✦ LIBER ✦

Intelligent feature selection and classification techniques for intrusion detection in networks: a survey

✍ Scribed by Ganapathy, Sannasi; Kulothungan, Kanagasabai; Muthurajkumar, Sannasy; Vijayalakshmi, Muthusamy; Yogesh, Palanichamy; Kannan, Arputharaj

Book ID: 121587929
Publisher: Hindawi Publishing Corporation
Year: 2013
Tongue: English
Weight: 762 KB
Volume: 2013
Category: Article
ISSN: 1687-1472
DOI: 10.1186/1687-1499-2013-271

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Reliable Knowledge Discovery || Reliabil

Reliable Knowledge Discovery || Reliability in A Feature-Selection Process for Intrusion Detection

✍ Dai, Honghua; Liu, James N. K.; Smirnov, Evgueni 📂 Article 📅 2012 🏛 Springer US ⚖ 987 KB

A multi-stage classification system for

A multi-stage classification system for detecting intrusions in computer networks

✍ Luigi Pietro Cordella; Carlo Sansone 📂 Article 📅 2006 🏛 Springer-Verlag 🌐 English ⚖ 343 KB

Novel Algorithms and Techniques in Telec

Novel Algorithms and Techniques in Telecommunications and Networking || Data Mining Based Network Intrusion Detection System: A Survey

✍ Sobh, Tarek; Elleithy, Khaled; Mahmood, Ausif 📂 Article 📅 2009 🏛 Springer Netherlands ⚖ 446 KB

Characteristics and classification of ou

Characteristics and classification of outlier detection techniques for wireless sensor networks in harsh environments: a survey

✍ Shahid, Nauman; Naqvi, Ijaz Haider; Qaisar, Saad Bin 📂 Article 📅 2012 🏛 Springer Netherlands 🌐 English ⚖ 821 KB

Evolutionary computation techniques for

Evolutionary computation techniques for intrusion detection in mobile ad hoc networks

✍ Sevil Sen; John A. Clark 📂 Article 📅 2011 🏛 Elsevier Science 🌐 English ⚖ 628 KB

[Studies in Computational Intelligence]

[Studies in Computational Intelligence] Classification and Clustering for Knowledge Discovery Volume 4 || Soft Computing Models for Network Intrusion Detection Systems

✍ K. Halgamuge, Saman; Wang, Lipo 📂 Article 📅 2005 🏛 Springer Berlin Heidelberg 🌐 German ⚖ 604 KB

Knowledge Discovery Today Is A Significant Study And Research Area. In Finding Answers To Many Research Questions In This Area, The Ultimate Hope Is That Knowledge Can Be Extracted From Various Forms Of Data Around Us. This Book Covers Recent Advances In Unsupervised And Supervised Data Analysis Met