NDLI: Threat Analysis of Incubation Period in Malware Epidemics

Content Provider	IEEE Xplore Digital Library
Author	Seong-Woo Kim Jong-Ho Park Eun-Dong Lee Mid-Eum Choi Seung-Woo Seo
Copyright Year	2010
Abstract	Epidemic malicious codes including Internet worms and botnets have continuously evolved to be more intelligent and complicated. In particular, the recent distributed denial-of-service (DDoS) attack that occurred in United States and South Korea in July, 2009 gives an opportunity to reconsider the epidemic malicious code. Since automatic patching systems and intelligent intrusion detection and prevention systems mitigate rapid infection, fast infections such as Slammer-like worms cannot successfully spread. As of the 2009 July DDoS attack, malicious codes prefer hiding their malicious activities and trying to infect others silently until D-day. Since slow infection is difficult to detect by the current IDS or IPS, this infection strategy is likely to become prevalent. In a slow infection, the incubation period is a key factor in determining the extent to which an epidemic malicious code spreads. This study provides an analysis framework to understand the impact of incubation period in the spread of epidemic malicious code. Intuitively, a longer latent period increases the number of infected hosts, but the detection probability also increases. This trade-off suggests an optimal incubation period determination problem to maximize the number of infected hosts. Solving this problem is essential to predicting the explicit or implicit intention of attackers and to counteract against the attack in a strategic manner. Through analysis and simulations, we provide data and insight regarding epidemic malicious code that exploits incubation period.
Starting Page	1
Ending Page	5
File Size	383285
Page Count	5
File Format	PDF
ISBN	9781424425181
ISSN	15502252
DOI	10.1109/VETECS.2010.5493659
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-05-16
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer worms Internet Computer crime Intrusion detection Buffer overflow Intelligent systems Analytical models Distributed computing National security Government
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Electrical and Electronic Engineering Computer Science Applications

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