Analysis of Network Security Countermeasures From the Perspective of Improved FS Algorithm and ICT Convergence

Abstract

In this paper, the forward selection (FS) algorithm is introduced on the basis of information and communication technology, and the design of intrusion detection method for communication network is carried out. By studying the classification and detection pattern matching of communication network intrusion behavior, extracting the intrusion behavior features of communication network based on FS algorithm, and optimizing the intrusion detection and learning effect based on the limit learning machine, the intrusion behavior attributes of communication network are clarified, and a new detection method is proposed to solve the problems of low detection accuracy and low recall in the current intrusion behavior detection of complex communication network environments. Compared with the intrusion detection method based on GA-SVM algorithm, the accuracy of the detection results reaches 94.23%, and the recall rate exceeds 97%, which is obviously better than the 85% accuracy and 75% recall rate of the traditional detection method, which can ensure the security of the communication network environment. In addition, this paper proposes the APDR dynamic comprehensive information security assurance system model, which has considerable flexibility and can respond to current network security requirements.

Internet of Things Security Design Based on Blockchain and Identity Re-encryption

“…In Equation ( 1), T om represents the name of any IoT user, and the ID form of the IoT data requester is shown in Equation (2).…”

“…However, with the popularization of IoT devices, security issues are also becoming increasingly prominent. Attackers can use various means to attack IoT devices, such as stealing data, tampering with programs, and infecting malicious software, all of which can cause significant losses to users [1][2][3][4]. Blockchain technology is widely used in various fields due to its characteristics of decentralization, tamper resistance, and transparency.…”

Design of Industrial IoT Intrusion Security Detection System Based on LightGBM Feature Algorithm and Multi-layer Perception Network

“…The rapid development of machine learning has brought earth shattering changes to people's lifestyles, but it has also brought increasingly serious network security issues. The highly transparent internet has made the manifestations of network security threats more complex [1,2]. At the same time, computer network security protection is becoming increasingly important, and the confrontation between network intrusion and defence, infiltration and reverse osmosis will continue to escalate.…”