Design and research of network security threat detection and traceability system based on AI

2021 ◽  
Author(s):  
Hui Wang ◽  
Xuelong Wang ◽  
Hua Wu ◽  
Heqing Wang ◽  
Lu Zhang ◽  
...  
2014 ◽  
Vol 971-973 ◽  
pp. 1684-1687
Author(s):  
Xiu Juan Sun

this article from the various security threats facing the computer network, systematically introduces the network security technology. And in view of the campus network security issues, firstly analyzes the hidden dangers to the safety of network system in colleges and universities, and then from the build two aspects of security defense system and strengthen the safety management design of the campus network security policy. This paper study, the first thing I learned the main threat to the network security problem, and use the knowledge of security network security problems are analyzed. Secondly, based on the research of the network technology, campus network will also be faced with the security threat. Finally, the idea of established with P2DR model to establish campus network security defense system. And it is concluded that the building of a set of effective network security defense system is the solution Campus network main threats and hidden trouble of necessary ways and measures.


Author(s):  
Chanintorn Jittawiriyanukoon

<span>To secure a wealth of data traversing the computer network at your fingertips is compulsory. But when attack arises at various parts of the network it is difficult to protect, especially when each incident is investigated separately. Geography is a necessary construct in computer networks. The analytics of geography algorithms and metrics to curate insight from a security problem are a critical method of analysis for computer systems. A geography based representation is employed to highlight aspects (on a local and global level) of a security problem which are Eigenvalue, eccentricity, clustering coefficient and cliques. Network security model based on attack undirected geography (AUG) is familiarized. First, analysis based upon association rules is presented then the attack threshold value is set from AUG. The probability of an individual attack edge and associated network nodes are computed in order to quantify the security threat. The simulation is exploited to validate that results are effective.</span>


2014 ◽  
Vol 686 ◽  
pp. 458-462
Author(s):  
Zi Yan Shi ◽  
Guo Lin Zhao ◽  
Qiao Lin Hu

The security evaluation for an information network system is an important management tool to insure its normal operation. We must realize the significance of the comprehensive network security risks. A network evaluation model and the algorithm are presented and adapt the hierarchical method to characterize the security risk situation. The evaluation method is used to evaluate the key nodes and the mathematics is used to analyze the whole network security situation. Compared with others, the method can automatically create a rule-based security evaluation model to evaluate the security threat from the individual security elements and the combination of security elements, and then evaluation the network situation. It is shown that this system provides a valuable model and algorithms to help to find the security rules, adjust the security measure, improve the security performance and design the appropriate security risk evaluation and management tools.


2021 ◽  
Vol 20 (1) ◽  
pp. 127-132
Author(s):  
Fadilah Eka Prasetiyo ◽  
Didik Setiyadi Setiyadi

The comfort and safety of a house is the dream of any home owner, even a house that has a modern security system will be more in demand than a house with an ordinary security system. By utilizing existing technology, it is possible to create an excellent security system from theft and fire. In order to overcome these problems, a prototype of a security threat detection system was made using telegrams based on the internet of things. This can minimize the inconvenience of home owners when they are not at home in a long time, such as the owner of the house going out of town or abroad. The design of this smart home uses the NodeMCU ESP8266 Wifi Module as a controller, the telegram application as a notification when an unknown person opens a door or window, and when a fire occurs. The sensor used to detect the security of burglars is a Magnetic Door Switch, this sensor is placed on doors and windows. The sensor used to detect fire indications is the Flame Sensor which is placed on the ceiling of the house


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