Network and cybersecurity applications of defense in adversarial attacks: A state-of-the-art using machine learning and deep learning methods
YL Khaleel, MA Habeeb, AS Albahri… - Journal of Intelligent …, 2024 - degruyter.com
This study aims to perform a thorough systematic review investigating and synthesizing
existing research on defense strategies and methodologies in adversarial attacks using …
existing research on defense strategies and methodologies in adversarial attacks using …
Introduction to Wi-Fi 7: A Review of History, Applications, Challenges, Economical Impact and Research Development
Wi-Fi 7, commonly referred to as IEEE 802.11 be, is the most recent development in wireless
communication technology. It provides significant improvements in terms of speed, capacity …
communication technology. It provides significant improvements in terms of speed, capacity …
Explainable Machine Learning for Real-Time Payment Fraud Detection: Building Trustworthy Models to Protect Financial Transactions
AAJ Al-hchaimi, MF Alomari, YR Muhsen… - … on Explainable Artificial …, 2024 - Springer
In this study, we introduce an advanced machine learning model integrated with explainable
AI techniques to enhance the detection of payment fraud in real-time scenarios within the …
AI techniques to enhance the detection of payment fraud in real-time scenarios within the …
Carbon taxes and emission trading systems: which one is more effective in reducing carbon emissions?—a meta-analysis
The effectiveness of carbon-pricing policies, specifically carbon taxes and emissions-trading
systems (ETSs), in reducing carbon emissions remains a subject of debate, with mixed …
systems (ETSs), in reducing carbon emissions remains a subject of debate, with mixed …
Optimizing Energy and QoS in VANETs through Approximate Computation on Heterogeneous MPSoC
AAJ Al-Hchaimi, AHM Alaidi… - … on Emerging Smart …, 2024 - ieeexplore.ieee.org
This paper proposes a new algorithm called Dynamic Optimization of Energy and QoS in
VANETs (DOEQ-VANET), designed to maximize the energy efficiency and Quality of Service …
VANETs (DOEQ-VANET), designed to maximize the energy efficiency and Quality of Service …
Controller placement issue in software-defined networks with different goals: a comprehensive survey
H Mojez, H Kamel, R Zanjani, AM Bidgoli - The Journal of …, 2024 - Springer
Controller placement issue (CPI) in software-defined networks (SDNs) describes the
controllers' number, location, and assigning of forwarding devices to controllers. Recently …
controllers' number, location, and assigning of forwarding devices to controllers. Recently …
Global semantics correlation transmitting and learning for sketch-based cross-domain visual retrieval
S Jiao, X Han, L Kuang, F Xiong, L He - Complex & Intelligent Systems, 2024 - Springer
Sketch-based cross-domain visual data retrieval is the process of searching for images or
3D models using sketches as input. Achieving feature alignment is a significantly …
3D models using sketches as input. Achieving feature alignment is a significantly …
[HTML][HTML] Performance and energy evaluation of dynamic adaptive deterministic routing algorithm for multicore architectures
Abstract Chip Multiprocessors (CMPs) leverage multiple processing units to improve
computational speed and efficiency. Routing algorithms in NoC (Network-on-Chip) …
computational speed and efficiency. Routing algorithms in NoC (Network-on-Chip) …
Attack and anomaly prediction in networks-on-chip of multiprocessor system-on-chip-based IoT utilizing machine learning approaches
MS Hathal, BM Saeed, DA Abdulqader… - … Oriented Computing and …, 2024 - Springer
The proliferation of multiprocessor system-on-chip (MPSoC) architectures within the Internet
of Things (IoT) has introduced notable security challenges. These architectures' distributed …
of Things (IoT) has introduced notable security challenges. These architectures' distributed …
Leveraging machine learning for enhanced cybersecurity: an intrusion detection system
WM Sahib, ZAA Alhuseen, IDI Saeedi… - … Oriented Computing and …, 2024 - Springer
Classification remains vital in cybersecurity since different data require different protection
measures against threats. This paper compares the Decision Tree, K-Nearest Neighbor …
measures against threats. This paper compares the Decision Tree, K-Nearest Neighbor …