Fuzzy intrusion detection system for MANET packet dropping attack

Tingting LU; Xu HAN

doi:10.11959/j.issn.1000-0801.2016263

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Fuzzy intrusion detection system for MANET packet dropping attack

research and development | 更新时间：2024-06-05

- Fuzzy intrusion detection system for MANET packet dropping attack
- Telecommunications Science Vol. 32, Issue 10, Pages: 124-129(2016)
- 作者机构：
  
  1. 江苏食品药品职业技术学院，江苏淮安223003
  2. 河南牧业经济学院信息与电子工程学院，河南郑州450044
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2016263
  CLC： TP.393.03
- Published Online：2016-10，
  
  Published：20 October 2016
- 稿件说明：
移动端阅览
Tingting LU, Xu HAN. Fuzzy intrusion detection system for MANET packet dropping attack[J]. Telecommunications science, 2016, 32(10): 124-129.
DOI：

Tingting LU, Xu HAN. Fuzzy intrusion detection system for MANET packet dropping attack[J]. Telecommunications science, 2016, 32(10): 124-129. DOI： 10.11959/j.issn.1000-0801.2016263.

摘要

为了检测MANET报文丢弃攻击行为，提出一种异常模糊入侵检测系统（FIADS）。FIADS基于Sugeno型模糊推理，通过分布式方式检测每个节点可能遭受的攻击行为，并通过移除所有可能实施攻击的恶意节点提高MANET频谱资源。最后，构建模糊规则库仿真分析了FIADS，并和传统IDES进行了性能比较。仿真结果证明，相比IDES

FIADS能够有效检测报文丢弃攻击，具有更高的识别效率。

Abstract

For further detecting the packet dropping attack action

a fuzzy intrusion abnormity-based detection system（FIADS）was proposed. Based on Sugeno-type fuzzy inference system

FIADS detected the attack actions of each node by a distributed manner

and then moved these malicious nodes out of MANET to improve the frequency spectrum resource of MANET. Finally

fuzzy rules base was made to analyze FIADS

and comparison between FIADS and the traditional IDES was made. The simulation results show that

compared with IDES

FIADS can effectively detect the packet dropping attack action

and owns a higher detection efficiency.

关键词

Keywords

references

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