Search Results - (( using iot detection algorithm ) OR ( java simulation optimization algorithm ))

An efficient attack detection for Intrusion Detection System (IDS) in internet of medical things smart environment with deep learning algorithm by Abdulkareem, Fatimah Saleem, Mohd Sani, Nor Fazlida

“…Therefore, an intrusion detection method for attacking and detecting anomalies in an IoT system must be enhanced. …”
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The need for an enhanced IoT-based malware detection model using artificial intelligence (AI) algorithm: a review by Maidin, Siti Sarah, Yahya, Norzariyah

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Botnet Detection in IoT Devices Using Random Forest Classifier with Independent Component Analysis by Akash, Nazmus Sakib, Rouf, Shakir, Jahan, Sigma, Chowdhury, Amlan, Uddin, Jia

“…This paper represents a model that accounts for the detection of botnets through the use of machine learning algorithms. …”
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Detection of DDoS attacks in IoT networks using machine learning algorithms by Abdulrahman Alwan, Alwan Ahmed, Shah, Asadullah, Abdulrahman Alwan, Alwan Abdullah, Laghari, Shams Ul Arfeen

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Intrusion detection system for the internet of things based on blockchain and multi-agent systems by Liang, Chao, Shanmugam, Bharanidharan, Azam, Sami, Karim, Asif, Islam, Ashraful, Zamani, Mazdak, Kavianpour, Sanaz, Idris, Norbik Bashah

“…The experiment indicates that deep learning algorithms are suitable for intrusion detection in IoT network environment…”
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Home intruder detection system using machine learning and IoT by Sahlan, Fadhluddin, Feizal, Faeez Zimam, Mansor, Hafizah

“…HIDES implements an object detection algorithm; Single-Shot Multibox Detection (SSD) in NVIDIA Jetson Nano to detect intruders through a camera connected to the system. …”
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Autonomous anomaly detection using density-based features in streaming data / Muhammmad Yunus Iqbal Basheer by Iqbal Basheer, Muhammmad Yunus

“…The performance tests are also conducted to assess whether each algorithm can detect most of the true anomalies. The data is supplied using IoT devices, and benchmark datasets are also presented to test the algorithm's performance.…”
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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection by Nwogbaga, Nweso Emmanuel, Latip, Rohaya, Affendey, Lilly Suriani, Abdul Rahiman, Amir Rizaan

“…The simulation is implemented with iFogSim and java programming language. …”
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A study on obstacle detection for IoT based automated guided vehicle (AGV) by Loh, Jit Hao, M. Nafis, O. Z.

“…An AGV prototype is designed for obstacle detection and the performance is analyzed. In order to improve obstacle detection in the AGV prototype, Kalman Filtering (KF) algorithm is used in the signal filtering for the HC-SR04 Ultrasonic Sensor data acquisition. …”
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Application of Simon encryption algorithm for data transmission between sensor nodes in IoT environment by Khalifa, Othman Omran, Ahmed, Muhammed Zaharadeen, Hassan Abdalla Hashim, Aisha

“…This paper presents the design, simulation, and performance measurement of Simon encryption algorithm in IoT environment. Simon algorithm is a lightweight encryption algorithm which suitable for resource constraint environment like IoT devices. …”
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Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing by Husna, Jamal Abdul Nasir

“…Global pheromone update is performed after the completion of processing the jobs in order to reduce the pheromone value of resources. A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against existing grid resource management algorithms such as Antz algorithm, Particle Swarm Optimization algorithm, Space Shared algorithm and Time Shared algorithm, in terms of processing time and resource utilization. …”
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Ant colony optimization algorithm for load balancing in grid computing by Ku-Mahamud, Ku Ruhana, Mohamed Din, Aniza

“…The proposed algorithm is known as the enhance ant colony optimization (EACO). …”
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Two-factor authentication smart entryway using modified LBPH algorithm by Ayop, Zakiah, Othman, Nur Fadzilah, Anawar, Syarulnaziah, Wan Mohamad Rosdi, Wan Mohamad Hariz, Looi, Wei Hua

“…Many face detection models have been developed in smart entryways using IoT. …”
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Hybrid ensemble learning techniques for intrusion detection systems in Internet of Things security by Soni

“…The second technique also utilised XGBoost and LightGBM but focused on a multi-class classification problem using the TON IoT dataset. The final technique aimed to enhance the accuracy achieved in the second technique by addressing imbalanced classes in multi-class intrusion detection for IoT using XGBoost, LightGBM, and the ADASYNMLP approach. …”
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Faulty sensor detection mechanism using multi-variate sensors in IoT by Al-Atrakchii, Khaldoon Ammar

“…The first proposed method is a logical mechanism uses three different types of. The second method proposed is based on a correlation method that can exploit the multi-variable sensor which existing in IoT application. …”
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Internet of Things (IoT) intrusion detection by Machine Learning (ML): a review by Dehkordi, Iman Farhadian, Manochehri, Kooroush, Aghazarian, Vahe

“…For example, it could be used to keep an eye on and regulate industrial services, or it could be used to improve corporate operations. …”
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Towards lowering computational power in IoT systems: Clustering algorithm for high-dimensional data stream using entropy window reduction by Alkawsi G., Al-amri R., Baashar Y., Ghorashi S., Alabdulkreem E., Kiong Tiong S.

Fire alarm system with real-time monitoring and alert system using IOT / Muhammad Habib Shaharuddin by Shaharuddin, Muhammad Habib

“…These sensors collect data continually and use wireless networks to send it to a central IoT hub. …”
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Crytojacking Classification based on Machine Learning Algorithm by Mansor W.N.A.B.W., Ahmad A., Zainudin W.S., Kama M.N., Madihah Mohd Saudi

IoT – eye drowsiness detection system by using Intel Edison with GPS navigation by Rohana, Abdul Karim, Auni Syahirah, Abu Bakar, Goh, Khai Shan, Gan, Lai Ta

“…Technology in digital computer system allows us to create a drowsiness detection sys-tem. Studies for drowsiness detector system has focused on development of computer vision algorithm and lack of Internet of Things (IoT) and notification system, either awake or sleep or might involve in accident, and current location. …”
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