Prospective Research Fields and Difficulties in Digital Forensic Evidence Analysis

Authors

  • Saroj Prajapat Student, Department of Computer Science & Engineering, Mody University of Science & Technology, Laxmangarh, Rajasthan, India
  • Nupur Lodha Student, Department of Computer Science & Engineering, Mody University of Science & Technology, Laxmangarh, Rajasthan, India
  • Daisy Vyas Student, Department of Computer Science & Engineering, Mody University of Science & Technology, Laxmangarh, Rajasthan, India
  • Sanjeev Patwa Associate Professor, Department of Computer Science & Engineering, Mody University of Science & Technology, Laxmangarh, Rajasthan, India

Keywords:

Digital Evidence Backlog, Digital Forensic Challenges, Future Research Topics

Abstract

As technology becomes increasingly prevalent in modern life, digital gadgets are more likely to be relevant to a criminal investigation or civil case. Law enforcement organisations around the world are currently dealing with enormous backlogs of digital evidence due to the sheer volume of investigations requiring digital forensic expertise. Anticipated future trends suggest a significant rise in the volume of incidents necessitating digital forensic analysis. A growing variety of devices, such as PCs, smartphones, tablets, cloud-based services, Internet of Things gadgets, wearable technology, etc., will probably need to be analysed for each case.The diversity of new digital evidence sources presents the digital investigator with novel and difficult identification, acquisition, storage, and analysis issues. The technical issues causing the backlog in digital forensics are examined in this study, along with a number of potential future research areas that could considerably improve the effectiveness of the digital forensic process.

References

Quick D, Choo KK. Impacts of increasing volume of digital forensic data: A survey and future research challenges. DigitInvestig. 2014 Dec 1;11(4):273–94.

Garda Síochána Inspectorate. Changing Policing in Ireland.2015 Nov.

Raghavan S. Digital forensic research: current state of the art. CSI Trans ICT. 2013 Mar;1(1):

–114.

Scanlon M, Kechadi T. Digital evidence bag selection for P2P network investigation. InFuture Information Technology: FutureTech 2013. Berlin Heidelberg: Springer; 2014; 307–314.

Scanlon M, Farina J, Kechadi MT. Network investigation methodology forBitTorrent Sync: A peer-to-peer based file synchronisation service. Computers& Security. Oct 2015; 54: 27–43.

Ruan K, Carthy J, Kechadi T, Baggili I. Cloud forensics definitions and critical criteria for cloud forensic capability: An overview of survey results. DigitInvestig. 2013 Jun 1;10(1):34–43.

Chen L, Xu L, Yuan X, Shashidhar N. Digital forensics in social networks and the cloud: Process, approaches, methods, tools, and challenges. In2015 IEEE International Conference on Computing, Networking and Communications (ICNC). 2015 Feb 16; 1132–1136.

Chen G, Du Y, Qin P, Du J. Suggestions to digital forensics in Cloud computing ERA. In2012 3rd IEEE International Conference on Network Infrastructure and Digital Content. 2012 Sep 21;

–544.

Marziale L, Richard III GG, Roussev V. Massive threading: Using GPUs to increase the performance of digital forensics tools. DigitInvestig. 2007 Sep 1;4:73–81.

Zhong Z, Rychkov V, Lastovetsky A. Data partitioning on heterogeneous multicore and multi-GPU systems using functional performance models of data-parallel applications. In2012 IEEE international conference on cluster computing. 2012 Sep 24; 191–199.

Downloads

Published

2024-02-09