NDLI: LEAPS: Detecting Camouflaged Attacks with Statistical Learning Guided by Program Analysis

Content Provider	IEEE Xplore Digital Library
Author	Zhongshu Gu Kexin Pei Qifan Wang Luo Si Xiangyu Zhang Dongyan Xu
Copyright Year	2015
Description	Author affiliation: Dept. of Comput. Sci., Purdue Univ., West Lafayette, IN, USA (Zhongshu Gu; Kexin Pei; Qifan Wang; Luo Si; Xiangyu Zhang; Dongyan Xu)
Abstract	Currently cyber infrastructures are facing increasingly stealthy attacks that implant malicious payloads under the cover of benign programs. Existing attack detection approaches based on statistical learning methods may generate misleading decision boundaries when processing noisy data with such a mixture of benign and malicious behaviors. On the other hand, attack detection based on formal program analysis may lack completeness or adaptivity when modelling attack behaviors. In light of these limitations, we have developed LEAPS, an attack detection system based on supervised statistical learning to classify benign and malicious system events. Furthermore, we leverage control flow graphs inferred from the system event logs to enable automatic pruning of the training data, which leads to a more accurate classification model when applied to the testing data. Our extensive evaluation shows that, compared with pure statistical learning models, LEAPS achieves consistently higher accuracy when detecting real-world camouflaged attacks with benign program cover-up.
Starting Page	57
Ending Page	68
File Size	1090052
Page Count	12
File Format	PDF
e-ISBN	9781479986293
DOI	10.1109/DSN.2015.34
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-06-22
Publisher Place	Brazil
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Statistical learning Training Payloads Libraries Hidden Markov models Data models Feature extraction Program Analysis Attack Detection Statistical Learning
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

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