Title :
Artificial Intelligence Based Model for Incident Response
Author :
Hasan, Raza ; Raghav, Akshyadeep ; Mahmood, Salman ; Hasan, M. Asim
Author_Institution :
Comput. Eng. Dept., S.S.U.E.T., Karachi, Pakistan
Abstract :
A computer crime is defined as a criminal act in which people commit the offence using the digital knowledge stored in the computer system. To investigate the computer based crime a new field of specialization - forensic computing has been developed, which is the process of computer investigation and analysis technique to gather evidence in a manner that is legally acceptable. Few systems are available for incident response like the Incident Response Support System (IRSS) and information and knowledge management system (COPLINK) used in crime investigations and knowledge based reasoning approach, they are usually focused on specific tasks. Model based reasoning automatically construct representations, Case-based reasoning (CBR) and ontology uses property of incident response to get the best match, they are built on Decision Support System (DSS). This paper suggests the potential use of artificial intelligence in digital crime investigation to help investigator in investigating a crime.
Keywords :
case-based reasoning; computer crime; computer forensics; decision support systems; information management; knowledge management; ontologies (artificial intelligence); COPLINK; Incident Response Support System; artificial intelligence based model; case-based reasoning; computer crime; computer investigation; computer system; criminal act; decision support system; digital crime investigation; digital knowledge; evidence gathering; forensic computing; incident response; information management; knowledge based reasoning; knowledge management system; model based reasoning; ontology; Cognition; Computers; Databases; Decision support systems; Educational institutions; Forensics; Artificial Intelligence; COPLINK; Clustering; Crime; Decision Support System; IRSS; Incident Response System;
Conference_Titel :
Information Management, Innovation Management and Industrial Engineering (ICIII), 2011 International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-61284-450-3
DOI :
10.1109/ICIII.2011.307