Cognitive Analysis of Intrusion Detection System

Butt, Saad Masood, and Reaiche, Carmen (2022) Cognitive Analysis of Intrusion Detection System. Siberian Federal University Journal Engineering & Technologies, 15 (1). pp. 102-120.

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View at Publisher Website: https://doi.org/10.17516/1999-494X-0377
 
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Abstract

Usability evaluation methods have gained a substantial attention in networks particularly in Intrusion Detection System (IDS) as these evaluation methods are envisioned to achieve usability and define usability defects for a large number of practical software’s. Despite a good number of available survey and methods on usability evaluation, we feel that there is a gap in existing literature in terms of usability evaluation methods, IDS interfaces and following usability guidelines in IDS development. This paper reviews the state of the art for improving usability of networks that illustrates the issues and challenges in the context of design matters. Further, we propose the taxonomy of key issues in evaluation methods and usability problems. We also define design heuristics for IDS users and interfaces that improves detection of usability defects and interface usability compared to conventional evaluation heuristics. The similarities and differences of usability evaluation methods and usability problems are summarized on the basis of usability factors, current evaluation methods and interfaces loopholes.

Item ID: 77910
Item Type: Article (Research - C1)
ISSN: 1999-494X
Keywords: intrusion detection system, heuristics evaluation, IDS interface, usability evaluation methods
Copyright Information: © Siberian Federal University. All rights reserved. This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).
Date Deposited: 28 Mar 2023 01:49
FoR Codes: 46 INFORMATION AND COMPUTING SCIENCES > 4609 Information systems > 460901 Business process management @ 100%
SEO Codes: 22 INFORMATION AND COMMUNICATION SERVICES > 2201 Communication technologies, systems and services > 220105 Network systems and services @ 100%
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