Cloud Log Forensics

Author:

Khan Suleman1ORCID,Gani Abdullah1,Wahab Ainuddin Wahid Abdul1,Bagiwa Mustapha Aminu1,Shiraz Muhammad2,Khan Samee U.3,Buyya Rajkumar4,Zomaya Albert Y.5

Affiliation:

1. University of Malaya, Kuala Lumpur, Malaysia

2. Federal Urdu University, Islamabad, Pakistan

3. North Dakota State University, Fargo, USA

4. University of Melbourne, Australia

5. University of Sydney, NSW, Australia

Abstract

Cloud log forensics (CLF) mitigates the investigation process by identifying the malicious behavior of attackers through profound cloud log analysis. However, the accessibility attributes of cloud logs obstruct accomplishment of the goal to investigate cloud logs for various susceptibilities. Accessibility involves the issues of cloud log access, selection of proper cloud log file, cloud log data integrity, and trustworthiness of cloud logs. Therefore, forensic investigators of cloud log files are dependent on cloud service providers (CSPs) to get access of different cloud logs. Accessing cloud logs from outside the cloud without depending on the CSP is a challenging research area, whereas the increase in cloud attacks has increased the need for CLF to investigate the malicious activities of attackers. This paper reviews the state of the art of CLF and highlights different challenges and issues involved in investigating cloud log data. The logging mode, the importance of CLF, and cloud log-as-a-service are introduced. Moreover, case studies related to CLF are explained to highlight the practical implementation of cloud log investigation for analyzing malicious behaviors. The CLF security requirements, vulnerability points, and challenges are identified to tolerate different cloud log susceptibilities. We identify and introduce challenges and future directions to highlight open research areas of CLF for motivating investigators, academicians, and researchers to investigate them.

Funder

Bright Spark Unit

Malaysian Ministry of Higher Education under the University of Malaya

Australian Research Council

University of Malaya

Malaysia and a High Impact Research

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science,Theoretical Computer Science

Reference106 articles.

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