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460 articles for “Data Protection”
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Accessing Secured Data in Cloud Computing Environment
Abstract: Number of industries using cloud computing has enlarged intensely over the last few years due to the attractive topographies such as scalability, flexibility, wild start-up and low costs. Services provided over the web are ranging from using earner’s software and hardware for dealing security and other issues. Some of the biggest challenges at this point are; providing discretion and data security to subscribers of public cloud servers. An efficient encryption …
Published in Journal of Web Engineering & Technology · Vol. 2, Issue 3, 2015 · pp. 7–13 Read article
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Data Security using Cloud Computing Adaption Framework
Abstract: AbstractIt is important to provide real-time data security for huge amount of data in cloud computing. A recent survey on cloud security stated that security of users’ data has the highest priority as well as concern. This can be able to achieve with an approach, which is systematic, adoptable and well structured. Therefore, here a framework called as Cloud Computing Adoption Framework (CCAF) has been developed which has been customized …
Published in Journal of Computer Technology & Applications · Vol. 7, Issue 3, 2016 · pp. 25–32 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 Comparative Study About Cyberattacks and Cybersecurity in Real World
Abstract: In the current scenario, many private companies and government organizations are facing cyberattacks and dangerous wireless communication technologies. Currently, all things depend on electric technology and needs to get protected against cyberattacks issue. The cyberattacks are harming all types of company and government data. Few attacks affected the military and politics like PC viruses, DDOS, malware, etc. Cybersecurity researchers follow various methods to protect data in real-time. This researcher wishes …
Published in Journal Of Network security · Vol. 10, Issue 3, 2022 · pp. 15–23 Read article
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Artificial Intelligence Techniques for Smart Polymer Nanocomposite Materials and Industrial Applications
Abstract: Protecting sensitive material data, manufacturing processes, and intelligent monitoring platforms is essential for the fast development of innovative polymer nanocomposite systems in fields such as aerospace, medicine, electronics, automobiles, and energy. In order to safeguard, consistently enhance, and optimize distributed industrial systems that consist of polymer nanocomposite materials, this study presents an AI-driven cybersecurity and cloud computing architecture. The suggested solution employs artificial intelligence (AI), machine learning (ML), cloud computing, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1109–1134 Read article
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Password Protected Image Encryption and Decryption using Hybrid Technique for Data Security
Abstract: Abstract: Data security and data anti-corruption are some areas of cryptography which is under continuous research and development. In this paper, a password based protection scheme has been included in order to increase the level of security of data. Here a hybrid technique for data security has been proposed and compared with its non-hybrid counterparts which resulted in the hybrid technique giving better results for various parameters of study like …
Published in Current Trends in Signal Processing · Vol. 9, Issue 1, 2019 · pp. 17–25 Read article
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GenChrome-ML: A Machine Learning Framework for Early Detection of Chromosomal Disorders Using Genomic Data
Abstract: The increasing burden of chronic disease and cancer demands innovative, more rapid and effective diagnostic tools in the field of healthcare. The majority of current diagnostic tools are dependent upon clinical symptomology and manual evaluation, leading to delays in early detection and treatment. The development of artificial intelligence (AI) and machine learning (ML), in recent years, has offered opportunities for the enhancement of disease prediction, diagnosis and personalization of treatment …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 Read article
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Study of Crypto-Watermarking Method for Secure Transmission of Medical Images
Abstract: The delivery of online content poses significant challenges due to the lack of a secure framework to protect valuable data. Due to the lack of a solid system for protecting important data, the distribution of secure online information is fraught with difficulties. However, the use of digital watermarking technology, that provides control, identification, and protection of content owners’ rights, offers a viable remedy. This research study proposes a novel method …
Published in Journal of Advanced Database Management & Systems · Vol. 10, Issue 2, 2023 · pp. 8–16 Read article
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A Comprehensive Review of AI-Driven Strategies for Tailored Wellness and Dietary Recommendations
Abstract: In today’s fast-paced world, health and fitness have become top priorities for many individuals. As a result, people increasingly turn to mobile apps and digital tools to track their wellness goals, follow diet plans, and stay fit. However, most of these apps provide the same set of recommendations for all users, ignoring the fact that everyone has different needs. This one-size-fits-all approach often fails to keep users engaged and motivated, …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 2, 2025 · pp. 16–20 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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Data Security in Cloud Computing
Abstract: Cloud computing is one of the rapidly developing technology in the IT industry due to its performance, optimal cost, easy deployment, reduced management and so on. As per consumers point of view, security in cloud computing mainly concerns, data security and data privacy issues. According to IDC (International Data Corporation) survey, security acts as a biggest challenge among the cloud users. The biggest concern about cloud is security which plays …
Published in Journal of Communication Engineering & Systems · Vol. 8, Issue 2, 2018 · pp. 17–23 Read article
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Enhancing Cyber Security in the Banking Sector Using Biometrics
Abstract: The fast-paced digital evolution within the banking industry has led to a substantial rise in the number of financial transactions conducted through online and mobile platforms. While this transformation has improved customer convenience and service accessibility, it has also exposed banking systems to a wide range of cyber threats, such as identity theft, phishing attacks, credential compromise, and financial fraud. Conventional authentication mechanisms, including passwords and personal identification numbers (PINs), …
Published in International Journal of Wireless Security and Networks · Vol. 4, Issue 1, 2026 · pp. 15–20 Read article
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Authentication Authorization and Auditing for Regenerating Encrypted Information in Cloud Computing
Abstract: AbstractTo secure an outsourced data in cloud storage against corruptions and adding fault tolerance to cloud storage together with data integrity checking and failure reparation becomes critical. Nowadays regenerating codes have been gained popularity due to the lower repair bandwidth while providing error a tolerance. Existing remote checking methods for regenerating-coded data only provide private auditing, requiring data owners to always stay online and handle auditing, as well as repairing …
Published in Journal of Computer Technology & Applications · Vol. 7, Issue 1, 2016 · pp. 7–11 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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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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Iris-Based Railway Systems: Advancements in Ticketing and Passenger Verification
Abstract: As railway transportation continues to expand and modernize, ensuring the safety and security of passengers, staff, and infrastructure has become a major priority. Traditional security methods, including manual identity verification, paper-based ticketing, and conventional access control systems, are often limited in their ability to prevent unauthorized access, identity fraud, and operational delays. To address these challenges, this paper explores the integration of biometric authentication technologies into railway systems as a …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 2, 2026 Read article
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Web-based Bug Tracking System to Find and Resolve Bugs
Abstract: Today’s world is surrounded by network and internet; in this world, “Data is a new Oil”. With the increase of the use of internet, the risk of data getting leaked also gets increased and here the role of cyber security comes to prevent this data to be hacked. Everyone, business, and foundation have personal information that they want to keep private. Cyber Security is essential in every field to protect …
Published in Journal of Open Source Developments · Vol. 9, Issue 3, 2022 · pp. 1–6 Read article
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Integration of Blockchain Technology in Healthcare: Opportunities and Challenges
Abstract: Blockchain is transforming data management with decentralization, immutability, and transparency, particularly in healthcare. It addresses challenges like data protection, interoperability, and supply chain traceability. Blockchain's evolution highlights rapid growth and dynamic research interests, empowering healthcare stakeholders with patient-centric approaches. Immutability ensures data accuracy and security, fostering trust. Its profound impact on clinical research, patient engagement, and self-management is evident. Challenges in scalability, interoperability, and regulatory frameworks persist. Real-world applications showcase …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 12, Issue 3, 2024 · pp. 64–77 Read article
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Cyberattack Detection System in Private Cloud
Abstract: As cloud computing adoption in colleges continues to rise, the security of private cloud systems has become a paramount concern. Data breaches resulting from cyberattacks can inflict severe damage to a university's revenue and reputation. This research proposes a novel machine learning-based cyber threat detection system tailored to the university's private cloud environment. The system's main objective is to continuously monitor the cloud infrastructure and employ advanced machine learning algorithms …
Published in Recent Trends in Parallel Computing · Vol. 10, Issue 2, 2023 · pp. 37–44 Read article
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Smart Attendance Management System: Design and Implementation
Abstract: The Smart Attendance Management System (SAMS) is an all-in-one, role-specific digital platform created to transform how educational institutions manage both attendance and academic content. Designed with modern technological standards, SAMS simplifies and streamlines the tracking of student attendance while also facilitating effective course administration. The system supports a wide range of features such as automatic attendance recording, detailed reports for individual subjects, and consolidated overviews of overall class attendance. In …
Published in Journal of Web Engineering & Technology · Vol. 12, Issue 2, 2025 Read article