Micro-Behavioral Accidental Click Detection System for Preventing Slip-Based Human Error.
Sensors (Basel)
; 21(24)2021 Dec 08.
Article
in English
| MEDLINE | ID: covidwho-1591121
ABSTRACT
Accidentally clicking on a link is a type of human error known as a slip in which a user unintentionally performs an unintended task. The risk magnitude is the probability of occurrences of such error with a possible substantial effect to which even experienced individuals are susceptible. Phishing attacks take advantage of slip-based human error by attacking psychological aspects of the users that lead to unintentionally clicking on phishing links. Such actions may lead to installing tracking software, downloading malware or viruses, or stealing private, sensitive information, to list a few. Therefore, a system is needed that detects whether a click on a link is intentional or unintentional and, if unintentional, can then prevent it. This paper proposes a micro-behavioral accidental click detection system (ACDS) to prevent slip-based human error. A within-subject-based experiment was conducted with 20 participants to test the potential of the proposed system. The results reveal the statistical significance between the two cases of intentional vs. unintentional clicks using a smartphone. Random tree, random forest, and support vector machine classifiers were used, exhibiting 82.6%, 87.2%, and 91.6% accuracy in detecting unintentional clicks, respectively.
Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Software
/
Computer Security
Type of study:
Diagnostic study
/
Prognostic study
/
Randomized controlled trials
Limits:
Humans
Language:
English
Year:
2021
Document Type:
Article
Affiliation country:
S21248209
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