S. Thiraviya Regina Rajam ¹, S. Britto Ramesh Kumar ¹

Affiliations
1 Department of Computer science, St. Joseph’s College (Autonomous), Tiruchirappalli - 620002, Tamil Nadu, IN

Abstract

Background/Objectives: Today’s Technological world Information Security is an essential for commercial and legal trading, secrecy, truthfulness and non-reputability. The Elliptic Curve Cryptography (ECC) has become one of the latest trends in the field of Public-Key Cryptography (PKC). ECC promises a faster, efficient and more secured. In this paper, the Standard ECC and proposed Improved ECC (IECC) are compared. Methods/Statistical Analysis: The proposed IECC algorithm is designed to be more challenging as the repetitive characters of the text are replaced with the different cipher text in each of the iteration and outperforms the standard ECC in terms of cipher text, encryption, decryption time and security. This algorithm helps to assure end to end encryption for Online Social Network (OSN) users. Findings: The statistical analysis approach reveals a significant feature that the cipher text of IECC does not correlated with the plain text. This approach is improved ECC reduces more security than the Standard ECC. The proposed method is concluded that implemented IECC is better than standard ECC. Applications/Improvements: Except the proposed algorithm used for this research, the possibility of using other algorithms are implemented in future work.

Keywords

Cryptosystem, Decryption, Elliptic Curve Cryptography, Encryption, Key Generation

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I. Carol ¹, S. Britto Ramesh Kumar ¹

Affiliations
1 Department of Computer Science, St. Joseph’s College, Trichy - 620002, Tamil Nadu, IN

Abstract

Background/Objective: Creating queries for a single search term and identifying the viable solutions for the query are the two specific problems in retrieving the data. To resolve this issue, an effective information fusion technology should be provided to obtain effective results. This paper presents a method for resolving conflicts and eliminating duplicates with increased accuracy. Methods/Statistical Analysis: Universal wrappers are designed to retrieve the actual information from the heterogeneous data sources. The process of getting input itself is modified such that the retrieved results are relevant to the context. Ranking and duplicate eliminations are done accordingly to refine the obtained results to the user. Findings: Experimental results show that the improved accuracies of the data being fetched and with reduced conflicts and duplicates. This work uses major data sources from Google, New York Times and other offline data sources. By applying the proposed data retrieval techniques, the produced data is consistent by the help of wrappers. The proposed approach improves the data consistency which is relatively better than the existing technique. Finally, this proposed research work concludes that it is used to identify and resolve the conflict data and delivers the consistent data to the users in a ranked manner. Applications/Improvements: To create a unified repository which can be used for knowledge mining and warehouse based analysis of existing data and retrieve the result.

Keywords

Conflict Identification, Conflict Resolution, Data Retrieval, Ranking, Wrappers

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