Jan 9, 2022 · This study explores three main research questions through Artificial Neural Network-based (Han et al., 2017) cyber-risk management framework ...
The cyber-risk assessment module uses FNN, which takes seven inputs comprising DDoS attack intensity and duration for five DDoS attack types, vulnerability data ...
The cyber-risk assessment module uses FNN, which takes seven inputs comprising DDoS attack intensity and duration for five DDoS attack types, vulnerability data ...
Cyber-risk management framework for online gaming firms: An Artificial neural network approach. K Sharma, A Mukhopadhyay. Information Systems Frontiers 25 (5) ...
Apr 25, 2024 · Cyber-risk Management Framework for Online Gaming Firms: an Artificial Neural Network Approach. Inf. Syst. Frontiers 25(5): 1757-1778 (2023).
Hackers have used Distributed-Denial-of-Service attacks to overwhelm a firm's cyber- resources resulting in disrupted access to legitimate end-users.
Cyber-risk Management Framework for Online Gaming Firms: an Artificial Neural Network Approach ... Online Gaming Firms: an Artificial Neural Network Approach.
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This research proposes novel techniques in cyber security risk management and attack detection frameworks using deep learning architectures.
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Our Feedforward Neural Network-based Cyber-risk Assessment and Mitigation (FNN-CRAM) model consists of three modules: assessment, quantification, and mitigation ...
Publications. Cyber-risk management framework for online gaming firms: An Artificial Neural Network approach. With Arunabha Mukhopadhyay. Information Systems ...