Browsing by Subject "Context awareness"
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Item CAST: Context-Aware Security and Trust framework for Mobile Ad-hoc Networks using Policies(Springer-Verlag, Berlin, Heidelberg) Li, Wenjia; Joshi, Anupam; Finin, TimDue to lack of pre-deployed infrastructure, nodes in Mobile Ad-hoc Networks (MANETs) are required to relay data packets for other nodes to enable multi-hop communication between nodes that are not in the radio range with each other. However, whether for selfish or malicious purposes, a node may refuse to cooperate during the network operations or even attempt to interrupt them, both of which have been recognized as misbehaviors. Significant research efforts have been made to address the problem of detecting misbehaviors. However, little research work has been done to distinguish truly malicious behaviors from the faulty behaviors. Both the malicious behaviors and the faulty behaviors are generally equally treated as misbehaviors without any further investigation by most of the traditional misbehavior detection mechanisms. In this paper, we propose and study a Context-Aware Security and Trust framework (CAST) for MANETs, in which various contextual information, such as communication channel status, battery status, and weather condition, are collected and then used to determine whether the misbehavior is likely a result of malicious activity or not. Simulation results illustrate that the CAST framework is able to accurately distinguish malicious nodes from faulty nodes with a limited overhead.Item Content and Context Aware Networking Using Semantic Tagging(IEEE, 2006-04-03) Kodeswaran, Sethuram Balaji; Joshi, AnupamTodays model of networking primarily concentrates intelligence at the end hosts with the network itself offering a simple``best-effort",``data agnostic" communication medium. However, such a paradigm has proven to be insufficient to meet todays needs considering the diversity of applications and devices that are networked. To offer value added services to these end users and applications, more and more intelligence needs to be migrated away from the edges and into the network in a controlled and tractable manner. In this paper, we present our approach of utilizing semantic data tagging to provide content level information for data streams flowing through a network. A policy based management mechanism is utilized within the network fabric allowing routers to reason over the content and make intelligent decisions regarding the handling of data packets. Service differentiation, in-network content adaptation, traffic monitoring and control etc. are some of the new services that can now be offered by the network in a generic and flexible manner. By deploying our proposed architecture, a network need no longer be viewed as a simple data transport medium but rather as a policy-controlled intelligent packet/stream processor that can offer specialized handling based on application needs.