Performance improvement of intrusion detection with fusion of multiple sensors

被引:13
|
作者
Shah, Vrushank [1 ]
Aggarwal, Akshai K. [2 ]
Chaubey, Nirbhay [3 ]
机构
[1] 21-246 Parasnagar 2, Solaroad, Ahmadabad, Gujarat, India
[2] Gujarat Technol Univ, Ahmadabad, Gujarat, India
[3] S S Agarwal Inst Comp Sci, Navsari, Gujarat, India
关键词
Intrusion; KDD99; Fusion; Evidence theory; False alarm rate;
D O I
10.1007/s40747-016-0033-5
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Intrusion detection has become a challenging task with the rapid growth in numbers of computer users. The present-day technology requires an efficient method to detect intrusion in the computer network system. Intrusion detection system is a classifier which collects evidences for the presence of intrusion and raises an alarm for any abnormalities present. However, the use of intrusion detection system encounters two major drawbacks: higher false alarm rate and lower detection rate; these limit the detection performance of intrusion detection system. A prospective approach for improving performance is through the use of multiple sensors/intrusion detection system. Evidence theory is a mathematical theory of evidence which is used to fuse evidences from multiple sources of evidence and outputs a global decision. The work in this paper discusses the limitations and issues with evidence theory and proposes a modified framework for fusion of alarms of multiple intrusion detection systems.
引用
收藏
页码:33 / 39
页数:7
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