Search Results - (( rate detection ((sensor algorithm) OR (mead algorithm)) ) OR ( _ simulation based algorithm ))
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Cooperative multi agents for intelligent intrusion detection and prevention systems / Shahaboddin Shamshirband
Published 2014“…Later, we investigate the game based-FQL algorithm by combining the game theoretic approach and the fuzzy Q-learning algorithm. …”
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Thesis -
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Detecting sybil attacks in clustered wireless sensor networks based on energy trust system (ETS)
Published 2017“…Then, a trust algorithm is applied based on the energy of each sensor node. …”
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Article -
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Smart fall detection by enhanced SVM with fuzzy logic membership function
Published 2023“…So far, the most widely used fall prediction methods collect data from inertial measurement unit (IMU) sensors. In addition, they use thresholds to identify falls based on artificial experiences or machine learning (ML) algorithms. …”
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Secure and Energy-Efficient Data Aggregation Method Based on an Access Control Model
Published 2019“…Furthermore, the attacks are detected and prevented by utilizing secure node authentication, data fragmentation algorithms, fully homomorphic encryption, and access control model. …”
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Modelling of intelligent intrusion detection system: making a case for snort
Published 2018“…The data collected was used to train the Multilayer Feedforward Neural Network (MLFNN) with Back-propagation (BP) algorithm. This MLFNN with BP algorithm was simulated using MATLAB software. …”
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Proceeding Paper -
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Development of physiological mouse for anxiety disorder identification system
Published 2023“…The detection is being processed based on the measured physiological data that being quantified via the embedded sensors in the mouse circuits. …”
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Conference or Workshop Item -
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An efficient trust-based decision-making approach for WSNs: Machine learning oriented approach
Published 2023“…The proposed machine learning algorithm extracts various trust features such as Co-Location Relationship (CLR), Co-Work Relationship (CWR), Cooperativeness-Frequency-Duration (CFD), and Reward (R) to obtain a robust trust rating of sensor devices and predict future misbehavior. …”
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Efficient node cooperation stimulation mechanism in wireless multihop networks
Published 2017“…Assisted by an efficient cross-checking algorithm on several cheating and colluding cases, TFE mechanism is able to reduce the number of cheating nodes over time and the rate of illegitimate collusion as proven in the simulation results. …”
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Algorithm enhancement for host-based intrusion detection system using discriminant analysis
Published 2004“…Misuse detection algorithms model know attack behavior. They compare sensor data to attack patterns learned from the training data. …”
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Multi-sensor fusion based on multiple classifier systems for human activity identification
Published 2019“…The aim of this study is to propose an innovative multi-sensor fusion framework to improve human activity detection performances and reduce misrecognition rate. …”
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A study on advanced statistical analysis for network anomaly detection
Published 2005“…Misuse detection algorithms model know attack behavior. They compare sensor data to attack patterns learned from the training data. …”
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Monograph -
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DEVELOPMENT OF NODE RELIABILITY DETECTION ALGORITHM FOR WIRELESS SENSOR NETWORKS
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Final Year Project -
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DEVELOPMENT OF NODE RELIABILITY DETECTION ALGORITHM FOR WIRELESS SENSOR NETWORKS
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Final Year Project -
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Forward scattering radar for real-time detection of human activities and fall classification
Published 2019“…They also provide advantages of a very low false alarm rate, and preserving personal privacy. The purpose of using radar is to detect, identify and recognize the moving targets based on the Doppler phenomenon generated from the interaction of the transmitting electromagnetic waves with the moving parts of the target. …”
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Thesis -
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Obstacle detection for Unmanned Aerial Vehicle (UAV)
Published 2022“…In real-time experiment, the success rate for good texture (40%), poor texture (55%) and texture-less (45%) The findings indicate that the recommended method works well for detecting textures-less obstacle even though the success rate is only 40% because out of 10 test only one test is fail on detecting free region. …”
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Safe avoidance path detection using multi sensor integration for small unmanned aerial vehicle
Published 2018“…In this paper, a combination of both sensors based is proposed for a small UAV obstacle detection system. …”
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Proceeding Paper -
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HUMAN MOTION ANALYSIS IN VIDEO SURVEILLANCE SYSTEM
Published 2019“…The effect of video quality on human detection rate is discussed in Chapter 4. In a human detection, the software is represented by algorithms, in which algorithm also being used in the process of training the dataset. …”
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Final Year Project -
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