Search · four archives
Search · four archives
19 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…
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…
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)…
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…
Ipsita Koley, Sunandan Adhikary, Soumyajit Dey
Modern Cyber-Physical Systems (CPSs) are often designed as networked, software-based controller implementations which have been found to be vulnerable to network-level and physical level attacks. A number of research works have proposed CPS-specific attack detection schemes as well as techniques for attack resilient…
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…
Siliang Zhao, Wuman Luo, Qin Shu, Fangwei Xu + 1 more
False data injection attacks (FDIAs) targeting AC state estimation pose significant challenges, especially when only power measurements are available, and voltage measurements are absent. Current machine learning-based approaches struggle to effectively control state estimation errors and are confined to the data…
Ammar Haydari, Yasin Yilmaz, Anastasios Doulamis, Nikolaos Doulamis + 1 more
'Athanasios Voulodimos'] Secure vehicular communication is a critical factor for secure traffic management. Effective security in intelligent transportation systems (ITS) requires effective and timely intrusion detection systems (IDS). In this paper, we consider false data injection attacks and distributed…
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…
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…
Suman Sourav, Binbin Chen
—For industrial control systems (ICS), many existing defense solutions focus on detecting attacks only when they make the system behave anomalously. Instead, in this work, we study how to detect attackers who are still in their hiding phase. Specifically, we consider an off-path false-data-injection attacker who makes…
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…
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…