SSCC 2013: Security in Computing and Communications pp 162-167 | Cite as
A Novel Approach for Monitoring SQL Anti-Forensic Attacks Using Pattern Matching for Digital Forensic Investigation
Abstract
Over the past few years the attacks on Software systems is increasing at an astonishing rate resulting in high revenue losses. Hence, Cyber/Digital forensics plays an important role by providing methods to acquire, asses, interpret, and use digital evidence to fetch conclusive details of cyber crime behavior. Recent trend in cyber crimes is the use of Anti-Forensic attacks to thwart the process of digital investigation by tampering the evidences.
The said system focuses on monitoring the Anti-Forensic attacks in the process of Digital Forensic Investigation. The system first identifies the different Anti-forensic attacks (Deletion /Modification /Hiding /Addition of evidences) by using a pattern matching algorithm, Finally the system effectively generates the reports and suggestions in accordance with the attacks. This system will prove helpful to the digital forensic investigators as well as other Government organizations in collecting post crime evidences and trace the identities of the attackers.
Keywords
Digital Forensics Anti-Forensic attacks Pattern MatchingPreview
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