ADRISYA: A Flow Based Anomaly Detection System for Slow and Fast Scan

Muraleedharan, Narendran; Parmar, Arun

doi:10.5121/ijnsa.2010.2417

IJNSA

2010

DOI: 10.5121/ijnsa.2010.2417

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ADRISYA: A Flow Based Anomaly Detection System for Slow and Fast Scan

Narendran Muraleedharan¹,

Arun Parmar²

Abstract: ABSTRACT

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2015

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Cited by 1 publication

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Audit and Processing of Anormaly Firewall Rules

Cao¹,

Gao²,

Yu³

2015

Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science

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1. Objectiv ： Firewall rules configuration has been the focus of network security research and this paper studies and improves the firewall rule audit method to improve the matching efficiency of firewall rules. 2. Method: This paper makes a detailed study of the relationship between firewall rules, and explain them by the concept of the collection, then summarizes anormaly conflicts, then the rule of the firewall is optimized by using statistical algorithm. 3. Results: This paper designs the hierarchical audit structure, simplifies the audit work, and applies the policy tree algorithm to audit the rule set of the firewall. At last, the model of the different anomaly is given. 4. Conclusion: The 7 anormalies in the experimental rule set are all discoveried, and the average matching times is reduced from 4.624 to 3.544.

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Audit and Processing of Anormaly Firewall Rules

Cao¹,

Gao²,

Yu³

2015

Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science

View full text Add to dashboard Cite

show abstract

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ADRISYA: A Flow Based Anomaly Detection System for Slow and Fast Scan

Abstract: ABSTRACT

Cited by 1 publication

References 15 publications

Audit and Processing of Anormaly Firewall Rules

Audit and Processing of Anormaly Firewall Rules

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