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Dynamics of Malware Spread in Decentralized Peer-to-Peer Networks

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In this paper, we formulate an analytical model to characterize the spread of malware in decentralized, Gnutella type peer-to-peer (P2P) networks and study the dynamics associated with the spread of malware. Using a compartmental model, we derive the system parameters or network conditions under which the P2P network may reach a malware free equilibrium. The […]

Reputation-Based Trust for a Cooperative Agent-Based Backup Protection Scheme

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This paper explores integrating a reputation-based trust mechanism with an agent-based backup protection system to help protect against malicious or byzantine failures. A distributed cooperative trust system has the potential to add an additional layer of protection designed to operate with greater autonomy. This trust component enables the agents in the system to make assessments […]

Citation Parser using Sequent Alignment

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Parsing citations is essential for integrating bibliographical information published on the Internet. Most citation management techniques are based on the assumption that we can correctly identify the main components of a citation, such as authors’ names, title, publication venue, date, and the number of pages. In this paper, we propose a sequence-alignment based citation parser, […]

D-AdaptOR : Distributed Adaptive Opportunistic Routing

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In this paper propose a distributed adaptive opportunistic routing algorithm (d-AdaptOR) that minimizes the expected average per-packet cost for routing a packet from a source node to a destination. This is achieved by both sufficiently exploring the network using data packets and exploiting the best routing opportunities. This reinforcement learning framework allows for a low-complexity, […]

Adaptive Opportunistic Routing for Wireless Ad Hoc Networks

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A distributed adaptive opportunistic routing scheme for multihop wireless ad hoc networks is proposed. The proposed scheme utilizes a reinforcement learning framework to opportunistically route the packets even in the absence of reliable knowledge about channel statistics and network model. This scheme is shown to be optimal with respect to an expected average per-packet reward […]

Router Support for Fine-Grained Latency Measurements

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An increasing number of datacenter network applications, including automated trading and high-performance computing, have stringent end-to-end latency requirements where even microsecond variations may be intolerable. The resulting fine-grained measurement demands cannot be met effectively by existing technologies, such as SNMP, NetFlow, or active probing. We propose instrumenting routers with a hash-based primitive that we call […]

Enhanced data security model for cloud computing

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Cloud Computing becomes the next generation architecture of IT Enterprise. In contrast to traditional solutions, Cloud computing moves the application software and databases to the large data centers, where the management of the data and services may not be fully trustworthy. This unique feature, however, raises many new security challenges which have not been well […]

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