earticle

논문검색

Intrusion Detection System : A Review

초록

영어

With the incredible expansion of network-based services and responsive information on networks, network protection and security is getting more and more significance than ever. Intrusion poses a serious security risk in network surroundings. The ever rising new intrusion or attacks type poses severe difficulties for their detection. The human labeling of the accessible network audit information instances is generally tedious, expensive as well as time consuming. This paper focuses on study of existing intrusion detection task by using data mining techniques and discussing on various issues in existing intrusion detection system (IDS) based on data mining techniques.

목차

Abstract
 1. Introduction
 1.1 Types of Networking Attacks
 2. Survey Work
  2.1 Some Popular Data Mining Methods used in Various Researches
 3. Issues in Traditional IDS
 4. Discussion
 5. Conclusion
 References

저자정보

  • Sanjay Sharma Department of CSE & IT Madhav Institute of Technology and Science, Gwalior (M.P.), India
  • R. K. Gupta Department of CSE & IT Madhav Institute of Technology and Science, Gwalior (M.P.), India

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

      0개의 논문이 장바구니에 담겼습니다.