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In this paper, we propose a hybrid method for intrusion detection which is based on k-means, naive-bayes and back propagation neural network (KBB). Initially we apply k-means which is partition-based, unsupervised cluster analysis method. In the form of clusters, we attain the gathered data which can be easily processed and learned by any machine learning algorithm. These outcomes are provided to...
In recent years P2P computing systems gain popularity and impact due to the anonymity, dynamism, scalability, and cost sharing. Due to autonomy of peers and open environment, security is big issue in P2P computing systems. Traditional security mechanisms used in centralized systems are not suited for P2P computing systems because there is no central point of authority. The working of a P2P computing...
Each network device has buffer for storing incoming packet if packet is not instantly transferred, store packets if buffer space is available and drop packets if buffer space is exhausted. Mobile ad hoc Network (MANET) devices also using buffer space for same purpose as other network devices. MANET has its own routing protocols which can compromised with frequent route exchange, dynamic topology,...
Peer-to-Peer(P2P) computing is a new approach to establish a high performance computing system which aggregates idle computing cycles of PCs available on Internet. In this paper we propose a general purpose pure P2P computing framework for large scale scientific computation problems. Peer groups are fundamental building blocks of proposed framework. We propose four peer groups-administrator, query...
Complex and large scale scientific computation problems require high computing machines to process data or jobs which are expensive in terms of money. One most successful and low cost mechanism for acquiring the necessary computation power for such type of application is the Peer-to-Peer computing paradigm, which makes use of the computational power of personal computers. The peer-to-peer (P2P) systems...
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