Communication Behaviour-Based Big Data Application to Classify and Detect HTTP Automated Software
Joint Authors
Tran, Manh Cong
Nakamura, Yasuhiro
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-07-27
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Abstract EN
HTTP is recognized as the most widely used protocol on the Internet when applications are being transferred more and more by developers onto the web.
Due to increasingly complex computer systems, diversity HTTP automated software (autoware) thrives.
Unfortunately, besides normal autoware, HTTP malware and greyware are also spreading rapidly in web environment.
Consequently, network communication is not just rigorously controlled by users intention.
This raises the demand for analyzing HTTP autoware communication behaviour to detect and classify malicious and normal activities via HTTP traffic.
Hence, in this paper, based on many studies and analysis of the autoware communication behaviour through access graph, a new method to detect and classify HTTP autoware communication at network level is presented.
The proposal system includes combination of MapReduce of Hadoop and MarkLogic NoSQL database along with xQuery to deal with huge HTTP traffic generated each day in a large network.
The method is examined with real outbound HTTP traffic data collected through a proxy server of a private network.
Experimental results obtained for proposed method showed that promised outcomes are achieved since 95.1% of suspicious autoware are classified and detected.
This finding may assist network and system administrator in inspecting early the internal threats caused by HTTP autoware.
American Psychological Association (APA)
Tran, Manh Cong& Nakamura, Yasuhiro. 2016. Communication Behaviour-Based Big Data Application to Classify and Detect HTTP Automated Software. Journal of Electrical and Computer Engineering،Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1108410
Modern Language Association (MLA)
Tran, Manh Cong& Nakamura, Yasuhiro. Communication Behaviour-Based Big Data Application to Classify and Detect HTTP Automated Software. Journal of Electrical and Computer Engineering No. 2016 (2016), pp.1-11.
https://search.emarefa.net/detail/BIM-1108410
American Medical Association (AMA)
Tran, Manh Cong& Nakamura, Yasuhiro. Communication Behaviour-Based Big Data Application to Classify and Detect HTTP Automated Software. Journal of Electrical and Computer Engineering. 2016. Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1108410
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1108410