CNN-Based Deep Learning Approach Over Image Data for Cyber Forensic Investigation

Author:

Awasthi Aishwary1,Das Priyanksha2,Gupta Rupal3,Varma Raj4,Sharma Shilpa4,Gupta Ankur5ORCID,Khan Huma6ORCID

Affiliation:

1. Sanskriti University, India

2. School of Sciences, Jain University (Deemed), India

3. College of Computing Sciences and I.T., Teerthanker Mahaveer University, Moradabad, India

4. Symbiosis Law School, Symbiosis International University (Deemed), India

5. Vaish College of Engineering, Rohtak, India

6. Rungta College of Engineering and Technology, Bhilai, India

Abstract

A deep learning approach is gaining popularity day by day in image data classification. The process of classification of graphical data considering training network is managed by conventional neural network. Such types of networks allow automatic classification by making use of CNN approach. But the issues that are faced during forensic investigation are slow in performance and lack accuracy. The major objective of work is to consider the CNN approach that is processing graphic data in order to perform cyber forensic investigation.

Publisher

IGI Global

Reference38 articles.

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