15 papers · ranked by Valyu relevance
Shuo Chen, Yue Qiu, Jie Zhang
Backdoor attacks on reinforcement learning implant a backdoor in a victim agent's policy. Once the victim observes the trigger signal, it will switch to the abnormal mode and fail its task. Most of the attacks assume the adversary can arbitrarily modify the victim's observations, which may not be practical. One work…
Qingzhao Zhang, Shuowei Jin, Jiachen Sun, Xumiao Zhang + 3 more
'Qi Alfred Chen' 'Z. Morley Mao'] Collaborative perception, which greatly enhances the sensing capability of connected and autonomous vehicles (CAVs) by incorporating data from external resources, also brings forth potential security risks. CAVs' driving decisions rely on remote untrusted data, making them susceptible…
Ben A. Scott, Michael N. Johnstone, Patryk Szewczyk, Paolo Bellavista
The Internet’s default inter-domain routing system, the Border Gateway Protocol (BGP), remains insecure. Detection techniques are dominated by approaches that involve large numbers of features, parameters, domain-specific tuning, and training, often contributing to an unacceptable computational cost. Efforts to detect…
Yiming Li, Qi Fang, Jiamu Bai, Siheng Chen + 2 more
'Feng Chen'] Multiple robots could perceive a scene (e.g., detect objects) collaboratively better than individuals, although easily suffer from adversarial attacks when using deep learning. This could be addressed by the adversarial defense, but its training requires the often-unknown attacking mechanism. Differently…
Muhammad S Sajid, Syed M. A. H. Bukhari, Bo Ji, Brendan David-John
remote collaborative mixed reality Authors: ['Muhammad S Sajid' 'Syed M. A. H. Bukhari' 'Bo Ji' 'Brendan David-John'] Figure 1: Three security attacks in remote collaborative Mixed Reality (MR) considered in this work: click redirection ((a) and (b)), object occlusion (c), and spatial occlusion (d). In (a), the user…
Tran Viet Khoa, Do Hai Son, Dinh Thai Hoang, Nguyen Linh-Trung + 4 more
'Tran Thi Thuy Quynh' 'Diep N. Nguyen' 'Nguyen Viet Ha' 'Eryk Dutkiewicz'] Abstract—With the ever-increasing popularity of blockchain applications, securing blockchain networks plays a critical role in these cyber systems. In this paper, we first study cyberattacks (e.g., flooding of transactions, brute pass) in…
Bo Wang, Jiesheng Wang, Mingchu Li, Amitabh Mishra
With the rapid development of the Financial Internet of Things (FIoT), many intelligent devices have been deployed in various business scenarios. Due to the unique characteristics of these devices, they are highly vulnerable to malicious attacks, posing significant threats to the system’s stability and security.…
Aulia Arif Wardana, Grzegorz Kołaczek, Parman Sukarno
The CoAt-Set dataset is a transformed dataset specifically designed for collaborative anomaly detection within Collaborative Intrusion Detection Systems (CIDS). It is developed by extracting and relabeling coordinated attack patterns from well-established datasets, including CIC-ToN-IoT, CIC-IDS2017, CIC-UNSW-NB15…
Zhonghong Wu, Li Pan, Minggang Yu, Jintao Liu + 1 more
Intelligent and coordinated unmanned aerial vehicle (UAV) swarm combat will be the main mode of warfare in the future, and mechanistic design of autonomous cooperation within swarms is the key to enhancing combat effectiveness. Exploration of the essential features and patterns of autonomous collaboration in unmanned…
Kazushi Tsutsui, Ryoya Tanaka, Kazuya Takeda, Keisuke Fujii
Collaborative hunting, in which predators play different and complementary roles to capture prey, has been traditionally believed as an advanced hunting strategy requiring large brains that involve high level cognition. However, recent findings that collaborative hunting have also been documented in smaller-brained…
Muhammad Muzamil Aslam, Zahoor Ahmed, Liping Du, Muhammad Zohaib Hassan + 2 more
Consensus control of multiagent systems (MASs) has been one of the most extensive research topics in the field of robotics and automation. The information sharing among the agents in the MASs depends upon the communication network because the interaction of agents may affect the consensus performance of the agents in a…
Jiewen Liu, Rui Liu, Matthew Lee, Ming C. Lin + 2 more
Collaborative decision-making is a fundamental capability in multi-robot systems, such as connected autonomous vehicles. However, perceptual noise and adversarial attacks in collaborators can severely affect decision reliability. Overall, existing methods typically rely on retraining with attack-specific defenses or on…
Nikola Gavrić, Živko Bojović, George Ghinea
The application layer in the Internet protocol suite offers a significant degree of freedom regarding the orchestration of distributed denial-of-service attacks due to many different and unstandardized protocols. The primary focus of defending against application-layer distributed denial-of-service attacks has…
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…
R. Krishna Murthy Karuturi, Govindarajan Kunde-Ramamoorthy, Gregg TeHennepe, Joshy George + 1 more
Many bioinformatics cores face a multitude of challenges. We recognized that the primary source of these challenges was the service-centric approach. So, we initiated the transformation of our bioinformatics core, Computational Sciences (CS), at the Jackson Laboratory (Jax) to be a science-centric collaborative…