ANALYZE AN EFFICIENT TECHNIQUE TO SECURE AND DETECT MASQUERADE ATTACKS IN WSN

The purpose of this Research work is to develop an improvement in security and detection technology of masquerade attack in Wireless Sensor Network. Security has become the forefront of network management and implementation. The challenge in the security issue is to find a well balanced situation between two of the most important requirements: the need of developing networks in order to sustain the evolving business opportunities and work level, and the need to protect classified, private and in some cases even strategic information. The application of an effective security policy is the most important step that an institution can take to protect its network. Networks have grown in both size and importance in a very short period of time. If the security is compromised, there could be serious consequences starting from theft of information, loss of privacy and reaching even bankruptcy of that institution. The types of potential threats to network are continuously evolving and must be at least theoretical known in order to fight them back, as the rise of wireless networks implies that the security solution become seamlessly integrated, more flexible. We propose security goals for routing in sensor networks, show how attacks against ad-hoc and peer-to-peer networks can be adapted into powerful attacks against sensor networks, introduce two classes of novel attacks against sensor networks--sinkholes and HELLO floods, and analyze the security of all the major sensor network