Manish Sharma

Rajasthan Technical University, Computer Engineering, Faculty Member

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International Journal IJRITCC

Auricle Technologies Pvt. Ltd.

Hesham A. Hefny

Cairo University

Jaydip Sen

Praxis Business School

simhachalam b

Gitam University,Visakhapatnam,India

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Papers by Manish Sharma

Digital Image Authentication System based on Digital Watermarking

by Manish Mathuria and Manish Sharma

IEEE explorer, Feb 7, 2013

In these days, people are using social networking sites for sharing their life moments as images.... more In these days, people are using social networking sites for sharing their life moments as images. And another side other users can access or even download those digital images. Faker can exploits by editing and modifying the original image. Modify images can then be upload and share. The illegal use of personal image comes under copyright law. This research paper introduces a prototype for Digital Image Authentication System (DIAS). This system can perform visible and invisible watermarking on image. DIAS is applicable for color and gray images. The input image could be of any size, and the resultant image size would be same as input image. DIAS identifies the ownership of digital image using Digital Watermarking. The Digital watermarking concept is used to hide and detect information from image. It is the best way to copyright protection of the user. By the use of digital watermarking, user can blame on faker for ownership. This is known as an Authentication System for ownership identification. The complete system consists of two functions, one for hiding information inside image and other for detecting information from image. In this approach, digital watermarking performed using Discrete Wavelet Transform (DWT) and analyzed its results.

A Review Study on the Privacy Preserving Data Mining Techniques and Approaches

by Manish Mathuria and Manish Sharma

International Journal of Computer Science and Telecommunications (IJCST) , Sep 2013

With the extensive amount of data stored in databases and other repositories it is very important... more With the extensive amount of data stored in databases and other repositories it is very important to develop a powerful and effective mean for analysis and interpretation of such data for extracting the interesting and useful knowledge that could help in decision making. Data mining is such a technique which extracts the useful information from the large repositories. Knowledge discovery in database (KDD) is another name of data mining.
Privacy preserving data mining techniques are introduced with the aim of extract the relevant knowledge from the large amount of data while protecting the sensible information at the same time. In this paper we review on the various privacy preserving data mining techniques like data modification and secure multiparty computation based on the different aspects. We also analyze the comparative study of all techniques followed by the future research work.

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An Efficient Approach of Privacy Preserving Data Mining

In many organizations large amount of data are collected. These data are sometimes used by the or... more In many organizations large amount of data are collected. These data are sometimes used by the organizations for data mining tasks. However, the data collected may contain private or sensitive information which should be protected. Privacy protection is an important issue if we release data for the mining or sharing purpose. Privacy preserving data mining techniques allow publishing data for the mining purpose while at the same time preserve the private information of the individuals. Many techniques have been proposed for privacy preservation but they suffer from various types of attacks and information loss. In this paper we proposed an efficient approach for privacy preservation in data mining. Our technique protects the sensitive data with less information loss which increase data usability and also prevent the sensitive data for various types of attack. Data can also be reconstructed using our proposed technique.

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Privacy Preserving Data Publishing Based on k-Anonymity by Categorization of Sensitive Values

It has some weaknesses like data utility reduction and more information loss which need to be foc... more It has some weaknesses like data utility reduction and more information loss which need to be focus and optimize. Therefore, the main challenge of research is to minimize the information loss during anonymization process. This paper introduces a new approach for privacy preserving method which is based on categorization of sensitive attribute values. The sensitive attribute value is categorized into high sensitive class and low sensitive class. Anonymization is performed only on those tuples which belong to high sensitive class, whereas tuples belong to low sensitive class published as it is. An experimental result shows that our proposed method is efficient compare to traditional k-anonymity, in terms of data utility and information loss.

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Query Processing Performance And Searching Over Encrypted Database By Using An Efficient Algorithm

A Review Study On Privacy Preserving Data Mining Techniques And Approaches

Data is the central asset of today's dynamically operating organization and their business. This ... more Data is the central asset of today's dynamically operating organization and their business. This data is usually stored in database. A major consideration is applied on the security of that data from the unauthorized access and intruders. Data encryption is a strong option for security of data in database and especially in those organizations where security risks are high. But there is a potential disadvantage of performance degradation. When we apply encryption on database then we should compromise between the security and efficient query processing. The work of this paper tries to fill this gap. It allows the users to query over the encrypted column directly without decrypting all the records. It's improves the performance of the system. The proposed algorithm works well in the case of range and fuzzy match queries.

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Digital Image Authentication System based on Digital Watermarking

by Manish Mathuria and Manish Sharma

IEEE explorer, Feb 7, 2013