Detection of Cyber Attacks in Cybersecurity Systems Using Quantum Powered Deep Algorithm

Abstract

In cybersecurity, it is essential to develop an effective method to detect and mitigate threats with the increasing cyber threats and the traditional detection systems. This research shows the use of advanced techniques to improve cyber attack detection. This approach uses quantum computing principles to encode information in qubits and uses deep convolutional neural networks to extract and classify features. The results show an improvement in detection accuracy, and that reduces the increasing resistance against attack. The quantum-enabled DCNNs thus revolutionize cybersecurity against cyber attacks.