NDLI: Analysis of Firewall Policy Rules Using Data Mining Techniques

Content Provider	IEEE Xplore Digital Library
Author	Golnabi, K. Min, R.K. Khan, L. Al-Shaer, E.
Copyright Year	2006
Description	Author affiliation: Dept. of Comput. Sci., Texas Univ., Dallas, TX (Golnabi, K.; Min, R.K.; Khan, L.)
Abstract	Firewall is the de facto core technology of today's network security and defense. However, the management of firewall rules has been proven to be complex, error-prone, costly and inefficient for many large-networked organizations. These firewall rules are mostly custom-designed and hand-written thus in constant need for tuning and validation, due to the dynamic nature of the traffic characteristics, ever-changing network environment and its market demands. One of the main problems that we address in this paper is that how much the firewall rules are useful, up-to-dated, well-organized or efficient to reflect the current characteristics of network traffics. In this paper, we present a set of techniques and algorithms to analysis and manage firewall policy rules: (1) data mining technique to deduce efficient firewall policy rules by mining its network traffic log based on its frequency, (2) filtering-rule generalization (FRG) to reduce the number of policy rules by generalization, and (3) a technique to identify any decaying rule and a set of few dominant rules, to generate a new set of efficient firewall policy rules. The anomaly detection based on the mining exposes many hidden but not detectable by analyzing only the firewall policy rules, resulting in two new types of the anomalies. As a result of these mechanisms, network security administrators can automatically review and update the rules. We have developed a prototype system and demonstrated usefulness of our approaches
Starting Page	305
Ending Page	315
File Size	1002060
Page Count	11
File Format	PDF
ISBN	1424401429
ISSN	15421201
DOI	10.1109/NOMS.2006.1687561
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-04-03
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data mining Telecommunication traffic Computer science Technology management Internet Communication system traffic control Management information systems Information security Computer network management Computer errors policy firewall data mining network security
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