Leveraging Finite-Precision Errors in Chaotic Systems for Enhanced Image Encryption by B. M. El-Den, Saad Aldosary, Haitham Khaled, Tarek M. Hassan, Walid Raslan

“…Previous studies have primarily aimed to mitigate this issue, with limited consideration of harnessing finite-precision errors as a potential source of randomness. In this study, we propose an innovative encryption method that leverages finite-precision errors within chaotic systems. …”
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Tractus Errores Graecorum: Polemics of the Latin Patriarchate of Constantinople against the Greeks by Jack Hanrahan-Shirley

“…This paper examines the Latin text entitled Tractus Errores Graecorum: De Processione Spiritus Sancti. …”
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A Novel FDIA Model for Virtual Power Plant Cyber–Physical Systems Based on Network Topology and DG Outputs by Shuo Wu, Junhao Gong, Shiqu Xiao, Jiajia Yang, Xiangjing Su

“…A hybrid solution framework is then proposed for the optimization problem above, where the corresponding submodules realize the bad data detection, topology error identification, and optimal dispatching in the optimal attack vector. …”
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Quantization Effects on Zero-Dynamics Attacks to Closed-Loop Sampled-Data Control Systems by Xile Kang, Hideaki Ishii

“…Then we demonstrate that the attacker can reduce such output variation with a modified approach, by compensating the quantization error of the attack signal inside the attack dynamics. …”
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Multibit image watermarking algorithm resistant to geometric attacks based on level set method

“…A multibit watermarking algorithm based on level set method was proposed.First,the stable location of the unit disk was found using level set method.Then,pseudo-Zernike moments were calculated.At last,the watermark was embedded by modifying the pseudo-Zernike moments.In the extraction process,the root-mean-square-error method was employed to detect the watermark.Simulation results show that the algorithm overcomes the defect of the traditional al-gorithm based on pseudo-Zernike moments,while be robust against geometric attacks.…”
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Adaptive Cooperative Quality Weight Spectrum Sensing for Mitigating Byzantine Attacks in Cognitive Radio by Kanabadee Srisomboon, Luepol Pipanmekaporn, Akara Prayote, Wilaiporn Lee

“…Spectrum sensing data falsification (SSDF) attack, i.e., Byzantine attack, is one of the critical threats of the cooperative spectrum sensing where the Byzantine attackers (BAs) forward incorrect local sensing results to mislead the fusion center on channel availability decisions. …”
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Secure state estimation and attack reconstruction for cyber-physical system with intermediate and robust observer by Xiaoyi Zheng, Zhen Zhu, Yan Lu

“…An intermediate and robust observer is presented in this article to robustly estimate secure state and reconstruct actuator attack for continuous-time/discrete-time cyber-physical system. …”
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STEGO TRANSFORMATION OF SPATIAL DOMAIN OF COVER IMAGE ROBUST AGAINST ATTACKS ON EMBEDDED MESSAGE by Kobozeva A., Lebedeva O., Kostyrka O.

“…It was shown that the amount of brightness correction related to the pixels of the cover image block is similar to the amount of correction related to the maximum singular value of the corresponding matrix of the block in case of embedding additional data that ensures robustness against attacks on the embedded message. Recommendations were obtained for selecting the size of the cover image block used in stego transformation as one of the parameters determining the calculation error of stego message. …”
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Parameter Identification and Control Method of a Hypersonic Wind Tunnel Attack Angle Mechanism by Guoliang Zheng, Dewei Zhang, Guangfei You, Leile Zhang, Yiyong Wu, Hongtao Yang

“…Aiming at a hypersonic wind tunnel angle of attack mechanism， its special structural characteristics and kinematics are analyzed， and its parameter identification and control methods are studied. …”
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Performance of a kinetic model for predicting internal sulphate attack in Portland cement mortars by S.O. Ekolu, J. Dateling, A. Naghizadeh

“…The observed limitations and sources of error are discussed along with suggested future research. …”
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RESPONSE- a resilient framework to manage cyber-attacks on cyber-physical process systems by Luyang Liu, Zaman Sajid, Costas Kravaris, Faisal Khan

“…RESPONSE is built on the National Institute of Standards and Technology (NIST) cybersecurity recommendation by leveraging redundant control architecture, secure detection mechanism, and integral error manipulation to maintain safe operations under attack conditions. …”
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Preset-Time Tracking Control for Nonlinear Cyber-Physical Systems Against Cyber Attacks by Zhiliang Chen, Wei Zhang, Ting Yu, Yijie Liu, Wang Ren, Kaixiong Zhu, Shilin Li

“…Particularly, a new Gaussian radial basis function neural network (RBFNN) is designed as a neural estimator acting in an on-line pattern to estimate the vitriolic attacks. The designed control strategy can guarantee that the output tracking error enters a predefined small region around the equilibrium point, but also all the other states of the closed-loop system keep semi-globally practical finite-time stable (SGPFS), where the regulation time and tracking accuracy level remain prior known and could be preassigned. …”
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Connected Vehicles Security: A Lightweight Machine Learning Model to Detect VANET Attacks by Muawia A. Elsadig, Abdelrahman Altigani, Yasir Mohamed, Abdul Hakim Mohamed, Akbar Kannan, Mohamed Bashir, Mousab A. E. Adiel

“…It causes negligible classification errors.…”
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Deep Fusion Intelligence: Enhancing 5G Security Against Over-the-Air Attacks by Mohammadreza Amini, Ghazal Asemian, Burak Kantarci, Cliff Ellement, Melike Erol-Kantarci

“…With the increasing deployment of 5G networks, the vulnerability to malicious interference, such as jamming attacks, has become a significant concern. Detecting such attacks is crucial to ensuring the reliability and security of 5G communication systems Specifically in CAVs. …”
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Resilient Multimedia Embedding in DICOM Images: A Robustness Evaluation Under Multiple Attacks by Ramyashree, P. S. Venugopala, S. Raghavendra, Vijay S. Kubihal, B. Ashwini

“…The primary objective is to evaluate the performance of these embedding techniques in terms of insertion time, extraction time, Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index Measure (SSIM), and Mean Squared Error (MSE). To assess the robustness of the embedded data, a series of attacks are applied to the DICOM images, including zero attack, salt and pepper attack, Gaussian attack, and speckle noise attack. …”
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Research on entity recognition and alignment of APT attack based on Bert and BiLSTM-CRF by Xiuzhang YANG, Guojun PENG, Zichuan LI, Yangqi LYU, Side LIU, Chenguang LI

“…The massive APT attack analysis reports and threat intelligence generated by security companies have significant research value. …”
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Research on entity recognition and alignment of APT attack based on Bert and BiLSTM-CRF by Xiuzhang YANG, Guojun PENG, Zichuan LI, Yangqi LYU, Side LIU, Chenguang LI

“…The massive APT attack analysis reports and threat intelligence generated by security companies have significant research value. …”
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Mọ́remí or Mọ́rèmí: An Investigation into the Perception Error of a Deified Woman in Ilé-Ifẹ̀ by Ọladiipọ Ajiboye

“…We trace this to the transcription of Dúró Ládipo ̣ ̀’s tonal melodies of his song Mọ́remí Àján̄sorò which is basically a perception error. We argue that though “re” is a variant of the verb “rè”, the form “re” only occurs with referential nouns while “rè” is found with short pronouns (Déchaine, 2001). …”
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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

“…A sensitivity analysis-based noise superposition attack strategy was employed to perform white-box adversarial attacks against ResNet, a typical image classification model. …”
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Event-Triggered MFAILC Bipartite Formation Control for Multi-Agent Systems Under DoS Attacks by Han Li, Lixia Fu, Wenchao Wu

“…A DoS attack model and its corresponding compensation algorithm are developed, while a dynamic event-triggered condition is designed considering both the consensus error and the tracking error. …”
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