DCW-RNN: Improving Class Level Metrics for Software Vulnerability Detection Using Artificial Immune System with Clock-Work Recurrent Neural Network

As the defenses evolve, so do the solutions to a software vulnerability. The primary reason for security incidents, e.g., cyber-attacks, originates from software vulnerabilities. It is challenging to enhance the performance of software processes and determine and eliminate software vulnerabilities....

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Vydané v:	2021 International Conference on INnovations in Intelligent SysTems and Applications (INISTA) s. 1 - 8
Hlavný autor:	Sahin, Canan Batur
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 25.08.2021
Predmet:	clock-work dendritic cell Measurement object-oriented metrics optimization Prediction algorithms recurrent neural network Recurrent neural networks Software Software algorithms Software metrics software vulnerability Technological innovation
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