Title :
Live Data Mining Concerning Social Networking Forensics Based on a Facebook Session Through Aggregation of Social Data
Author :
Chu, Hai-Cheng ; Deng, Der-Jiunn ; Park, Jong Hyuk
Author_Institution :
Dept. of Int. Bus., Nat. Taichung Univ. of Educ., Taichung, Taiwan
fDate :
8/1/2011 12:00:00 AM
Abstract :
Social Networking Service (SNS) emerges to be one of the most promising directions of web applications regarding the next generation of Internet technology evolutions. Substantively, innumerable global on-line community members share common interests with each other via the User Generated Content (UGC) platforms. Facebook is one of them and it facilitates the social networking participants to deliver the digital contents to authorized consumers or specific groups. As cybercrimes mushroom in recent years, more and more digital crime investigations have strong relations to Facebook. Unarguably, Facebook has been exploited via global perpetrators. Consequently, we spotlight on live data acquisition within the RAM of the desktop PC with emphasis on some distinct strings that could be found in order to reconstruct the previous Facebook session, which plays an extremely precious role for the associate digital forensics investigators to incubate additional thoughtful decisions concerning the discovery of breadcrumb digital evidences in this unparalleled cybercrime incidents era.
Keywords :
Internet; computer forensics; data acquisition; data mining; social networking (online); Facebook session; Internet technology evolutions; Web applications; associate digital forensics investigators; breadcrumb digital evidences; cybercrimes mushroom; desktop PC; digital contents; global online community members; global perpetrators; live data acquisition; live data mining; social data aggregation; social networking forensics; unparalleled cybercrime incidents era; user generated content platforms; Computer crime; Data acquisition; Data mining; Facebook; Forensics; Random access memory; Digital Evidence; Digital Forensics; Instant Message; Social Networking Service; User Generated Content; Volatile Memory Forensics;
Journal_Title :
Selected Areas in Communications, IEEE Journal on
DOI :
10.1109/JSAC.2011.110804