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Digital Forensic Science in Indian Ecommerce

TitleDigital Forensic Science in Indian Ecommerce
Publication TypeJournal Article
Year of Publication2020
AuthorsPadmalatha, N. A.
JournalPsychology and Education Journal
Volume57
Pagination2985-2995
KeywordsManagement Studies, Scopus
Abstract

In today’s environment crimes are becoming more digitised and more sophisticated. This sophistication of crime leads not only users but also companies to losesome important data. Protecting the data and users requires a strong forensic techniques and knowledge of the investigation process. In Indian scenarios, frauds are predominant in domains such as financial services and real estate and infrastructure. Even though there is a rise in cybercrime activities, most of the times forensic investigation tools were not used. One of the main reasons for the same is the business criticality of the application. Because of which, the system can neither be slowed down norshut down. This leads to further increase in cyber-attacksto the storage, network and applications of business systems. As per research conducted by previous researchers, India has the internet user baseof 450 million. Approximately 15% of the users haveadigital experienceof more than three years. This makes fraud detection in Indian ecommerce industry all the more relevant. The researchis not intended to provide a complete viewof all factors to be considered for forensic toolselection. But it has taken some areas which seems to be important for the choice of the tools. The present study makesa comparison of theselect toolsbased onplatform, capability, reporting, and tool support. Among the forensic toolsavailable in the market,the researcher indicates that CAINE and SIFT can be considered important. CAINE forensic platform provides all the forensic tools that are required in the investigation process like preservation, collection, examination and analysis. SIFT provides tools for in-depthinvestigations for filesystems, memory and network investigations. ts that antecedents of HR capability (behaviour), motivation (job satisfaction) and opportunity (cross-functional dynamics) affects the HR analytics competency in terms of understanding of data and both analytical and interpretation skill. Our study emphasizes on establishment of the capability, opportunity and motivation-based HR practices to improve the competency of HR professionals.

URLhttp://www.psychologyandeducation.net/pae/index.php/pae/article/view/889