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668 articles for “highly-secure”
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Redefining the Network Security with Zero Trust Model
Abstract: The fundamental problem in information security today is trust. Changing our trust model will change our networks and make them easier to build, maintain, and secure while making them more efficient, compliant, and cost-effective. According to the rule of law, all accused are deemed innocent until proven guilty, but Zero Trust security is not the case. The increased uncertainty created by such dynamicity adds to the access control process, highlighting …
Published in Journal of Open Source Developments · Vol. 8, Issue 3, 2021 · pp. 22–28 Read article
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Data Breaches and Malware Detection in Healthcare System
Abstract: The healthcare sector is undergoing a chaotic digital transformation, but the incorporation of new technologies is not typically the cause of health information-related data breaches. According to published industry studies, there are still many recorded data breaches as a result of equipment theft, hacking, ransomware attacks, and misuse, as well as a lack of basic security precautions. When compared to any other field, protecting health information is given the highest …
Published in Journal of Advanced Database Management & Systems · Vol. 9, Issue 3, 2022 · pp. 15–24 Read article
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Assessing the Socioeconomic Impacts of Land Tenure Systems Across Different Regions
Abstract: Land tenure systems are fundamental in shaping the socioeconomic structure and dynamics of communities across the globe. These systems, which define the legal and customary relationship between individuals, groups, and the land they own, use, or occupy, hold significant implications for economic development, social equity, and environmental sustainability. They determine how land resources are accessed, managed, and transferred, thereby influencing economic activities, wealth distribution, and community stability. This article provides …
Published in International Journal of Land · Vol. 2, Issue 1, 2025 · pp. 24–27 Read article
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Marketing and Advertisement Strategy Using Azure PaaS Services and Python Scripting
Abstract: Cloud computing has revolutionized the way businesses operate by offering on-demand access to a shared pool of computing resources over the internet. Its widespread adoption can be observed across various business sectors, such as finance, healthcare, education, and e-commerce. However, there are still sectors that have not fully realized the potential benefits of cloud computing. This study aims to shed light on the specific sectors where cloud computing has gained …
Published in Journal Of Network security · Vol. 11, Issue 2, 2023 · pp. 12–17 Read article
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Gender Participation Role in Food Production, Processing and Utilization at Konso Zone, Southern Ethiopia
Abstract: Staple food of Konso is Sorghum and it is said as ancient crop in the area. It has drought-resistant characteristics that makes basic food source for people. It is consumed in different form of dishes like cheqa, kurkufa, genfo and qita. Food security is an important issue in communities, as the area experiences high food shortages from April to August every production year. Labor division in area is considered egalitarian. …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 10, Issue 2, 2021 · pp. 33–43 Read article
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Real-time DDoS Attack Prediction in SDN Environments Using Machine Learning
Abstract: The ever-growing reliance on sdn-based services necessitates robust security measures against Distributed Denial-of-Service (DDoS) attacks that threaten service availability. This project investigates the development of a real-time prediction system for DDoS attacks in sdn environments, leveraging the power of machine learning. The proposed system employs a Decision Tree classification algorithm implemented in Python. To ensure accurate attack identification, the system meticulously addresses data preprocessing challenges inherent in network traffic datasets. …
Published in Journal Of Network security · Vol. 13, Issue 1, 2025 · pp. 16–27 Read article
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Database Intrusion Detection Using Genetic Support Vector Fuzzy Clustering Learning Model
Abstract: AbstractThe rapid development of computer networks and increasing dependency of almost all companies and government agencies on Internet and cloud computing lead to the problem of stability and security like intrusions in several forms which can cause huge loss to these organizations. During recent years, disaster in data due to intrusions has dramatically increased. The hindrance of such intrusions is entirely dependent on their detection part which can be possible …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 2, 2019 · pp. 32–40 Read article
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Universal Communication Design
Abstract: Universal Communication design enables to communicate using variable networks. Using FTP server & many other enhancing applications for WAN. The main objective of this project is to provide the security & reduce the time consumption using CISCO technology. The modules used in Network are briefly discussed. This article provides a secure method for transferring bulk data globally using different tools. Commands and objectives are provides Information transfer through network leads …
Published in Journal of Communication Engineering & Systems · Vol. 11, Issue 3, 2021 · pp. 28–35 Read article
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Role of Generative AI for Advanced Shell Language Design
Abstract: This study explores the emerging field of applying Artificial Intelligence (AI), specifically generative AI, to enhance shell scripting, a crucial skill for system administration and automation. While the formal design of entirely new shell languages using AI remains a long-term prospect, the current focus is on augmenting how existing shell languages are used for improving the scripting experience. This involves leveraging AI for tasks like automated script generation, intelligent code …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 1, 2025 · pp. 22–27 Read article
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Adaptive Trust-Aware Post-Quantum Secure Federated Learning with Dynamic Differential Privacy
Abstract: FL allows multiple users to train the machine learning model and ensure that they cannot share their raw data. Post-quantum secure aggregation and differential privacy for FL are introduced by the Beskar Framework; it assumes that all selected nodes will perform reliably. Due to hardware faults, network failures, or malicious intent, some of the assisting nodes may perform unreliably while we are developing it in the real-world. To assist the …
Published in Journal of Advanced Database Management & Systems · Vol. 13, Issue 2, 2026 · pp. 38–44 Read article
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The Rise of AI in E-Commerce: Transforming Shopping Experiences
Abstract: The field of e-commerce is transforming due to the integration of artificial intelligence, offering businesses fresh possibilities to enhance customer experiences, streamline operations, and foster expansion. This article explores the transformative impact of artificial intelligence (AI) on various aspects of e-commerce, including personalized shopping experiences, intelligent chatbots and virtual assistants, predictive analytics for inventory management, dynamic pricing strategies, visual search and image recognition, fraud detection, and security measures, augmented reality …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 22–26 Read article
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Adapting LSB Method on Bit-Plane for High-embedding Ratio of Steganography
Abstract: Internet is one of the medium of communication mostly used now a day. To conserve the security of information sent over the internet, steganographic concept makes its arrival. Least-significant bit and multi-bit embedding methods are the most well-known and familiar in this domain. Here, in this work, only least-significant bit method is used. It is a new technique which is indeed very simple in comparison to the other existing ones …
Published in Journal Of Network security · Vol. 1, Issue 1, 2013 Read article
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Designing a Novel Insider Threat Model for Enhanced Cybersecurity
Abstract: Designing a novel insider threat model is a critical imperative in the realm of cybersecurity. As organizations face an ever-expanding threat landscape, insider threats, whether deliberate or inadvertent, present a formidable challenge to the safeguarding of sensitive data and critical assets. This abstract encapsulates the significance, challenges, and innovations inherent in crafting an effective insider threat model for enhanced cybersecurity. The necessity for novel insider threat models arises from the …
Published in International Journal of Information Security Engineering · Vol. 1, Issue 2, 2023 · pp. 24–27 Read article
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Semiconduction detector for nuclear radiation
Abstract: This articulation has been study of radiation identification method by semiconductor. Radioactive transmutation originated radiation has scoped semiconductor to access energy exchange for generation of electron-hole pair to give rise semiconduction. Otherwise, electron and charged ion has collected to get signal to justify detection constitutive. Deficit of low atomic weight of Si and Ge to use as semiconductor detectors have schemed to secure through thick material preparation. In lieu, accessed …
Published in Journal of Nuclear Engineering & Technology · Vol. 12, Issue 1, 2022 · pp. 16–21 Read article
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Innovations in Oral Drug Delivery: Challenges and Opportunities
Abstract: The advancement of novel drug manufacturing technologies offers immense opportunities for innovation but brings regulatory complexities that must be addressed to ensure successful implementation. Early and frequent collaboration with the FDA is fundamental for overcoming these challenges. The establishment of the FDA’s Emerging Technology Team has been pivotal in fostering open dialogue, brainstorming, and feedback between regulators and innovators, reducing the likelihood of unexpected setbacks that could jeopardize projects. Mechanisms …
Published in Trends in Drug Delivery · Vol. 12, Issue 1, 2025 · pp. 31–43 Read article
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Smart Patient Monitoring and Motion Tracking System
Abstract: The integration of smart technologies in healthcare has revolutionized patient monitoring and diagnostics. This paper presents a Smart Patient Monitoring and Motion Tracking System designed for hospitals, leveraging EEG (Electroencephalogram) signals to track patient movements and monitor neurological health. The proposed system combines motion tracking with real time EEG signal analysis to enhance patient safety, especially for individuals prone to seizures, neurological disorders, or other mobility-related risks. The system employs …
Published in International Journal of Radio Frequency Innovations · Vol. 3, Issue 2, 2025 · pp. 9–23 Read article
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Design and Development of Multifunctional Stretcher
Abstract: Hospital stretchers and wheelchairs are integrated in this piece. Instead of using the chair and stretcher individually, the suggested stretcher can be utilized for multiple purposes. Patients' mobility issues can be greatly reduced by this arrangement. There is a challenge in the ICU moving seriously damaged or fractured patients from stretcher to wheelchair. This product is capable of addressing such situations. One more advantage of the proposed design to conduct …
Published in International Journal of Industrial and Product Design Engineering · Vol. 4, Issue 1, 2026 · pp. 29–34 Read article
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Advancements in AI-Driven Sound Spectrogram Analysis: From Deep Learning to Quantum and Neuromorphic Processing
Abstract: The rapid advancement of artificial intelligence (AI) has significantly reshaped the field of audio signal processing, with sound spectrogram analysis emerging as a central research focus. Spectrograms provide a rich time–frequency representation of audio signals, making them particularly suitable for data-driven learning approaches. This paper presents an in-depth and original review of modern AI-based techniques applied to spectrogram analysis, highlighting their growing impact across critical application areas such as healthcare …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 1, 2026 · pp. 01–06 Read article
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Recent research trends in Bioethanol production – An Indian context
Abstract: Biofuels production is indeed a research hotspot. Prevention is better than cure. A paradigm shift from fossil based to bio-based fuels gives health, wealth and happiness. Among various biofuels, after biodiesel, bioethanol is next to and close to commercialization. The use of bioethanol is countries like Brazil and US is a success story. In India there is significant progress taking place in the transportation sector to use bioethanol as fuel …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 16, Issue 2, 2026 Read article
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Veterinary Mycology: Fungal Infections in Livestock and Companion Animals
Abstract: Fungal infections represent a significant yet often underestimated challenge in veterinary medicine, affecting both livestock and companion animals. Veterinary mycology encompasses a diverse group of pathogens, including yeasts, molds, dimorphic fungi, and dermatophytes, that can cause localized or systemic diseases with substantial health, economic, and zoonotic implications. In livestock species, such as cattle, sheep, goats, poultry, pigs, horses, and camels, fungal infections manifest as dermatophytosis, mycotic mastitis, aspergillosis, keratomycosis, and …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 14, Issue 3, 2025 · pp. 44–51 Read article