415 research outputs found

    The challeges in implementing security in spontaneous ad hoc networks

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    Mobile Ad Hoc Networks (MANETS) promise much in the ability to rapidly deploy a wireless network in a fashion where no prior planning is needed and the network can be running efficiently and with high security within minutes. Natural disaster response, military, education and business provide areas where MANETS can offer significant advantages in communication where infrastructure networks may take days to set up or may be impossible to implement. This research reviews a selection of MANET protocols to show the progression of the research and the issues that are yet to be addressed. It discusses the challenges to researchers in improving ad hoc schemes to the point where they work in theory and in practice. Areas are highlighted that pose the most significant challenges to developing new security protocols and some food-for-thought is given for those who wish to contribute to this growing area of importance for wireless communication

    A Simulation-Based Study of Server Location Selection Rules in Manets Utilising Threshold Cryptography

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    Truly Ad Hoc wireless networks where a spontaneous formation of a network occurs and there is no prior knowledge of nodes to each other present significant security challenges, especially as entirely online configuration of nodes with encryption keys must be performed. Utilising threshold cryptography in this type of MANET can greatly increase the security by requiring servers to collaborate to form a single Certificate Authority (CA). In this type of CA responsibility for certificate services is shared between a threshold of servers, greatly increasing security and making attack against the CA considerably more difficult. Choosing which nodes to take on the role of a CA server can have a significant impact on the efficiency of the network, and the success of certificate requests. This research uses simulation to test different rules for choosing nodes to become servers based on their location within the network. Results show that choosing the best server location rules for particular configurations is essential in ensuring both robust security and efficient running of the network

    WARP: A ICN architecture for social data

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    Social network companies maintain complete visibility and ownership of the data they store. However users should be able to maintain full control over their content. For this purpose, we propose WARP, an architecture based upon Information-Centric Networking (ICN) designs, which expands the scope of the ICN architecture beyond media distribution, to provide data control in social networks. The benefit of our solution lies in the lightweight nature of the protocol and in its layered design. With WARP, data distribution and access policies are enforced on the user side. Data can still be replicated in an ICN fashion but we introduce control channels, named \textit{thread updates}, which ensures that the access to the data is always updated to the latest control policy. WARP decentralizes the social network but still offers APIs so that social network providers can build products and business models on top of WARP. Social applications run directly on the user's device and store their data on the user's \textit{butler} that takes care of encryption and distribution. Moreover, users can still rely on third parties to have high-availability without renouncing their privacy

    Emerging research directions in computer science : contributions from the young informatics faculty in Karlsruhe

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    In order to build better human-friendly human-computer interfaces, such interfaces need to be enabled with capabilities to perceive the user, his location, identity, activities and in particular his interaction with others and the machine. Only with these perception capabilities can smart systems ( for example human-friendly robots or smart environments) become posssible. In my research I\u27m thus focusing on the development of novel techniques for the visual perception of humans and their activities, in order to facilitate perceptive multimodal interfaces, humanoid robots and smart environments. My work includes research on person tracking, person identication, recognition of pointing gestures, estimation of head orientation and focus of attention, as well as audio-visual scene and activity analysis. Application areas are humanfriendly humanoid robots, smart environments, content-based image and video analysis, as well as safety- and security-related applications. This article gives a brief overview of my ongoing research activities in these areas

    A critical analysis of research potential, challenges and future directives in industrial wireless sensor networks

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    In recent years, Industrial Wireless Sensor Networks (IWSNs) have emerged as an important research theme with applications spanning a wide range of industries including automation, monitoring, process control, feedback systems and automotive. Wide scope of IWSNs applications ranging from small production units, large oil and gas industries to nuclear fission control, enables a fast-paced research in this field. Though IWSNs offer advantages of low cost, flexibility, scalability, self-healing, easy deployment and reformation, yet they pose certain limitations on available potential and introduce challenges on multiple fronts due to their susceptibility to highly complex and uncertain industrial environments. In this paper a detailed discussion on design objectives, challenges and solutions, for IWSNs, are presented. A careful evaluation of industrial systems, deadlines and possible hazards in industrial atmosphere are discussed. The paper also presents a thorough review of the existing standards and industrial protocols and gives a critical evaluation of potential of these standards and protocols along with a detailed discussion on available hardware platforms, specific industrial energy harvesting techniques and their capabilities. The paper lists main service providers for IWSNs solutions and gives insight of future trends and research gaps in the field of IWSNs
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