Assessing smart light enabled cyber-physical attack paths on urban infrastructures and services by Ioannis Stellios, Kostas Mokos, Panayiotis Kotzanikolaou

“…Using these scenarios, we evaluate the risk of cascading attacks, by applying a targeted risk assessment methodology for identifying and assessing IoT-enabled attacks.…”
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On the generalisation capabilities of fingerprint presentation attack detection methods in the short wave infrared domain by Jascha Kolberg, Marta Gomez‐Barrero, Christoph Busch

“…This fact motivates research on generalisation capabilities in order to find PAD methods that are resilient to new attacks. In this context, the authors evaluate the generalisability of multiple PAD algorithms on a dataset of 19,711 bona fide and 4339 PA samples, including 45 different PAI species. …”
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Detection of IPv6 routing attacks using ANN and a novel IoT dataset by Murat Emec

“…Using artificial intelligence and machine-learning techniques, a performance evaluation was performed on four different artificial neural network models (convolutional neural network, deep neural network, multilayer perceptron structure, and routing attack detection-fed forward neural network [RaD-FFNN]). …”
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Improving Transferability of Physical Adversarial Attacks on Object Detectors Through Multi-Model Optimization by Adonisz Dimitriu, Tamás Vilmos Michaletzky, Viktor Remeli

“…Physical adversarial attacks face significant challenges in achieving transferability across different object detection models, especially in real-world conditions. …”
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PREVENTING CYBER ATTACKS ON CRIRICAL INFRASTRUCTURE: A NEW PRIORITY FOR THE RUSSIAN PUBLIC DIPLOMACY? by O. V. Demidov

“…Despite the significant differences of different countries in this area, their positions on ensuring protection against cyber attacks peaceful nuclear infrastructure are the closest to a consensus, creating a window of opportunity for practical progress on this issue in 2013-2014.…”
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Effective Proactive and Reactive Defense Strategies against Malicious Attacks in a Virtualized Honeynet by Frank Yeong-Sung Lin, Yu-Shun Wang, Ming-Yang Huang

“…In this paper, the attack-defense scenario is formulated as a mathematical model where the defender applies both proactive and reactive defense mechanisms against attackers with different attack strategies. …”
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A METHOD FOR INVESTIGATING MACHINE LEARNING ATTACKS ON ARBITER-TYPE PHYSICALLY UNCLONABLE FUNCTIONS by Yuri A. Korotaev

“…This approach allows for a preliminary evaluation of the effectiveness of different algorithms for attacking APUFs without access to challenge-response datasets from real instances of physically unclonable functions. …”
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Replica attack detection method for vehicular ad hoc networks with sequential trajectory segment by Yan Xin, Xia Feng

“…In terms of semi-supervised support vector machine, we establish a detection model using spatio-temporal trajectories of different identities as input samples, which include features of both conspiracy and non-conspiracy attack scenarios. …”
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Research on adversarial attacks and defense performance of image classification models for automated driving systems by TANG Jun, HUANG Wenjing, LI Shuang, WU Zili

“…Then, sensitivity analyses were carried out across different regions and examples to identify attack mechanisms using three adversarial interpretation algorithms: LRP, Grad-CAM, and LIME. …”
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Evolution and Influence of Multivortex Structure on the Head of Canard-Controlled Missile at High Angle of Attack by Kai Wei, Shaosong Chen, Dongdong Tang, Yihang Xu, Xujian Lyu, Qing Chen

“…In this study, canard-controlled missiles are employed to study the influence of multivortex structure present in the head under different roll angles at high angles of attack. The turbulence model was verified and used for simulation. …”
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DDoS-MSCT: A DDoS Attack Detection Method Based on Multiscale Convolution and Transformer by Bangli Wang, Yuxuan Jiang, You Liao, Zhen Li

“…Distributed denial-of-service (DDoS) attacks pose a significant threat to network security due to their widespread impact and detrimental consequences. …”
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Secondary attack rates of COVID-19 in diverse contact settings, a meta-analysis by Ting Tian, Xiang Huo

“… Introduction: The secondary attack rate (SAR) measures the transmissibility of an infectious agent. …”
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Where does the panic attack come from... – characteristics and forms of therapy for anxiety disorders by Patrycja Grzech, Weronika Zubrzycka, Joanna Gmyz

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Facial recognition targeted attack algorithm based on multiscale frequency decomposition and meta-learning by CAI Jun, HUANG Tianqiang, ZHENG Aokun, YE Feng, XU Chao

“…The results of experimental analysis of different attack strategies demonstrate that the combination of multiscale frequency decomposition and meta-learning significantly enhances the success rate and robustness of attacks on facial recognition systems.…”
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An edge sensitivity based gradient attack on graph isomorphic networks for graph classification problems by Srinitish Srinivasan, Chandraumakantham OmKumar

“…Such attacks, classified as white box attacks, tamper with latent space representation of graphs without creating any noticeable difference in the overall distribution. …”
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Mobile applications for skin cancer detection are vulnerable to physical camera-based adversarial attacks by Junsei Oda, Kazuhiro Takemoto

“…Through digital experiments with various DNN architectures trained on a publicly available skin lesion dataset, we first demonstrate that camera-based adversarial patterns can achieve high transferability across different models. Using these findings, we implement physical attacks by attaching optimized transparent stickers to mobile device cameras. …”
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A survey of social cybersecurity: Techniques for attack detection, evaluations, challenges, and future prospects by Aos Mulahuwaish, Basheer Qolomany, Kevin Gyorick, Jacques Bou Abdo, Mohammed Aledhari, Junaid Qadir, Kathleen Carley, Ala Al-Fuqaha

“…This field is uniquely positioned to address issues such as different social cybersecurity attacks like cyberbullying, cybercrime, spam, terrorist activities, and community detection. …”
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Natural Occlusion-Based Backdoor Attacks: A Novel Approach to Compromising Pedestrian Detectors by Qiong Li, Yalun Wu, Qihuan Li, Xiaoshu Cui, Yuanwan Chen, Xiaolin Chang, Jiqiang Liu, Wenjia Niu

“…We design a dynamically optimized heuristic-based strategy to adaptively adjust the trigger’s position and size for diverse occlusion scenarios, and develop three model-independent trigger embedding mechanisms for attack implementation. We conduct extensive experiments on two different pedestrian detection models using publicly available datasets. …”
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Transfer learning for securing electric vehicle charging infrastructure from cyber-physical attacks by Ahmad Almadhor, Shtwai Alsubai, Imen Bouazzi, Vincent Karovic, Monika Davidekova, Abdullah Al Hejaili, Gabriel Avelino Sampedro

“…So many common signs of attacks are ignored. This paper proposes a Transfer learning (TL) framework for cyber-physical attack detection in EVCS in order to overcome these difficulties and improve both accuracy and scalability. …”
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Building Cyber-Attack Immunity in Electric Energy System Inspired by Infectious Disease Ecology by Hussain M. Mustafa, Sajan K. Sadanandan, Anurag K. Srivastava, Arif R. Sarwari, Rebecca Reece

“…Building on the analysis of similarities between different aspects of cyber-power security and infectious diseases, this work aims to develop a bio-inspired, resilient cyber defense system that can identify, protect, detect, respond to, and recover from complex, well-targeted cyber attacks in power systems. …”
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