IMPLEMENTATION OF JSMEA (JOINT SELECTIVE MULTIMEDIA ENCRYPTION ALGORITHM) - A PRIVACY ENHANCING STRATEGY
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Abstract
Cyber world plays a vital for exchanging information electronically. Different types of mechanisms and strategies are used for sending different types of information say information may be in the form of text, image, audio as well as video.The main motive is transference of information from the one end to other end must be safe and secure. So, that any third party say hackers or crackers could not access your confidential information and user can send their information successfullythrough secure communication channel. The video trend is more preferable now a days because of its size is large. As three types of mixed data is send through video like image, audio and video. So, it’s the duty of security professionals to provide security on all. During online transmission of data, to provide a secure channel is an important factor. For providing secure mode of channel two parameters are mainly considered viz time as well as speed. As per author’s investigation, Joint Selective encryption is the best way to achieve high level security during online data transmission via secure communication channel. There are several types of encryption algorithms are used as an example DES, SHA-1, Password hash, 3SEMCS and CAST AES 256 etc. There are many multimedia applications in digital world that requires privacy as an example confidential video conferences, confidential facsimile transmissions, medical image transmission and storage, DVD content protection, Pay-TV, Digital transmission through IEEE 1394 interface, streaming media.Forachieving a high level of security time required for new selective video joint encryption must be less that ultimately helps to improve thespeed of the proposed methodology named JSMEA that is termed as a Joint Selective Multimedia Encryption Algorithm that automatically increases the overall performance of the system.
This thesis introduces new improved algorithm JSME that is termed as Joint Selective Multimedia Encryption for selective image, audio and video encryption. This approach is derived from the standard RC4 algorithm. RC4 algorithm is already used for selective image and text encryption. Presently, this existing approach takes a lot of time that degrades the speed and slows down the system performance. Due to noticing these problems these existing algorithms shows variety of its weaknesses in vulnerable form. This vulnerable form shows attacker can easily launch attack inside the RC4 algorithm when required. So in this concern, this thesis has worked that on the one side to reduce the chances of attack and on another side provide strong selective multimedia encryption within short duration of time that ultimately provide high level of security. This paper has designed the RC4 based new improved enrichment approach to making strong the RC4 algorithm, “Extended-RC4â€. This approach is based on new KSA and PRGA algorithm process, which are the two stages inside the RC4 algorithm.
This thesis introduces new improved algorithm JSME that is termed as Joint Selective Multimedia Encryption for selective image, audio and video encryption. This approach is derived from the standard RC4 algorithm. RC4 algorithm is already used for selective image and text encryption. Presently, this existing approach takes a lot of time that degrades the speed and slows down the system performance. Due to noticing these problems these existing algorithms shows variety of its weaknesses in vulnerable form. This vulnerable form shows attacker can easily launch attack inside the RC4 algorithm when required. So in this concern, this thesis has worked that on the one side to reduce the chances of attack and on another side provide strong selective multimedia encryption within short duration of time that ultimately provide high level of security. This paper has designed the RC4 based new improved enrichment approach to making strong the RC4 algorithm, “Extended-RC4â€. This approach is based on new KSA and PRGA algorithm process, which are the two stages inside the RC4 algorithm.
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