{"title":"Scope of Managing Knowledge in Digital Forensics","authors":"Rakesh M. Verma, P. Bansal","doi":"10.2139/ssrn.3363040","DOIUrl":null,"url":null,"abstract":"Digital devices and services are becoming cheap and so availability has increased a lot. The extensive use of digital devices has made every individual to ride on rising wave of varied and stored digital information. Huge digital data is residing on standalone storage devices as well as on network and cloud based storage devices. All technologies are vulnerable to security. Risk has also increased because digital information is convenient to generate, economic to accumulate, and practically easy to reproduce. Rule-breakers are part of society and so they are also using the technology with the same pace for crime. Every crime now has necessarily digital dimension. Digital Forensics extracts evidence from digital sources to prove crime in court of law. Expert knowledge required in the all phase of forensic investigation and development of latest tools and benchmarking of tools. Use of existing and evolution of better frameworks and training of incumbents needs experience. Challenges are there in Digital Forensics due to continuous technological advancements, old training techniques, lack of standardization, varied frameworks and no formal mechanism to capture expert experiences. Knowledge Management has wide application in processes, training and formalization. Knowledge Management can be the solution for the issues in Digital Forensics. Knowledge Management techniques such as ontology, content management, knowledge maps, knowledge bases etc. can also be used in Digital Forensics. This paper throws light upon scope of knowledge management in Digital Forensics.","PeriodicalId":356570,"journal":{"name":"CompSciRN: Problem Solving (Topic)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"CompSciRN: Problem Solving (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3363040","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Digital devices and services are becoming cheap and so availability has increased a lot. The extensive use of digital devices has made every individual to ride on rising wave of varied and stored digital information. Huge digital data is residing on standalone storage devices as well as on network and cloud based storage devices. All technologies are vulnerable to security. Risk has also increased because digital information is convenient to generate, economic to accumulate, and practically easy to reproduce. Rule-breakers are part of society and so they are also using the technology with the same pace for crime. Every crime now has necessarily digital dimension. Digital Forensics extracts evidence from digital sources to prove crime in court of law. Expert knowledge required in the all phase of forensic investigation and development of latest tools and benchmarking of tools. Use of existing and evolution of better frameworks and training of incumbents needs experience. Challenges are there in Digital Forensics due to continuous technological advancements, old training techniques, lack of standardization, varied frameworks and no formal mechanism to capture expert experiences. Knowledge Management has wide application in processes, training and formalization. Knowledge Management can be the solution for the issues in Digital Forensics. Knowledge Management techniques such as ontology, content management, knowledge maps, knowledge bases etc. can also be used in Digital Forensics. This paper throws light upon scope of knowledge management in Digital Forensics.