Search Results - "Moustafa, Nour"

Towards the development of realistic botnet dataset in the Internet of Things for network forensic analytics: Bot-IoT dataset by Koroniotis, Nickolaos, Moustafa, Nour, Sitnikova, Elena, Turnbull, Benjamin

“…The proliferation of IoT systems, has seen them targeted by malicious third parties. To address this challenge, realistic protection and investigation…”
Get full text

OQFL: An Optimized Quantum-Based Federated Learning Framework for Defending Against Adversarial Attacks in Intelligent Transportation Systems by Yamany, Waleed, Moustafa, Nour, Turnbull, Benjamin

“…Intelligent transportation systems, especially Autonomous Vehicles (AVs), are emerging as a paradigm with the potential to change modern society. However, with…”
Get full text

Privacy-preserving big data analytics for cyber-physical systems by Keshk, Marwa, Moustafa, Nour, Sitnikova, Elena, Turnbull, Benjamin

“…Cyber-physical systems (CPS) generate big data collected from combining physical and digital entities, but the challenge of CPS privacy-preservation demands…”
Get full text

A Deep Blockchain Framework-Enabled Collaborative Intrusion Detection for Protecting IoT and Cloud Networks by Alkadi, Osama, Moustafa, Nour, Turnbull, Benjamin, Choo, Kim-Kwang Raymond

“…There has been significant research in incorporating both blockchain and intrusion detection to improve data privacy and detect existing and emerging…”
Get full text

A new network forensic framework based on deep learning for Internet of Things networks: A particle deep framework by Koroniotis, Nickolaos, Moustafa, Nour, Sitnikova, Elena

“…With the prevalence of Internet of Things (IoT) systems, inconspicuous everyday household devices are connected to the Internet, providing automation and…”
Get full text

An Ensemble Intrusion Detection Technique Based on Proposed Statistical Flow Features for Protecting Network Traffic of Internet of Things by Moustafa, Nour, Turnbull, Benjamin, Choo, Kim-Kwang Raymond

“…Internet of Things (IoT) plays an increasingly significant role in our daily activities, connecting physical objects around us into digital services. In other…”
Get full text

Privacy-Preserved Generative Network for Trustworthy Anomaly Detection in Smart Grids: A Federated Semisupervised Approach by Abdel-Basset, Mohamed, Moustafa, Nour, Hawash, Hossam

“…The deep integration of industrial internet of things technologies in the industrial smart grid (ISG) brings many privacy and security attacks, threatening the…”
Get full text

Edge Intelligence: Federated Learning-Based Privacy Protection Framework for Smart Healthcare Systems by Akter, Mahmuda, Moustafa, Nour, Lynar, Timothy, Razzak, Imran

“…Federated learning methods offer secured monitor services and privacy-preserving paradigms to end-users and organisations in the Internet of Things networks…”
Get full text

An Explainable Deep Learning Framework for Resilient Intrusion Detection in IoT-Enabled Transportation Networks by Oseni, Ayodeji, Moustafa, Nour, Creech, Gideon, Sohrabi, Nasrin, Strelzoff, Andrew, Tari, Zahir, Linkov, Igor

“…The security of safety-critical IoT systems, such as the Internet of Vehicles (IoV), has a great interest, focusing on using Intrusion Detection Systems (IDS)…”
Get full text

Privacy-Preserved Cyberattack Detection in Industrial Edge of Things (IEoT): A Blockchain-Orchestrated Federated Learning Approach by Abdel-Basset, Mohamed, Moustafa, Nour, Hawash, Hossam

“…The Industrial Internet ofThings (IIoT) plays an essential role in the digital renovation of conventional industries to Industry 4.0. With the connectivity of…”
Get full text

Explainable Intrusion Detection for Cyber Defences in the Internet of Things: Opportunities and Solutions by Moustafa, Nour, Koroniotis, Nickolaos, Keshk, Marwa, Zomaya, Albert Y., Tari, Zahir

“…The field of Explainable Artificial Intelligence (XAI) has garnered considerable research attention in recent years, aiming to provide interpretability and…”
Get full text

TON_IoT Telemetry Dataset: A New Generation Dataset of IoT and IIoT for Data-Driven Intrusion Detection Systems by Alsaedi, Abdullah, Moustafa, Nour, Tari, Zahir, Mahmood, Abdun, Anwar, Adnan

“…Although the Internet of Things (IoT) can increase efficiency and productivity through intelligent and remote management, it also increases the risk of…”
Get full text

An Enhanced Multi-Stage Deep Learning Framework for Detecting Malicious Activities From Autonomous Vehicles by Khan, Izhar Ahmed, Moustafa, Nour, Pi, Dechang, Haider, Waqas, Li, Bentian, Jolfaei, Alireza

“…Intelligent Transportation Systems (ITS), particularly Autonomous Vehicles (AVs), are susceptible to safety and security concerns that impend people's lives…”
Get full text

Novel Deep Learning-Enabled LSTM Autoencoder Architecture for Discovering Anomalous Events From Intelligent Transportation Systems by Ashraf, Javed, Bakhshi, Asim D., Moustafa, Nour, Khurshid, Hasnat, Javed, Abdullah, Beheshti, Amin

“…Intelligent Transportation Systems (ITS), especially Autonomous Vehicles (AVs), are vulnerable to security and safety issues that threaten the lives of the…”
Get full text

DeepCog: A Trustworthy Deep Learning-Based Human Cognitive Privacy Framework in Industrial Policing by Schiliro, Francesco, Moustafa, Nour, Razzak, Imran, Beheshti, Amin

“…The proliferation of the Internet of Things (IoT) has led to the design and incorporation of innovative user control mechanisms, one category based on…”
Get full text

A Privacy-Preserving-Framework-Based Blockchain and Deep Learning for Protecting Smart Power Networks by Keshk, Marwa, Turnbull, Benjamin, Moustafa, Nour, Vatsalan, Dinusha, Choo, Kim-Kwang Raymond

“…Modern power systems depend on cyber-physical systems to link physical devices and control technologies. A major concern in the implementation of smart power…”
Get full text

Outlier Dirichlet Mixture Mechanism: Adversarial Statistical Learning for Anomaly Detection in the Fog by Moustafa, Nour, Choo, Kim-Kwang Raymond, Radwan, Ibrahim, Camtepe, Seyit

“…Current anomaly detection systems (ADSs) apply statistical and machine learning algorithms to discover zero-day attacks, but such algorithms are vulnerable to…”
Get full text

Swarm Optimization-Based Federated Learning for the Cyber Resilience of Internet of Things Systems Against Adversarial Attacks by Yamany, Waleed, Keshk, Marwa, Moustafa, Nour, Turnbull, Benjamin

“…Federated Learning (FL) is a paradigm of distributed machine learning that enables multiple devices or clients to work together in training a common model…”
Get full text

A Blockchain-Enabled Explainable Federated Learning for Securing Internet-of-Things-Based Social Media 3.0 Networks by Salim, Sara, Turnbull, Benjamin, Moustafa, Nour

“…Social media (SM) 3.0 integrates SM platforms, such as Facebook and Twitter, with the Internet of Things (IoT), and has a great potential to change how we…”
Get full text

Federated Intrusion Detection in Blockchain-Based Smart Transportation Systems by Abdel-Basset, Mohamed, Moustafa, Nour, Hawash, Hossam, Razzak, Imran, Sallam, Karam M., Elkomy, Osama M.

“…With the integration of the Internet of Things (IoT) in the field of transportation, the Internet of Vehicles (IoV) turned to be a vital method for designing…”
Get full text