Search Results - (( iot applications security algorithm ) OR ( its application using algorithm ))*

Extended RECTANGLE Algorithm Using 3D Bit Rotation to Propose a New Lightweight Block Cipher for IoT by Zakaria, Abdul Alif, Azni, A. H., Ridzuan, Farida, Zakaria, Nur Hafiza, Daud, Maslina

Secure Hybrid Scheme For Securing Mqtt Protocol Based On Enhanced Symmetric Algorithm by Hintaw, Ahmed Jameel

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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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Security analysis of data transmission in an IoT based platform for telemedicine by Olanrewaju, Rashidah Funke, Amuda, Idowu Rahaman, Hassan Abdalla Hashim, Aisha

“…The sharing of confidential personal data such as medical data continues to take place regularly across the globe; it is therefore crucial to protect data from unauthorized access by adversaries. One of the algorithms that is commonly used due to its exemplary security and use in extensive applications is the advanced encryption standard (AES) algorithm. …”
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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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Authentication-chains: blockchain-inspired lightweight authentication protocol for IoT networks by Al Ahmed, Mahmoud Tayseer, Hashim, Fazirulhisyam, Hashim, Shaiful Jahari, Abdullah, Azizol

“…The current security model in IoT networks uses centralized key exchange servers that present a security weak point. …”
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The Rise of Blockchain Internet of Things (BIoT): Secured, Device-to-Device Architecture and Simulation Scenarios by Arun Rana, Sharad Sharma, Kashif Nisar, Ag. Asri Ag. Ibrahim, Sachin Dhawan, Bhawani Chowdhry, Samreen Hussain, Nitin Goyal

“…This paper will help readers and researchers understand the IoT and its applicability to the real world.…”
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An immune-genetic algorithm with tabu local search for network intrusion detection system / Hamizan Suhaimi by Suhaimi, Hamizan

“…Internet provides almost unlimited connection nowadays and it is widely used in our daily life such as in industrial, IoT and consumer applications. …”
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An analysis of the AAḃ asymmetric encryption scheme on embedded devices for IoT environment / Syed Farid Syed Adnan by Syed Adnan, Syed Farid

“…It is also not known how the algorithm would perform against the widely used RSA on resource-constrained platforms. …”
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Resource-Efficient Coverage Path Planning for UAV-Based Aerial IoT Gateway by Nurul Saliha A. Ibrahim, Nurul Saliha A. Ibrahim, Faiz A. Saparudin, Faiz A. Saparudin

“…As a result, the Energy Efficient Coverage Path Planning (EECPP) algorithm has been proposed. The EECPP is composed of two algorithms: the Stop Point Prediction Algorithm using K-Means, and Path Planning Algorithm using Particle Swarm Optimization. …”
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A lightweight and secure algorithm of elliptic curve cryptography scalar multiplication using Q-NAF method in Lopez-Dahab coordinate by Abdulraheem, Waleed Khalid Amin

“…To conform to the application requirements of the IoT, the new algorithm improves w-NAF, where w=4. …”
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Game theoretic approach for exhaustive tactical modelling of node misbehavior in adhoc networking based IOT paradigm/P-RIGS18-020-0020 by Olanrewaju, Rashidah Funke Olanrewaju, Anwar, Farhat, Khan, Burhan Ul Islam

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Adaptive security architecture for protecting RESTful web services in enterprise computing environment by Beer, M.I., Hassan, M.F.

“…A novel security component named â��intelligent security engineâ�� is introduced which learns the possible occurrences of security threats on SOA using artificial neural networks learning algorithms, then it predicts the potential attacks on SOA based on obtained results by the developed theoretical security model, and the written algorithms as part of security solution prevent the SOA attacks. …”
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Adaptive security architecture for protecting RESTful web services in enterprise computing environment by Beer, M.I., Hassan, M.F.

“…A novel security component named â��intelligent security engineâ�� is introduced which learns the possible occurrences of security threats on SOA using artificial neural networks learning algorithms, then it predicts the potential attacks on SOA based on obtained results by the developed theoretical security model, and the written algorithms as part of security solution prevent the SOA attacks. …”
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Home intruder detection system using machine learning and IoT by Sahlan, Fadhluddin, Feizal, Faeez Zimam, Mansor, Hafizah

“…The main objectives of HIDES are to create a reliable home security system with the implementation of IoT, to implement the object detection algorithm to determine the presence of humans, and to develop a smart mobile application for users to monitor their houses from anywhere in the world and be alerted if any threats are detected. …”
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Trust-aware authentication and authorization for IoT: a federated machine learning approach by Ahmed, Kazi Istiaque, Tahir, Mohammad, Lau, Sian Lun, Habaebi, Mohamed Hadi, Ahad, Abdul, Mughees, Amna

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'Chapter 7: Smartphone penetration test: Securing Industry 5.0 mobile applications' in "1st Edition, The Future of Human-Computer Integration Industry 5.0 Technology, Tools, and Al... by Eka Wahyu, Aditya, Nur Haryani, Zakaria, Fazli, Azzali, Mohamad Nazim, Jambli

“…The Future of Human-Computer Integration: Industry 5.0 Technology, Tools, and Algorithms provides a valuable insight into how Industry 5.0 technologies, tools, and algorithms can revolutionise industries and drive innovation. …”
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Securing IoT networks using machine learning-resistant physical unclonable functions (PUFs) on edge devices by Sheikh, Abdul Manan, Islam, Md. Rafiqul, Habaebi, Mohamed Hadi, Zabidi, Suriza Ahmad, Najeeb, Athaur Rahman, Baloch, Mazhar

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SELAMAT: a new secure and lightweight multi-factor authentication scheme for cross-platform industrial IoT systems by Khalid, Haqi, Hashim, Shaiful Jahari, Syed Ahmad Abdul Rahman, Sharifah Mumtazah, Hashim, Fazirulhisyam, Chaudhary, Muhammad Akmal

“…The scheme was tested for its security analysis using the formal security verification under the widely accepted AVISPA tool. …”
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Hyperparameter tuned deep learning enabled intrusion detection on internet of everything environment by Ahmed Hamza, Manar, Hassan Abdalla Hashim, Aisha, G. Mohamed, Heba, S. Alotaibi, Saud, Mahgoub, Hany, S. Mehanna, Amal, Motwakel, Abdelwahed

“…Here, the novelty of the work is the application of MVO algorithm in fine-turning the hyperparameters involved in BiGRU model. …”
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