Mobile Botnet Detection Using Network Forensics-Reference-Cited by-同舟云学术

Mobile Botnet Detection Using Network Forensics

Published:2010 Issue: Volume: Page:57-67
ISSN:0302-9743
Container-title:Future Internet - FIS 2010
language:
Short-container-title:

Author:

Vural Ickin,Venter Hein

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-15877-3_7

Reference25 articles.

1. Internet Service Providers’ Association, ‘What is Spam?’ (2008), http://www.ispa.org.za/spam/whatisspam.shtml (April 2009)

2. More malware – adware, spyware, spam and spim, High tech crime brief, Australian institute of criminology (2006)

3. Security Vision from McFee Avert Labs, The Future of Security (2007)

4. McFee (2010), http://vil.mcafeesecurity.com/vil/content/v_138726.htm

5. Cooke, E., Jahanian, F., McPherson, D.: The advanced computing systems association. The Zombie Roundup: Understanding, Detecting, and Disrupting Botnets (2005), http://www.usenix.org/events/sruti05/tech/full_papers/cooke/cooke_html/ (April 2009)

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1. Integrating the edge computing paradigm into the development of IoT forensic methodologies;International Journal of Information Security;2023-11-22

2. Mobile botnet detection: a comprehensive survey;International Journal of Information Security;2022-11-15

3. Gleer: A Novel Gini-Based Energy Balancing Scheme for Mobile Botnet Retopology;Wireless Communications and Mobile Computing;2018

4. Botnet Forensics;Computer Communications and Networks;2016

5. Network Forensics;Computer Communications and Networks;2016