Responses to AHP-style questionnaires regarding the publication "D-Score: An Expert-Based Method for Assessing the Detectability of IoT-Related Cyber-Attacks"
Meidan, Yair;Benatar, Daniel;Biton, Ron;Shabtai, Asaf
Description
In order to assess in advance the detectability of IoT-related cyber-attacks by anomaly-based network intrusion detection systems, we developed an expert-based method which relies on the AHP methodology. The online AHP-style questionnaire can be found here: https://bguprivacysurvey.limequery.com/537457 The dataset which is hereby made public, includes the (anonymous) responses of 40 cyber-security researchers and practitioners, covering 4 IoT attack scenarios. The related publication is mentioned hereinafter; please be sure to cite it upon the use of this dataset.
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Metrics Over Time
Publication Details
Subfield
Information Systems
Field
Computer Science
Domain
Physical Sciences
Confidence Score
72%
Source
Open Alex
Keywords
Internet of Things (IoT) Security, Attack Detection, Network Traffic Predictability, Multi-Criteria Decision Making, Analytical Hierarchical Process (AHP)