By Hiran V. Nath (auth.), David C. Wyld, Michal Wozniak, Nabendu Chaki, Natarajan Meghanathan, Dhinaharan Nagamalai (eds.)
This publication constitutes the lawsuits of the 4th foreign convention on community safety and functions held in Chennai, India, in July 2011. The sixty three revised complete papers provided have been rigorously reviewed and chosen from quite a few submissions. The papers tackle all technical and functional features of safeguard and its functions for stressed out and instant networks and are equipped in topical sections on community safety and purposes, advert hoc, sensor and ubiquitous computing, in addition to peer-to-peer networks and belief management.
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Additional info for Advances in Network Security and Applications: 4th International Conference, CNSA 2011, Chennai, India, July 15-17, 2011
Rhymend Uthariaraj rest of the nodes in the network by broadcasting the MREQ based on equation (2) and also it should satisfy the equation (3). It gives the time slot for each node to broadcast the MREQ. The CycleNo and NodeId starts with 0. Upon receiving the MREQ, the neighboring nodes will rebroadcast it and if it has a non empty faulty list then it sends a MRPLY to the requester by incorporating its faulty list into it. of N odes∗P ollingInterval∗CycleN o) + (N odeId ∗ P ollingInterval)) (2) P ollingT ime ≤ P ollingEndT ime (3) The malicious node list requester accepts an unique MRPLY from the rest of the nodes in the network and stores it into a mapping table called Map Polled Misbehaving Node List which consists of Node Id to hold the node address from which the MRPLY has been received and a List to hold its corresponding misbehaving node list.
Even though these systems provide secrecy to information stream ciphers are highly vulnerable to attacks. The securities of these systems are calculated mostly in terms of correlation attacks and algebraic attacks. In these attacks the key is found by solving this multivariable system of equations. This paper presents a careful analysis on Stream Cipher TRIVIUM. The study has been performed on how the equations are generated and how much they are vulnerable to various attacks. Finally a minor variation has been made on TRIVIUM to prevent algebraic attack by guessing apposite nonlinear variables.
1 K. Gopalakrishnan and V. Rhymend Uthariaraj Performance Metrics The performance of the proposed system has been measured by using the following parameters 1. Packet Loss Ratio (%) - The packet Loss Ratio is measured in terms of the ratio of data packets not delivered to the destinations to those generated by the Constant Bit Rate (CBR) sources 2. Normalized Routing Load (Packets) - The number of routing packets including polling control packets transmitted per data packet delivered at the destination.