ABSTRACT:
User activity logs can be a valuable source of information in cloud
forensic investigations; hence, ensuring the reliability and integrity of such
logs is crucial. Most existing solutions for secure logging are designed for
conventional systems rather than the complexity of a cloud environment. In this
paper, we propose the Cloud Log Assuring Soundness and Secrecy (CLASS) process
as an alternative scheme for the securing of logs in a cloud environment. In
CLASS, logs are encrypted using the individual user’s public key so that only
the user is able to decrypt the content. In order to prevent unauthorized
modification of the log, we generate proof of past log (PPL) using Rabin’s
fingerprint and Bloom filter. Such an approach reduces verification time significantly.
Findings from our experiments deploying CLASS in OpenStack demonstrate the
utility of CLASS in a real-world context.
SYSTEM
REQUIREMENTS:
HARDWARE
REQUIREMENTS:
·
System :
Pentium Dual Core.
·
Hard Disk
: 120 GB.
·
Monitor :
15’’ LED
·
Input
Devices : Keyboard, Mouse
·
Ram : 1
GB
SOFTWARE
REQUIREMENTS:
·
Operating
system : Windows 7.
·
Coding
Language : JAVA/J2EE
·
Tool :
Netbeans 7.2.1
·
Database
: MYSQL
REFERENCE:
M A Manazir Ahsan, Ainuddin Wahid Bin Abdul Wahab,
Mohd Yamani Idna Bin Idris, Suleman Khan, Eric Bachura, Kim-Kwang Raymond
Choo, Senior Member, IEEE, “CLASS: Cloud Log Assuring Soundness and
Secrecy Scheme for Cloud Forensics”, IEEE Transactions on Sustainable
Computing, 2018.