NDLI: Danger theory based SYN flood attack detection in autonomic network

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Research and education activities of the department of security of information technologies of taganrog institute of technology of the southern federal university in the field of information security

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Danger theory based SYN flood attack detection in autonomic network

Content Provider	ACM Digital Library
Author	Rawat, Sanjay Saxena, Ashutosh
Abstract	In the context of autonomic environment, we present a simple yet, effective Danger Theory based method to detect TCP SYN Flooding attack. An autonomous communication network consists of self-managed (i.e. self-configuring, self-awareness, self-optimization, self-healing and self-protection, collectively denoted as self-) entities. These self- properties ensure functioning of the network without or very minimum human intervention. In such an environment, security of the system is very challenging as there is no dedicated authority to monitor malicious activities and each entity, the computing device, has to monitor itself. Denial of service (DoS) attack, in particular flooding attack, is one of the most frequent and devastating attacks on networks. Traditionally, the detection of flooding attacks is achieved by a network-based intrusion detection system (IDS), mainly relying on the statistical characteristics of network data with fine tuning from a human administrator by monitoring the traffic continuously. Obviously, such facility is not assumed in autonomic networks. We, therefore, propose a danger theory based approach that can detect DoS attack in an automatic manner. The proposed scheme is able to detect SYN flood attack in its early stage, thereby enabling to control the damage. To empirically validate our proposal, we conduct experiments in a simulated environment and the results are encouraging. We assert that the work will be useful in designing the security of autonomic networks.
Starting Page	213
Ending Page	218
Page Count	6
File Format	PDF
ISBN	9781605584126
DOI	10.1145/1626195.1626248
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2009-10-06
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Syn flood attack Adaptive threshold Danger theory Intrusion detection Autonomic networks Artificial immune system
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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