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347 articles for “security algorithms”
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Quantum Data Harmonization: Resolving Disparate Information Realms with AI-driven Data Science
Abstract: The proliferation of heterogeneous data structures across fragmented information systems hampers insights derivation necessitating harmonization methodologies reconciling multidimensional datasets for collective analytics. This article reviews quantum techniques leveraging qubit superposition for probabilistic data transformations as a novel data harmonization paradigm tailored for varied schemas commonly confronting interdisciplinary analyses spanning healthcare, finance and environmental domains. Hybrid quantum-classical algorithms and AI-based automation workflows hold promise coordinating dispersed data pools through learned mappings …
Published in Journal of Advances in Shell Programming · Vol. 10, Issue 2, 2023 · pp. 34–38 Read article
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Predicting the Computer Access Needs of Employee Using Data Mining Algorithms
Abstract: Every business relies on data to better organize and access the information to improve their business operations and to identify opportunities for improvement. A better framework improves the ability to valuable products and better services to their customers. The wide swaths of data that every organization gathers requires a proper methodology to gain knowledge about the latest trends in the market. Data mining is the process that analyses the data …
Published in Journal of Advances in Shell Programming · Vol. 10, Issue 1, 2023 · pp. 12–16 Read article
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Providing security using Signature-Based Broadcast Authentication in Sensor Networks
Abstract: As per recent studies it is feasible to perform public key cryptographic operations on resource-constrained sensor platforms. But the problem is energy consumption introduced by public key operations makes any public key-based protocol an easy target of Denial-of-Service attacks. For example, if digital signature schemes like Elliptic Curve Digital Signature Algorithm are used directly for broadcast authentication without further protection, an attacker can simply broadcast fake messages and force the …
Published in Journal of Advancements in Robotics · Vol. 1, Issue 1, 2014 · pp. 12–16 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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Ring Protocol Improvising the Existing Data Link Layer Protocols
Abstract: AbstractRing protocol is an algorithm to improve upon the performance of existing data link layer protocols like Selective Repeat ARQ by reducing the number of acknowledgements and at the same time, reducing the number of retransmissions. A data structure with a ring whose size can be dynamically altered acts as the cornerstone for this algorithm.Keywords: Protocol, computer networks, data link layer, noisy channel, Wi-FiCite this ArticlePrajit TR, Sarala SM. Ring …
Published in Journal Of Network security · Vol. 5, Issue 2, 2017 · pp. 1–5 Read article
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Real-Time Video Surveillance Using ESP-32 CAM for IoT Applications
Abstract: The rapid advancements in technology and the growing concerns for security have driven the need for innovative, cost-effective, and scalable surveillance systems. This project presents the development of a smart surveillance system using the ESP-32 CAM module, a compact and low-cost microcontroller integrated with Wi-Fi, Bluetooth, and a high-resolution OV2640 camera. The system is designed to provide real-time monitoring, motion detection, and automated alert features, catering to the security needs …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 13, Issue 2, 2025 · pp. 26–35 Read article
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Using Artificial Neural Networking in Cryptography
Abstract: Cryptography system helps in transformation of information among authenticated users where there is no involvement of any third party using that information without that information with unauthorized access. This project implements encryption and decryption using neural network cryptography using AES key. The network construction will be generated solely on the parameters used in the training algorithm and the number of hidden neurons. In neural cryptography, both the communicating networks would …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 7, Issue 2, 2020 · pp. 56–61 Read article
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Loan Prediction Using Random Forest Algorithm
Abstract: With the growth of the banking sector, more and more people are applying for bank loans. All of these loans are not allowed. The principal income of bank assets arises from the interest earned on the loan. Bank profit or loss depends largely on the amount of the loan, i.e., whether customers pay off the loan or fail. The main purpose of banks is to invest their assets in secure …
Published in Journal of Advanced Database Management & Systems · Vol. 9, Issue 1, 2022 · pp. 33–39 Read article
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Gatividhi Guard: The Activity Guardian—Revolutionizing Security Information and Event Management (SIEM) Technology
Abstract: In the dynamic landscape of cybersecurity, organizations confront increasingly intricate cyber threats that necessitate sophisticated security measures. Conventional systems such as Security Information and Event Management (SIEM) systems face ongoing challenges, they often struggle to effectively detect and mitigate sophisticated attacks within extensive data sets. To address these limitations, the introduction of Gatividhi Guard signifies a paradigm shift in SIEM technology. Gatividhi Guard is an innovative SIEM platform leveraging advanced …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 1, 2024 · pp. 29–44 Read article
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Reliable Function used to Improve Security by Eliminating Malicious Nodes in VANET
Abstract: AbstractVehicular ad hoc network is a rising direction of research in improvement of network and communication. It is a type of ad hoc network in which there is a decentralized type of wireless network. It is communication-less which makes it powerless against assaults like DoS. The incoming traffic flooding the victim originates from many different sources. This effectively makes it impossible to stop the attack simply by blocking a single …
Published in Journal of Microcontroller Engineering and Applications · Vol. 5, Issue 1, 2018 · pp. 19–24 Read article
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Representative Feature Selection for Efficient Clustering
Abstract: AbstractClustering is one of the widely used data mining techniques. In machine learning, it is an unsupervised learning method that needs training data to be used. The problem with clustering is that it is computationally expensive and takes more time for grouping high-dimensional data. Therefore it is necessary to reduce number of features in the high-dimensional data in order to make the search space reduced. Many techniques came into existance …
Published in Journal Of Network security · Vol. 5, Issue 2, 2017 · pp. 19–27 Read article
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A Technical Review on Intrusion Detection System with Various Machine Learning Algorithms in Data Mining
Abstract: With the progression in information & communication technology (ICT), it has become a vital element of human’s life. But this technology has brought a lot of threats in cyber world. These threats increase the chances of network vulnerabilities to attack the system in the network. To evade these attacks there are distinct ways in which one is Intrusion-Detection System (IDS). IDSs are software or hardware products that automate this monitoring …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 5, Issue 1, 2018 · pp. 1–8 Read article
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Some Recent Developments in Media Technology
Abstract: The creation, distribution, and consumption of material have all changed as a result of the media technology's quick development. The influence of 5G on streaming and interactive media, virtual and augmented reality (VR/AR), blockchain for media rights management, and artificial intelligence (AI) in content creation are some of the current developments in media technology that are examined in this article. The rapid advancement of digital technology in recent years has …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 1, 2025 · pp. 30–36 Read article
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Synapse: Enhancing Collaborative Learning Through Adaptive Real-Time Communication for Educational Environments
Abstract: Synapse is a cutting-edge, real-time collaborative learning platform developed to overcome some of the most pressing challenges faced by current online education systems, such as limited student interaction, lack of engagement, and insufficient opportunities for real-time communication. By integrating a combination of tools such as video conferencing, instant messaging, and interactive social media-style features, Synapse promotes active participation and peer-to-peer collaboration among learners. One of the platform’s standout features is …
Published in Current Trends in Information Technology · Vol. 15, Issue 2, 2025 · pp. 24–30 Read article
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A Review on Internet of Things and its Applications
Abstract: AbstractWe are entering a new age of technology in computing, i.e. From the Internet of Things (IoT). In the cloud, the IoT is a kind of universal global neural network that links different things. In order to address this new challenge, the IoT is an intelligently connected device and system consisting of smart machines that interact and communicate with other machines, environments, objects and infrastructures, and Radio Frequency Identification (RFID) …
Published in Journal of Web Engineering & Technology · Vol. 7, Issue 3, 2020 · pp. 1–7 Read article
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Enhancing Credit Card Fraud Detection Using Device Fingerprinting and Behavioral Biometrics
Abstract: Credit card fraud is a growing global concern, with financial losses projected to reach $ 43.47 billion by 2028. Credit card fraud poses a major challenge in the financial industry, resulting in substantial financial losses and security risks. This research introduces a Machine Learning-based Credit Card Fraud Detection System designed to improve the accuracy of fraud identification. Due to the imbalanced nature of fraud datasets, SMOTE (Synthetic Minority Over-sampling Technique) …
Published in Journal Of Network security · Vol. 13, Issue 2, 2025 · pp. 40–50 Read article
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Deep Learning Enhanced Compressive Sensing for Wireless IoT Data Optimization and Weather Monitoring.
Abstract: This research explores the application of deep learning and compressive sensing in order to optimize data traffic in non-orthogonal multiple access (NOMA)-based wireless internet of things (IoT) networks and weather monitoring. Such a framework would be very effective and overcome pilot attacks and reconstruction losses for secure data transmission. In this regard, a strong communication model has been adopted based on power-domain NOMA for simultaneous wireless transmission by multiple IoT …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 2, 2024 · pp. 20–36 Read article
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Machine Learning Revolutionizing Server Management and Performance
Abstract: The modern data center is a complex and dynamic environment, grappling with ever-increasing workloads, stringent performance demands, and the constant pressure for cost optimization. As such, applying machine learning (ML) directly to the server infrastructure offers a powerful avenue for achieving advanced automation, resource optimization, and proactive problem resolution. This article explores the transformative potential of integrating machine learning into server systems, leveraging insights gleaned from the abstract and conclusion …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 36–44 Read article
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Solving Economic Load Dispatch Problems through Moth Flame Optimization Algorithm
Abstract: AbstractThis paper proposes the nature-inspired moth flame optimization (MFO) algorithm to solve the economic load dispatch (ELD) problem of power system. The ELD is a concept where the committed generating units are scheduled to meet the total power demanded by the residential area. The ELD problems are solved by the optimization process of the objective function, hence optimization is done by minimizing the total fuel cost function of the generating …
Published in Journal of Semiconductor Devices and Circuits · Vol. 3, Issue 3, 2016 · pp. 25–33 Read article
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Maintain Attendance Using Image Processing Technique
Abstract: Attendance tracking stands as a pivotal pillar in organizational management, bearing significant implications for operational efficiency, resource allocation, and fostering accountability. Traditional methodologies for attendance maintenance frequently exhibit deficiencies in terms of precision, security, and scalability, thus necessitating the exploration of avant-garde solutions. This research endeavors to introduce a pioneering approach to attendance upkeep, harnessing the prowess of image processing techniques synergized with artificial intelligence (AI) algorithms to surmount prevailing …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 2, 2024 · pp. 29–34 Read article