An Anatomy for Recognizing Network Attack Intention

dc.contributor.author	Anchit Bijalwan, Satenaw Sando, Muluneh Lemma
dc.date.accessioned	2020-09-18T08:22:25Z
dc.date.available	2020-09-18T08:22:25Z
dc.date.issued	201-01
dc.identifier.citation	International Journal of Recent Technology and Engineering (IJRTE	en_US
dc.identifier.issn	2277-3878
dc.identifier.uri	http://hdl.handle.net/123456789/1571
dc.description.abstract	Research in the field of Network forensics is tremendously expanding with the tendency to help in arbitrating, capturing and detaining the exponential growth of the cyber crimes. With this expansion, the field of Network forensics is still not clear and is uncertain. In this paper, we have presented the architecture of an analysis mechanism for network forensics. The work followed by generic process model for network forensics investigation is also presented and discussed in detail. Overall this paper presents an overview of the network forensics architecture, generic process models to help a user in the times of emergency by considering the incident and thus maintaining the privacy and security policies. Index	en_US
dc.language.iso	en	en_US
dc.publisher	ARBAMINCH UNIVERSITY	en_US
dc.subject	Index Terms: Network Forensics, Attack Intention, Traceback, Attribution, Incident response	en_US
dc.title	An Anatomy for Recognizing Network Attack Intention	en_US
dc.type	Article	en_US