Cloud computing has become popular due to the ongoing developments in the Internet and technical advancements. Users are increasingly storing their Web resources and data in the cloud environment due to the convenience and reduced cost of cloud computing services. Data security is crucial to the development of communication systems in cloud computing. Since data in cloud storage environments needs to be protected from intruders, network security in cloud environment has grown significantly in importance in recent years. In order to address these challenges, there is a need for an intrusion detection system (IDS) that can effectively identify malicious attack in the network. Several approaches have been used in the past years to solve these challenges, but due technological advancement and expansion in cloud users, there is a need to improve on the existing methods. Therefore, this study developed a novel IDS in cloud environment using support vector machine and fast firefly algorithm (SVM-FFA). The developed model was simulated using MATLAB programming environment. Packet delivery ratio (PDR), throughput, energy consumption and accuracy are the performance metrics used in contrasting SVM-FFA with the existing method. In addition to improving user performance in the cloud environment, the study has been able to offer a strong IDS for cloud computing.
Olusesi et al. (Thu,) studied this question.