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103 articles for “protection of privacy”
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Data Privacy in AI: Securing the Sensitive Information Through Homomorphic Encryption
Abstract: Artificial intelligence (AI) technology increasingly relies on sensitive user data, particularly finance and healthcare. While legacy encryption technologies safeguard data in transit and at rest, they are of no use when data must be decrypted to be processed. This is a bleak privacy threat, particularly in AI applications that call for constant processing of data. The objective of this study is to apply homomorphic encryption, a feature in which operations …
Published in International Journal of Information Security Engineering · Vol. 3, Issue 2, 2025 · pp. 25–30 Read article
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Elevating Security in IoT Cloud Fusion: Challenges and Remedies
Abstract: The integration of internet of things (IoT) devices and cloud computing platforms, known as IoT cloud fusion, enables powerful new applications but also poses significant security risks. This paper provides a comprehensive analysis of the security challenges in IoT cloud fusion and emerging remedies to elevate protection. We assess key threats around data privacy, authentication, integrity, scalability, and interoperability through a systematic literature review methodology. Encryption, access controls, blockchain, and …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 3, 2023 · pp. 41–55 Read article
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A Review on Privacy and Security in Multimedia
Abstract: AbstractNumber of clients utilized cloud to store their information. Information stockpiling security: it is security of information on the capacity media. In distributed computing security is a critical element for guaranteeing customers that in the cloud, information is set on a safe mode. For shielding data from malevolent clients, customer validation turns into an essential assignment. There are various security and privacy issues/concerns related with distributed computing however, these issues …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 4, Issue 1, 2017 · pp. 21–27 Read article
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A Shareable Secure and Privacy Preserving Auditing Scheme for Cloud Storage Security
Abstract: AbstractCloud data security has been a concern as the cloud is considered untrusted environment. People across the globe can have cloud storage services in pay per use fashion. In this environment, enterprises store their valuable data in cloud. However, due to security concerns most of the cloud data owners are concerned about the integrity of data that has been outsourced. Many schemes came into existence in order to have integrity …
Published in Journal of Computer Technology & Applications · Vol. 7, Issue 3, 2016 · pp. 18–24 Read article
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A Framework for Privacy-preserving AI Models in Cloud Computing: Challenges and Solutions
Abstract: The growing adoption of cloud computing for deploying artificial intelligence (AI) models has led to significant advancements in sectors such as healthcare, finance, and e-commerce. However, the integration of AI with cloud computing raises critical privacy concerns, particularly when handling sensitive data. This paper presents a comprehensive framework for implementing privacy-preserving AI models in cloud environments, addressing the unique challenges, and proposing effective solutions. The suggested framework employs advanced privacy-preserving …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 3, 2024 · pp. 1–12 Read article
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AI-Driven Psychological Profiling on Social Media: Mechanisms, Ethical Breaches, and Regulatory Challenges in Data Inference
Abstract: This literature review examines AI-driven psychological profiling on social media, analyzing 21 academic studies that focus on machine learning techniques such as supervised learning, deep neural networks, sentiment analysis, and natural language processing. These methodologies infer mental health indicators—such as depression, anxiety, and stress—from users' digital footprints, encompassing linguistic patterns, engagement metrics, and temporal behaviors. While these tools offer potential for early detection of psychological distress, they also raise significant …
Published in Recent Trends in Social Studies · Vol. 2, Issue 1, 2025 · pp. 1–7 Read article
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Privacy Preserving of Vertically Partitioned Data Using Elliptical Curve Cryptography
Abstract: Data mining's privacy problems have become a big problem as a result of financial considerations. This work investigates the topic regarding the issue of privacy-preserving global association rule analysis over several parties in vertically partitioned data to efficiently prevent hidden trends and perform computations across the parties while respecting the privacy of their data. After that, it suggests using Shamir's method of secret sharing to support distributed mining of association …
Published in Journal of Advanced Database Management & Systems · Vol. 9, Issue 3, 2022 · pp. 31–38 Read article
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Privacy Preservation Methods in Multimedia Applications: A Comprehensive Review
Abstract: This comprehensive review explores the current landscape of privacy preservation techniques in multimedia applications, offering a detailed examination of their effectiveness, limitations, and future directions. As the use of multimedia data continues to grow across diverse sectors such as healthcare, surveillance, social media, and entertainment, ensuring the confidentiality and integrity of this data has become a pressing concern. The study covers a broad spectrum of privacy-preserving approaches, from conventional cryptographic …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 2, 2025 · pp. 33–41 Read article
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Real-Time Browser-Based Early Warning System for Cyberbullying Detection in Online Platforms
Abstract: The rise in social networking through internet-based communication tools, Instagram, and YouTube, to name a few, significantly increases the risk of cyberbullying, thereby increasing psychological trauma on users, especially children, through adverse emotional states like anxiety, depression, etc. For a long time, researchers have been enhancing detection tools to counter cyberbullying, but their ability to detect only after the fact, along with limited support for English-based architecture, is a major …
Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 09–15 Read article
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Blockchain-based Privacy-preserving Data Sharing in Healthcare Systems
Abstract: Healthcare systems contain expansive yet fragmented sensitive data necessitating secure consolidated access mechanisms respecting patient consent preferences continually. This research develops a decentralized blockchain framework orchestrating granular authorization using cryptography while demonstrating efficacy via clinical implementations optimizing cancer diagnostics through aggregated genome analysis otherwise prohibited under isolated datasets. Comparative benchmarking against traditional database models evaluates correctness, interoperability, and auditability improvements using multiparty endorsement affirming consented transactions. Quantified metrics guide technology …
Published in Journal of Advanced Database Management & Systems · Vol. 10, Issue 3, 2023 · pp. 28–34 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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A Study on the Ethical Implications and Data Privacy Challenges in the Age of Artificial Intelligence
Abstract: The fast adoption of Artificial Intelligence (AI) in areas like education, business, and everyday life comes with both tectonic and important ethical and data privacy issues. This paper examines the principle-practice divide between the ideals of the ethics as they are set and applied in the realities of AI implementation. The study is based on a mixed-methodology design, comprising of a quantitative survey of 52 participants and a qualitative study …
Published in Current Trends in Information Technology · Vol. 16, Issue 2, 2025 Read article
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Computational and Molecular Aspects of DNA Profiling in Forensic and Biomedical Sciences
Abstract: DNA profiling has changed many diverse modern sectors, from health and criminal justice to ancestry research and animal conservation. It is one of the most important scientific instruments of our time. This technique makes it possible to identify people, analyze family relationships, and learn more about biology by looking at unique genetic markers in a person’s DNA. DNA profiling has changed the way forensic science works by making it easier …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 1, 2026 · pp. 14–18 Read article
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The Importance of DNA Profiling Today
Abstract: DNA profiling has changed a lot of sectors, from health and criminal justice to ancestry research and animal conservation. It is one of the most important scientific instruments of our time. This technique makes it possible to identify people, analyse family relationships, and learn more about biology by looking at unique genetic markers in a person's DNA. DNA profiling has changed the way forensic science works by making it easier …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 4, Issue 1, 2026 · pp. 10–14 Read article
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Privacy and Security Issues in Mobile Social Networking
Abstract: Social network information is now being used in many ways for which it may have not been originally intended. In particular, the increased use of smart phones capable of running applications which access social network information enable applications to be aware of a user’s location and preferences. However, current models for exchange of this information require uses to compromise their privacy and security. Unique security and privacy issues exist in …
Published in Recent Trends in Parallel Computing · Vol. 2, Issue 2, 2015 · pp. 18–34 Read article
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A Unique Approach for Disc Encryption Based on Data Matrix
Abstract: The number of cloud users is growing due to contemporary facilities and technology. The Internet and cloud computing are the most often used categories nowadays. User privacy is a concern in cloud computing. Various approaches are being used to protect the data from intruders. This article uses a key to protect data that is comparable to plain text. The plain text and the key are partitioned into a matrix with …
Published in Journal of Communication Engineering & Systems · Vol. 13, Issue 3, 2023 · pp. 6–21 Read article
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A Comprehensive Review on Federated Learning in Disease Detection
Abstract: Healthcare data, which is frequently dispersed among various organisations, has enormous potential to improve predictive analytics and illness identification. However, there are substantial privacy & legal obstacles to sharing this private data for centralised model training. Federated Learning is a paradigm shift that allows several organisations to work together to build a global model without disclosing raw patient information. Federated Learning uses a larger dataset to provide more reliable insights …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 1, 2026 · pp. 1–21 Read article
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Privacy Preserving Cloud Data Access using Control and Automation Technique
Abstract: At gift the mankind are steadily relying extra on some of online garage stores to again up ourrecords or for the use of it in real time which gives an anywhere, anytime get admission to.These kinds of services convey with it, worries of safety and privacy weaknesses for all of theservices supplied via them for the reason that customers statistics are stored and maintainedout of user’s premises. This paper portrays …
Published in Journal of VLSI Design Tools and Technology · Vol. 10, Issue 1, 2020 · pp. 11–14 Read article
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Integration of RSA and Waterfall Framework: Aggrandize Security in Cloud Computing using Integration of Rivest–Shamir–Adleman (Encryption Algorithm) and Waterfall Model
Abstract: Eccentric consumer and associations benefit from cloud computing services, which allow continuous and longtime online storage of files. The problem arises when organization store highly privileged documents in cloud servers. Therefore, this paper targets a backbone structure for a cloud storage system, where the security and single user privacy is highly maximized. It is very obvious that the cloud computing servers are highly protected against unauthorized access, but in some …
Published in Journal of Microcontroller Engineering and Applications · Vol. 4, Issue 3, 2017 · pp. 1–8 Read article
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Security Measures in Cloud Computing
Abstract: Cloud computing is an internet technology generation that allowed as to a shared common computing resources for cloud customer in an on-demand or pay for only uses. Cloud computing gives many advantages to customer and agencies. Cloud computing gives distinguished and efficient offerings in terms of software program, hardware, server, databases and many others. In a greater bendy, fairly scalable and value-powerful manner than the traditional model of in-housing computational …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 8, Issue 2, 2021 · pp. 24–30 Read article