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- W2553093323 abstract "Today, cloud computing systems are providing a wide variety of services and interfaces to which different service providers are now renting out spaces on their physical machines at an hourly rate. With the rapid expansion of computer usage and computer network the security of the computer system has become very important. Every day new kind of attacks are being faced by industries. Cloud computing is rapidly changing the scenario of the Internet service infrastructure that provided to users , enabling even small organizations to quickly build Web and mobile applications for millions of users by taking advantage of the scale and flexibility of shared physical infrastructures provided by cloud computing. With wide computing and growth of information in such organizations, the data center is the most demanded infrastructure in industry. In this scenario, multiple tenants save their data and applications in shared data centers, blurring the network boundaries between each tenant in the cloud. In addition, different tenants have different security requirements, while different security policies are necessary for different tenants. Of greater concern for most IT managers in a multitenant environment is securely isolating each tenant's data flows from other tenants operating on the same server. Firewalls, Intrusion Detection System (IDS), Anti-Virus Gateway etc. are now widely deployed in edge-network to protect end-systems from the attacks. However, nowadays sophisticated attacks are distributed in the overall Internet, have fewer characteristics and transform quickly. To address this we propose intrusion detection using artificial intelligence used in a multi- tenant data center. This proposed system will use Self Organizing Map algorithm which learn to characterize normal behavior, to prepare itself to detect any aberrant network activity. Neural networks method is a promising technique which has been used in many classification problems. The neural network component will implement the neural approach, which is based on the assumption that each user is unique and leaves a unique footprint on a computer system when using it. If a user's footprint does not match his/her reference footprint based on normal system activities, the system administrator or security officer can be alerted to a possible security breach. At the end of the paper we will figure out the advantages and disadvantages of Self Organizing Maps and explain how it is useful for building an Intrusion Detection System." @default.
- W2553093323 created "2016-11-30" @default.
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- W2553093323 date "2015-01-01" @default.
- W2553093323 modified "2023-09-24" @default.
- W2553093323 title "Efficient Method for Intrusion Detection in Multitenant Data Center" @default.
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