An AI-Based Forensic Model for Online Social Networks

Title

An AI-Based Forensic Model for Online Social Networks

Creator

Pawar V.; Jose D.V.

Description

With the growth of social media usage, social media crimes are also creeping sprightly. Investigation of such crimes involves the thorough examination of data like user, activity, network, and content. Although investigating social media looks quite straight forward process, it is always challenging for the investigators due to the complex process involved in it. Due to the immense growth of social media content, manual processing of data for investigation is not possible. Most of the works from this area provide an automatic model or semi-automated, and much of the contributions lacks the logical reasoning and explainability of the evidence extracted. Searching techniques like entity-based search and explainable AI add value to the quick retrieval within appropriate scope and explain the results to the court of law. This paper provides a model by adding these new techniques to the basic forensic process. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Source

Lecture Notes in Networks and Systems, Vol-462, pp. 209-218.

Date

2022-01-01

Publisher

Springer Science and Business Media Deutschland GmbH

Subject

AI; Cybercrime; Forensics; Social media

Coverage

Pawar V., Department of Computer Applications, CMR Institute of Technology, Bengaluru, India, Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India; Jose D.V., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India

Rights

Restricted Access

Relation

ISSN: 23673370; ISBN: 978-981192210-7

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1007/978-981-19-2211-4_18

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135010778&doi=10.1007%2f978-981-19-2211-4_18&partnerID=40&md5=bd4ab2ff2ef08b883ca0ffbf52b8b4fa