Research Area: Digital Forensics
Identification of data which is stored in the cloud is complicated than what we expect and collection of evidence which is robust, tamper-proof and stands in the court of law is one of the most challenging aspects of the whole procedure. The data for which the whole process is being executed can be reserved on the data-centers, can be placed anywhere across the globe. Feasibility of accessing the data on the physical drive is much less when we see the scenario of cloud storage and processing. Case studies, guidelines and advisories till date majorly describes those traditional processes i.e maintaining chain of custody, search and seizure, etc. But the principle concern are gathering the data, integrity and reliability of the data that is to be analyzed after seizure and Formation of essential requirements like, Cloud Infrastructure, instances, services to run upon and most important—Client, for testing the procedure. Infrastructure to be used, compatibility issues, guidelines and advisories have been finalized to achieve the primary aspects that is: Assess the nobility and dependability of the extracted information that is not compromised, tampered.
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Author(s) Name: Pranjal Srivastava & Arjun Choudhary
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Conferrence name: Proceedings of International Conference on Big Data, Machine Learning and their Applications
Publisher name: Springer
DOI: 10.1007/978-981-15-8377-3_20
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