An Anomalistic Electromagnetism Signal Detection Model Based on Artificial Immune System

Ma, Jie; Shi, Yuxin; Zi-fa, Zhong; Liu, Xiang

doi:10.1109/icciis.2010.68

Cited by 2 publications

(2 citation statements)

References 6 publications

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“…But the infrastructure of network becomes more complicated. More extensive application of distributed environment, mass storage, high bandwidth transmission speed and a few novel or cooperative intrusion happen constantly, which cause new interest in intrusion detection research [4,5]. Soft computing is a novel method constructing computational intelligence system.…”

Section: Introductionmentioning

confidence: 99%

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A New Intrusion Detection Model Based on Artificial Immune Algorithm

Liao¹,

Li²,

Li³

2015

TOCSJ

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This paper introduces artificial immune to intrusion detection system through the analysis of the similarity of artificial immune and intrusion detection and puts forward a model of intrusion detection system based on artificial immune distributed agent. Firstly the system model structure is introduced and a hierarchical structure of intelligent agent is presented as well as a dynamic evolution model. At the same time a kind of vaccine immunization algorithm is put forward and network risk evaluation operator is given to evaluate real-time network security situation. This algorithm can keep the diversity of antibodies, and simultaneously has high convergence speed. The experimental results show that the proposed model has the feature of real-time processing that provides a good solution for heterogeneous fleet high-speed network environment.

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Section: Introductionmentioning

confidence: 99%

“…The immune system is an important part of the biology information processing system, which has task to protect the safety of the body and is essentially a large-scale distributed information processing system [4][5][6][7]. It has the ability of self-learning, self-organization and the parallel processing at the same time.…”

Section: Introductionmentioning

confidence: 99%

A New Intrusion Detection Model Based on Artificial Immune Algorithm

Liao¹,

Li²,

Li³

2015

TOCSJ

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A Multi-Dimensional approach towards Intrusion Detection System

Thakur¹,

Sanyal²

2012

IJCA

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In this paper, we suggest a multi-dimensional approach towards intrusion detection. Network and system usage parameters like source and destination IP addresses; source and destination ports; incoming and outgoing network traffic data rate and number of CPU cycles per request are divided into multiple dimensions. Rather than analyzing raw bytes of data corresponding to the values of the network parameters, a mature function is inferred during the training phase for each dimension.

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An Anomalistic Electromagnetism Signal Detection Model Based on Artificial Immune System

Cited by 2 publications

References 6 publications

A New Intrusion Detection Model Based on Artificial Immune Algorithm

A New Intrusion Detection Model Based on Artificial Immune Algorithm

A Multi-Dimensional approach towards Intrusion Detection System

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