In lager-scale P2P file sharing systems, peers often must interact with unknown or unfamiliar peers without the benefit of trusted third parties or authorities to mediate the interactions. The decentralized and anonym...
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ISBN:
(纸本)9783540725893
In lager-scale P2P file sharing systems, peers often must interact with unknown or unfamiliar peers without the benefit of trusted third parties or authorities to mediate the interactions. The decentralized and anonymous characteristics of P2P environments make the task of controlling access to sharing information more difficult. In this paper, we identify access control requirements and propose a trust based access control framework for P2P file-sharing systems. The model integrates aspects of trust and recommendation, fairness based participation schemes and access control schemes.
Multi-objective genetic algorithm is much suitable for solving multi-objective optimization problems. By use of Genetic algorithm, the optimization of S-boxes is explored in this paper. Results of the experiments show...
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Multi-objective genetic algorithm is much suitable for solving multi-objective optimization problems. By use of Genetic algorithm, the optimization of S-boxes is explored in this paper. Results of the experiments show that, with heuristic mutation strategy, the algorithm has high searching efficiency and fast convergence speed. Meanwhile, we also have take the avalanche probability of S-boxes into account, besides nonlinearity and difference uniformity. Under this method, an effective genetic algorithm for 6×6 S-boxes is provided and a number of S-boxes with good cryptographic capability can be obtained.
A new unsupervised term weighting scheme and a corresponding algorithm are proposed for document clustering in the vector space of high dimensionality. In the weighting scheme, a suitable and individual weight is assi...
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A new unsupervised term weighting scheme and a corresponding algorithm are proposed for document clustering in the vector space of high dimensionality. In the weighting scheme, a suitable and individual weight is assigned to each feature of a cluster as a means to minimize a proposed clustering criterion for subspace clustering. The expression of the optimal terms weights is mathematically derived from the criterion function that takes into account both the average intra-clusters compactness and the average inter-clusters separation. The method has been used to spam filtering, i.e. clustering emails into Spam and Non-Spam categories, and experimental results have shown its effectiveness.
Recent developments in processor, memory and radio technology have enabled wireless sensor networks, which are deployed to collect useful information from an area of interest. Since various sensor nodes often detect c...
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Recent developments in processor, memory and radio technology have enabled wireless sensor networks, which are deployed to collect useful information from an area of interest. Since various sensor nodes often detect common phenomena, there is likely to be redundancy in the data. Data aggregation is an essential paradigm by combining the data coming from different sources reroutes - eliminating redundancy, minimizing the number of transmissions and thus saving energy. Inspired by the social behaviors of ant colony and the technology of intelligent entity agent, in this paper, we proposed a data aggregation routing optimization method based on ant colony algorithm using agent collaboration and migration. A number of ant-like mobile agents traverse the Wireless sensor network (WSNs) in search of data aggregation paths between given source-destination node pairs while seeking to optimum migrate probability based on updating pheromone. Also, we presented an evaluation Ant colony optimation (ACO) algorithm with data aggregation gain. Our simulation results show that our algorithms perform well in energy efficient compared with LEACH and PEGASIS.
Data gathering is a major function of many applications in wireless sensor networks (WSNs). The most important issue in designing a data gathering algorithm is how to save energy of sensor nodes while meeting the requ...
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ISBN:
(纸本)9781424403523
Data gathering is a major function of many applications in wireless sensor networks (WSNs). The most important issue in designing a data gathering algorithm is how to save energy of sensor nodes while meeting the requirement of applications/users such as sensing area coverage. In this paper, we propose a novel hierarchical clustering protocol for long-lived sensor network. EAP achieves a good performance in terms of lifetime by minimizing energy consumption for in-network communications and balancing the energy load among all nodes. EAP introduces a new clustering parameter for cluster head election, which can better handle the heterogeneous energy capacities. Furthermore, it also introduces a simple but efficient approach, namely intra-cluster coverage to cope with the area coverage problem. We evaluate the performance of the proposed protocol using a simple temperature sensing application. Simulation results show that our protocol significantly outperforms LEACH and HEED in terms of network lifetime and the amount of data gathered.
The secondary structure prediction of protein plays an important role to obtain its tertiary structure and function. In the past thirty years, a huge amount of algorithms have been employed to this task. The better pr...
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This paper presents a control-flow-based program behavior extended model EMPDA (extended model based on push down automaton) by adding invariance constraints to control flow model, which can describe some invariance p...
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This paper presents a control-flow-based program behavior extended model EMPDA (extended model based on push down automaton) by adding invariance constraints to control flow model, which can describe some invariance properties while a program is running safely, and enhance the ability of intrusion detection. By distinguishing the importance of system calls according to practical applications, this paper divides the program behavior model into core model and secondary model to reduce the workload of the model and improve the learning efficiency. Experimental results show that the extended model has better performances in many aspects, such as coverage speed, false positive rate and the capability of intrusion detection.
Signal transduction (ST) networks simulation is important to medical research. However, owing to the complexity of the networks, most methods presented for the simulation are not desirable. Here, based on multi-agent ...
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With the development of Internet technology, the Web Service is playing a more and more important role in satisfying the needs of large and growing community, this in turn demands that Web Servers meet the high QoS (Q...
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With the development of Internet technology, the Web Service is playing a more and more important role in satisfying the needs of large and growing community, this in turn demands that Web Servers meet the high QoS (Quality of Service) requirements of applications. In particular, Web Servers needs to deal with problems as highly concurrent requests, different clients with different QoS requirements, and so on. Therefore, how to improve the QoS of Web Servers has become a hot research topic. This paper presents a new proportional delay differserv-enabled model for heterogeneous Web Server clusters. The model describes the request arriving and serving process of cluster nodes by [M/M/1]:[∞/∞/FCFS] queuing theory. The paper also puts forward two adaptive algorithms for request selection and dispatch, both algorithms are based on feedback control and each of them has a unique request selection and dispatch strategy. The experiment result is also given. It shows that the model presented here is suitable for heterogeneous Web Server clusters, as the clusters can achieve better QoS performance when these two algorithms are applied.
In this paper, we present a new theory regarding cluster overlap, which allows for the computation of a cluster overlap rate that turns out being a very good measure of similarity between clusters. Using this measure,...
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