Search Results - (( its application cloud algorithm ) OR ( iot applications clustering algorithm ))*

Efficient tag grouping RFID anti-collision algorithm for internet of things applications based on improved k-means clustering by Umelo, Nnamdi Henry, Noordin, Nor Kamariah, A. Rasid, Mohd Fadlee, Tan, Kim Geok, Hashim, Fazirulhisyam

“…But in dense IoT applications, much more than two tags can constitute a collision slot. …”
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Authentication-chains: blockchain-inspired lightweight authentication protocol for IoT networks by Al Ahmed, Mahmoud Tayseer, Hashim, Fazirulhisyam, Hashim, Shaiful Jahari, Abdullah, Azizol

“…Internet of Things networks (IoT) are becoming very important in industrial, medical, and commercial applications. …”
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Blockchain based security framework for device authentication and data communication in decentralized IoT network by Alahmed, Mahmoud Tayseer

“…In light of the aforementioned issues, this thesis presents a lightweight, scalable, and secure authentication framework for IoT networks based on blockchain technology. First, this thesis proposes a clustering algorithm for IoT devices based on the device energy residues, the device location relative to other devices in the network, and the device computational ability. …”
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A Review on Attack Graph Analysis for IoT Vulnerability Assessment: Challenges, Open Issues, and Future Directions by Almazrouei O.S.M.B.H., Magalingam P., Hasan M.K., Shanmugam M.

“…In this review, core modeling techniques for IoT vulnerability assessment are highlighted, such as Markov Decision Processes (MDP), Feature Pyramid Networks (FPN), K-means clustering, and logistic regression models, along with other techniques involving genetic algorithms like fast-forward (FF), contingent fast-forwards (CFF), advanced reinforcement-learning algorithms, and HARMs models. …”

Improved K-means clustering and adaptive distance threshold for energy reduction in WSN-IoTs by Azamuddin, Ab Rahman, Hamim, Sakib Iqram

“…This study introduces an enhanced energy aware clustering approach that combines an improved K-Means algorithm with an adaptive distance threshold to optimize relay node selection and cluster formation. …”
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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

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Adaptive grid-meshed-buffer clustering algorithm for outlier detection in evolving data stream by Abdulateef, Alaa Fareed

“…The AGMB algorithm is built upon three algorithms: 1) Grid-Multi-Buffer Stream Clustering (GMBSC), 2) Cautious Grid-Multi-Buffer Stream Clustering (C-GMBSC) and 3) Adaptive-Grid-Multi-Buffer Stream Clustering (A-GMBSC). …”
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Cloud Worm Detection and Response Technique By Integrating The Enhanced Genetic Algorithm An Threat Level by Hasan Mahmoud Sha'ban Kanaker

Analysis of Chinese patents associated with incremental clustering algorithms: A review / Archana Chaudhari by Chaudhari, Archana, Mulay, Preeti, Kumar Tiwari, Amit

“…To achieve learning from such dynamic data sources, incremental clustering algorithms are used mandatorily. This mandate has given rise to increased patents related to incremental clustering concept, which is primarily a significant part of Machine Learning field. …”
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A Penalty-Based Genetic Algorithm For The Composite Saas Placement Problem In The Cloud by Mohd Yusoh, Zeratul Izzah, Tong, Maolin

“…Cloud computing is a latest new computing paradigm where applications, data and IT services, are provided over the Internet. …”
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Two objectives big data task scheduling using swarm intelligence in cloud computing by Diallo, Laouratou, Hassan Abdalla Hashim, Aisha, Olanrewaju, Rashidah Funke, Islam, Shayla, Zarir, Abdullah Ahmad

“…Although many scheduling algorithms have been implemented for cloud computing, it has been realized that most of the applications nowadays require different objectives that simple scheduling algorithms fail to achieve. …”
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Impatient job scheduling under cloud computing by Mahdi, Nawfal A.

“…The first part focuses on review- ing the previous immediate mode scheduling and adopting them on cloud paradigm. The limitations of those algorithms were addressed and this leads to the proposition of an algorithm that has the ability to map the impatient jobs to virtual machines near its input, output, application, or forth party. …”
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Lightweight ontology architecture for QoS aware service discovery and semantic CoAP data management in heterogeneous IoT environment by Sukhavasi, Suman, Perumal, Thinagaran, Mustapha, Norwati, Yaakob, Razali

“…The architecture employs Modified-Ordered Points to Identify the Clustering Structure (M-OPTICS) to cluster and eliminate redundant IoT data. …”
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Task scheduling in cloud computing environment using hybrid genetic algorithm and bat algorithm by Muhammad Syahril Mohamad Sainal

“…Genetic algorithm was widely used because of its accuracy and simplicity. …”
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Simulated annealing approach to cost-based multi- quality of service job scheduling in cloud computing enviroment by Abdullah, Monir, Othman, Mohamed

“…The advent of cloud computing as a new model of service provisioning in distributed systems, encourages researchers to investigate its benefits and drawbacks in executing scientific applications such as workflows. …”
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Task scheduling in cloud computing using hybrid genetic algorithm and bald eagle search (GA-BES) by Kamal Khairi Supaprhman

“…The genetic algorithm was widely used because of its accuracy and simplicity. …”
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Energy and performance efficient resource allocation for cloud-based data centers by Akhter, Nasrin

“…The underlying concept of cloud computing isthe separation of applications from the operating systems and the hardware on which they run. …”
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Improving Network Consistency and Data Availability Using Fuzzy C Mean Clustering Algorithm in Wireless Sensor Networks by Mujahid Tabassum

Implementing Location-Based Cryptography on Mobile Application Design to Secure Data in Cloud Storage by Shamsuddin N.S.M., Sakinah Ali Pitchay

Performance evaluation of task scheduling using hybrid meta-heuristic in heterogeneous cloud environment by A. Saif, Faten, Derahman, Mohd Noor, Alwan, Ali Amer, Latip, Rohaya

“…Task scheduling is one of the significant function in the cloud computing environment which plays a vital role to sustain the performance of the system and improve its efficiency. …”
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