NDLI: High Perception Intrusion Detection System Using Neural Networks

Content Provider	IEEE Xplore Digital Library
Author	Abou Haidar, G. Boustany, C.
Copyright Year	2015
Description	Author affiliation: Dept. of Comput. & Commun. Eng., American Univ. of Sci. & Technol., Beirut, Lebanon (Abou Haidar, G.) \|\| Dept. of Comput. Sci., American Univ. of Sci. & Technol., Beirut, Lebanon (Boustany, C.)
Abstract	Computer networks threats are becoming one the most widely debated issues worldwide. Various types of attacks are generated periodically and in an increasing scale alarming and threatening networking security issues. This is leading tone serious and fast development of feasible techniques for developing effective Intrusion Detection Systems (IDS's). In this context, some of the widely used and tested IDS's are discussed. Anomaly-based network intrusion detection techniques are getting the attention in most of the networking fields to protect network systems against malicious acts, providing a good security level especially with the integration of neural networks in the detection systems which provided advanced methods of threats investigation and detection. This paper emphasizes the importance of anomaly-based intrusion detection techniques, the important outcomes of these systems, latest developed methods and what is expected from the future experiments in this field. Moreover, the technique of learning user profiles effects in detecting intrusions will be discussed. Finally, the lights will be shed on an offline approach using Multi Layer Perceptron (MLP) and Self Organizing Maps(SOM) which is a distinguished method in intrusion detection.
Starting Page	497
Ending Page	501
File Size	222299
Page Count	5
File Format	PDF
e-ISBN	9781479988709
DOI	10.1109/CISIS.2015.73
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-08
Publisher Place	Brazil
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computers Mobile agents Neural networks Intrusion detection Anomaly-based networks Monitoring Engines Multi-Layered Perceptron (MLP) Intrusion detection systems
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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