Cooperative spectrum sensing scheme against SSDF attack based on ESD test in radio network by Lichun XIE, Chunqin ZHANG

“…The simulation results show that the proposed scheme can effectively filter SSDF attack data in cooperative sensing, and it has lower error detection rate.…”
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Observer-Based Sliding Mode Load Frequency Control of Power Systems under Deception Attack by Siwei Qiao, Xinghua Liu, Gaoxi Xiao, Shuzhi Sam Ge

“…This study investigates the observer-based sliding mode load frequency control for multiarea interconnected power systems under deception attack. By introducing the observer and combining it with the system state equation, the expression of the system error is obtained. …”
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Security state estimation based on signal reconstruction for multi‐vehicle systems under malicious attack by Jing Wang, Siyuan Wang, Shan Lu, Meng Zhou

“…First the reconstruction of attack signal is transformed into a sparse error correction problem by stacking the measurement information of adjacent vehicles, and is solved by orthogonal matching pursuit (OMP) algorithm. …”
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Study on correction technology of aircraft angle-of-attack signal based on estimation of side-slip angle by XUE Yuan, LIU Shimin, WEI Jianlong

“…The simulation results show that the proposed method is successful in estimating the side-slip angle, and the angle-of-attack signal on both sides of the nose is consistent with the modified side-slip angle, which solves the problem of over-error of the angle-of-attack signal caused by the large side-slip state and has good correction effect.…”
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Ctta: a novel chain-of-thought transfer adversarial attacks framework for large language models by Xinxin Yue, Zhiyong Zhang, Junchang Jing, Weiguo Wang

“…Numerous experiments on LLMs with varying performance and parameter sizes have validated the effectiveness, stability, and generalizability of this attack. The model’s error response and the superiority of this attack are thoroughly examined using attention by gradient technology, confirming the security threats posed by LLMs when leveraging CoT capability. …”
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Increasing Neural-Based Pedestrian Detectors’ Robustness to Adversarial Patch Attacks Using Anomaly Localization by Olga Ilina, Maxim Tereshonok, Vadim Ziyadinov

“…Existing defense methods against patch attacks are insufficiently effective, which underlines the need to develop new reliable solutions. …”
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Learning deep forest for face anti-spoofing: An alternative to the neural network against adversarial attacks by Rizhao Cai, Liepiao Zhang, Changsheng Chen, Yongjian Hu, Alex Kot

“…However, NN-based methods are vulnerable to adversarial attacks. Attackers could insert adversarial noise into spoofing examples to circumvent an NN-based face-liveness detector. …”
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LAYERED DEFENSE IN COMMUNICATION SYSTEMS: JOINT USE OF VPN PROTOCOLS AND LINEAR BLOCK CODES by Vladyslav Sharov, Olena Nikulina

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Mathematical models of message authentication in the post-quantum cryptosystems based on error-correcting coding by Aleksandr Aleksandrovich Kuznetsov, Igor Ivanovich Svatovskiy, Aleksey Vladimirovich Shevtsov

“…Code-based cryptography draws attention not only highly resistant to attacks of various kinds, but also performance hardware implementation and the additional advantage of the ability to correct errors in the transmission signals over data channels. …”
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The usage of power system multi-model forecasting aided state estimation for cyber attack detection by I. A. Lukicheva, A. L. Kulikov

“…Such an aggregate cyber-physical system can be subject to cyber attacks. One of the ways to counter cyberattacks is state estimation. …”
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Exploring the Roles of In-Network Caching in ICN by Xiaoyan Hu, Jian Gong

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An Enhanced Learning with Error-Based Cryptosystem: A Lightweight Quantum-Secure Cryptography Method by Mostefa Kara, Konstantinos Karampidis, Giorgos Papadourakis, Mohammad Hammoudeh, Muath AlShaikh

“…Based on the learning with error (LWE) system, this paper introduces a novel asymmetric encryption technique that encrypts entire messages of n bits rather than just 1 bit. …”
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Dynamic event-triggered $ H_{\infty} $ control for neural networks with sensor saturations and stochastic deception attacks by Zongying Feng, Guoqiang Tan

“…And a lower trigger frequency can be obtained by appropriately adjusting the triggering error. Then, a new closed-loop quantized control model is established under a dynamic event-triggered scheme, sensor saturations, and stochastic deception attacks, which is described by two independent Bernoulli-distributed variables. …”
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PUF-AQKD: A Hardware-Assisted Quantum Key Distribution Protocol for Man-in-the-Middle Attack Mitigation by Ashutosh Bhatia, Sainath Bitragunta, Kamlesh Tiwari

“…Current QKD techniques are susceptible to man-in-the-middle (MITM) attacks due to the absence of an inherent mechanism for identity verification within the quantum channel. …”
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State Estimation in Power Systems Under False Data Injection Attack Using Total Least Squares by Bamrung Tausiesakul, Krissada Asavaskulkiet, Chuttchaval Jeraputra, Ittiphong Leevongwat, Thamvarit Singhavilai, Supun Tiptipakorn

“…Signal-to-noise ratio (SNR), signal-and-attack-to-noise ratio (SANR), and phase-to-attack ratio are examples of the situational quality that can exist in the power distribution systems. …”
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Bit flipping-based error correcting output code construction for adversarial robustness of neural networks by Wooram Jang, Woojin Hwang, Kezhong Jin, Hosung Park

“…In this paper, we propose a method for constructing error-correcting output codes (ECOCs) based on a codeword bit flipping algorithm to enhance adversarial robustness of neural networks. …”
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Ataque del colocador en voleibol de alto nivel (The setter’s attack in high-level volleyball) by Eduardo López, María Velasco Rodrigo, Gemma María Gea-García

“…For data analysis, Pearson's Chi-square and an analysis of ROC curves were used. The setter’s attack obtained more points and created less errors when performed after an excellent pass to the setter (X2=15.53; p=.004). …”
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Detection of Multiple Small Biased GPS Spoofing Attacks on Autonomous Vehicles Using Time Series Analysis by Ahmad Mohammadi, Reza Ahmari, Vahid Hemmati, Frederick Owusu-Ambrose, Mahmoud Nabil Mahmoud, Parham Kebria, Abdollah Homaifar

“…This detection is facilitated through time series analysis at 25 and 50 s intervals to build a profile of data errors and distribution to predict the probability of such attacks. …”
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Voice Spoofing Detection Through Residual Network, Max Feature Map, and Depthwise Separable Convolution by Il-Youp Kwak, Sungsu Kwag, Junhee Lee, Youngbae Jeon, Jeonghwan Hwang, Hyo-Jung Choi, Jong-Hoon Yang, So-Yul Han, Jun Ho Huh, Choong-Hoon Lee, Ji Won Yoon

“…Our single model achieved a replay attack detection equal error rate (EER) of 0.30% on the evaluation set using an optimized constant Q transform (CQT) feature, outperforming the top ensemble system in the competition, which scored an EER of 0.39%. …”
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Key Distribution System Based on Hadamard Designs by Vladimir M. Deundyak, Alexey A. Taran

“…Such key distribution systems can be based on different structures, such as error-correcting codes and combinatorial designs. …”
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