A Performed Intrusion Detection System for Cloud Environment Based on Deep Learning and Self-Adaptive Heuristic Search Algorithm with Optimization Strategies

Zouhair Chiba; Noreddine Abghour; Khalid Moussaid; Mohamed Rida; Academic Editor: Youssef EL FOUTAYENI

Research Communication | Open Access
Volume 2019 | Communication ID 283

A Performed Intrusion Detection System for Cloud Environment Based on Deep Learning and Self-Adaptive Heuristic Search Algorithm with Optimization Strategies

Zouhair Chiba, Noreddine Abghour, Khalid Moussaid, Amina El Omri, Mohamed Rida

Academic Editor: Youssef EL FOUTAYENI

Received	Accepted	Published
Feb 10, 2019	Feb 26, 2019	Mar 01, 2019

Abstract: The appealing features of Cloud Computing (CC) continue to fuel its wide-scale adoption and its integration in many sectors such industry, governments, education and entertainment. Nevertheless, the open and distributed structure of CC has resulted this class of computing prone to cyber attackers and intruders. To overcome this issue, we propose a smart approach using a self-adaptive heuristic search algorithm called “Improved Self-Adaptive Genetic Algorithm” (ISAGA) to build automatically a Deep Neural Network (DNN) based Anomaly Network Intrusion Detection System (ANIDS). ISAGA is our ...