Layered Botnet Detection Framework Based On Signal Processing And Discrete Time Analysis
A massive volume of online financial transactions and sensitive information is exchanged over the Internet. This has shifted the focus of cyber attackers from curiosity to financial gain. Attackers use different malware to achieve their goals. Among the various forms of malware; the botnet is...
Saved in:
Main Author: | Melhim, Loai Kayed Hassan Bani |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2012
|
Subjects: | |
Online Access: | http://eprints.usm.my/45258/1/Loai%20Kayed%20Hassan%20Bani%20Melhim24.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Rule-Based Approach For Detecting Botnet Based On Domain Name System
by: Alieyan, Kamal Ibrahim Ahmed
Published: (2018) -
Quality Of Service Enabled Cross-Layer Multicast Framework For Mobile Ad Hoc Networks.
by: Mohammed Saghir, Mohammed
Published: (2008) -
Integrated Framework For Secure Distributed Management Of
Duplicated Ipv6 Address Detection
by: Ul Rehman, Shafiq
Published: (2017) -
An optimized framework for header suppression of real time IPV6 traffic in multiprotocol label switching (MPLS) networks.
by: Mohammed, Imad Jasim
Published: (2011) -
ICMPv6 Echo Request Ddos Attack Detection Framework Using Backpropagation Neural Network
by: Mohammed Ahmed Saad, Redhwan
Published: (2016)