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Insider Threats Meet Access Control: Insider Threats Detected Using Intent-Based Access Control (IBAC) Audiobook by Abdulaziz M Almehmadi PhD
4 juni 2019
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Title: Insider Threats Meet Access Control: Insider Threats Detected Using Intent-Based Access Control (IBAC)
Categories: Computer Science, Technology
Author: Abdulaziz M Almehmadi PhD
Narrator: Jonathan Frazier
Publisher: Abdulaziz Almehmadi, PhD
Release date: 06-04-2019
Language: English
Summary:
Existing access control mechanisms are based on the concepts of identity enrollment and recognition and assume that recognized identity is synonymous with ethical actions. However, statistics over the years show that the most severe security breaches have been the results of trusted, authorized, and identified users who turned into malicious insiders. Therefore, demand exists for designing prevention mechanisms. A non-identity-based authentication measure that is based on the intent of the access request might serve that demand. In this book, we test the possibility of detecting intention of access using involuntary electroencephalogram (EEG) reactions to visual stimuli. This method takes advantage of the robustness of the Concealed Information Test to detect intentions. Next, we test the possibility of detecting motivation of access, as motivation level corresponds directly to the likelihood of intent execution level. Subsequently, we propose and design Intent-based Access Control (IBAC), a non-identity-based access control system that assesses the risk associated with the detected intentions and motivation levels. We then study the potential of IBAC in denying access to authorized individuals who have malicious plans to commit maleficent acts.
https://audiobookzap.com/free
Title: Insider Threats Meet Access Control: Insider Threats Detected Using Intent-Based Access Control (IBAC)
Categories: Computer Science, Technology
Author: Abdulaziz M Almehmadi PhD
Narrator: Jonathan Frazier
Publisher: Abdulaziz Almehmadi, PhD
Release date: 06-04-2019
Language: English
Summary:
Existing access control mechanisms are based on the concepts of identity enrollment and recognition and assume that recognized identity is synonymous with ethical actions. However, statistics over the years show that the most severe security breaches have been the results of trusted, authorized, and identified users who turned into malicious insiders. Therefore, demand exists for designing prevention mechanisms. A non-identity-based authentication measure that is based on the intent of the access request might serve that demand. In this book, we test the possibility of detecting intention of access using involuntary electroencephalogram (EEG) reactions to visual stimuli. This method takes advantage of the robustness of the Concealed Information Test to detect intentions. Next, we test the possibility of detecting motivation of access, as motivation level corresponds directly to the likelihood of intent execution level. Subsequently, we propose and design Intent-based Access Control (IBAC), a non-identity-based access control system that assesses the risk associated with the detected intentions and motivation levels. We then study the potential of IBAC in denying access to authorized individuals who have malicious plans to commit maleficent acts.
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