Kongu Engineering College

About: Kongu Engineering College is a based out in . It is known for research contribution in the topics: Cluster analysis & Control theory. The organization has 2001 authors who have published 1978 publications receiving 16923 citations.

Analysis of privacy preserving K-anonymity methods and techniques

Abstract: Many applications employing the data mining techniques involve mining the data that includes private and sensitive information about the subjects K-anonymity is a property that models the protection of released data against possible re-identification of the respondents to which the data refers One of the interesting aspects of k-anonymity is its association with protection techniques that preserve the truthfulness of the data It is however evident that the collection and analysis of data that include personal information may violate the privacy of the individuals to whom information refers To guarantee the k-anonymity requirement, k-anonymity requires each quasi-identifier value in the released table to have at least k occurrences In this paper, we present a survey of recent approaches that have been applied to the k-Anonymity problem

Dual layer security of data using LSB inversion image steganography with elliptic curve cryptography encryption algorithm

Abstract: The steganography is a graceful tactic to convey the confidential information to an authorized recipient with the most reliable safety measure which leads to avoiding the breaches of data security. Nowadays the significance of taking strong protection measures in data communication medium has a challenging task because of the security related issues which are developed by unauthorized intervention. This presentation intends to provide a new approach based on a combination of Steganography and Cryptography procedure for inserting the hidden data into a cover object and obtain high data embedding capacity with an improved security level. In this approach, the Elliptic Curve Cryptography algorithm is used to encrypt the hidden information and the encrypted data inserted into a cover object by the process of the LSB Inversion algorithm. This blend of technology has successfully reached the benchmark level of some essential properties known as data confidentiality, integrity verification, capacity and robustness which are the evidence to prove the excellent performance and effective implementation of this steganography process. This new approach intensely tested through several steganalysis attacks such as analysis of visual, histogram, and chi-square. The outcome of the experimental result shown that the stego image has delivered the strong opposition force against all attacks. The data embedding capacity has attained at an improved level compared with typical methods.

Modelling and performance analysis of electric vehicle

Abstract: Conventional vehicles utilise petroleum-derived fuels for providing good performance and long-range speed. Due to the utilisation of petrol or diesel, there are few disadvantages such low fuel econ...