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035   $a(MiAaPQ)EBC6135200
035   $a(OCoLC)1145585213
035   $a(OCoLC-P)1145585213
035   $a(FlBoTFG)9781003024743
035   $a(EXLCZ)994100000010671525
100   $a20200321d2020      uy             0
101 0 $aeng
135   $aurcnu---unuuu
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 00$aBig Data Analytics and Computing for Digital Forensic Investigations$b[electronic resource]
210   $aMilton $cCRC Press LLC$d2020
215   $a1 online resource (235 pages) $cillustrations
300   $aDescription based upon print version of record.
311   $a0-367-45678-8 
330   $aDigital forensics has recently gained a notable development and become the most demanding area in today's information security requirement. This 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. Features Describes trends of digital forensics served for big data and the challenges of evidence acquisition Enables digital forensic investigators and law enforcement agencies to enhance their digital investigation capabilities with the application of data science analytics, algorithms and fusion technique This book isfocused on helpingprofessionals as well as researchers toget ready with next-generation security systems to mount the rising challenges of computer fraud and cybercrimes as well as with digital forensic investigations. Dr Suneeta Satpathy has more than ten years of teaching experience in different subjectsof theComputer Science and Engineering discipline. She is currently working as an associate professor in the Department of Computer Science and Engineering, College of Bhubaneswar, affiliatedwith Biju Patnaik University and Technology, Odisha. Her research interests include computer forensics, cybersecurity, data fusion, data mining, big data analysis and decision mining. Dr Sachi Nandan Mohanty is an associate professor in the Department of Computer Science and Engineering at ICFAI Tech, ICFAI Foundation for Higher Education, Hyderabad, India. His research interests include data mining, big data analysis, cognitive science, fuzzy decision-making, brain-computer interface, cognition and computational intelligence.
606   $aComputer crimes$xInvestigation
615  0$aComputer crimes$xInvestigation.
676   $a363.25968
701   $aSatpathy$b Suneeta$01489318
701   $aMohanty$b Sachi Nandan$01489319
801  0$bOCoLC-P
801  1$bOCoLC-P
906   $aBOOK
912   $a9910794188703321
996   $aBig Data Analytics and Computing for Digital Forensic Investigations$93709997
997   $aUNINA