NDLI: Low-Rate DDoS Attacks Detection and Traceback by Using New Information Metrics

Content Provider	IEEE Xplore Digital Library
Author	Yang Xiang Ke Li Wanlei Zhou
Copyright Year	2005
Abstract	A low-rate distributed denial of service (DDoS) attack has significant ability of concealing its traffic because it is very much like normal traffic. It has the capacity to elude the current anomaly-based detection schemes. An information metric can quantify the differences of network traffic with various probability distributions. In this paper, we innovatively propose using two new information metrics such as the generalized entropy metric and the information distance metric to detect low-rate DDoS attacks by measuring the difference between legitimate traffic and attack traffic. The proposed generalized entropy metric can detect attacks several hops earlier (three hops earlier while the order α = 10 ) than the traditional Shannon metric. The proposed information distance metric outperforms (six hops earlier while the order α = 10) the popular Kullback-Leibler divergence approach as it can clearly enlarge the adjudication distance and then obtain the optimal detection sensitivity. The experimental results show that the proposed information metrics can effectively detect low-rate DDoS attacks and clearly reduce the false positive rate. Furthermore, the proposed IP traceback algorithm can find all attacks as well as attackers from their own local area networks (LANs) and discard attack traffic.
Sponsorship	IEEE Signal Processing Society
Starting Page	426
Ending Page	437
Page Count	12
File Size	2066538
File Format	PDF
ISSN	15566013
Volume Number	6
Issue Number	2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Measurement Entropy Computer crime IP networks Probability distribution Information entropy Collaboration low-rate distributed denial of service (DDoS) attack Attack detection information metrics IP traceback
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Safety, Risk, Reliability and Quality

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

Adaptive IP traceback mechanism for detecting low rate DDoS attacks

A rate limiting mechanism for defending against flooding based distributed denial of service attack

Information metrics for low-rate DDoS attack detection: A comparative evaluation

Towards Improving an Algebraic Marking Scheme for Tracing DDoS Attacks

A survey of defense mechanisms against application layer distributed denial of service attacks

IP traceback system for denial-of-service attacks

Non-intrusive IP traceback for DDoS attacks

DDoS flooding attack detection through a step-by-step investigation

FireCol: A Collaborative Protection Network for the Detection of Flooding DDoS Attacks

Low-Rate DDoS Attacks Detection and Traceback by Using New Information Metrics

Similar Documents

Adaptive IP traceback mechanism for detecting low rate DDoS attacks

A rate limiting mechanism for defending against flooding based distributed denial of service attack

Information metrics for low-rate DDoS attack detection: A comparative evaluation

Towards Improving an Algebraic Marking Scheme for Tracing DDoS Attacks

A survey of defense mechanisms against application layer distributed denial of service attacks

IP traceback system for denial-of-service attacks

Non-intrusive IP traceback for DDoS attacks

DDoS flooding attack detection through a step-by-step investigation

FireCol: A Collaborative Protection Network for the Detection of Flooding DDoS Attacks

Low-Rate DDoS Attacks Detection and Traceback by Using New Information Metrics