Anomaly Detection in Network Traffic; A Statistical Approach | Flood and Flash Crowd Anomaly in Network Traffic

Anup Bhange (u. a.)

ISBN 10: 3659297631 / ISBN 13: 9783659297632

Published by LAP Lambert Academic Publishing, 2012

About this Item

Anomaly Detection in Network Traffic; A Statistical Approach | Flood and Flash Crowd Anomaly in Network Traffic | Anup Bhange (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2012 | LAP Lambert Academic Publishing | EAN 9783659297632 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu.

Seller Inventory # 106177259

Bibliographic Details

• Title: Anomaly Detection in Network Traffic; A Statistical Approach | Flood and Flash Crowd Anomaly in Network Traffic
• Publisher: LAP Lambert Academic Publishing
• Publication Date: 2012
• Language: English
• ISBN 10: 3659297631
• ISBN 13: 9783659297632
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 6D millimeters 220 millimeters width by 150 millimeters height by 6 millimeters depth
• Weight: 145 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

A worldwide Internet usage growth rate of 380% larger than the period from 2000, the year of the dot-com bubble burst, until present indicates that Internet technology has become a foundation of our daily life. In the same period, cyber-crime has seen an incredible that makes sophisticated protection device for computers and networks an absolute necessity. Firewalls as the major defense of the last decade do not give sufficient protection anymore. This fact has given rise to the expansion of intrusion detection and prevention systems. Traditional intrusion detection systems are hasty in the sense that they use a set of signatures, which raise at the same rate as new technique are discovered, to identify malicious traffic patterns. Anomaly detection systems are another branch of intrusion detection systems that act more proactively. They get a model of the normal system performance and issue alerts whenever the behavior changes; making an appropriate assumption that such changes are frequently caused by malicious or disruptive events. Anomaly detection has been a ground of exhaustive research over the last years as it poses several challenging problems.

About the Author

Anup Bhange Received M.tech Degree in CSE and He is Currently Working as an Asst.Prof in Dept. of IT in KDK College of Engineering, Nagpur Maharashtra India.This Book is Dedicated to my parents, brother and Kartik and special one Manmeet.