K. A. Dhanya

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In this paper, we propose a statistical approach for smartphone malware detection. A set of features such as hardware, permission, application components, filtered intents, opcodes and strings are extracted from the samples to form a vector space model. Feature selection methods such as Entropy based Category Coverage Difference (ECCD) and Weighted Mutual(More)
The popularity and openness of Android platform encourage malware authors to penetrate various market places with malicious applications. As a result, malware detection has become a critical topic in security. Currently signature-based system is able to detect malware only if it is properly documented. This reveals the need to find new malware detection(More)
Targeted delivery of drugs to colon has the potential for local treatment of a variety of colonic diseases. The main objective of the study was to develop a multiparticulate system containing chitosan microspheres for the colon targeted delivery of ondansetron for the treatment of irritable bowel syndrome. This work combines pH-dependent solubility of(More)
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