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Found 1 from your keywords: author=Toyyib, Ahmed Athallah
OPTIMALISASI KLASIFIKASI MULTICLASS SERANGAN SIBER DENGAN ALGORITMA PROXIMAL …
The Proximal Policy Optimization (PPO) and Advantage Actor-Critic (A2C) methods have proven effective in detecting, evaluating, and performing multi-class classification of cyberattacks. This study implements both algorithms within a Reinforcement Learning framework to classify types of attacks based on network traffic features. The datasets used for testing include CIC-IDS2018, CIC-IDS2017, IS…
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- xvi, 153 hlm., ilus., tab.; 29 cm
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- T1753242025
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