The Future of Computer Forensics and What Industry Needs

 
When?
Wednesday 12 May 2010, 14:00 to 15:00
Where?
39BB02
Open to:
Staff, Students
Speaker:
Dr Godfried Williams
Refreshments:
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Original content:

Coffee and biscuits after the seminar

Our invited speaker is Dr Godfried Williams from the company Intellas UK, experts in Business Intelligence Security and Intelligent Forensics using AI techniques.

The exponential growth of data on the internet, in public databases and distributed mobility systems, requires continuous exploration and exploitation of both classical and non-classical techniques and methods in understanding complex data sets as well as making sense of meaningless data and looking into future services on the internet and hyper networks.

There will be discussions on techniques, developments and applications required for harnessing Artificial Intelligence and Forensic computing for electronic crime investigation, case analysis and homeland security. 

The presentation also intends to highlight current challenges faced by industry and how emerging systems are attempting to address them. These include but are not limited to the following:
How can Artificial Intelligence methods assist analysis and discovery of leads in building digital evidence?
How can Artificial Intelligence drive tools necessary for searching, locating and gathering Electronic data over a computer network for homeland security?
How can such methods be standardized?
What are the Legal implications and challenges for adopting these methods?
What are the exploitable outputs for the business community?

Date:
Wednesday 12 May 2010
Time:

14:00 to 15:00


Where?
39BB02
Open to:
Staff, Students
Speaker:
Dr Godfried Williams
Refreshments:
Error processing inline link Content is not allowed in prolog.

Original content:

Coffee and biscuits after the seminar

Page Owner: eih206
Page Created: Wednesday 5 May 2010 15:00:33 by eih206
Last Modified: Tuesday 17 January 2012 19:44:08 by sl0022
Expiry Date: Friday 5 August 2011 14:52:07
Assembly date: Tue Mar 26 17:54:13 GMT 2013
Content ID: 27384
Revision: 4
Community: 1028