Evaluating how well agent-based IDS perform

Hegazy, Islam; Faheem, H. M.; Al-Arif, T.; Ahmed, Tanvir

doi:10.1109/mp.2005.1462463

Cited by 11 publications

(3 citation statements)

References 5 publications

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“…Another series of experiments were carried out to testify the feasibility of our resolution for intrusion detection in contrast to EssIDS experiments [19] as the Tab. 2 and Tab.3 showing.…”

Section: Results and Analysismentioning

confidence: 99%

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A Novel Network Security Evaluation System Based on Immune Principle

Sheng-hua

2007

The First International Symposium on Data, Privacy, and E-Commerce (ISDPE 2007)

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One significant feature of the theory immunology is the ability to adapt to changing environments and dynamically learning continuously. Inspired by the theory of artificial immune systems (AIS), a novel model of Agents of Network Danger Evaluation is presented. The concepts and formal definitions of immune cells are given, and dynamically evaluative equations for self, antigen, immune tolerance, mature-lymphocyte lifecycle and immune memory are presented, and the hierarchical and distributed management framework of the proposed model are built. Furthermore, the idea of dynamic immunological surveillance period is applied for enhancing the self-learning ability to adapt continuously variety environments. The experimental results show that the proposed model has the features of real-time processing that provide a good solution for network surveillance.

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“…Another series of experiments were carried out to testify the feasibility of our resolution for intrusion detection in contrast to EssIDS experiments [19] as the Tab. 2 and Tab.3 showing.…”

Section: Results and Analysismentioning

confidence: 99%

“…Fig.7 shows when Ping Sweep Attack and DoS Attack occur, NetSTAT holds higher detection rate than other three-detection systems [19], [20], [21].…”

Section: Results and Analysismentioning

confidence: 99%

A Novel Network Security Evaluation System Based on Immune Principle

Sheng-hua

2007

The First International Symposium on Data, Privacy, and E-Commerce (ISDPE 2007)

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“…Apart from inheriting the original characteristics of Agent, immune agent also has the characters of evolution, diversity, tolerance and detection [7,8] properties etc. 1) Evolution: Following the evolution law, IA activates antibodies, which can effectively recognize antigens, into higher form, while eliminates the inefficient one.…”

Section: System Principles Of the Detection Model Based On Immune Mulmentioning

confidence: 99%

A Network Intrusion Detection Model Based on Immune Multi-Agent

Liu¹,

Liu²,

Li³

et al. 2009

IJCNS

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A new network intrusion detection model based on immune multi-agent theory is established and the concept of multi-agents is advanced to realize the logical structure and running mechanism of immune multi-agent as well as multi-level and distributed detection mechanism against network intrusion, using the adaptability, diversity and memory properties of artificial immune algorithm and combing the robustness and distributed character of multi-agents system structure. The experiment results conclude that this system is working pretty well in network security detection

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Immune Multi-agent Active Defense Model for Network Intrusion

Liu

Diangang

et al. 2006

Lecture Notes in Computer Science

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Evaluating how well agent-based IDS perform

Cited by 11 publications

References 5 publications

A Novel Network Security Evaluation System Based on Immune Principle

A Novel Network Security Evaluation System Based on Immune Principle

A Network Intrusion Detection Model Based on Immune Multi-Agent

Immune Multi-agent Active Defense Model for Network Intrusion

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