These technologies and enterprises in the field of security and cyber security deserve attention
These technologies and enterprises in the field of security and cyber security deserve attention
Video surveillance networking applications generally have the characteristics of large scale, wide distribution, complex structure, and strict monitoring requirements. It can be said that the country currently has a huge video surveillance network. Especially the large-scale video surveillance network represented by "Xueliang Project". While the market continues to heat up rapidly, the hidden safety hazards behind cannot be ignored.
In order to ensure that the video surveillance network application platform is not destroyed and the monitoring data is not leaked or tampered with, while the video surveillance network application is being built, it is also necessary to have the corresponding overall security protection capabilities. When data security is widely valued, relying on strong technical strength to continuously strengthen network security protection is the key to development. This requires security companies to put the interests of users first, strengthen related technology research and development and management, regularly upgrade product firmware, and control risks.
The security factors that need to be paid attention to in the network video surveillance system mainly include the security of the operating system, the security of user information, the security of application software, and the security of the network.
Representative technology
The current mainstream network security protection technologies in the industry include SSL security authentication technology, MPLSVPN, firewall systems, etc. Among them, SSL is the secure socket layer protocol, which refers to a secure network communication protocol that uses a combination of public and private key technologies. The SSL protocol is a web application-based security protocol launched by Netscape. The SSL protocol specifies a way to provide data security between application protocols (such as Http, Telenet, NMTP, FTP, etc.) and TCP/IP protocols. A layered mechanism, which provides data encryption, server authentication, message integrity, and optional client authentication for TCP/IP connections. It is mainly used to improve the security of data between applications, and to encrypt and conceal transmitted data , To ensure that the data is not changed during transmission, that is, to ensure the integrity of the data; MPLSVPN adds a fixed-length label to each IP packet, and forwards the data packet according to the label value. MPLS is actually a tunnel technology, so it is very easy and efficient to use it to establish VPN tunnels. MPLSVPN uses multiple methods such as route isolation, address isolation, and information hiding to provide anti-attack and tag deception; firewall products generally guarantee system security through packet filtering technology, proxy service technology, and network address translation technology.
In addition to the above conventional security technologies, in recent years, with the implementation of artificial intelligence technology, the AI technology in network security mainly includes machine learning, natural language processing, and context-aware computing. Security applications mainly target application security, endpoint security, cloud security, network security, and so on. The main applications include data loss prevention, unified threat management, encryption, identity and access management, risk and compliance management, antivirus/malware, intrusion detection/prevention systems, distributed denial of service mitigation, security information and event management, Threat intelligence, fraud detection, etc.
In fact, the use of artificial intelligence technology to counter the security challenges of the security industry has become a trend. For example, identity authentication, anomaly detection, etc. In recent years, unsupervised learning has been increasingly used for anomaly detection. Data dimensionality reduction can reduce the dimensionality of data vectors, remove redundant information, improve recognition accuracy, and further explore the intrinsic characteristics of the data. Association rule learning can discover potential association information between behavior sets and abnormal states by learning source data. And through the clustering algorithm based on probability distribution and frequency, it can finally distinguish normal behavior from abnormal behavior. This series of machine learning algorithms has matured the application of network security anomaly detection.
In addition, based on the characteristics of blockchain's decentralization, non-tamperable data, permanent traceability, etc., blockchain can subversively solve some of the key security problems faced by the development of today's security products, providing smart homes, smart transportation, and smart cities And other classic security application scenarios bring a broader imagination.
Video surveillance security belongs to the category of IoT security. IoT security equipment currently has security issues such as inconsistent communication protocols, no enforced security development standards, and limited computing resources. Therefore, how to solve access security is an important technical solution direction, and industry competition will also be concentrated. In the direction of processing speed and processing quality.
Another important direction is how to dig out unknown security risks from video data. As the application of AI technology matures, if the video security field can truly form the ability to perceive and judge unknown risks, the entire video surveillance security field will usher in a new round of changes in the future.
