earticle

논문검색

Research on Intrusion Detection Systems and Unknown Malcode Detection based on Network Behavior

원문정보

초록

영어

In all kinds of Internet security incidents, the most serious is malicious code. The increasingly serious problem caused by malicious code, not only make the enterprises and users suffered huge economic losses, but also makes network security facing serious threat. In this paper, based on the analysis of malicious code detection technology and detection system, the author designs and implements an unknown malicious code detection system based on network behavior analysis. Test results show that the detection system can distinguish three kinds of ARP attack; it can produce normal alarm information and achieve the desired results. At the same time, the network behavior analysis method needs to be further improved in order to achieve better analysis results, and provide more reliable results for the detection system.

목차

Abstract
 1. Introduction
 2. Literature Eeview
  2.1. Malicious Code
  2.2. Malicious Code Detection
 3. Network Behavior Analysis
  3.1. Network Infrastructure
  3.2. Protocol Analysis
  3.3. Main Methods of Network Behavior Analysis
 4. System Design and Implementation
  4.1. Malicious Code Detection System
  4.2. Test Result
 5. Conclusions
 References

저자정보

  • Xiaoyong YU School of Information Engineering, Suzhou University, Suzhou city, Anhui province, 234000, China

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

      0개의 논문이 장바구니에 담겼습니다.