Details of Grant 

EPSRC Reference:	GR/S68170/01
Title:	Detecting and Preventing Criminal Activities on the Internet
Principal Investigator:	Parish, Professor D
Other Investigators:
Researcher Co-Investigators:
Project Partners:	CESG NTL Ltd S P S S
Department:	Electronic, Electrical & Systems Enginee
Organisation:	Loughborough University
Scheme:	Standard Research (Pre-FEC)
Starts:	01 April 2004	Ends:	31 March 2007	Value (£):	239,784
EPSRC Research Topic Classifications:	Networks & Distributed Systems
EPSRC Industrial Sector Classifications:	Communications
Related Grants:
Panel History:
Summary on Grant Application Form
This research aims to provide early detection and mitigation mechanisms for current and future criminal misuse of communication networks such as the Internet. The basic approach is to combine recent network measurement advances with modern, high performance data mining techniques to identify and classify unusual activity in the network. The key aspect here is the ability to correlate the presence of unusual activity in different parts of the network in order to identify the build-up or onset of serious criminal events such as denial-of-service attacks or network intrusion. This traffic may originate from both outside or inside the network. Suspect incoming traffic could then be dropped or marked to prevent the success of the intended attack. Suspect traffic originating from within the network could represent an attack (or part of an attack) and will be further processed in order to provide a means of tracing the perpetrators. The research will also investigate means of identifying the establishment phase of such activity (ie before the operational phase of an attack commences). The attack could then be prevented by blocking traffic from the associated machines, but, in addition, the law enforcement agencies will be notified and the perpetrators located. An important aspect of the work is its potential for hierarchical deployment on different scales ranoino from the localised protection of one hiah profile victim to wide-scale deployment offerino protection to manv targets from a varietv of threats.
Key Findings
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Further Information:
Organisation Website:	http://www.lboro.ac.uk