Open Access

ARTICLE

A Framework for Systematic Classification of Assets for Security Testing

Sadeeq Jan^1,*, Omer Bin Tauqeer¹, Fazal Qudus Khan², George Tsaramirsis², Awais Ahmad³, Iftikhar Ahmad⁴, Imran Maqsood⁵, Niamat Ullah⁶

1 National Center for Cyber Security, Department of CS & IT, University of Engineering & Technology, Peshawar, Pakistan
2 Department of Information Technology, FCIT, King Abdulaziz University, Jeddah, Saudi Arabia
3 Dipartimento di Informatica (DI), Università Degli Studi di Milano Statale, Via Celoria 18, Milano, Italy
4 Department of Computer Science & IT, University of Engineering & Technology, Peshawar, Pakistan
5 Department of Software Engineering, University of Engineering & Technology, Mardan, Pakistan 6 University of Buner, Buner, Pakistan

* Corresponding Author: Sadeeq Jan. Email:

Computers, Materials & Continua 2021, 66(1), 631-645. https://doi.org/10.32604/cmc.2020.012831

Received 14 July 2020; Accepted 07 August 2020; Issue published 30 October 2020

Abstract

Over the last decade, a significant increase has been observed in the use of web-based Information systems that process sensitive information, e.g., personal, financial, medical. With this increased use, the security of such systems became a crucial aspect to ensure safety, integrity and authenticity of the data. To achieve the objectives of data safety, security testing is performed. However, with growth and diversity of information systems, it is challenging to apply security testing for each and every system. Therefore, it is important to classify the assets based on their required level of security using an appropriate technique. In this paper, we propose an asset security classification technique to classify the System Under Test (SUT) based on various factors such as system exposure, data criticality and security requirements. We perform an extensive evaluation of our technique on a sample of 451 information systems. Further, we use security testing on a sample extracted from the resulting prioritized systems to investigate the presence of vulnerabilities. Our technique achieved promising results of successfully assigning security levels to various assets in the tested environments and also found several vulnerabilities in them.

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Citations