| 한글제목(Korean Title) |
An Efficient Detection And Management Of False Accusation Attacks In Hierarchical Ad-Hoc Networks |
| 영문제목(English Title) |
An Efficient Detection And Management Of False Accusation Attacks In Hierarchical Ad-Hoc Networks |
| 저자(Author) |
Yunho Lee
Sang-Guun Yoo
Soojin Lee
|
| 원문수록처(Citation) |
VOL 06 NO. 07 PP. 1874 ~ 1893 (2012. 07) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
An approach to detect abnormal activities based on reputations created individually by each node is vulnerable to a false accusation since intrusion detection in ad-hoc networks is done in a distributed and cooperative manner. Detection of false accusation is considered important because the efficiency or survivability of the network can be degraded severely if normal nodes were excluded from the network by being considered as abnormal ones in the intrusion detection process. In this paper, we propose an improved reputation-based intrusion detection technique to efficiently detect and manage false accusations in ad-hoc networks. Additionally, we execute simulations of the proposed technique to analyze its performance and feasibility to be implemented in a real environment. |
| 키워드(Keyword) |
Ad-hoc network
intrusion detection
false accusation
reputation
|
| 파일첨부 |
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