Results 41 to 50 of about 773 (179)

Deep Reinforcement Learning and IoT for Renewable Energy Optimization in Smart Buildings: A Comprehensive Review

IET Generation, Transmission &Distribution, Volume 20, Issue 1, January/December 2026.
This paper presents a comprehensive review of Internet of Things (IoT)‐deep reinforcement learning (DRL) integration for smart building energy management, with an emphasis on addressing renewable energy variability, real‐time decision‐making and interoperability challenges.
Tehseen Mazhar, Sghaier Guizani, Habib Hamam   +2 more
wiley   +1 more source

Zero Trust Architecture for Electric Transportation Systems: A Systematic Survey and Deep Learning Framework for Replay Attack Detection

IEEE Open Journal of Vehicular Technology
Modern and autonomous hybrid electric vehicles (HEVs), as complex cyber-physical systems, represent a key innovation in the future of transportation. However, the increasing interconnectivity and reliance on digital components expose these vehicles to ...
Grace Muriithi, Behnaz Papari, Ali Arsalan, Laxman Timilsina, Alex Muriithi, Elutunji Buraimoh, Asif Khan, Gokhan Ozkan, Christopher Edrington, Akram Papari   +9 more
doaj   +1 more source

Security Challenges and Solutions in Self‐Driving Vehicles: A Comprehensive Review

IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
This article presents a comprehensive review of cybersecurity challenges and solutions in self‐driving vehicles, focusing on threats across vehicular communication, sensors, artificial intelligence (AI) systems, and data privacy. It categorises attacks based on autonomous vehicle architecture layers and highlights advanced countermeasures such as AI ...
Yaw Opoku Mensah Sekyere, Priscilla Ajiboye Oyelandun, Francis Boafo Effah   +2 more
wiley   +1 more source

Enhancing Security and Privacy in IoT Data Streams: Real-Time Anomaly Detection for Threat Mitigation in Traffic Management

Computer Sciences & Mathematics Forum
The rapid expansion of IoT in smart cities has improved traffic management but increased security risks. Traditional IDS struggle with advanced threats, prompting adaptive solutions.
Oumayma Berraadi, Hicham Gibet Tani, Mohamed Ben Ahmed   +2 more
doaj   +1 more source

Artificial Intelligence Applications in Smart Cities: Integrating Communication, Energy Management, Cybersecurity and Internet of Things

The Journal of Engineering, Volume 2026, Issue 1, January/December 2026.
ABSTRACT Smart cities represent transformative urban ecosystems, leveraging advanced technologies to address challenges posed by rapid urbanisation, energy efficiency demands, and sustainability goals. Despite extensive research, a comprehensive and integrated literature analysis combining AI‐based communication, energy management, cybersecurity, and ...
Maaz Tahir Malik, Hafiz Abdul Muqeet, Rizwan Akram, Hafiz Muhammad Obaid, Atiq ur Rehman, Amine Bermak   +5 more
wiley   +1 more source

Evaluating the Effectiveness of Zero Trust Architecture in Modern Enterprises. Moderating Role of Organisational Maturity [PDF]

The study evaluated the performance of Zero Trust Architecture (ZTA) in modern enterprises, particularly focusing on organisational maturity as a moderator.
Sarfaraz, Talha
core   +2 more sources

Guardians of the Network: An Ensemble Learning Framework With Adversarial Alignment for Evasive Cyber Threat Detection

Engineering Reports, Volume 7, Issue 10, October 2025.
Machine learning‐enhanced NIDS, integrating diverse data sources and rigorous feature selection, achieves near‐perfect detection of sophisticated evasive cyber threats—including APTs, DDoS, zero‐day exploits, and MitM attacks—surpassing industry benchmarks in accuracy, precision, recall, and F1$$ {\mathrm{F}}_1 $$‐score. ABSTRACT Advanced cyber threats
Khandakar Md Shafin, G. M. Abdullah Al Kafi, Saha Reno   +2 more
wiley   +1 more source

Cybersecurity Access Control: Framework Analysis in a Healthcare Institution

Journal of Cybersecurity and Privacy
Cyber threats are continually evolving and becoming increasingly complex, affecting various industries. Healthcare institutions are the second most targeted industry, preceded by manufacturing.
Erik William Tomlinson, Wolday D. Abrha, Seong Dae Kim, Salvador A. Ortega   +3 more
doaj   +1 more source

Breast Cancer: Molecular Pathogenesis and Targeted Therapy

MedComm, Volume 6, Issue 10, October 2025.
Dysregulation signaling pathways in various breast cancer subtypes and their targeting using different inhibitors. ABSTRACT Breast cancer (BC) is the most prevalent cancer in women and remains the leading cause of cancer‐related mortality globally.
Md Abdus Samad, Iftikhar Ahmad, Mohammad Rashid Khan, Mohd Suhail, Torki A. Zughaibi, Fahad A. Al‐Abbasi, Khaled A. Alhosaini, Mohd Shahnawaz Khan, Ajoy Kumer, Shams Tabrez   +9 more
wiley   +1 more source

A GenAI-Driven Zero-Trust Cybersecurity Mesh for Real-Time Fraud Detection in Digital Payment Networks

Journal of Advanced Computing Systems
The rapid expansion of digital payment ecosystems has significantly increased the complexity and scale of financial fraud. Traditional centralized fraud detection engines struggle to provide real-time, context-aware risk assessment across distributed ...
Utham Kumar Anugula Sethupathy, Vijayanand Ananthanarayanan   +1 more
doaj   +1 more source