NDLI: A granular approach for user-centric network analysis to identify digital evidence

Content Provider	Springer Nature Link
Author	Yasin, Muhammad Qureshi, Junaid Ahmad Kausar, Firdous Kim, Jongsung Seo, Jungtaek
Copyright Year	2014
Abstract	Recently, a tremendous advancement has been made in the field of network and communication. A usage of pervasive applications for machine-to-machine communication is increasing day by day. Digital forensic examiners are facing different type of problems. The most prominent problems among the research community are data overload, data modeling, data characterization and data presentation. This paper addresses these issues by analyzing a dataset of instant messages (IMs) over the period of 2 years and 4-months. Various patterns of interaction between target user and his/her buddies are analyzed through Social Network Analysis (SNA). The strength of relationship e.g. close, fair, temporary, etc. between each pair of users is determined by analyzing their social interaction ratio with respect to the chat frequency of overall network. The characterization of IMs is to identify the interaction between various actors from Social Network of Instant Messages (SNIM) and the prominence of certain actor within social network. Graphs and matrices are used to model and characterize the SNIM and suitable techniques are identified for computational analysis of SNIM. Centrality measures such as degree centrality, betweenness centrality and closeness centrality are taken to determine the connection of each actor with its neighbors and its influence within SNIM. ‘Vizster’ and ‘Prefuse’ are used for graphical representations and to analyze SNIM forensically. The effectiveness of ‘snowball method’ for forensic analysis of dataset graphically is also discussed. In the end the maximum number of immediate ties at step 1 of each vertex are considered to determine the most influential and significant vertices from the SNIM. Various relationship levels are defined on the basis of examiner-defined threshold to conclude the required results.
Starting Page	911
Ending Page	924
Page Count	14
File Format	PDF
ISSN	19366442
Journal	Peer-to-Peer Networking and Applications
Volume Number	8
Issue Number	5
e-ISSN	19366450
Language	English
Publisher	Springer US
Publisher Date	2014-02-18
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Network analysis Social network analysis Digital evidence Instant messages Digital forensic Communications Engineering, Networks Information Systems and Communication Service Computer Communication Networks Signal, Image and Speech Processing
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Software

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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