FFSc: a novel measure for low-rate and high-rate DDoS attack detection using multivariate data analysis-Reference-Cited by-同舟云学术

FFSc: a novel measure for low-rate and high-rate DDoS attack detection using multivariate data analysis

Published:2016 Issue: Volume: Page:n/a-n/a
ISSN:1939-0114
Container-title:Security and Communication Networks
language:en
Short-container-title:Security Comm. Networks

Author:

Hoque Nazrul¹,Bhattacharyya Dhruba K.¹,Kalita Jugal K.²

Affiliation:

1. Department of Computer Science and Engineering; Tezpur University; Sonitpur Assam India

2. Department of Computer Science; University of Colorado; Colorado Springs CO U.S.A.

Publisher

Wiley

Subject

Computer Networks and Communications,Information Systems

Reference16 articles.

1. Network attacks: taxonomy, tools and systems;Hoque;Journal of Network and Computer Applications,2014

2. Botnet in ddos attacks: trends and challenges;Hoque;Communications Surveys & Tutorials, IEEE

3. Network Anomaly Detection

4. Shifting-and-scaling correlation based biclustering algorithm;Ahmed;IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB),2014

5. Feinstein L Schnackenberg D Balupari R Kindred D Statistical approaches to DDoS attack detection and response Proceedings of DARPA Information Survivability Conference and Exposition IEEE Washington, DC, USA 2003 303 314

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