The amount of audio available in different databases on the Internet today is immense. Even systems that do allow searches for multimedia content, like AltaVista and Lycos, only allow queries based on the multimedia filename, nearby text on the web page containing the file, and metadata embedded in the file such as title and author [1]. This might yield some useful results if the metadata provided by the distributor is extensive. Producing this data is a tedious manual task, and therefore automatic means for creating this information is needed. In this paper an algorithm to segment the given audio and extract the features such as MFCC , SF , SNR , ZCR is proposed and the experimental results shown for the given algorithm[2] [3].

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The notion of attribute-based encryption (ABE) was proposed as an economical alternative to public-key infrastructures. It is the set of descriptive attributes, used as an identity to generate a secret key, as well as serving as the access structure that performs access control. ABE is also a useful building block in various cryptographic primitives such as searchable encryption. . It successfully integrates Encryption and Access Control and is ideal for sharing secrets among groups, especially in a Cloud environment. Most developed ABE schemes support key-policy or ciphertextpolicy access control in addition to other features such as decentralized authority, efficient revocation and key delegation. This paper surveys mainstream papers, analyzes main features for desired ABE systems, and classifies them into different categories. With this high-level guidance, future researchers can treat these features as individual modules and select related ones to build their ABE systems on demand. For ABE, it is not realistic to trust a single authority to monitor all attributes and hence distributing control over many attribute-authorities is desirable. A multi-authority ABE scheme can be realized with a trusted central authority (CA) which issues part of the decryption key according to a user's global identifier (GID). However, this CA may have the power to decrypt every cipher text, and the use of a consistent GID allowed the attribute-authorities to collectively build user's attributes. Decentralized ABE scheme can eliminate the burden of heavy communication and collaborative computation. It is observed that privacypreserving decentralized key-policy ABE scheme has claimed to achieve better privacy for users and is provably secure in the standard model

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