Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/26467
Title: A framework for lamstar neural network based intrusion detection system
Researcher: Venkatachalam V
Guide(s): Selvan S
Keywords: information and communication engineering
intrusion detection system
lamstar neural network
Upload Date: 10-Oct-2014
University: Anna University
Completed Date: 01/08/2009
Abstract: Computer systems vulnerabilities such as software bugs are often newlineexploited by malicious users to intrude into information systems with the newlinerecent growth of the Internet such security limitations are becoming more and newlinemore pressing Passwords and encryption have for some time provided an newlineimportant initial defense Given a clever and malicious individual these newlinedefenses can however often be circumvented Intrusion detection is newlinetherefore needed as another way to protect computer systems Due to newlineincreasing incidents of cyber attacks building effective intrusion detection newlinesystems IDS are essential for protecting information systems security and newlineyet it remains an elusive goal and a great challenge newline newline
Pagination: xxvii,226p.
URI: http://hdl.handle.net/10603/26467
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File12.97 kBAdobe PDFView/Open
02_certificate.pdf5.68 kBAdobe PDFView/Open
03_abstract.pdf10.59 kBAdobe PDFView/Open
04_acknowledgement.pdf6.31 kBAdobe PDFView/Open
05_contents.pdf60.39 kBAdobe PDFView/Open
06_chapter 1.pdf189.46 kBAdobe PDFView/Open
07_chapter 2.pdf190.43 kBAdobe PDFView/Open
08_chapter 3.pdf724.79 kBAdobe PDFView/Open
09_chapter 4.pdf265.58 kBAdobe PDFView/Open
10_chapter 5.pdf512.12 kBAdobe PDFView/Open
11_references.pdf77 kBAdobe PDFView/Open
12_vitae.pdf6.02 kBAdobe PDFView/Open


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