Agenda (Only Headings)

1)   Introduction 

2)   Research Objectives

3)   Summary of the previous work

4)   Current work

5)   Results & Discussion

6)   Research contributions

7)   Conclusion

8)   Summary of the research

Agenda Details

1)   Introduction

2)   Research Objectives

3)   Summary of the previous work

a)   Progress Seminar 1 Feb 2019

b)   Progress Seminar 2 July 2019

c) Progress Seminar 3 Jan 2020

d)   Progress Seminar 4 July 2020

e) Progress Seminar 5 Dec-2020

4)   Current work

a)   Proposed Model

i)    Scope of the Proposed Model

ii)   Hypervisor Monitoring Module

iii)  AI Agent

iv)  Evidence Acquisition & Provenance Module

5)   Results & Discussion

a)   Contribution of the new feature set

b)   Preprocessing of the data

c)   Feature Selection

d)   Performance of evidence classification

e)   Evidence provenance efficiency

6)   Research contributions

a)   Monitoring Datasets for Cloud forensics. (Objective 1)

b)   Novel Feature set for cloud forensics. (Objective 1)

c) AI Agent for evidence detection. (Objective 2)

d)   Agent assisted evidence acquisition module (Objective 2)

e) Blockchain based evidence preservation module addressing the trust issue. (Objective3)

f) A Generic framework that can be trained for specific activity detection in cloud environment at hypervisor level.

7)   Summary of the research

a)   To identify quantifiable potential evidences in a cloud environment

i) Prasad Purnaye, Vrushali Kulkarni, November 21, 2020, "OpenNebula Virtual Machine Profiling for Intrusion Detection System", IEEE Dataport, doi: https://dx.doi.org/10.21227/24mb-vt61.

ii) Paper Published Prasad Purnaye, Vrushali Kulkarni “Memory Forensics in a Cloud Environment”, Journal of Engineering Sciences, Vol-11, Issue-7, July/2020. UGC CARE APPROVED GROUP 'II' MULTIDISCIPLINARY JOURNAL

iii)  Paper titled “A Comprehensive study of cloud forensics” Communicated to Springer journal, ”Archives of Computational Methods in Engineering” on 26th Aug 2020. [SCIE journal]

b)   Semi-automated triage-based collection of the identified potential evidences in a cloud environment

i) Dataset Published - Prasad Purnaye, Vrushali Kulkarni, December 15, 2020, "Memory Dumps of Virtual Machines for Cloud Forensics", IEEE Dataport, doi: https://dx.doi.org/10.21227/ft6c-2915. 

ii) Submitted Manuscript (Dec 2020) BiSHM: Evidence Detection & Preservation Model for Cloud Forensics to International Journal of Applied Pattern Recognition [ESCI, UGC]

iii)  Paper Titled “A novel dataset for cloud forensics”  is communicated to Springer Conference International Conference On Communications and Cyber-Physical Engineering [SCOPUS]

c) To apply the proposed framework for Cloud Forensics adhering to trust issues.

i) Submitted Manuscript (Dec 2020) BiSHM: Evidence Detection & Preservation Model for Cloud Forensics to International Journal of Applied Pattern Recognition [ESCI, UGC]