Biblio

Artificial technology developed in recent years. It is an intelligent system that can perform tasks without human intervention. AI can be used for various purposes, such as speech recognition, face recognition, etc. AI can be used for good or bad purposes, depending on how it is implemented. The discuss the application of AI in data security technology and its advantages over traditional security methods. We will focus on the good use of AI by analyzing the impact of AI on the development of big data security technology. AI can be used to enhance security technology by using machine learning algorithms, which can analyze large amounts of data and identify patterns that cannot be detected automatically by humans. The computer big data security technology platform based on artificial intelligence in this paper is the process of creating a system that can identify and prevent malicious programs. The system must be able to detect all types of threats, including viruses, worms, Trojans and spyware. It should also be able to monitor network activity and respond quickly in the event of an attack.

This article proposes a health monitoring system platform for cross-river bridges based on big data. The system can realize regionalized bridge operation and maintenance management. The system has functions such as registration modification and deletion of sensor equipment, user registration modification and deletion, real-time display and storage of sensor monitoring data, and evaluation and early warning of bridge structure safety. The sensor is connected to the lower computer through the serial port, analog signal, fiber grating signal, etc. The lower computer converts a variety of signals into digital signals through the single-chip A/D sampling and demodulator, etc., and transmits it to the upper computer through the serial port. The upper computer uses ARMCortex-A9 Run the main program to realize multi-threaded network communication. The system platform is to test the validity of the model, and a variety of model verification methods are used for evaluation to ensure the reliability of the big data analysis method.

Aiming at the single hopping strategy in the terminal information hopping active defense technology, a variety of heterogeneous hopping modes are introduced into the terminal information hopping system, the definition of the terminal information is expanded, and the adaptive adjustment of the hopping strategy is given. A network adversarial training simulation system is researched and designed, and related subsystems are discussed from the perspective of key technologies and their implementation, including interactive adversarial training simulation system, adversarial training simulation support software system, adversarial training simulation evaluation system and adversarial training Mock Repository. The system can provide a good environment for network confrontation theory research and network confrontation training simulation, which is of great significance.

This paper designs a network security protection system based on artificial intelligence technology from two aspects of hardware and software. The system can simultaneously collect Internet public data and secret-related data inside the unit, and encrypt it through the TCM chip solidified in the hardware to ensure that only designated machines can read secret-related materials. The data edge-cloud collaborative acquisition architecture based on chip encryption can realize the cross-network transmission of confidential data. At the same time, this paper proposes an edge-cloud collaborative information security protection method for industrial control systems by combining end-address hopping and load balancing algorithms. Finally, using WinCC, Unity3D, MySQL and other development environments comprehensively, the feasibility and effectiveness of the system are verified by experiments.

For modern Automatic Test Equipment (ATE), one of the most daunting tasks conducting Information Assurance (IA). In addition, there is a desire to Network ATE to allow for information sharing and deployment of software. This is complicated by the fact that typically ATE are “unmanaged” systems in that most are configured, deployed, and then mostly left alone. This results in systems that are not patched with the latest Operating System updates and in fact may be running on legacy Operating Systems which are no longer supported (like Windows XP or Windows 7 for instance). A lot of this has to do with the cost of keeping a system updated on a continuous basis and regression testing the Test Program Sets (TPS) that run on them. Given that an Automated Test System can have thousands of Test Programs running on it, the cost and time involved in doing complete regression testing on all the Test Programs can be extremely expensive. In addition to the Test Programs themselves some Test Programs rely on third party Software and / or custom developed software that is required for the Test Programs to run. Add to this the requirement to perform software steering through all the Test Program paths, the length of time required to validate a Test Program could be measured in months in some cases. If system updates are performed once a month like some Operating System updates this could consume all the available time of the Test Station or require a fleet of Test Stations to be dedicated just to do the required regression testing. On the other side of the coin, a Test System running an old unpatched Operating System is a prime target for any manner of virus or other IA issues. This paper will discuss some of the pro's and con's of a managed Test System and how it might be accomplished.

In view of the continuous progress of current science and technology, cloud computing has been widely used in various fields. This paper proposes a secure data storage architecture based on cloud computing. The architecture studies the security issues of cloud computing from two aspects: data storage and data security, and proposes a data storage mode based on Cache and a data security mode based on third-party authentication, thereby improving the availability of data, from data storage to transmission. Corresponding protection measures have been established to realize effective protection of cloud data.

In the information age, computer network technology has covered different areas of social life and involved various fields, and artificial intelligence, as an emerging technology with a very rapid development momentum in recent years, is important in promoting the development of computer network systems. This article explains the concept of artificial intelligence technology, describes the problems faced by computer networks, further analyses the advantages of artificial intelligence and the inevitability of application in network technology, and then studies the application of artificial intelligence in computer network technology.

Information security is everyone's concern. Computer systems are used to store sensitive data. Any weakness in their reliability and security makes them vulnerable. The Common Vulnerability Scoring System (CVSS) is a commonly used scoring system, which helps in knowing the severity of a software vulnerability. In this research, we show the effectiveness of common machine learning algorithms in predicting the computer operating systems security using the published vulnerability data in Common Vulnerabilities and Exposures and National Vulnerability Database repositories. The Random Forest algorithm has the best performance, compared to other algorithms, in predicting the computer operating system vulnerability severity levels based on precision, recall, and F-measure evaluation metrics. In addition, a predictive model was developed to predict whether a newly discovered computer operating system vulnerability would allow attackers to cause denial of service to the subject system.

For modern Automatic Test Equipment (ATE) one of the most daunting tasks is now Information Assurance (IA). What was once at most a secondary item consisting mainly of installing an Anti-Virus suite is now becoming one of the most important aspects of ATE. Given the current climate of IA it has become important to ensure ATE is kept safe from any breaches of security or loss of information. Even though most ATE are not on the Internet (or even on a local network for many) they are still vulnerable to some of the same attack vectors plaguing common computers and other electronic devices. This paper will discuss one method which can be used to ensure that modern ATE can continue to be used to test and detect faults in the systems they are designed to test. Most modern ATE include one or more Ethernet switches to allow communication to the many Instruments or devices contained within them. If the switches purchased are managed and support layer 2 or layer 3 of the Open Systems Interconnection (OSI) model they can also be used to help in the IA footprint of the station. Simple configurations such as limiting broadcast or multicast packets to the appropriate devices is the first step of limiting access to devices to what is needed. If the switch also includes some layer 3 like capabilities Virtual Local Area Networks can be created to further limit the communication pathways to only what is required to perform the required tasks. These and other simple switch configurations while not required can help limit the access of a virus or worm. This paper will discuss these and other configuration tools which can help prevent an ATE system from being compromised.

For modern Automatic Test Equipment (ATE) one of the most daunting tasks is now Information Assurance (IA). What was once at most a secondary item consisting mainly of installing an Anti-Virus suite is now becoming one of the most important aspects of ATE. Given the current climate of IA it has become important to ensure ATE is kept safe from any breaches of security or loss of information. Even though most ATE are not on the Internet (or even on a network for many) they are still vulnerable to some of the same attack vectors plaguing common computers and other electronic devices. This paper will discuss some of the processes and procedures which must be used to ensure that modern ATE can continue to be used to test and detect faults in the systems they are designed to test. The common items that must be considered for ATE are as follows: The ATE system must have some form of Anti-Virus (as should all computers). The ATE system should have a minimum software footprint only providing the software needed to perform the task. The ATE system should be verified to have all the Operating System (OS) settings configured pursuant to the task it is intended to perform. The ATE OS settings should include password and password expiration settings to prevent access by anyone not expected to be on the system. The ATE system software should be written and constructed such that it in itself is not readily open to attack. The ATE system should be designed in a manner such that none of the instruments in the system can easily be attacked. The ATE system should insure any paths to the outside world (such as Ethernet or USB devices) are limited to only those required to perform the task it was designed for. These and many other common configuration concerns will be discussed in the paper.