A EXPLORING CLOUD NETWORK FORENSICS: A COMPREHENSIVE SURVEY OF TOOLS AND TECHNIQUES ENHANCED WITH DEEP LEARNING MODELS

CLOUD NETWORK FORENSICS

Authors

  • B. MENAKA VENKATARAMANAN Full-Time Research Scholar in the Computer Science Department at Urumu Dhanalakshmi College, Trichy-19, India.
  • Arulselvarani S Head, Department of Computer Application, Assistant Professor and Research Supervisor in PG and Research Department of Computer Science at Urumu Dhanalakshmi College, Kattur, Tiruchirappalli, Tamil Nadu, India

DOI:

https://doi.org/10.59461/ijitra.v4i2.174

Keywords:

Cloud Network Forensics Deep Learning Security Incidents Threat Detection AI-driven Analysis

Abstract

A comprehensive investigation into cloud network forensics, providing an in-depth survey of tools and techniques while integrating advanced deep learning models for enhanced analysis. By examining various cloud environments, including public, private, and hybrid infrastructures, the study explores the challenges and opportunities in detecting, analyzing, and mitigating security incidents. This survey provides an overview of forensic tools and techniques used to investigate cyber incidents, focusing on the integration of deep learning models for enhanced threat detection and analysis. Through the utilization of deep learning methodologies, the research aims to enhance the efficiency and accuracy of forensic investigations, offering valuable insights into emerging trends and best practices for securing cloud-based systems. It highlights key challenges, including data privacy and real-time threat detection, while discussing future trends in AI-driven forensics.

Author Biographies

B. MENAKA VENKATARAMANAN, Full-Time Research Scholar in the Computer Science Department at Urumu Dhanalakshmi College, Trichy-19, India.

B. Menaka is currently a full-time Research Scholar in the Computer Science Department at Urumu Dhanalakshmi College, Trichy-19. With 15 years of extensive teaching experience at MIET Institution in Trichy (2006–2021), she has developed a strong foundation in education and research. She earned her B.C.A. and M.C.A. from Bharathidasan University and an M.Phil in Computer Science from Salem University. She published works include the journal article “Remote Database Controller” on Wireless (2012, ISBN No: 978-3-8473-7273-8) and “Short Message Services” in Data Communication Networks (2013, ISBN No: 978-3-659-34683-5). She has also authored a book on “Mobile Communications” (2021, ISBN NO: 978-93-93253-10-1), further expanding her contributions to the field. She can be contacted at email: menaka01.mphil@gmail.com.

Arulselvarani S, Head, Department of Computer Application, Assistant Professor and Research Supervisor in PG and Research Department of Computer Science at Urumu Dhanalakshmi College, Kattur, Tiruchirappalli, Tamil Nadu, India

Head, Department of Computer Application has completed her Doctorate degree in Mother Teresa Women’s University, Kodaikannal, Tamil Nadu,India(2014). Currently she is working as Assistant Professor and Research Supervisor in PG and Research Department of Computer Science at Urumu Dhanalakshmi College, Kattur, Tiruchirappalli. She has published many National and International Journals and presented papers in various conferences. She has published two books (Interactive Visual Basic and An Overview of DBMS). She has 23 years of teaching experience. She is a member in ISTE. Her area of interest includes E-Learning, Simulation, Data mining and Machine Learning, Software Engineering and DBMS.

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Published

2025-06-18

How to Cite

VENKATARAMANAN, B. M., & S, A. . (2025). A EXPLORING CLOUD NETWORK FORENSICS: A COMPREHENSIVE SURVEY OF TOOLS AND TECHNIQUES ENHANCED WITH DEEP LEARNING MODELS: CLOUD NETWORK FORENSICS. International Journal of Information Technology, Research and Applications, 4(2), 14–28. https://doi.org/10.59461/ijitra.v4i2.174

Issue

Vol. 4 No. 2 (2025): IJITRA

Section

Regular Issue

License

Copyright (c) 2025 B. MENAKA VENKATARAMANAN, Arulselvarani S

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.