Search · four archives
Search · four archives
20 papers · ranked by Valyu relevance
Wei Xing, Jun Shen, Weizhi Meng
Cyber-physical systems (CPSs), which combine computer science, control systems, and physical elements, have become essential in modern industrial and societal contexts. However, their extensive integration presents increasing security challenges, particularly due to recurring cyber attacks. Therefore, it is crucial to…
Xiulan Song, Xiaoxin Lou, Junwei Zhu, Defeng He
This paper considers the state estimation problem of intelligent connected vehicle systems under the false data injection attack in wireless monitoring networks. We propose a new secure state estimation method to reconstruct the motion states of the connected vehicles equipped with cooperative adaptive cruise control…
Muneer Mohammad
— In this paper a new class of cyber attacks against state estimation in the electric power grid is considered. This class of attacks is named false data injection attacks. We show that with the knowledge of the system configuration an attacker could successfully inject false data into certain state variable while…
Jiamin Hu, Xiaofan Yang, Luxing Yang, Alessandra Rizzardi
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…
Alan Oliveira de Sá, António Casimiro, Raphael C. S. Machado, Luiz F. R. da C. Carmo
'Luiz F. R. da C. Carmo'] The benefits of using Networked Control Systems (NCS) in the growing Industry 4.0 are numerous, including better management and operational capabilities, as well as costs reduction. However, despite these benefits, the use of NCSs can also expose physical plants to new threats originated in…
Yuqi Zhou, Jorge I. Cisneros-Saldana, Le Xie
—In this paper, we propose a class of false analog data injection attack that can misguide the system as if topology errors had occurred. By utilizing the measurement redundancy with respect to the state variables, the adversary who knows the system configuration is shown to be capable of computing the corresponding…
Samia Tasnim, Niki Pissinou, S. Sitharama Iyengar, Kianoosh G. Boroojeni + 2 more
'Kianoosh G. Boroojeni' 'Kishwar Ahmed' 'Klaus Moessner'] The rapid development of mobile sensing technologies (e.g., smart devices embedded with various powerful sensors) has encouraged the proliferation of the Internet of Things (IoT). Although data reliability and accuracy are crucial in many sensor applications…
Michael Cash, Christopher Morales, Shan Wang, Xipeng Jin + 3 more
'Alex Parlato' 'Wei Sun' 'Xinwen Fu'] Abstract—KNX is one popular communication protocol for a building automation system (BAS). However, its lack of security makes it subject to a variety of attacks. We are the first to study the false data injection attack against a KNX based BAS. We design a man-in-the-middle (MITM)…
Carlos Pedroso, Aldri Santos
The IoT has made possible the development of increasingly driven services, like industrial IIoT services, that often deal with massive amounts of data. Meantime, as IIoT networks grow, the threats are even greater, and false data injection attacks (FDI) stand out as being one of the most aggressive. The majority of…
Xiaoyu Luo, Chongrong Fang, Jianping He, Chengcheng Zhao + 1 more
'Dario Paccagnan'] Security issues have gathered growing interest within the control systems community, as physical components and communication networks are increasingly vulnerable to cyber attacks. In this context, recent literature has studied increasingly sophisticated false data injection attacks, with the aim to…
Moulik Choraria, Arpan Chattopadhyay, Urbashi Mitra, Erik G. Ström
—Herein, design of false data injection attack on a distributed cyber-physical system is considered. A stochastic process with linear dynamics and Gaussian noise is measured by multiple agent nodes, each equipped with multiple sensors. The agent nodes form a multi-hop network among themselves. Each agent node computes…
Chaoqun Zhu, Jie Li, Jie Shen, Lei Zhou + 3 more
'Yafei Li'] In recent years, with the development of smart grid, the power systems and other energy systems are gradually forming integrated energy systems. The electric-thermal integrated energy system is a mature integrated energy system at present. The electric-thermal integrated energy system uses modern…
Or Shalom, Amir Leshem, Waheed U. Bajwa
Federated learning is a technique that allows multiple entities to collaboratively train models using their data without compromising data privacy. However, despite its advantages, federated learning can be susceptible to false data injection attacks. In these scenarios, a malicious entity with control over specific…
Michel Toulouse, Hai Le, Cao Vien Phung, Denis Hock
Consensus algorithms provide strategies to solve problems in a distributed system with the added constraint that data can only be shared between adjacent computing nodes. We Vnd these algorithms in applications for wireless and sensor networks, spectrum sensing for cognitive radio, even for some IoT services. However…
Tianyu Liu, Yijia Xiao, Xiao Luo, Hongyu Zhao
Computational methods should be accurate and robust for tasks in biology and medicine, especially when facing different types of attacks, defined as perturbations of benign data that can cause a significant drop in method performance. Therefore, there is a need for robust models that can defend attacks. In this…
Hongjian Zhou, Xinyu Zou, Jinge Wu, Sean Wu + 18 more
Large language models (LLMs) now reach expert-level scores on medical licensing exams, encouraging the assumption that high scores imply safe medical judgment while patients increasingly use them for health advice. We show this assumption is fragile: when misleading context is injected into questions that LLMs…
Daniel Mas Montserrat, Alexander G. Ioannidis
Adversarial attacks can drastically change the output of a method by performing a small change on its input. While they can be a useful framework to analyze worst-case robustness, they can also be used by malicious agents to perform damage in machine learning-based applications. The proliferation of platforms that…
Haitham Ameen Noman, Osama M. F. Abu-Sharkh, Gianluigi Ferrari
The Internet of Things (IoT) has transformed various domains in our lives by enabling seamless communication and data exchange between interconnected devices, necessitating robust networking infrastructure. This paper presents a comprehensive analysis of code injection attacks in IoT, focusing on the wireless domain.…
Steven Golob, Patrick McKeever, Sikha Pentyala, Martine De Cock + 1 more
Single-cell RNA sequencing (scRNA-seq) data is subject to strict access control due to its sensitive nature, motivating the use of synthetic data generation (SDG) for privacy-preserving data sharing. We present the first adversarial privacy attack that performs meaningfully above random guessing against…
Manuel Huth, Jonas Arruda, Roy Gusinow, Lorenzo Contento + 2 more
Federated Learning (FL) is gaining traction in various fields as it enables integrative data analysis without sharing sensitive data, such as in healthcare. However, the risk of data leakage caused by malicious attacks must be considered. In this study, we introduce a novel attack algorithm that relies on being able to…