ISSN 2348-1196 (print) International Journal of Computer Science and Information Technology Research ISSN 2348-120X (online) Vol. 8, Issue 3, pp: (273-281), Month: July - September 2020, Available at: www.researchpublish.com
A SECURE INTRUSION DETECTION SYSTEM USING COA WITH ANN FOR CLOUD COMPUTING ENVIRONMENT 1 1
DHEERAJ KUMAR, 2RAJAN SACHDEVA
Research Scholar (M.Tech), 2Head of Department Computer Science
Guru Gobind Singh College of Modern Technology (GGSCMT), Kharar Sahibzada Ajit Singh Nagar, Punjab 140301, India
Abstract: Cloud computing is the recent fashionable approach used to provide computing services such as storage, database, network, software, analytics and more over the internet. As the communication has been performed through wireless link, therefore, the security of cloud data should becomes a major concern. To resolve this problem, IDS (Intrusion Detection System) is designed for cloud system using Artificial Neural Network (ANN) with Cuckoo Search (CS) approach. In the beginning, the CS algorithm is used to choose the cloud server's best features. The CS algorithm is used to refine the path between the source server node and the destination server node. Therefore, when intruder joins the network, its properties are correlated with the properties that are contained in the database. If the properties are not matched then, it is detected as intruder otherwise; normal server and starts communication. ANN is equipped based on structured properties such as site co-ordinates, distance between servers and energy consumed by the system. Furthermore, the built model's output is ultimately calculated and correlated with the existing work. Keywords: Network, Artificial Neural Network (ANN), Intrusion Detection System (IDS), Cuckoo Search (CS).
I. INTRODUCTION Presently, in the IT world, cloud computing is the fastest growing computing method. It provides various services to their users such as comfort, on demand; Shared computing resources like as networks, servers, storage, and applications. The computing network is influenced by a number of threats and a safety environment has been implemented to secure the information. A research will be done by a number of authors to enhance the security level [1]. Security is a major concern for decision-making in the cloud computing space. When security standards are promulgated by the provider or the buyer needs the higher level security standards, so it becomes necessary to address the security issues in cloud services. The cloud computing is about providing information on the benefits of preventing malicious software attacks like DDoS. Solutions offered by a trusted cloud computing service will detect DDoS attacks and respond effectively to ensure 24/7 availability. It can also provide solutions that protect users' credentials against theft. In addition, without a secure platform, hackers can access transaction information, manage data, and return fake data to harm cloud computing clients [2]. Of all the network security challenges, this research has focused on the DDoS attack, which is an extension of DoS (Denial-of-Service) attack. DoS Attack and its distributed version seek to make a service unavailable to intended users by unloading a DdoS attack, system or network source. Although the experts working in the network security have devoted grate effort in order to solve this problem, DDoS attacks have been on the rise, and have been increasingly affected the computing services in recent times [3].
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