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In mobile ad hoc networks (MANETs) security is of major concern because of its inherent liabilities. The characteristics of MANETs like infrastructure less network with dynamic topology pose a number of challenges to security design. There is an increasing threat of attacks in MANET. Wormhole attack is one of the security attacks on mobile ad hoc networks in which a pair of colluding nodes make a tunnel using a high speed network. This paper focuses on providing a solution for secure transmission through the network and proposes a neighbor node analysis approach to identify wormhole attack and removes wormhole link in MANET. The proposed work is simulated using NS-2 and is analyzed using certain parameters such as throughput, loss rate, delay rate.

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Due to rapid development of technology and increasing use of vehicles, license plate recognition system has numerous applications. In present world, crimes are increasing day by day with a rapid speed and criminals use vehicles in crimes. When we go at a crowded place, we see that people does not follow traffic rules during driving due to which many road accidents occur. So we have designed a license plate recognition system to overcome these problems. Identifying the license plate of a vehicle involved in crimes can help to nab the criminals. In recent years, template matching was used for license plate recognition but it is sensitive to noise. So, neural networks are used for recognition. In this paper, Haar wavelet and back propagation neural network are used for license plate detection and feature extraction of license plate characters. The proposed system has been implemented in MATLAB.