Results 111 to 120 of about 61,508 (265)

AI‐Powered Anomaly Detection for Secure Internet of Things (IoT): Optimising XGBoost and Deep Learning With Bayesian Optimisation

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Intelligent and adaptive defence systems that can quickly thwart changing cyberthreats are becoming more and more necessary in the dynamic and data‐intensive Internet of things (IoT) environment. Using the NSL‐KDD benchmark dataset, this paper presents an improved anomaly detection system that combines an optimised sequential neural network ...
Seong‐O Shim, Lal Hussain, Mohammed A. Alqarni, Faisal S. Alsubaei, Rasha Jamal Atwah   +4 more
wiley   +1 more source

Novel cyber-physical collaborative detection and localization method against dynamic load altering attacks in smart energy grids

Global Energy Interconnection
Owing to the integration of energy digitization and artificial intelligence technology, smart energy grids can realize the stable, efficient and clean operation of power systems.
Xinyu Wang, Xiangjie Wang, Xiaoyuan Luo, Xinping Guan, Shuzheng Wang   +4 more
doaj   +1 more source

Extreme learning machine and bayesian optimization-driven intelligent framework for IoMT cyber-attack detection. [PDF]

J Supercomput, 2022
Nayak J, Meher SK, Souri A, Naik B, Vimal S.   +4 more
europepmc   +1 more source

A Review of Human–AI Synergy in Smart Energy Management Concepts, Functions, Applications, and Future Frontiers

Energy Internet, EarlyView.
ABSTRACT Smart energy management systems (EMS) are entering a phase of rapid transformation. Artificial intelligence (AI)—including machine learning (ML), deep learning (DL), and reinforcement learning (RL)—has become the computational backbone for real‐time forecasting, scheduling, and control of renewable‐rich power systems.
Sihai An, Jing Qiu, Jiafeng Lin, Zhe Yuan, Weiyi Tian, Zongyu Yao   +5 more
wiley   +1 more source

Understanding the Autonomous Electric Vehicle Cyber Threat Landscape: A Focus on Infrastructure, Threats and Ontology‐Based Modelling

Energy Internet, EarlyView.
ABSTRACT The development of autonomous electric vehicles (AEVs) represents the convergence of two simultaneous automotive revolutions: electric vehicles (EVs) and autonomous vehicles (AVs). AVs require sensors, decision‐making systems and actuation systems to achieve autonomous driving, whereas EVs require intelligent management and real‐time ...
Ohud Alsadi, Abdulrahman Almijlad, Trinadh Pamulapati, Rajiv Ranjan, Devki Jha, Tejal Shah   +5 more
wiley   +1 more source

ADS-B Crowd-Sensor Network and Two-Step Kalman Filter for GNSS and ADS-B Cyber-Attack Detection. [PDF]

Sensors (Basel), 2021
Leonardi M, Sirbu G.
europepmc   +1 more source

IoT Botnet Cyber Attack Detection

IJARCCE, 2023
Kajal Sawant, Prajakta Jadhav, Shraddha Shirsath, Shubhangi Dhumal   +3 more
openaire   +1 more source

Multiterminal High‐Voltage Direct Current Projects: A Comprehensive Assessment and Future Prospects

High Voltage, EarlyView.
ABSTRACT Multiterminal high‐voltage direct current (MT‐HVDC) systems are an important part of modern power systems, addressing the need for bulk power delivery and efficient renewable energy integration. This paper provides a comprehensive overview of recent advances in MT‐HVDC technology, including launched projects and ongoing initiatives.
Mohammad Hossein Mousavi, Hassan Moradi, Kumars Rouzbehi, Vijay K. Sood   +3 more
wiley   +1 more source

A Systematic Analysis of Enhancing Cyber Security Using Deep Learning for Cyber Physical Systems

IEEE Access
In this current era, cyber-physical systems (CPSs) have gained concentrated consideration in various fields because of their emergent applications. Though the robust dependence on communication networks creates cyber-physical systems susceptible to ...
Shivani Gaba, Ishan Budhiraja, Vimal Kumar, Sheshikala Martha, Jebreel Khurmi, Akansha Singh, Krishna Kant Singh, S. S. Askar, Mohamed Abouhawwash   +8 more
doaj   +1 more source

Internal physiological drivers of leaf development in trees: Understanding the relationship between non‐structural carbohydrates and leaf phenology

Functional Ecology, EarlyView.
Read the free Plain Language Summary for this article on the Journal blog. Abstract Plant phenology is crucial for understanding plant growth and climate feedback. It affects canopy structure, surface albedo, and carbon and water fluxes. While the influence of environmental factors on phenology is well‐documented, the role of plant intrinsic factors ...
Yunpeng Luo, Constantin Zohner, Thomas W. Crowther, Jianlan Feng, Günter Hoch, Peng Li, Andrew D. Richardson, Yann Vitasse, Arthur Gessler   +8 more
wiley   +1 more source