Earticle

초록

영어

Several Techniques and requirements including intrusion detection system are used to detect the behavior of selfish node in MANET. The main requirement is that the system must be effective i.e. it must detect a substantial percentage of intrusions in the supervised systems, while keeping the false alarm rate at an acceptable level. The existing system in the literature uses the watchdog method to detect the selfish nodes only to certain extent in the network. In order to detect the selfish nodes in the entire network the proposed system uses a false alarm method. In the false alarm method the reason for generation of alarm is found. The degree of selfishness is calculated to confirm the behavior of the selfish node. If the value of the selfish node is more than the threshold then the alarm is due to the nodes behavior else the alarm is due to the network disconnections. The network disconnections are detected using false alarm detection algorithm. The detection of the false alarm leads to better performance in the overall network.

목차

Abstract
 1. Introduction
 2. Related Works
 3. System Analysis
  3.1. Advantages
 4. Conclusion
 References

키워드

저자

• M. Sandhini [ Master of Technology, Department of Computer Science and Engineering, Rajiv Gandhi College of Engineering &Technology, India ]
• S. Saravanan [ Assistant Professor (SL.G), Department of Computer Science and Engineering, Rajiv Gandhi College of Engineering &Technology, India ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Future Generation Communication and Networking

• 간기

  격월간

• pISSN

  2233-7857

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605