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WEBI
2009
Springer

Data Mining for Malicious Code Detection and Security Applications

10 years 6 months ago
Data Mining for Malicious Code Detection and Security Applications
: Data mining is the process of posing queries and extracting patterns, often previously unknown from large quantities of data using pattern matching or other reasoning techniques. Data mining has many applications in security including for national security as well as for cyber security. The threats to national security include attacking buildings, destroying critical infrastructures such as power grids and telecommunication systems. Data mining techniques are being investigated to find out who the suspicious people are and who is capable of carrying out terrorist activities. Cyber security is involved with protecting the computer and network systems against corruption due to Trojan horses, worms and viruses. Data mining also provide solutions in intrusion detection, auditing, credit card fraud detection and biometrics related applications. Other applications include data mining for malicious code detection such as worm detection and managing firewall policies. The challenge is to red...
Bhavani M. Thuraisingham
Added 25 May 2010
Updated 25 May 2010
Type Conference
Year 2009
Where WEBI
Authors Bhavani M. Thuraisingham
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