Results 41 to 50 of about 45,445 (284)

A Deviation-Based Detection Method Against False Data Injection Attacks in Smart Grid

IEEE Access, 2021
State estimation plays a vital role to ensure safe and reliable operations in smart grid. Intelligent attackers can carefully design a destructive and stealthy false data injection attack (FDIA) sequence such that commonly used weighted least squares ...
Chao Pei, Yang Xiao, Wei Liang, Xiaojia Han   +3 more
doaj   +1 more source

A Novel Diagnosis Scheme against Collusive False Data Injection Attack

Sensors, 2023
The collusive false data injection attack (CFDIA) is a false data injection attack (FIDA), in which false data are injected in a coordinated manner into some adjacent pairs of captured nodes of an attacked wireless sensor network (WSN). As a result, the defense of WSN against a CFDIA is much more difficult than defense against ordinary FDIA. This paper
Jiamin Hu, Xiaofan Yang, Luxing Yang
openaire   +3 more sources

False Data Injection Attacks on Phasor Measurements That Bypass Low-rank Decomposition

, 2017
This paper studies the vulnerability of phasor measurement units (PMUs) to false data injection (FDI) attacks. Prior work demonstrated that unobservable FDI attacks that can bypass traditional bad data detectors based on measurement residuals can be ...
Chu, Zhigang, Kosut, Oliver, Sankar, Lalitha, Zhang, Jiazi   +3 more
core   +1 more source

Intelligent data attacks against power systems using incomplete network information: a review

Journal of Modern Power Systems and Clean Energy, 2018
With the integration of information technologies, power system operations are increasingly threatened by cyber-attacks. It has even been revealed that an attacker can inject false data into real-time measurements stealthily without knowing the full ...
Yufei SONG, Xuan LIU, Zhiyi LI, Mohammad SHAHIDEHPOUR, Zuyi LI   +4 more
doaj   +1 more source

Applying an Ethical Lens to the Treatment of People With Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT The practice of neurology requires an understanding of clinical ethics for decision‐making. In multiple sclerosis (MS) care, there are a wide range of ethical considerations that may arise. These involve shared decision‐making around selection of a disease‐modifying therapy (DMT), risks and benefits of well‐studied medications in comparison to
Methma Udawatta, Farrah J. Mateen
wiley   +1 more source

Preferences for post‐traumatic osteoarthritis prevention strategies in individuals with anterior cruciate ligament injury

Arthritis Care &Research, Accepted Article.
Objectives There is growing interest in evaluating new strategies to delay or prevent post‐traumatic osteoarthritis (PTOA) in individuals who have sustained anterior cruciate ligament (ACL) injury. This study sought to determine characteristics of potential treatments that are acceptable to patients with ACL injury.
Kevin Kennedy, Lily Waddell, Adam Easterbrook, Jeffrey N. Katz, Cale Jacobs, Morgan Jones, Faith Selzer, Elena Losina, Liana Fraenkel, Nick Bansback   +9 more
wiley   +1 more source

HYBRID INTRUSION DETECTION SYSTEM USING FUZZY LOGIC INFERENCE ENGINE FOR SQL INJECTION ATTACK

Jurnal Ilmiah Kursor: Menuju Solusi Teknologi Informasi, 2018
SQL injection attacks toward web application increasingly prevalent. Testing to the web that will published is the one of preventive measures. However, this method sometimes ineffective because constrained by various things. Instrusion detection system (
Rajif Agung Yunmar
doaj   +1 more source

Detection-based active defense of biased injection attack based on robust adaptive controller

Internet of Things and Cyber-Physical Systems, 2023
As the promising technology, the cooperative cyber-physical system can enhance the operating efficiency and reliability of smart grids. Meanwhile, the characteristics that deep integration of cyber-physical system can make smart grid face new security ...
Xinyu Wang, Xiangjie Wang, Mingyue Zhang, Shuzheng Wang   +3 more
doaj   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source

Efficient detection of false data injection attack with invertible automatic encoder and long-short-term memory

IET Cyber-Physical Systems, 2019
The false data injection attack can tamper with the measurement information collected by the Supervisory Control and Data Acquisition, threat the security of state estimation. Therefore, the analysing methods and detection methods of false data injection
Yuancheng Li, Wendan Huo, Rixuan Qiu, Jing Zeng   +3 more
doaj   +1 more source