An empirical evaluation of information metrics for low-rate and high-rate DDoS attack detection
Top Cited Papers
- 1 January 2015
- journal article
- Published by Elsevier BV in Pattern Recognition Letters
- Vol. 51, 1-7
- https://doi.org/10.1016/j.patrec.2014.07.019
Abstract
No abstract availableThis publication has 13 references indexed in Scilit:
- Network Anomaly Detection: Methods, Systems and ToolsIEEE Communications Surveys & Tutorials, 2013
- Detecting Distributed Denial of Service Attacks: Methods, Tools and Future DirectionsThe Computer Journal, 2013
- A Rank Correlation Based Detection against Distributed Reflection DoS AttacksIEEE Communications Letters, 2013
- FireCol: A Collaborative Protection Network for the Detection of Flooding DDoS AttacksIEEE/ACM Transactions on Networking, 2012
- Low-Rate DDoS Attacks Detection and Traceback by Using New Information MetricsIEEE Transactions on Information Forensics and Security, 2011
- Inferring Internet denial-of-service activityACM Transactions on Computer Systems, 2006
- D-WARD: A Source-End Defense against Flooding Denial-of-Service AttacksIEEE Transactions on Dependable and Secure Computing, 2005
- Detecting anomalies in network traffic using maximum entropy estimationPublished by Association for Computing Machinery (ACM) ,2005
- Transport-aware IP routers: A built-in protection mechanism to counter DDoS attacksIEEE Transactions on Parallel and Distributed Systems, 2003
- A Mathematical Theory of CommunicationBell System Technical Journal, 1948