Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: DDoS attack traffic is difficult to differentiate from legitimate network traffic during transit from the attacker, or zombies, to the victim. ,  use the theory of network self-similarity to differentiate DDoS flooding attack traffic from legitimate self-similar traffic in the network.  observed that DDoS traffic causes a strange attractor to develop in the pattern of network traffic. From this observation,  developed a neural network detector trained by our DDoS prediction algorithm. Our preliminary experiments and analysis indicate that our proposed chaotic model can accurately and effectively detect DDoS attack traffic. Our approach has the potential to not only detect attack traffic during transit, but to also filter it.
['Ashley Chonka', 'Jaipal Singh', 'Wanlei Zhou']
I am writing a research paper on a idea Chaos theory based detection against network mimicking DDoS attacks
[{"from": "human", "value": "I am writing a research paper on a idea Chaos theory based detection against network mimicking DDoS attacks"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: DDoS attack traffic is difficult to differentiate from legitimate network traffic during transit from the attacker, or zombies, to the victim. ,  use the theory of network self-similarity to differentiate DDoS flooding attack traffic from legitimate self-similar traffic in the network.  observed that DDoS traffic causes a strange attractor to develop in the pattern of network traffic. From this observation,  developed a neural network detector trained by our DDoS prediction algorithm. Our preliminary experiments and analysis indicate that our proposed chaotic model can accurately and effectively detect DDoS attack traffic. Our approach has the potential to not only detect attack traffic during transit, but to also filter it."}]