Traffic Anomaly Detection

This book presents an overview of traffic anomaly detection analysis, allowing you to monitor security aspects of multimedia services. The author's approach is based on the analysis of time aggregation adjacent periods of the traffic. As traffic varies throughout the day, it is essential to consider the concrete traffic period in which the anomaly occurs. This book presents the algorithms proposed specifically for this analysis and an empirical comparative analysis of those methods and settle a new information theory based technique, named "typical day analysis". A new information-theory based technique for traffic anomaly detection (typical day analysis) Introductory chapters to anomaly detection methods including control charts, tests of goodness-of-fit Mutual Information Contains comparative analysis of traffic anomaly detection methods

Produk Detail:

  • Author : Antonio Cuadra-Sánchez
  • Publisher : Elsevier
  • Pages : 70 pages
  • ISBN : 0081008074
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKTraffic Anomaly Detection

Traffic Anomaly Detection

Traffic Anomaly Detection
  • Author : Antonio Cuadra-Sánchez,Javier Aracil
  • Publisher : Elsevier
  • Release : 31 October 2015
GET THIS BOOKTraffic Anomaly Detection

This book presents an overview of traffic anomaly detection analysis, allowing you to monitor security aspects of multimedia services. The author's approach is based on the analysis of time aggregation adjacent periods of the traffic. As traffic varies throughout the day, it is essential to consider the concrete traffic period in which the anomaly occurs. This book presents the algorithms proposed specifically for this analysis and an empirical comparative analysis of those methods and settle a new information theory based

Network Traffic Anomaly Detection and Prevention

Network Traffic Anomaly Detection and Prevention
  • Author : Monowar H. Bhuyan,Dhruba K. Bhattacharyya,Jugal K. Kalita
  • Publisher : Springer
  • Release : 03 September 2017
GET THIS BOOKNetwork Traffic Anomaly Detection and Prevention

This indispensable text/reference presents a comprehensive overview on the detection and prevention of anomalies in computer network traffic, from coverage of the fundamental theoretical concepts to in-depth analysis of systems and methods. Readers will benefit from invaluable practical guidance on how to design an intrusion detection technique and incorporate it into a system, as well as on how to analyze and correlate alerts without prior information. Topics and features: introduces the essentials of traffic management in high speed networks,

Network Traffic Anomaly Detection and Prevention

Network Traffic Anomaly Detection and Prevention
  • Author : Monowar H. Bhuyan,Dhruba K. Bhattacharyya,Jugal K. Kalita
  • Publisher : Springer
  • Release : 19 September 2017
GET THIS BOOKNetwork Traffic Anomaly Detection and Prevention

This indispensable text/reference presents a comprehensive overview on the detection and prevention of anomalies in computer network traffic, from coverage of the fundamental theoretical concepts to in-depth analysis of systems and methods. Readers will benefit from invaluable practical guidance on how to design an intrusion detection technique and incorporate it into a system, as well as on how to analyze and correlate alerts without prior information. Topics and features: introduces the essentials of traffic management in high speed networks,

Network Traffic Anomaly Detection Using Modified Hidden Markov Model

Network Traffic Anomaly Detection Using Modified Hidden Markov Model
  • Author : Anonim
  • Publisher : Unknown Publisher
  • Release : 19 October 2021
GET THIS BOOKNetwork Traffic Anomaly Detection Using Modified Hidden Markov Model

With the growing number of attacks and malicious threats on the Internet services and network infrastructures, the need for techniques to identity and detect attacks is increasing. Therefore, using machine learning techniques along traditional security mechanisms such as firewall and cryptography, can improve the performance of intrusion detection systems (IDSs). Network anomaly detection has become a very important area for both industrial application and academic research in the recent years. It is involved widely in a broad spectrum of domains

Recent Advances in Intrusion Detection

Recent Advances in Intrusion Detection
  • Author : Robin Sommer,Davide Balzarotti,Gregor Maier
  • Publisher : Springer
  • Release : 11 February 2012
GET THIS BOOKRecent Advances in Intrusion Detection

This book constitutes the proceedings of the 14th International Symposium on Recent Advances in Intrusion Detection, RAID 2011, held in Menlo Park, CA, USA in September 2011. The 20 papers presented were carefully reviewed and selected from 87 submissions. The papers are organized in topical sections on application security; malware; anomaly detection; Web security and social networks; and sandboxing and embedded environments.

Network Anomaly Detection

Network Anomaly Detection
  • Author : Dhruba Kumar Bhattacharyya,Jugal Kumar Kalita
  • Publisher : CRC Press
  • Release : 18 June 2013
GET THIS BOOKNetwork Anomaly Detection

With the rapid rise in the ubiquity and sophistication of Internet technology and the accompanying growth in the number of network attacks, network intrusion detection has become increasingly important. Anomaly-based network intrusion detection refers to finding exceptional or nonconforming patterns in network traffic data compared to normal behavior. Finding these anomalies has extensive applications in areas such as cyber security, credit card and insurance fraud detection, and military surveillance for enemy activities. Network Anomaly Detection: A Machine Learning Perspective presents