-Cloud-based outsourced storage relieves the client's load for storage management and maintenance by providing a comparably low-cost, scalable, locationindependent platform. Though, the information that clients no longer have physical control of data specifies that they are facing a potentially formidable risk for missing or corrupted data. To avoid the security risks, inspection services are serious to ensure the integrity and availability of outsourced data and to achieve digital forensics and reliability on cloud computing. Provable data possession (PDP), which is a cryptographic method for validating the reliability of data without retrieving it at an untrusted server, can be used to realize audit services. In this project, profiting from the interactive zero-knowledge proof system, the construction of an interactive PDP protocol to prevent the fraudulence of prover (soundness property) and the leakage of verified data (zero knowledge property).To prove that our construction holds these properties based on the computation Diffie-Hellman assumption and the rewindable black-box knowledge extractor. An efficient mechanism on probabilistic queries and periodic verification is proposed to reduce the audit costs per verification and implement abnormal detection timely. Also, we present an efficient method for choosing an optimal parameter value to reduce computational overheads of cloud audit services.

-The aim of the current study is to understand impulsivity, reward and loss sensitivity in decision making using Iowa Gambling Task and investigate how impulsivity affects decision-making using BIS/BAS scale. We investigate how the personality trait determines decision making using NEO-FFI scale. Method: We assessed 130 participants for conducting two types of experiment (1) Choice Behavior Test is conducted with the help of Iowa Gambling Task (IGT) on the computer screen.(2) Personality Test is conducted with the help of Behavior Inhibition system and Behavior Approach System (BIS/BAS), NEO-F FI( NEO-Five Factor Inventory) scale and Rational-Experiential Inventory (REI).Results: The result indicated that participants who were low on impulsivity fared worst on IGT task compared to the participants who were high on impulsivity. Similar results were demonstrated for personality traits and information processing styles. The results imply that personality traits determine decision-making process. Similarly, information processing styles evaluate preferences for information processing that determine the decisions making and Impulsivity affects decision making.

The present innovation has wearable device answers for ease the issues of handicapped people. Student-GLASS is a wearable smart camera device built with a powerful microcontroller that has the ability to see what we, normal people, are seeing, understands the user voice requests and supplies the relevant information using auditory feedback through an earphone. The device aims to improve the quality of life for the blind and visually impaired people and makes them understand their surroundings in a clear way as close as to a normal person at an affordable cost. The device consists of an OV7670 camera sensor based vision module, which can capture up to VGA resolution pictures. The device depends on the services of a smart phone for its voice recognition capabilities. A special voice recognition app must be installed on the smart phone which will communicate with the device using a Bluetooth connection. The device supports memory card up to 4GB, to store the necessary audio and image files. It is capable of generating high quality MP3 audio using VS1011e, a DSP based audio codec chip. The user can interact with the device using a four input capacitive touch buttons built into it. This is helpful when the user doesn't have a smart phone or if its data connectivity is lost.

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