PROJECT TITLE :
An Encryption Scheme Using Chaotic Map and Genetic Operations for Wireless Sensor Networks
Over the past decade, the application domain of wireless sensor networks has expanded steadily, ranging from environmental management to industry control, and from structural health monitoring to strategic surveillance. With the proliferation of sensor networks at home, work place, and beyond, securing information in the network has become a challenge. A number of security mechanisms are proposed for sensor networks to produce data confidentiality: 1) advanced encryption system; a pair of) KATAN; three) LED; and 4) TWINE. But, these schemes have drawbacks, including security vulnerabilities, would like for hardware-based implementation, and better computational complexity. To address these limitations, we tend to propose a lightweight block cipher based mostly on chaotic map and genetic operations. The proposed cryptographic theme employs elliptic curve points to verify the communicating nodes and together of the chaotic map parameters to get the pseudorandom bit sequence. This sequence is used in XOR, mutation, and crossover operations in order to encrypt the data blocks. The experimental results based on Mica2 sensor mote show that the proposed encryption theme is 9 times faster than the LED protocol and 2 times faster than the TWINE protocol. We have a tendency to have additionally performed a number of statistical tests and cryptanalytic attacks to judge the safety strength of the algorithm and located the cipher provably secure.
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