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              <text>Evidence Acquisition in Social Media for Cyber Crime</text>
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              <text>Cyber Crime; Digital Forensics; Evidence; Evidence Extraction; Social media</text>
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              <text>Social Media forensics a branch of forensics involves in collecting the evidences for the cyber crime. Investigating social media is a complex process which involves the privacy issues for accessing the users, suspects and victims information on social media. Manual processing of social media data is not feasible as it contains large volumes of data. An automated process is needed to incident specification, evidence extraction and for provenance. The need for handling heterogeneity of data as users have accounts with multiple social websites is also explained. This study briefs the existing models and the challenges faced in analyzing with those models. The research goals in this field are also addressed. A pool of tools which can contribute in guarding the solution for cyber crime is also presented.   2022 IEEE.</text>
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              <text>Pawar V.; Jose D.V.</text>
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              <text>2022 4th International Conference on Cognitive Computing and Information Processing, CCIP 2022</text>
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              <text>Institute of Electrical and Electronics Engineers Inc.</text>
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              <text>&lt;a href="https://doi.org/10.1109/CCIP57447.2022.10058653" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/CCIP57447.2022.10058653&lt;/a&gt;
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              <text>Restricted Access</text>
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              <text>ISBN: 978-166545648-7</text>
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              <text>English</text>
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              <text>Pawar V., CMR Institute of Technology, Department of Computer Applications, Bengaluru, India, CHRIST (Deemed to Be University), Department of Computer Science, Bangalore, India; Jose D.V., CHRIST (Deemed to Be University), Department of Computer Science, Bangalore, India</text>
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