A framework for designing cloud forensic‑enabled services (CFeS).

Simou, S., Kalloniatis, C., Gkritzalis, S. and Katos, V., 2018. A framework for designing cloud forensic‑enabled services (CFeS). Requirements Engineering. (In Press)

Full text available as:

[img]
Preview
PDF
2018-REEN-D-17-00054_R2-1 copy.pdf - Accepted Version
Available under License Creative Commons Attribution.

2MB

DOI: 10.1007/s00766-018-0289-y

Abstract

Cloud computing is used by consumers to access cloud services. Malicious actors exploit vulnerabilities of cloud services to attack consumers. The link between these two assumptions is the cloud service. Although cloud forensics assists in the direction of investigating and solving cloud-based cyber-crimes, in many cases the design and implementation of cloud services falls back. Software designers and engineers should focus their attention on the design and implementation of cloud services that can be investigated in a forensic sound manner. This paper presents a methodology that aims on assisting designers to design cloud forensic-enabled services. The methodology supports the design of cloud services by implementing a number of steps to make the services cloud forensic-enabled. It consists of a set of cloud forensic constraints, a modelling language expressed through a conceptual model and a process based on the concepts identified and presented in the model. The main advantage of the proposed methodology is the correlation of cloud services’ characteristics with the cloud investigation while providing software engineers the ability to design and implement cloud forensic-enabled services via the use of a set of predefined forensic related tasks

Item Type:Article
ISSN:0947-3602
Uncontrolled Keywords:Cloud Forensics; Cloud Forensic Methodology; Cloud Forensic Process; Cloud Forensic Conceptual Model; Cloud Forensic Constraints
Group:Faculty of Science & Technology
ID Code:30528
Deposited By: Unnamed user with email symplectic@symplectic
Deposited On:28 Mar 2018 15:43
Last Modified:28 Mar 2018 15:47

Downloads

Downloads per month over past year

More statistics for this item...
Repository Staff Only -