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460 articles for “Data Protection”
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A Study on Data Protection and Data Security Strategies in Cyber Space
Abstract: ABSTRACT “You can have security and not have privacy, but you cannot have privacy without security.” – Tim Mather Data security is the means of ensuring that data is kept safe from corruption and that access to it is suitably controlled. Thus, data security helps to ensure privacy. It also helps in protecting personal data. This study deals with the basic definition of data protection, different methods of data protection, …
Published in Current Trends in Information Technology · Vol. 2, Issue 3, 2012 · pp. 1–10 Read article
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Cryptographic and Software Data Protection Information
Abstract: In this paper problem of Cryptographic and software data protection, key management, and software data protection information has been considered. This is important problem in the field of protection information. Cite this ArticleZhangisina G.D., Ryskeldinov E. Cryptographic and Software Data Protection Information. Journal of Mobile Computing, Communications & Mobile Networks. 2015; 2(2): 20–22p.
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 2, Issue 2, 2015 · pp. 20–22 Read article
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Protected Data Compilation in WSN Using Random Routing Algorithms
Abstract: Wireless sensor networks make it conceivable to send secure information from source to destination. On the off chance that connected to network checking information on a host, they can be used to distinguish bargained hub; and refusal of administration is two-key assault. In this paper, we display four "Multi-way randomized directing Algorithm", a technique to send the information, various approaches to order the information into wireless sensor systems. The pure …
Published in Current Trends in Information Technology · Vol. 6, Issue 3, 2016 · pp. 43–50 Read article
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AI-Powered Cloud Storage Security: Intelligent Threat Detection, Adaptive Access Control and Resilient Data Protection
Abstract: Cloud storage has become a basic service for enterprises, educational institutions, digital platforms and electrical/electronic systems that continuously generate data. Its convenience, scalability and remote accessibility also increase exposure to credential theft, ransomware, accidental sharing, malicious insiders, misconfiguration and large-scale data leakage. Conventional security controls such as passwords, static access rules and signature-based detection remain necessary, but they often react after a known pattern has already appeared. This review presents …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 13, Issue 3, 2026 Read article
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Ethical AI and Data Protection in the Era of Industry 5.0
Abstract: This paper provides a comprehensive analysis of the critical intersection between Responsible AI (RAI), data privacy, and the Industry 5.0 paradigm. Industry 5.0, defined by its human-centric, sustainable, and resilient pillars, introduces a fundamental paradox: its core requirement for human-AI collaboration necessitates the collection and processing of granular human data, creating direct conflicts with emerging global data privacy and AI regulations. This research utilizes a systematic integrative review methodology, analyzing …
Published in International Journal of Information Security Engineering · Vol. 4, Issue 2, 2026 Read article
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Privacy-by-Design in Modern Data Science: A Systematic Review of Differential Privacy and Federated Analytics
Abstract: Okay so here is a problem that has been bothering us for a while. Everyone talks about how data is the new oil, how data-driven decisions are transforming healthcare, finance, governance, all of it. And that is true. But there is this massive elephant in the room that a lot of people in the data science community sort of wave away: privacy. The more useful the data, the more personal …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 Read article
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An Effective Privacy Preservation Technique for Enhancing Data Usability
Abstract: The rapid growth and adoption of modern database systems have created immense opportunities for researchers, industries, and organizations to extract meaningful knowledge and make data-driven decisions. While this progress has enabled the discovery of valuable patterns and trends, it has also intensified the challenge of safeguarding individual privacy. Merely removing direct identifiers such as names, social security numbers, or Aadhar card details is no longer sufficient, as adversaries can often …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 3, 2025 · pp. 35–40 Read article
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A Review Paper on Cyber Security with Data Security in Cloud Computing
Abstract: In cloud computing, security is a core concern because an organization or users trust for their critical information on cloud which is geographically dispersed and not under control of that user. Therefore security procedures and design of security architecture must be specific for cloud environment different to conventional technical system. Data security very important part of our life and it became a broad issue for information technology. In the cloud …
Published in Journal Of Network security · Vol. 9, Issue 3, 2021 · pp. 1–6 Read article
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Data Anonymnization for Privacy Protection Using Deep Learning Techniques
Abstract: The majority of real data are unbalanced, which makes them challenging to classify. Unbalanced data has been the subject of some research. However, deep learning has not taken into account how to manage such data. In this paper, we suggest deep learning-based data mining with imbalanced data for privacy protection. We discuss and analyse the aspects of current privacy-protection data mining as well as a deep learning based anonymizing tool. …
Published in Recent Trends in Parallel Computing · Vol. 9, Issue 3, 2022 · pp. 26–35 Read article
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Data-Driven Predictive Analytics and Decision- Making in FinTech Using MongoDB and High-Throughput Data Pipelines
Abstract: This paper examines the implementation of MongoDB and high-throughput data pipelines within the financial technology (FinTech) sector to drive data-informed predictive analytics and decision-making. The study focuses on the architectural components, scalability, and challenges of integrating NoSQL databases into real-time data ingestion and analytics pipelines. The transformative potential of these technologies in modern financial systems is highlighted through practical use cases such as fraud detection, credit scoring, and personalized financial …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 1, 2025 · pp. 1–15 Read article
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A Roadmap to Digital Path: Empowering College Students in Cybersecurity
Abstract: A cybersecurity area that focuses on college students, digital citizens of our time, who play an important role in determining the future of cybersecurity. It focuses on the unique challenges college students face, from identity theft to cyber and sensitive data security. This report examines best practices and methods for building college students’ online barriers and underscores the need for digital literacy, literacy, and personal responsibility in an era of …
Published in International Journal of Wireless Security and Networks · Vol. 2, Issue 1, 2024 · pp. 30–39 Read article
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Hadoop Based Cloud Data Security on Cloud Using Encryption Algorithm
Abstract: Cloud-computing is the typical creative pattern of computing technique for people to apply the Information-Technology its related works along with the cheaper capabilities of computing. The services offered on the web are extending from applying the cloud provider’s hardware and software to controlling the security and other issues. Securing the data from the malignant customers, a process of client-authentication have becomes a significant task. Several securities and the privacy problems …
Published in Journal of Computer Technology & Applications · Vol. 8, Issue 3, 2017 · pp. 40–48 Read article
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Balancing Progress and Privacy: Exploring the Societal Implications of Artificial Intelligence in the Digital Era
Abstract: This study investigates concerns about privacy, accountability, and justice, underscoring the importance of further examining the societal ramifications of artificial intelligence (AI). Interdisciplinary collaboration and responsible AI development will be fostered as a result. The intricate ramifications of AI on various facets of human existence—including labor, personal privacy, social connections, sound judgment, and ethical concerns—are also examined in this essay. To attain a more profound comprehension of the intricate conduct …
Published in Journal of Advancements in Robotics · Vol. 11, Issue 1, 2024 · pp. 15–19 Read article
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Cracking the Code: A Study on Exploitable Weaknesses in QR Code Technology
Abstract: This study investigates the exploitable weaknesses inherent in quick response (QR) code technology, aiming to provide insights into potential security risks and mitigation strategies. QR codes, ubiquitous in modern society, serve various purposes ranging from marketing to authentication. However, their widespread utilization also renders them vulnerable to exploits by malicious actors. The research identifies common vulnerabilities such as data tampering, code injection, and phishing attacks, which can have significant consequences, …
Published in Journal Of Network security · Vol. 12, Issue 2, 2024 · pp. 9–17 Read article
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Dodging Data Breaches: Cybersecurity for Developers
Abstract: In today’s rapidly evolving digital landscape, coding professionals serve as the architects shaping our technological future. Whether they are web developers, software engineers, cybersecurity specialists, or data analysts, these experts are responsible for building, designing, and securing the digital frameworks that power modern society. Their work ensures that systems function seamlessly, and vast amounts of data are kept safe. However, the growing dependence on technology and digital infrastructure has attracted …
Published in International Journal of Information Security Engineering · Vol. 2, Issue 2, 2024 · pp. 8–13 Read article
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Securing The Internet of Things: Threats, Safeguards, and Future Directions
Abstract: The Internet of Things (IoT) brings immense value while also presenting cybersecurity challenges due to its scale, distribution, and heterogeneity. This study conducts an in-depth analysis of IoT security issues, threats, vulnerabilities, and mitigation strategies through an extensive review of scholarly literature and real-world case studies. A multilayered security approach is proposed, encompassing device hardening, network monitoring, encryption, access controls, governance frameworks, and emerging technologies. The analysis underscores systemic IoT …
Published in Journal Of Network security · Vol. 11, Issue 2, 2023 · pp. 26–31 Read article
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Big Data and HR Analytics in Talent Management: A Study
Abstract: The discussion of the potential talent analytics provides HR practitioners is the goal of this article. The ability to analyses enormous volumes of data has become much more accessible over decades, and businesses are now using talent analytics to manage their workforce. There will be a lot of studies on how talent analytics may improve organizational decision-making. Majority of businesses use databases to hold complex data. A database is a …
Published in Recent Trends in Parallel Computing · Vol. 9, Issue 3, 2022 · pp. 16–25 Read article
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Integrity Protection of Text Document Data from Unauthorized Modifications
Abstract: Digital watermarking provides authentication, validation and copyright protection for multimedia contents over the internet. Text is the most widely used means of communication in addition to image, audio and video. So it needs to be protected. Text watermarking techniques that have been developed in the past protects the text from illegal copying, imitation, and prevents copyright violations. In this paper, we have proposed an algorithm that ensures the integrity and …
Published in Journal of Advanced Database Management & Systems · Vol. 1, Issue 3, 2014 · pp. 1–5 Read article
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Healthcare IT Innovations: Blockchain Technology for Healthcare Data Security and Privacy
Abstract: The healthcare sector has undergone a significant digital transformation, leading to the generation and sharing of vast quantities of sensitive medical data. While this digitization has improved patient care and outcomes, it has also introduced critical challenges related to data security and privacy. The increasing rate of data breaches in healthcare puts patient confidentiality at risk, mainly leading to identity theft, financial fraud, and loss of public trust in healthcare …
Published in International Journal of Information Security Engineering · Vol. 3, Issue 2, 2025 · pp. 01–12 Read article
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Ethical Risks of Generative AI in Education: Challenges, Implications, and a Responsible Use Framework
Abstract: The rapid diffusion of generative artificial intelligence (AI) technologies in educational settings is reshaping how teaching, learning, and assessment are designed and enacted. Large language models and related generative systems offer powerful capabilities for content creation, personalized feedback, and instructional support, promising gains in efficiency and learner engagement. However, their growing use also introduces a complex set of ethical risks that challenge foundational educational values such as integrity, equity, transparency, …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 23–30 Read article