NDLI: Adaptive distributed mechanism against flooding network attacks based on machine learning

Please wait, while we are loading the content...

POSH: a generalized captcha with security applications

Open problems in the security of learning

Opportunities for private and secure machine learning

Robust content-driven reputation

Adaptive distributed mechanism against flooding network attacks based on machine learning

Cyber security and artificial intelligence: from fixing the plumbing to smart water

Malware detection using adaptive data compression

User-controllable learning of security and privacy policies

Cognitive security for personal devices

A data mining approach for analysis of worm activity through automatic signature generation

Automatic feature selection for anomaly detection

Adaptive distributed mechanism against flooding network attacks based on machine learning

Content Provider	ACM Digital Library
Author	Gavaldà, Ricard Poggi, Nicolas Alonso, Javier Berral, Josep L. Torres, Jordi Parashar, Manish
Abstract	Adaptive techniques based on machine learning and data mining are gaining relevance in self-management and self-defense for networks and distributed systems. In this paper, we focus on early detection and stopping of distributed flooding attacks and network abuses. We extend the framework proposed by Zhang and Parashar (2006) to cooperatively detect and react to abnormal behaviors before the target machine collapses and network performance degrades. In this framework, nodes in an intermediate network share information about their local traffic observations, improving their global traffic perspective. In our proposal, we add to each node the ability of learning independently, therefore reacting differently according to its situation in the network and local traffic conditions. In particular, this frees the administrator from having to guess and manually set the parameters distinguishing attacks from non-attacks: now such thresholds are learned and set from experience or past data. We expect that our framework provides a faster detection and more accuracy in front of distributed flooding attacks than if static filters or single-machine adaptive mechanisms are used. We show simulations where indeed we observe a high rate of stopped attacks with minimum disturbance to the legitimate users.
Starting Page	43
Ending Page	50
Page Count	8
File Format	PDF
ISBN	9781605582917
DOI	10.1145/1456377.1456389
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2008-10-27
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Ddos Flooding attacks Cooperative Intrusion detection Machine learning Autonomic computing
Content Type	Text
Resource Type	Article

Central Library (ISO-9001:2015 Certified)
Indian Institute of Technology Kharagpur
Kharagpur, West Bengal, India | PIN - 721302

See location in the Map
03222 282435
Mail: support@ndl.gov.in

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
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
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in