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347 articles for “security algorithms”
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Advanced Collaboration and Project Management Platform
Abstract: The growing dependence of employees on remote and hybrid working modes worldwide has driven a demand for modern collaborative platforms to optimize project management. All organizations are keen on solutions that enhance workflow efficiency, facilitate seamless communications, and boost overall productivity. The study presents an advancement in project management collaboration and aims at finding solutions to meet those demands, using API integration. The study explores the extent to which API …
Published in Journal of Web Engineering & Technology · Vol. 12, Issue 2, 2025 · pp. 11–18 Read article
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Personalization in E-Commerce and Its Impact on Customer Satisfaction
Abstract: In e-commerce, personalization is the process of customizing online shopping experiences based on each customer’s preferences, past purchases, and behavior. E-commerce platforms are increasingly using tailored content, targeted ads, and personalized recommendations to improve the user experience due to the rapid development of digital technologies and data analytics. Providing customers with pertinent goods and services is the primary goal of personalization, which increases convenience and engagement. By improving the efficiency …
Published in E-Commerce for Future & Trends · Vol. 13, Issue 2, 2026 · pp. 33–44 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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Crime Prediction and Criminal Identification System Using Machine Learning
Abstract: Advanced machine learning and data analytics-driven crime prediction and criminal identification systems have become game-changing instruments for contemporary law enforcement. Utilizing past crime statistics, surveillance footage, and additional resources, these systems forecast criminal activity, manage resources efficiently, and improve investigation capacities. With an emphasis on their importance in enhancing public safety and lowering crime rates, this paper presents an overview of criminal identification and prediction systems. Examining the technologies and …
Published in International Journal of Electronics Automation · Vol. 2, Issue 1, 2024 · pp. 28–34 Read article
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Speaker Identification using Hopfield Neural Network based Classifier
Abstract: The aim of this work is to enhance the performance of speaker identification using Hopfield neural network algorithm. Speech signals are collected from VALID Audio-Visual dataset and some speech signal pre-processing techniques are applied to process the speech to feed the Hopfield neural network algorithm. Filtering technique is applied to remove the noises from the speech signals. MFCC based standard speech feature extraction technique is used to extract the speech …
Published in Journal Of Network security · Vol. 3, Issue 2, 2015 · pp. 32–35 Read article
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Detection of Criminal Traces during Forced Iris Authentication
Abstract: AbstractAlthough iris recognition system is considered as most robust, hard to counterfeit and the most secure system of biometric authentication. However the existing system fails to detect a forced authentication which might be misused by criminals to unlock the user's account. In this paper we examine the conditions in which a real user is forcibly presented in front of iris scanner on gun point to unlock the account. In this …
Published in Recent Trends in Sensor Research & Technology · Vol. 5, Issue 3, 2018 · pp. 10–18 Read article
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An Optimal Bidding Strategy for Social Welfare Maximization of Microgrid
Abstract: Competition in power markets implies benefit to the generators as well as customer. The uncertain nature of bids and behavior of renewables makes the bidding strategy more complex. The power market comprises of Generation companies (GENCOS), Transmission companies (TRANSCOs) and Distribution companies (DISCOs) which actively participate in the auction process. In this paper, a new bidding strategy for a microgrid in day-ahead market is proposed for social welfare maximization considering …
Published in Journal Of Network security · Vol. 8, Issue 1, 2020 · pp. 11–21 Read article
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Moving Vehicle Speed Determination and Number Plate Recognition through Feature Extraction
Abstract: AbstractVelocity Estimation, instead of using complex algorithms, can be easily implemented on MATLAB by some simple calculations. Speed can also be tracked using the threshold values and thus concerned authorities can be notified using the Gmail interfacing. For real time applications, some advanced hardware should be used. Nowadays traffic is a very big problem in the urban areas that has to be addressed. Video monitoring is one of the latest …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 4, Issue 1, 2017 · pp. 1–3 Read article
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Implementation of RSA and CRT-RSA with MIST to Resist Power Analysis Attacks
Abstract: Security has transformed out into a fundamental range of research in space of computer science. With the advancement of side channel attacks, all the private and public key cryptosystems accessible worldwide has been discovered defenceless. Accordingly there has broughtdireness up in planning resisting systems against such unpredictable attacks. Power analysis attacks, which is the most famous side channel attacks has turned out to be a test for the majority of …
Published in Journal of VLSI Design Tools and Technology · Vol. 7, Issue 3, 2017 · pp. 1–12 Read article
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Implementation of RSA and CRT-RSA with MIST to Resist Power Analysis Attacks
Abstract: Security has transformed out into a fundamental range of research in space of computer science. With the advancement of side channel attacks, all the private and public key cryptosystems accessible worldwide has been discovered defenceless. Accordingly there has broughtdireness up in planning resisting systems against such unpredictable attacks. Power analysis attacks, which is the most famous side channel attacks has turned out to be a test for the majority of …
Published in Journal of VLSI Design Tools and Technology · Vol. 7, Issue 2, 2017 · pp. 1–12 Read article
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Epilert: Epilepsy Tracker and Detector
Abstract: Epilepsy, affecting over 50 million individuals worldwide, necessitates innovative solutions for effective monitoring and intervention. Current systems face challenges such as inaccuracy, limited accessibility, and discomfort, leaving patients and caregivers vulnerable. Epilert, a wearable device, addresses these gaps by employing advanced sensors and machine-learning algorithms for real-time epilepsy detection and monitoring. The device integrates electromyography (EMG) and motion sensors to capture and analyze physiological and movement data. Preprocessing techniques ensure …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 1, 2025 · pp. 1–8 Read article
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Human Drone Natural Interaction
Abstract: The necessity for user-friendly and intuitive control systems has been brought to light by the growing use of drones in a variety of businesses and by the general public. However, existing drone piloting techniques frequently need intricate manual manoeuvres and technical know-how, creating difficulties for novice and inexperienced pilots. The main goal of this effort is to create a ground control unit (GCU) that, instead of using a traditional radio …
Published in Journal of Advancements in Robotics · Vol. 10, Issue 2, 2023 · pp. 10–20 Read article
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Smart Infrastructure Systems: A New Era in Civil Engineering and Infrastructure Management
Abstract: Civil engineering has experienced a significant technological shift due to the adoption of smart infrastructure systems. The integration of the Internet of Things (IoT), artificial intelligence (AI), and big data analytics has facilitated real-time monitoring, predictive maintenance, and improved infrastructure management. These advancements have transformed the planning, design, and operation of roads, bridges, water systems, and buildings. By employing smart sensors and AI-driven algorithms, engineers can now optimize the entire …
Published in Recent Trends in Civil Engineering & Technology · Vol. 14, Issue 3, 2024 · pp. 38–43 Read article
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Enhancement of ATC using UPFC under Deregulated Environment
Abstract: Available transfer capability is the most important factor for the identification of power transfer from gencos to discos. In a deregulated power system, power producer and customer share a common transmission network for wheeling of the electric power. This may cause violation of line flow, voltage and stability limits and thereby undermine the security limit [1]. To improve the available transfer capability of the system FACTS controllers are used. UPFC …
Published in Journal of Power Electronics and Power Systems · Vol. 6, Issue 1, 2016 · pp. 66–72 Read article
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A Review of AI-Based Intrusion Detection Systems for Mobile Ad Hoc Networks (MANETs)
Abstract: Mobile Ad Hoc Networks (MANETs) comprise wireless networks that lack any conventional infrastructure . Their chief features include highly changing network topologies, lack of centralized administration, and open nature of communication, which collectively result in making MANETs of the wireless kind very susceptible to a diverse range of cyber-attacks like blackhole, greyhole, wormhole, flooding, Sybil and denial-of-service (DoS) among others. Conventionally, Intrusion Detection Systems (IDS) relying on static rule-based methods …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 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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Multi Base Station optimized Positioning for Black Hole Attacks in Wireless Sensor Networks
Abstract: AbstractA wireless sensor network (WSN) consists of distributed autonomous sensors to monitor environmental or physical conditions, such as temperature, sound, pressure, etc. and to pass your data to the main location through the network data through the network to the main location. Modern networks are bidirectional. They also allow control of sensor activity. So, the main problem for this is security, since some attacks are presented in the network to …
Published in Recent Trends in Sensor Research & Technology · Vol. 5, Issue 3, 2018 · pp. 19–26 Read article
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Integrated, Geospatial Risk Assessment of Air, Water, and Soil Pollution Impacts on Agricultural Sustainability using Advanced Digital Technologies
Abstract: The systemic threat posed by the convergence of air, water, and soil contaminants represents a critical challenge to global agricultural resilience and food security. Traditional, site-specific pollutant monitoring methods are insufficient for capturing the dynamic, diffuse, and often nonlinear nature of environmental risk pathways that permeate agrarian landscapes. This study presents a robust framework for comprehensive risk assessment utilizing a synergistic suite of modern tools designed for spatial, temporal, and …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 3, Issue 2, 2025 · pp. 28–37 Read article
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Network Intrusion Detection System using Machine Learning and Deep Learning Approach
Abstract: Networks play a significant part in today’s world; fast internet and communication industries result in vast network size and data expansion. Furthermore, attackers aiming to launch various cyberattacks inside the system cannot be neglected. An IDS keeps track of the network’s software and hardware security to preserve its privacy, integrity, and accessibility. Despite the significant efforts of the researchers, current IDS continue to confront challenges in terms of accuracy rate, …
Published in Journal Of Network security · Vol. 10, Issue 1, 2022 · pp. 7–34 Read article
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Cloud-based Application Development and Optimization
Abstract: As cloud computing powers today’s applications, optimizing cloud-based development is crucial to achieve performance, cost effectiveness, and scalability. This research focuses on enhancing the design, deployment, and maintenance of cloud applications, tackling challenges in resource management, scalability, and resilience. We specifically explore dynamic resource allocation algorithms that use predictive analytics for auto-scaling based on workload variations, aiming to cut costs while preserving high performance. The study also investigates cross-cloud optimization …
Published in Journal of Open Source Developments · Vol. 12, Issue 1, 2025 · pp. 37–42 Read article