Results 91 to 100 of about 141,441 (275)

Ensuring Battery Safety in Electric Vehicles: Challenges, Developments, and Future Perspectives

Small, EarlyView.
This review explores machine learning techniques to predict and mitigate thermal runaway in lithium‐ion batteries. By analyzing failure mechanisms and safety issues, the study develops data‐driven models for early detection. It proposes safety enhancement strategies for battery design and maintenance, offering actionable insights to prevent ...
Oumayma ELJarray, Hongliu Dai, Zhangsen Chen, Subhiksha Venkatesh Raja, Bojia Li, Siyi Cao, Shuhui Sun, Gaixia Zhang   +7 more
wiley   +1 more source

RTAP: A Real-Time Model for Attack Detection and Prediction in Smart Grid Systems

IEEE Access
One main challenge of smart grid systems is the cascading failures caused by cyber-attacks, which can affect the power and communication networks. Many testbeds have been proposed to model the impact of cyber-attacks on these two networks; however, many ...
Ali Salehpour, Irfan Al-Anbagi
doaj   +1 more source

Cyber Attack Detection

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Cyber attack detection is a critical component of modern cybersecurity strategies. With the ever-increasing sophistication of cyber threats the need for robust and efficient detection mechanisms has become paramount. This abstract introduces the concept of cyber attack detection and its significance in safeguarding digital assets.
Prof. Kaustubh Shinde, Sakshi Hadole, Rutuja Sathe, Sakshi Sirgan, Abhijit Thorat   +4 more
openaire   +1 more source

Advanced Hybrid Techniques for Cyberattack Detection and Defense in IoT Networks

SECURITY AND PRIVACY, Volume 8, Issue 2, March/April 2025.
ABSTRACT The Internet of Things (IoT) represents a vast network of devices connected to the Internet, making it easier for users to connect to modern technology. However, the complexity of these networks and the large volume of data pose significant challenges in protecting them from persistent cyberattacks, such as distributed denial‐of‐service (DDoS)
Zaed S. Mahdi, Rana M. Zaki, Laith Alzubaidi   +2 more
wiley   +1 more source

Unveiling Regional Disparities: Exploring Cybersecurity Capabilities and Performance Through Systems Theory Approach

Systems Research and Behavioral Science, EarlyView.
ABSTRACT This study investigates the relationship between cybersecurity capabilities (CCs) and cybersecurity performance (CP) across diverse regional contexts, employing ordinary least squares (OLS) and random forest (RF) regression models. The research highlights how economic, political and cultural factors shape CCs and their impact on CP ...
Angélica Pigola, Priscila Rezende da Costa, Fernando de Souza Meirelles   +2 more
wiley   +1 more source

Mission Aware Cyber‐Physical Security

Systems Engineering, EarlyView.
ABSTRACT Perimeter cybersecurity, while essential, has proven insufficient against sophisticated, coordinated, and cyber‐physical attacks. In contrast, mission‐centric cybersecurity emphasizes finding evidence of attack impact on mission success, allowing for targeted resource allocation to mitigate vulnerabilities and protect critical assets.
Georgios Bakirtzis, Bryan Carter, Cody H. Fleming, Carl R. Elks   +3 more
wiley   +1 more source

A Systems Engineering Methodology for System of Autonomous Systems: Test and Evaluation

Systems Engineering, EarlyView.
ABSTRACT Recent advances in artificial intelligence and machine learning (AI/ML) have resulted in autonomous systems that reduce operators' workload and involvement in hazardous missions. Integrating these systems into an existing system of systems (SoS) can evolve it into a system of autonomous system (SoAS).
Mohammadreza Torkjazi, Ali K. Raz
wiley   +1 more source

Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha, Mohammad Kamrul Hasan, Shayla Islam, Shailesh Khapre, Salwani Abdullah, Taher M. Ghazal, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Nguyen Vo, Md Akhtaruzzaman   +9 more
wiley   +1 more source

Graph neural network‐based attack prediction for communication‐based train control systems

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract The Advanced Persistent Threats (APTs) have emerged as one of the key security challenges to industrial control systems. APTs are complex multi‐step attacks, and they are naturally diverse and complex. Therefore, it is important to comprehend the behaviour of APT attackers and anticipate the upcoming attack actions.
Junyi Zhao, Tao Tang, Bing Bu, Qichang Li   +3 more
wiley   +1 more source

Enabling pandemic‐resilient healthcare: Narrowband Internet of Things and edge intelligence for real‐time monitoring

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract The Internet of Things (IoT) in deploying robotic sprayers for pandemic‐associated disinfection and monitoring has garnered significant attention in recent research. The authors introduce a novel architectural framework designed to interconnect smart monitoring robotic devices within healthcare facilities using narrowband Internet of Things ...
Md Motaharul Islam, Mohammad Kamrul Hasan, Shayla Islam, Mohammed Balfaqih, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Nurhizam Safie, Zaheed Ahmed Bhuiyan, Rahul Thakkar, Taher M. Ghazal   +9 more
wiley   +1 more source