NDLI: Inside the Permutation-Scanning Worms: Propagation Modeling and Analysis

Content Provider	IEEE Xplore Digital Library
Author	Manna, P.K. Shigang Chen Ranka, S.
Copyright Year	1993
Abstract	In recent years, both sophistication and damage potential of Internet worms have increased tremendously. To understand their threat, we need to look into their payload for signatures as well as propagation pattern for Internet-scale behavior. An accurate analytical propagation model allows us to comprehensively study how a worm propagates under various conditions, which is often computationally too intensive for simulations. More importantly, it gives us an insight into the impact of each worm/network parameter on the propagation of the worm. Traditionally, most modeling work in this area concentrates on the relatively simple random-scanning worms. However, modeling the permutation-scanning worms, a class of worms that are fast yet stealthy, has been a challenge to date. This paper proposes a mathematical model that precisely characterizes the propagation patterns of the general permutation-scanning worms. The analytical framework captures the interactions among all infected hosts by a series of interdependent differential equations, which are then integrated into closed-form solutions that together present the overall worm behavior. We use the model to study how each worm/network parameter affects the worm propagation. We also investigate the impact of dynamic network conditions on the correctness of the model.
Sponsorship	IEEE Computer Society IEEE Communications Society Association for Computing Machinery (ACM)
Starting Page	858
Ending Page	870
Page Count	13
File Size	703084
File Format	PDF
ISSN	10636692
Volume Number	18
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer worms Internet Computational modeling Analytical models Counting circuits Information science Payloads Mathematical model Differential equations Closed-form solution worm modeling Network security
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Electrical and Electronic Engineering Computer Science Applications Software

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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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