This paper suggests the improvement of security in Micro Aerial Vehicle (MAV) communication protocol for the communication between the Ground Control Station (GCS) and the MAV. Proposed method involves the implementation of the Caesar Cipher method of data encryption with a secured key. The method of Ciphering is used for authentication of the Micro Aerial Vehicle at the beginning of the communication. Later the same is used for critical command, control and parameter messages at varied frequencies. This results in improvement of security and reliability of the system in defense and other high security applications.

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The enlarged size of the internet and vast communication across it and also medical needs digital images require of security plays vital role. So different techniques are used to protect confidential image data from unauthorized access. In this paper, we propose a New encryption technique Using elliptic curve cryptography with a magic matrix operations for securing images that transmits over a public unsecured channel. There are two most important groups of image encryption algorithms: some are non chaos-based selective methods and chaos-based selective methods. The majority of these algorithms is planned for a specific image format, compressed or uncompressed.

This paper presents a design method for optimizing software-testing efficiency by identifying the most critical path clusters in a program. This is done by the application of soft computing techniques, specifically genetic algorithms. We develop a genetic algorithm that selects the software path clusters to test, which are weighted in accordance with the criticality of the path. Exhaustive software testing is rarely possible because it becomes intractable for even medium-sized software applications. Typically only parts of a program can be tested, but these parts are not necessarily the most error prone ones. Therefore, we are designing a more selective approach for testing the paths that are more critical, which results in improving the testing efficiency.

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