Believe or Make Believe of Academic Misconduct in Information Forensics--A Case Study of Two Cryptography Algorithms

Charles, Surendran, and SureshKumar proposed "Heart disease data based privacy preservation using enhanced ElGamal and ResNet classifier" in 2022. Earlier, Thangavel and Varalakshmi proposed "Enhanced DNA and ElGamal cryptosystem for secure data storage and retrieval in cloud" in 2018, which both core algorithms the enhanced ElGamal scheme almost 99% similar. Who is victim or perpetrator, let we check the evidences. In this paper the authors would discuss how recognize who is victim or perpetrator, it is our research purpose. We analyze and check related information such as personal publication history, well-known database DBLP and so on, then manual work without machine learning to get the evidences, is our method. The research result and conclusion draw in final section.

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Publication Details

Published
2024-09-13
DOI
https://doi.org/10.1109/itme63426.2024.00166
Primary Topic
Academic integrity and plagiarism
Type
article
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article

Believe or Make Believe of Academic Misconduct in Information Forensics--A Case Study of Two Cryptography Algorithms

Jian Tian, Chenglian Liu, Zuoqing Li
Academic integrity and plagiarism
article

Believe or Make Believe of Academic Misconduct in Information Forensics--A Case Study of Two Cryptography Algorithms

Jian Tian, Chenglian Liu, Zuoqing Li
article en

Abstract

Charles, Surendran, and SureshKumar proposed "Heart disease data based privacy preservation using enhanced ElGamal and ResNet classifier" in 2022. Earlier, Thangavel and Varalakshmi proposed "Enhanced DNA and ElGamal cryptosystem for secure data storage and retrieval in cloud" in 2018, which both core algorithms the enhanced ElGamal scheme almost 99% similar. Who is victim or perpetrator, let we check the evidences. In this paper the authors would discuss how recognize who is victim or perpetrator, it is our research purpose. We analyze and check related information such as personal publication history, well-known database DBLP and so on, then manual work without machine learning to get the evidences, is our method. The research result and conclusion draw in final section.

Software Engineering Institute of Guangzhou
Gender equality
Openalex Percentile: Top 67%
Academic integrity and plagiarism
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