NDLI: Garlic: A Distributed Botnets Suppression System

Content Provider	IEEE Xplore Digital Library
Author	Fuye Han Zhen Chen HongFeng Xu Yong Liang
Copyright Year	2012
Abstract	Botnets are extremely versatile and are used in many attacks, for example, sending huge volumes of spam or launching Distributed Denial-of-Service (DDoS) attacks. With the development of network technology, suppressing botnets become more and more difficult. There are many reasons, firstly, the bot master will keep their own botnets as small as possible not only to hide themselves but also to rent the botnets in an easy way, secondly, bots can automatically change their command and control server (C&C) in order to hide and rescue themselves. Completely suppressing botnets is an extremely difficult challenge, but is not impossible. In this paper, we present an automatic and distributed botnets suppressing system called Garlic. Its structure is very similar to garlic, whose cloves are also distributed. This system can automatically collect network traffic from the botnet in a distributed mode, and then process these huge data using cloud computing technology, the Garlic system will generate and distribute rules when botnets are detected in data analysis. The most important feature of the Garlic is its close loop control characteristics, i.e., gather the feedback events resulted from the deployed rules, process and analyze in central node, and regenerate more effective rules to further suppress the new variant botnets. Finally, Garlic is evaluated and tested in the test bed to demonstrate its workability.
Starting Page	634
Ending Page	639
File Size	710114
Page Count	6
File Format	PDF
ISBN	9781467314237
ISSN	15450678
e-ISBN	9781467314237
DOI	10.1109/ICDCSW.2012.30
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Servers Fires Protocols Telecommunication traffic Computer architecture Cloud computing Process control forensics botnet network security collaboration
Content Type	Text
Resource Type	Article

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

A Novel Approach to Detect IRC-Based Botnets

Challenges to network forensics in cloud computing

Distributed agent-based real time network intrusion forensics system architecture design

Detecting P2P Botnets Using a Multi-phased Flow Model

Parallel botnet detection system by using GPU

Collaboration-based Botnet Detection Architecture

Botnet evolution: Network traffic indicators

A Method Based on AMHI for DDoS Attacks Detection and Defense

Architecture for Applying Data Mining and Visualization on Network Flow for Botnet Traffic Detection

Garlic: A Distributed Botnets Suppression System

Similar Documents

A Novel Approach to Detect IRC-Based Botnets

Challenges to network forensics in cloud computing

Distributed agent-based real time network intrusion forensics system architecture design

Detecting P2P Botnets Using a Multi-phased Flow Model

Parallel botnet detection system by using GPU

Collaboration-based Botnet Detection Architecture

Botnet evolution: Network traffic indicators

A Method Based on AMHI for DDoS Attacks Detection and Defense

Architecture for Applying Data Mining and Visualization on Network Flow for Botnet Traffic Detection

Garlic: A Distributed Botnets Suppression System