posted on 2023-07-26, 13:37authored byMark Graham, Adrian Winckles, Andrew Moore
For both enterprises and service providers, the exponential growth of cloud and virtual infrastructures brings vast performance and financial benefits but this growth has undoubtedly introduced unforeseen problems in terms of new opportunities for malware and cybercrime to flourish. Botnets could be created entirely within the cloud using virtual resources, for a myriad of purposes including DDoS-as-a-Service.
This study has sought to determine whether distributed packet capture utilising mirroring technology or some form of sampling mechanism provides better performance for detecting cybercrime style activities within virtual environments. Recommendations are for a distributed monitoring technique which can provide end-to-end monitoring capabilities while minimising the performance impact on popular adoptions of cloud or virtual infrastructures. Investigations have concentrated on distributed monitoring techniques utilising virtual network switches, looking for a proof of concept demonstrator where sample Command & Control and Peer-to-Peer botnet activities can be detected utilising flow capture technologies such as NetFlow, sFlow or IPFIX.
This paper demonstrates how by inserting a monitoring function into a virtual or cloud architecture the capture and analysis of traffic parameters using NetFlow can be used to identify the presence of an HTTP-based Command & Control botnet.
History
Publisher
Canterbury Christ Church University
Place of publication
Canterbury, UK
ISBN
97801909067158
Conference proceeding
CFET 2014 - 7th International Conference on Cybercrime Forensics Education & Training: Conference Programme & Abstracts
Name of event
7th International Conference on Cybercrime Forensics Education and Training (CFET 2014)
Location
Canterbury, UK
Event start date
2014-07-10
Event finish date
2014-07-11
File version
Published version
Language
eng
Legacy posted date
2015-06-22
Legacy creation date
2019-05-22
Legacy Faculty/School/Department
ARCHIVED Faculty of Science & Technology (until September 2018)