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  <titleInfo>
    <title>Big Data Analytics and Computing for Digital Forensic Investigations</title>
  </titleInfo>
  <name type="personal">
    <namePart>Satpathy, Suneeta</namePart>
    <role>
      <roleTerm type="text">editor.</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Mohanty, Sachi Nandan</namePart>
    <role>
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    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <genre authority="marc">bibliography</genre>
  <originInfo>
    <place>
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    <dateIssued encoding="marc">2020</dateIssued>
    <edition>First edition.</edition>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>pages cm</extent>
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  <abstract>"Digital Forensics has recently gained a notable development and become the most demanding area in today's information security requirement. The book investigates the areas of digital forensics, digital investigation, and data analysis procedures as they apply to computer fraud and cybercrime, with the main objective of describing a variety of digital crimes and retrieving potential digital evidence. Big Data Analytics and Computing for Digital Forensic Investigations gives a contemporary view on the problems of information security. It presents the idea that protective mechanisms and software must be integrated along with forensic capabilities into existing forensic software using big data computing tools and techniques"--</abstract>
  <note type="statement of responsibility">edited by Dr Suneeta Satpathy, CoEB, Biju Pattnaik University of Technology, Rourkela, Odisha, India, Dr Mohanty Sachi, IcfaiTech, ICFAI Foundation for Higher Education, Hyderabad, India.</note>
  <note>Includes bibliographical references and index.</note>
  <subject authority="lcsh">
    <topic>Computer crimes</topic>
    <topic>Investigation</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Digital forensic science</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Electronic discovery (Law)</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Big data</topic>
    <topic>Research</topic>
  </subject>
  <classification authority="lcc">HV8079.C65 B54 2020</classification>
  <classification authority="ddc" edition="23">363.25/968</classification>
  <identifier type="isbn">9780367456788</identifier>
  <identifier type="isbn" invalid="yes"/>
  <identifier type="lccn">2019054940</identifier>
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