Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Leenen, Louise"'
This paper focuses on the impact of leveraging autonomous offensive approaches in Deep Reinforcement Learning (DRL) to train more robust agents by exploring the impact of applying adversarial learning to DRL for autonomous security in Software Define
Externí odkaz:
http://arxiv.org/abs/2308.04909
This paper compares two deep reinforcement learning approaches for cyber security in software defined networking. Neural Episodic Control to Deep Q-Network has been implemented and compared with that of Double Deep Q-Networks. The two algorithms are
Externí odkaz:
http://arxiv.org/abs/2209.01490
Autor:
Leenen, Louise
M.Sc. (Computer Science)
The STSP (symmetric travelling salesman problem) involves finding the cheapest tour through a number of cities. It is a difficult problem and until recently algorithms for the TSP could not find the optimal tour in a rea
The STSP (symmetric travelling salesman problem) involves finding the cheapest tour through a number of cities. It is a difficult problem and until recently algorithms for the TSP could not find the optimal tour in a rea
Externí odkaz:
http://hdl.handle.net/10210/12237
Publikováno v:
Proceedings of the International Conference on Cyber Warfare & Security; 2024, p501-510, 10p
Autor:
Vorster, Johannes, Leenen, Louise
Publikováno v:
Proceedings of the International Conference on Cyber Warfare & Security; 2024, p421-429, 9p
Autor:
Coetzer, Christo, Leenen, Louise
Publikováno v:
Proceedings of the International Conference on Cyber Warfare & Security; 2024, p439-446, 8p
Publikováno v:
Proceedings of the International Conference on Cyber Warfare & Security; 2024, p75-83, 9p
Autor:
Botha, Johnny, Leenen, Louise
Publikováno v:
Proceedings of the International Conference on Cyber Warfare & Security; 2024, p34-42, 9p
Publikováno v:
In Computers & Security June 2016 59:186-209
Publikováno v:
Proceedings of the European Conference on Cyber Warfare & Security; 2023, p89-99, 11p