleshoot computer network system vulnerabilities The computer network system is composed of computer hardware, software, and client network system configuration. The first step of enterprise self-examination is to carry out daily maintenance of its own hardware equipment; Secondly, it is also the key point to check the compliance and security of software systems, clean up the non-compliant and unsafe third-party applications used by employees in time, update the conventional systems, and investigate loopholes; The other is to configure the client's network system safely. 2. Is the data using standardized The second point of self-examination of enterprise data security is to standardize the management of enterprise data use. Enterprises have a clear positioning of safety standards, and the practicality of specific data usage specifications is usually reflected in employees' daily work. Especially in file transmission, the transmission process is the hardest hit by network attacks, and the control of data flow is also very important. Just as many Internet companies are doing, it is necessary to manage the access, editing, and downloading rights of sensitive data, which plays a protective role in data security to a certain extent. 3. Investigate employees' safety awareness At present, nearly half of cyber-attacks are caused by the lack of security awareness of enterprise employees, which directly or indirectly leads to data leakage. The employees' awareness of the importance of data and network attack methods is directly related to their sensitivity to the possible security threats and potential attacks of current data. Many enterprises tend to ignore the safety control of employees. Do your employees really know what might be a cyber attack? Data security training is a good way for employees' safety awareness. Establish a culture so that employees can quickly perceive potential threats and report suspicious cases in time. The above self-inspection method is based on three key factors of data security, and the next two points we want to mention are the self-inspection method of security control of dynamic data. 1. Data flow direction "High-speed data transfer creates value for enterprises" is the service concept of Raysync. On the contrary, this sentence is essentially the normal state of enterprise business transfer. Every day, a small and medium-sized enterprise produces no less than 10GB of data, and where this data flow is actually a security blind spot for many enterprises. At present, there are more and more ways of online data interaction, and various ways of data interaction facilitate people's work, but also greatly increase the difficulty for enterprises to supervise data security. To solve this problem, let's take a look at how the enterprise-level file transfer expert Raysync deals with it. - Transmission management and control: add transmission strategy, transmission reality, and transmission log design, and the administrator can take a glance at the transmission of sub-accounts; - Supervision of document outgoing: all documents outgoing are under management supervision. In the face of sensitive data leakage, the administrator can directly interrupt the sharing of relevant documents; 2. Grade authority Dividing data grades and employee categories is the key to building an enterprise data safety net. Hackers and system vulnerabilities are the main reasons for data leakage incidents. Some conscious and unconscious operation behaviors of employees in their daily work are easily manipulated or misled by cybercriminals, and the data level they come into contact with is the height of enterprise information assets that criminals can reach. Grant local administrative authority only when necessary, assuming that the network attack against the enterprise is successful , and the infected computer cannot easily spread malicious software to other devices in the network, which plays an important role in curbing the attack scope. In view of this, many applications can do it at present. For example, several functional designs of data authority such as identity authorization, user grouping, and security encryption in Raysync run through the whole process of data security transmission, which is a good way to protect enterprise data security. Data flow transfers data to create greater value. Today, with the rapid development of science and technology, the process of data interaction is both an opportunity and a challenge for Internet enterprises, as well as hackers.
The amount of data transferred between global business networks is very large. The amount of data transferred in a given period of time is the data transfer rate, which specifies whether the network can be used for tasks that require complex data-intensive applications. Network congestion, delays, server operating conditions, and insufficient infrastructure can cause data transmission rates to be lower than standard levels, thereby affecting overall business performance. High-speed data transfer rates are essential for handling complex tasks such as online streaming and large file transfers. The Importance of Content Delivery Networks High-quality delivery of websites and applications to as many locations in the world as possible requires infrastructure and expertise to achieve delivery with low latency, high-performance reliability, and high-speed data transmission. Professional content delivery networks can bring a variety of benefits, including seamless and secure distribution of content to end-users, no matter where they are located. The content delivery network reduces the load of the enterprise's central server by using a complex node system strategically spread all over the world, thereby delivering content through more efficient use of network resources. Higher data rate conversion can improve user experience and increase reliability. By using intelligent routing, bottlenecks can be avoided , and adaptive measures can be used to find the best and most successful path in the case of network congestion. Faster Data Transfer FTP and HTTP are common methods of the file transfer. For example, FTP can be used to transfer files or access online software archives. HTTP is a protocol used to indicate how to not only define and send messages. It also determines the actions of web browsers and servers in response to various commands. HTTP requests are identified as stateless protocols, which means that they do not have information about previous requests. ISPs provide a limited level of bandwidth for sending and receiving data, which may cause excessive slowdowns that the business cannot afford. Content delivery networks such as CDNetworks provide data transfer speeds up to 100 times faster than FTP and HTTP methods, whether it is transferring large amounts of media files or transferring multiple smaller files. Transfer Rate High data transfer rates are essential for any business. To determine the speed at which data is transferred from one network location to another network location, the transfer rate ) is used to measure the data. Bandwidth refers to the maximum amount of data that can be transmitted in a given time. One of the most promising innovations achieved by content network services is Tbps , which was not imagined until the beginning of the decade Big Data According to industry researchers, the amount of data used each year has increased by as much as 40% year-on-year due to the increase in mobile use, social media, and various sensors. Companies in every industry need high-speed data transmission infrastructure more than ever to handle the ever-increasing volume of content from one point to another. Facing these data transmission needs, Raysync provides professional file transfer solutions in big data transmission, mainly for large file transfer, massive small file transfer, transnational file transfer, long-distance transfer, breaking through the limitations of traditional file transfer, and improving Bandwidth utilization. Raysync's 100-day program has fully launched. Raysync has introduced a special offer for all of you who have the file transfer needs. Apply now and you 'll get a 100-day free trial of Raysync Pro that worths $820. Product: Raysync Pro Target: Enterprise users Date: 10th September – 31st October Free Trial: Accounting from the date you get the License Special Bonus: You will enjoy 20% off for Raysync Pro during the period of the 100-day free trial. After the end of the free trial, you still have a chance to enjoy the 10% discount within one month. What are you waiting for? Come and try now!
A large amount of big data is opening the era of data-driven solutions that will drive the development of communication networks. Current networks are usually designed based on static end-to-end design principles, and their complexity has increased dramatically in the past few decades, which hinders the effective and intelligent provision of big data. Big data networking and big data analysis in network applications both pose huge challenges to the industry and academic researchers. Small devices continuously generate data, which is processed, cached, analyzed, and finally stored in network storage , edge servers, or the cloud. Through them, users can effectively and safely discover and obtain big data for various purposes. Intelligent network technology should be designed to effectively support the distribution, processing, and sharing of such big data. On the other hand, critical applications such as the Industrial Internet of Things, connected vehicles, network monitoring/security/management, etc. require fast mechanisms to analyze a large number of events in real-time, as well as offline analysis of a large amount of historical event data. These applications show strong demands to make network decisions intelligent and automated. In addition, the big data analysis techniques used to extract features and analyze large amounts of data places a heavy burden on the network, so smart and scalable methods must be conceived to make them practical. Some issues related to big data intelligent networking and network big data analysis. Potential topics include but are not limited to: 1. Big data network architecture 2. Machine learning, data mining, and big data analysis in the network 3. Information-centric big data networking 4. Software-defined networking and network function virtualization for big data 5. The edge of big data, blur, and mobile edge computing 6. Security, trust, and privacy of big data networks 7. 5G and future mobile networks realize big data sharing 8. Blockchain for big data network 9. Data center network for big data processing 10. Data analysis of networked big data 11. Distributed monitoring architecture for networked big data 12. Machine learning can be used for network anomaly detection and security 13. In-network computing for intelligent networking 14. Big data analysis network management 15. Distributed Artificial Intelligence Network 16. Efficient networking of distributed artificial intelligence 17. Big data analysis and network traffic visualization 18. Big data analysis, intelligent routing, and caching 19. Big data networks in healthcare, smart cities, industries, and other applications In the era of big data, Raysync provides ultra-fast, powerful, and secure big data transmission solutions to quickly respond to massive data transmission needs.
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