NDLI: Implementation of a DNA-based anomaly identification system utilizing associative string processor (ASP)

Content Provider	IEEE Xplore Digital Library
Author	Trabelsi, Z. Hamdy, R.
Copyright Year	2010
Description	Author affiliation: College of Information Technology, United Arab Emirates University, UAE (Trabelsi, Z.; Hamdy, R.)
Abstract	The genetic material that encodes the unique characteristics of each individual, such as gender, eye color, and other human features is the well-known DNA. In this work, we introduce an anomaly intrusion detection system, built on the notion of a DNA sequence or gene, which is responsible for the normal network traffic patterns. Subsequently, the system detects suspicious activities by searching the “normal behavior DNA sequence” through string matching. Conversely, string matching is a computationally intensive task and can be converted into a potential bottleneck without high-speed processing. Furthermore, conventional software implemented string matching algorithms have not kept pace with the ever increasing network speeds. As a result, we adopt a monitoring phase that is hardware implemented with the intention that DNA pattern matching is performed at wire-speed. Finally, we provide the details of our FPGA implementation of the bioinformatics-based string matching technique. The associative string processor (ASP) is an associative memory-based micro-architecture with long fixed-length words that can be partially searched. We show that the proposed micro-architecture can handle fixed-length patterns at a rate of more than one character per cycle.
Starting Page	1
Ending Page	8
File Size	3295779
Page Count	8
File Format	PDF
ISBN	9781424477166
e-ISBN	9781424477173
DOI	10.1109/AICCSA.2010.5586949
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-05-16
Publisher Place	Tunisia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Artificial neural networks DNA CAM FPGA anomaly identification Network Intrusion Detection DNA computing pattern matching bioinformatics
Content Type	Text
Resource Type	Article

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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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