Rule-Based Approach For Detecting Advanced Persistent Threat Using Behavioral Features Of Credential Dumping Technique

Publication:
Rule-Based Approach For Detecting Advanced Persistent Threat Using Behavioral Features Of Credential Dumping Technique

dc.contributor.author	Ali Mohamed, Nachaat Abdelatif
dc.date.accessioned	2023-08-24T07:13:34Z
dc.date.available	2023-08-24T07:13:34Z
dc.date.issued	2022-04
dc.description.abstract	The shift from the manual approach of processing data to the digitized method has made organizational data prone to various attacks by cybercriminals. Advanced Persistent Threat (APT) is a recent threat that has ravaged many industries and governments. APT causes enormous damages for data loss, espionage, sabotage, leak, or forceful pay of ransom money to the attackers. Current security measures of addressing APT attack involve detecting the attacks long after it has happened and failed to provide proactive responses. The current security solutions are deployed to detect APT signature and behaviour after APT bypasses the entire protections and accomplishes lateral movement technique, which makes the current solutions ineffective to resolve APT problem.
dc.identifier.uri	https://erepo.usm.my/handle/123456789/17410
dc.subject	Rule-Based Approach For Detecting Advanced Persistent Threat
dc.subject	Using Behavioral Features Of Credential Dumping Technique
dc.title	Rule-Based Approach For Detecting Advanced Persistent Threat Using Behavioral Features Of Credential Dumping Technique
dc.type	Resource Types::text::thesis::doctoral thesis
dspace.entity.type	Publication
oairecerif.author.affiliation	Universiti Sains Malaysia

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