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46 articles for “bot detection”
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Next-Gen Techniques for Bottleneck Detection in High-Performance Computing
Abstract: Modern computing systems face new challenges in bottleneck detection and mitigation due to their increasing complexity which stems from multi-core architectures alongside distributed platforms and real-time processing needs. Traditional methods like hardware profiling and static analysis which used to work well now struggle to keep up with the changing conditions of dynamic system behaviors and diverse computing environments along with variable workload patterns. The current limitations restrict their capability to …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 2, 2025 · pp. 09–14 Read article
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An Eccentric Approach For Spoofing Bother Detection
Abstract: AbstractSpoofing is a special type of network bother where the bother creates a replica of an existing web page to fool users into submitting personal, financial, or password data to what they think is their service provider’s web site. This proposed work is to find a new anti-spoofing algorithm for LGA (link guard) and DSA, which is filtering the spoofing characters in the websites of the hyperlinks in spoofing bothers. …
Published in Journal of Advances in Shell Programming · Vol. 4, Issue 2, 2017 · pp. 5–9 Read article
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An Experimental Approach of Machine Learning Algorithms to Detect Botnet DDoS Attacks
Abstract: Botnets are one of the threats in a network to hamper the quality of the network by disrupting theresources of the network. These Botnets can be controlled remotely by Botmaster. The Machine Learning Algorithms play a major role to detect and control the Botnets that cause to DDoS attacks, malwares and phishing attacks that are vulnerable to network resources. The DDoS attacks are most dangerous malware events that disrupt whole …
Published in Journal Of Network security · Vol. 10, Issue 3, 2022 · pp. 7–14 Read article
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Deep Learning Meets IoT: Hybrid Approaches for Botnet Detection
Abstract: Rapid advancement in the Internet of Things (IoT) changed everything, making it possible for seamless interconnectivity of devices and altering data-driven decision processes. This study delves into the intersection of IoT with deep learning approaches and hybrid approaches for managing botnet in IoT systems, especially security, efficiency, and performance optimization. Leveraging deep learning models, for example, CNNs and RNNs, will help the network achieve more intrusion detection and data analysis. …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 1, 2025 · pp. 18–27 Read article
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Botnet Beacon: Unveiling Covert Networks with Advanced AI Detection Strategies
Abstract: Securing information technology systems is paramount in today's interconnected world, where the reliability and security of networks and applications are of utmost importance. In this context, the development of a Botnet Detection System (BDS) that harnesses the power of AI classification algorithms becomes a critical endeavor. The primary objective of this work is to construct a comprehensive framework for a BDS that can efficiently gather network data and subject it …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 12, Issue 2, 2024 · pp. 26–32 Read article
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AI-Resistant Video CAPTCHA System
Abstract: CAPTCHA, which stands for Completely Automated Public Turing test to tell Computers and Humans Apart, is a tool that separates human users from automated bots. It is commonly used in web applications to stop bulk registrations, spam submissions, credential stuffing, and misuse of online services. Typically, CAPTCHAs involve recognizing distorted text, selecting images, or transcribing audio. These tasks are easy for people but challenging for automated programs. However, recent advances …
Published in Journal of Web Engineering & Technology · Vol. 13, Issue 2, 2026 · pp. 1–7 Read article
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Detecting Spambot as Associate Degree Antispam Technique for Net Bulletin Board System
Abstract: Spam is one in every of the foremost widespread and conjointly the most relevant topic that must be understood within the current state of affairs. Everybody whether or not it's going to be a little kid or associate degree senior citizen square measure exploitation emails everyday all round the world. The state of affairs that we have a tendency to square measure seeing is that just about no one is …
Published in Journal of Operating Systems Development & Trends · Vol. 2, Issue 1, 2015 · pp. 25–29 Read article
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E-Dustbin
Abstract: A major problem with our present society is the soild waste management, as it disturbs both the human health and affects the environment. Monitoring of those wastes is one of the major problem of the present. The traditional method of solving this issue is by making use of huge trash cans in public places and ulitizing the role of human scavengers, which is time consuming in nature. This paper proposes …
Published in Journal of Mechatronics and Automation · Vol. 4, Issue 3, 2017 · pp. 1–7 Read article
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Battlefield Sentry-Military Grade Intruder Detection System
Abstract: The invasion of intruders is a huge challenge for the security of any country. It is an enormous task for the security force to monitor huge international borders. Deploying a bot who is technically advanced and smart enough to find an intruder as well as sending an alert message to the department is enough to strengthen the security. This slight change can bring a dramatic difference to the security system. …
Published in Journal of Aerospace Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 1–7 Read article
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Face Detection and Recognition Using MTCNN and FaceNet
Abstract: Face detection and face recognition are major tasks in the field of computer vision with several real-world applications and many products being developed in the same field. This study gives a detailed implementation of the product that is developed for accurate detection and recognition of faces along with audio output of the face detected. This development would act as a base for a few future products that can be developed …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 132–140 Read article
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REVIEW AND ANALYSIS OF AUTOMATIC WATER BOTTLE FILLING AND CAPPING MACHINE USING PLC
Abstract: Filling is an important process of the automatic machine and is used in different industry such as mineral water, beverage, chemical, food and dairy as well as pharmaceuticals. In today's manufacturing environment, with the need for higher production rates, better product quality and less manual effort, industrial automation is becoming a key requirement. The primary goal of this project is to design, develop and control an automatic bottle filling and …
Published in International Journal of Manufacturing and Production Engineering · Vol. 4, Issue 2, 2026 Read article
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Revolutionizing Agriculture: Botani Scan’s Deep Learning for Plant Disease Diagnosis
Abstract: Crop disease detection is of key importance because of its role in food safety but infrastructural issues still hamper diagnosis in most regions worldwide. Accurate plant disease identification is essential to secure food, predicting yield decline and managing epidemic outbursts. The advent of digital cameras along with the progress of computer vision technology brings to light the mounting demands for the development of automated disease detection methods in precision agriculture, …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 1, 2024 Read article
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From Space to Sea: Leveraging Satellite Technology for Monitoring Marine Debris
Abstract: Marine trash endangers ecosystems, so efficient detection is critical. This article describes a novel strategy for improving detection accuracy by integrating YOLOv7 instance segmentation with attention processes. Three models are evaluated: lightweight coordinate attention, the convolutional block attention module (CBAM) for spatial-channel focus, and the bottle neck transformer, which relies on self-attention. On an annotated satellite image dataset, CBAM has the greatest F1 scores in box recognition (77%) and mask …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 14, Issue 1, 2025 · pp. 1–9 Read article
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UNDERGROUND CABLE FAULT DETECTION CAR
Abstract: Abstract:-Underground cables along with additional buried assistance can be identified and examinedusing an apparatus known as a cable detector. This is carried out by passing a signal into the earth andthen receiving it back through an antenna. Utilising the received signal endurance, the exact positionand depth of the underground question are found. In doing mining and construction work, this helpsprevent unintended injuries. There are numerous different types of underground cable …
Published in Trends in Mechanical Engineering & Technology · Vol. 13, Issue 1, 2023 · pp. 17–21 Read article
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Xypher Bot: Autonomous Surveying Robot
Abstract: Xypher Bot is a fully autonomous robot built to carry out tasks like height measurement, estimating distance, and detecting objects. It uses affordable and easily available components such as the MPU6050 sensor, ultrasonic sensors, and a laser pointer. By using simple trigonometry, the bot can measure object height with good accuracy. The top part of the bot, which is responsible for height measurement, has already been built and tested. The …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 3, Issue 2, 2025 · pp. 49–62 Read article
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Radon Estimation in Water of Surrey Region of British Columbia, Canada using LR-115 Type II Nuclear Track Detector
Abstract: Radon activity concentrations were measured in the ocean, swamp and well water samples collected from Surrey region of British Columbia in Canada. The purpose of this study was to compare radon activity in all three sources of water. Water was collected in air tight bottles and stored for 2 weeks before investigation. LR-115 Type II nuclear track detectors of 1.5 cm 2 were used for recording radon alpha tracks. Tracks …
Published in Research and Reviews: A Journal of Toxicology · Vol. 11, Issue 1, 2024 · pp. 7–15 Read article
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Radon Estimation in Some Lakes and Fraser River Water of British Columbia, Canada using LR-115 Type II Alpha Track Detector
Abstract: Radon activity levels were measured in the five Lakes and Fraser River water samples collected from different locations of British Columbia in Canada. The purpose of this study was to compare Radon activity levels in all six sources of water. Water was collected in air tight bottles and stored for two weeks before investigation. LR-115 Type II nuclear track detectors of 1.2 cm2 were used for recording radon alpha tracks. …
Published in Research and Reviews: A Journal of Toxicology Read article
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Radon Estimation in Some Lakes and Fraser River Water of British Columbia, Canada using LR-115 Type II Alpha Track Detector
Abstract: Radon activity levels were measured in the five Lakes and Fraser River water samples collected from different locations of British Columbia in Canada. The purpose of this study was to compare Radon activity levels in all six sources of water. Water was collected in air tight bottles and stored for two weeks before investigation. LR-115 Type II nuclear track detectors of 1.2 cm2 were used for recording radon alpha tracks. …
Published in Research and Reviews: A Journal of Toxicology · Vol. 12, Issue 1, 2022 · pp. 1–8 Read article
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Intelligent Water Distribution Management using IoT
Abstract: Water plays a vital role in agriculture, making its efficient management essential for sustainable crop production. However, undetected leaks in irrigation systems can result in significant water loss, irregular watering of fields, soil degradation, and reduced crop yield. Conventional methods like manual inspection are not only labor-intensive but also ineffective in identifying leaks promptly – emphasizing the need for a smarter and automated approach to water monitoring. To address this …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 1, 2026 · pp. 18–27 Read article
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CEO BOT—Working as a College Enquiry Chatbot by Applying Artificial Algorithms and Making it Rule Based
Abstract: A Chat Bot is a bit of technology that leads a discussion in audio or literary strategies. Such software is frequently intended to depict how a human would carry on as a conversational accompany. The answers to the enquiry of the students are given by this system which is a web application. Conversation can be done by querying the system via bot by the students. As there is no particular …
Published in Journal of Operating Systems Development & Trends · Vol. 8, Issue 2, 2021 · pp. 38–43 Read article