Immunology Inspired Detection of Data Theft from Autonomous Network Activity
The threat of data theft posed by self-propagating, remotely controlled bot malware is increasing. Cyber criminals are motivated to steal sensitive data, such as user names, passwords, account numbers, and credit card numbers, because these items can be parlayed into cash. For anonymity and economy...
Main Author: | Cochran, Theodore O. |
---|---|
Format: | Others |
Published: |
NSUWorks
2015
|
Subjects: | |
Online Access: | http://nsuworks.nova.edu/gscis_etd/42 http://nsuworks.nova.edu/cgi/viewcontent.cgi?article=1041&context=gscis_etd |
Similar Items
-
A Comprehensive Review on Malware Detection Approaches
by: Omer Aslan, et al.
Published: (2020-01-01) -
Towards Advanced Malware Classification: A Reused Code Analysis of Mirai Bonnet and Ransomware
Published: (2020) -
Botnet Defense System: Concept, Design, and Basic Strategy <sup>†</sup>
by: Shingo Yamaguchi
Published: (2020-11-01) -
BotDet: A System for Real Time Botnet Command and Control Traffic Detection
by: Ibrahim Ghafir, et al.
Published: (2018-01-01) -
Design and Analysis of Decoy Systems for Computer Security
by: Bowen, Brian M.
Published: (2011)