Impact of class distribution on the detection of slow HTTP DoS attacks using Big Data

Impact of class distribution on the detection of slow HTTP DoS attacks using Big Data

Abstract The integrity of modern network communications is constantly being challenged by more sophisticated intrusion techniques. Attackers are consistently shifting to stealthier and more complex forms of attacks in an attempt to bypass known mitigation strategies. In recent years, attackers have...

Full description

Bibliographic Details
Main Authors: Chad L. Calvert, Taghi M. Khoshgoftaar
Format: Article
Language:English
Published: SpringerOpen 2019-07-01
Series:Journal of Big Data
Subjects:
Class imbalance
Slow HTTP DoS
Big Data
Online Access:http://link.springer.com/article/10.1186/s40537-019-0230-3

Internet

http://link.springer.com/article/10.1186/s40537-019-0230-3

Similar Items