An Assured Encryption Strategy for Private Data Protection in Hybrid Cloud

2022 ◽  
pp. 271-279
Author(s):  
D. I. George Amalarethinam ◽  
J. Madhupriya
Keyword(s):  
Data Protection ◽  
Hybrid Cloud ◽  
Private Data

scholarly journals Using a web scraper to assess the level of privacy of diabetes mobile applications (Preprint)

2019 ◽  
Author(s):  
José Javier Flors-Sidro ◽  
Mowafa Househ ◽  
Alaa Abd-Alrazaq ◽  
Josep Vidal-Alaball ◽  
Luis Fernandez-Luque ◽  
...  
Keyword(s):  
Data Protection ◽  
Mobile Applications ◽  
Data Privacy ◽  
Mobile Apps ◽  
Significant Risk ◽  
Android Apps ◽  
Related Information ◽  
Actual Compliance ◽  
Private Data ◽  
Regulatory Bodies

BACKGROUND Mobile health has become a major channel for the support of people living with diabetes. Accordingly, the availability of diabetes mobile apps has been steadily increasing. Most of the previous reviews of diabetes apps have focused on the apps’ features and their alignment with clinical guidelines. However, there is a lack of knowledge on the actual compliance of diabetes apps with privacy and data security aspects. OBJECTIVE The aim of this study was to assess the level of privacy of diabetes mobile applications to contribute to raising the awareness of final users, developers and data-protection governmental regulators towards privacy issues. METHODS A web scraper capable of retrieving Android apps’ privacy-related information, particularly the dangerous permissions required by the apps, was developed with the aim of analyzing privacy aspects related to diabetes apps. Following the research selection criteria, the original 882 apps were narrowed down to 497 apps, which were finally included in the analysis. RESULTS 60% of diabetes apps may request dangerous permissions, which poses a significant risk for the users’ data privacy. In addition, 30% of the apps do not return their privacy policy website. Moreover, it was found that 40% of apps contain advertising, and that some apps that declared not to contain it actually had ads. 95.4% of the apps were free of cost, and those belonging to the Medical and Health and Fitness categories were the most popular. However, final users do not always realize that the free-apps’ business model is largely based on advertising, and consequently, on sharing or selling their private data, either directly or indirectly, to unknown third-parties. CONCLUSIONS The aforementioned findings unquestionably confirm the necessity to educate users and raise their awareness regarding diabetes apps privacy aspects. For this purpose, this research recommends properly and comprehensively training users, ensuring that governments and regulatory bodies enforce strict data protection laws, devising much tougher security policies and protocols in Android and in the Google Play Store, and the implication and supervision of all stakeholders in the apps’ development process.

scholarly journals A technique to MAGCIPHER for applying a data protection strategy in hybrid cloud

2021 ◽  
Vol 9 (1) ◽  
pp. 670-674
Author(s):  
D. I. George Amalarethinam ◽  
J. Madhu Priya
Keyword(s):  
Data Protection ◽  
Hybrid Cloud ◽  
Protection Strategy

scholarly journals A Case Study on Facebook Data Theft in Indonesia

FIAT JUSTISIA ◽  
2018 ◽  
Vol 12 (3) ◽  
pp. 206
Author(s):  
Rudi Natamiharja
Keyword(s):  
Social Media ◽  
International Law ◽  
Data Protection ◽  
Privacy Protection ◽  
Personal Data ◽  
Fundamental Rights ◽  
Warning Letter ◽  
Private Data ◽  
The Government

The rights to privacy as an individual fundamental right should be protected. Ironically, this right is deliberately delivered publicly in social media. And Facebook, the largest social media, keep more than 2.2 billion privacies data in the whole world. In early April 2018, one million personal data of Indonesian Facebook users was stolen by other parties. Mark Zuckerberg, as a founder and CEO, acknowledged that the Facebook data consisting of customer personal data had been stolen and used by other parties. It is one of the weaknesses and negligence of Facebook that needs to be addressed in the future. Indonesia government issued a warning letter to Facebook and required formal explanation concerning those recent cases. However, the Government's seriousness on the protection of personal data of its citizens is still questioned. How Indonesian regulations cover private data protection on their citizen and what steps should be taken to protect personal data in Indonesia? By using the International instrument and Indonesia legal instruments on the protection of privacy right, this article would give the answer what government Indonesian should do to undertake this situation. The research found that the regulation of privacy protection is sufficient yet the government has no determination to take account seriously on protecting the privacy right, and no sanction to the parties was involved. Socialization on the importance of personal data toward Indonesian society in Indonesia should be done, from the basic to the top level. Keyword: Right Privacy, International Law, Fundamental Rights

Real-time and intelligent private data protection for the Android platform

2015 ◽  
Vol 24 ◽  
pp. 231-242 ◽  
Author(s):  
Shih-Hao Hung ◽  
Shuen-Wen Hsiao ◽  
Yu-Chi Teng ◽  
Roger Chien
Keyword(s):  
Real Time ◽  
Data Protection ◽  
Private Data ◽  
Android Platform

scholarly journals Research on Privacy Data Protection Based on Trusted Computing and Blockchain

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Linkai Zhu ◽  
Sheng Peng ◽  
Zhiming Cai ◽  
Wenjian Liu ◽  
Chunjiang He ◽  
...  
Keyword(s):  
Data Protection ◽  
Trusted Computing ◽  
Encryption Algorithm ◽  
Transmission Protocol ◽  
Downlink Transmission ◽  
Blockchain Technology ◽  
Protection Method ◽  
Private Data ◽  
Long Time ◽  
Set Up

Aiming at the problems of low protection accuracy and long time consumption in traditional privacy data protection methods, a privacy data protection method based on trusted computing and blockchain is proposed. Set up the Internet node secure transmission protocol through the trusted node uplink transmission protocol and the downlink transmission protocol, and according to the transmission protocol, combined with the blockchain technology, the ECC elliptic curve encryption algorithm is used to encrypt the amount of data existing in the blockchain, and the AES symmetric encryption algorithm is used to encrypt the private data that exists in the nonblockchain, thereby completing the protection of network private data. The simulation experiment results show that the privacy data protection accuracy of the proposed method is higher and the work efficiency is faster.

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