Informatics Publishing Limited

I. Solomon ¹, R. S. Nimya ¹, S. Sumitha ¹

Affiliations
1 Department of Information Technology, PSN College of Engineering and Technology, Tirunelveli, IN

Abstract

Conditional Access System (CAS) is the essential basis of a Digital Pay-TV System, which is used to prevent unauthorized access to audio/video data and ensure the benefit of the service providers. In the CAS, key distribution is an essential part, whether the distribution scheme succeeding or not can directly affect the security of the CAS. In this paper, based on four-level key hierarchy, a new key distribution scheme based on rc4conditional access system in Digital Pay-TV system is presented, in which we adopt the new scheme to generate and distribute authorization key and group key more efficiently. Our new key management scheme for wireless sensor networks to reduce the memory and communication overhead, and improve the security capacity. Moreover, the proposed scheme provides Low re-keying cost and High level of security.

Keywords

Key Management, Conditional Access System, Group Key Distribution, Pay-TV, RC4 Vector Key.

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S. Christal ¹, S. Sumitha ²

Affiliations
1 Department of Information Technology, PSN College of Engineering & Technology, IN
2 Department of Information Technology, PSN College of Engineering & Technology, IN

Abstract

Vehicular Ad–Hoc Networks can offer various service to the user. In this paper, we propose vector Based Cryptosystem to achieve security in terms of privacy and authentication. A Key management scheme based on vector group is to be proposed for VANET to overcome high memory overhead and also to reduce the high computational time in the existing system.

Keywords

Key Management, Privacy, Authentication, Energy Consumption, Pair Wise Key Establishment.

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M. Ravichandran ¹, S. Sumitha ¹

Affiliations
1 PSN College of Engineering and Technology, IN

Abstract

A robust approach for extracting car license plate from images with complex background and relatively poor quality is presented in this paper. The paper represents the automatic plate localization component of Car License Plate Recognition system and character recognition. The approach concerns stages of preprocessing, edge detection, filtering, detection of the plate's position, slope evaluation, and character segmentation and recognition. Single frame gray-level images are used as the only source of information. In the experiments all types of license plate were used, camera obtained at different daytime and whether conditions. The results derived have shown that the approach is robust to illumination, plate slope, scale, and is insensitive to plate's country peculiarities. The proposed paper provides character recognizer for the identification of the characters in the license plate. These results could be also usable for other applications in the input output transport systems, where automatic recognition of registration plates, shields, signs, etc., is often necessary.

Keywords

License Plate, Edge Detection, Character Reorganization, Segmentation.

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