Rudraksh: A compact and lightweight post-quantum key-encapsulation mechanism by Suparna Kundu, Archisman Ghosh, Angshuman Karmakar, Shreyas Sen, Ingrid Verbauwhede

“…In this work, we explored the design space of learning with error-based PQC schemes to design a lightweight key-encapsulation mechanism (KEM) suitable for resourceconstrained devices. …”
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Evaluating the Performance of LoRa Networks: A Study on Disaster Monitoring Scenarios by Isadora Rezende Lopes, Paulo Rodolfo da Silva Leite Coelho, Rafael Pasquini, Rodrigo Sanches Miani

“…These numerous technologies, such as LoRa (Long Range) transceivers, find applications in various domains, including monitoring natural disasters and those caused by human error. Security vulnerabilities arise concurrently with the advancement of these new technologies. …”
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Analyzing anomalous events in passageways with high-frequency ship signals. by Cherryl Chico, Macario O Ii Cordel, Mahinthan Joseph Mariasingham, Elaine S Tan

“…This means that disruptions such as natural disasters or human error at these crucial points can significantly impact numerous economies across various facets of trade. …”
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Transfer Reinforcement Learning-Based Power Control for Anti-Jamming in Underwater Acoustic Communication Networks by Liejun Yang, Yi Chen, Hui Wang

“…However, they are highly susceptible to performance degradation due to narrow bandwidths, long propagation delays, and severe multipath effects, especially adversarial jamming attacks. Traditional anti-jamming techniques struggle to adapt to the dynamic nature of underwater acoustic channels effectively. …”
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Enhancing Communication Security in Drones Using QRNG in Frequency Hopping Spread Spectrum by J. de Curtò, I. de Zarzà, Juan-Carlos Cano, Carlos T. Calafate

“…Our method introduces a concurrent access protocol for multiple drones to share a QRNG device efficiently, incorporating robust error handling and a shared memory system for random number distribution. …”
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Ultra-secure quantum protection for e-healthcare images: Hybrid chaotic one-time pad with cipher chaining encryption framework by Roayat Ismail Abdelfatah, Reham Mohamed Elsobky, Salah Aldeen Khamis

“…This study effectively bridges the gap between theoretical quantum security models and real-world implementation on existing NISQ devices, demonstrating resilience against classical statistical and differential attacks, as well as quantum-specific threats such as Grover’s brute-force search and quantum chosen-plaintext attacks. …”
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Design of an Iterative Method for Malware Detection Using Autoencoders and Hybrid Machine Learning Models by Rijvan Beg, R. K. Pateriya, Deepak Singh Tomar

“…This configuration allows the model to be able to detect and adapt to evolving attack patterns, thus, by 25%, significantly improving the zero-day attack detection.…”
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Lateral Phishing With Large Language Models: A Large Organization Comparative Study by Mazal Bethany, Athanasios Galiopoulos, Emet Bethany, Mohammad Bahrami Karkevandi, Nicole Beebe, Nishant Vishwamitra, Peyman Najafirad

“…These errors can be mitigated by LLMs, potentially lowering the barrier for attackers. …”
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Biometric-Based Key Generation and User Authentication Using Voice Password Images and Neural Fuzzy Extractor by Alexey Sulavko, Irina Panfilova, Daniil Inivatov, Pavel Lozhnikov, Alexey Vulfin, Alexander Samotuga

“…The results show that the proposed neural fuzzy extractor model provides an equal error probability level of EER = 2.1%.…”
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Image Robust Watermarking Method Based on DWT-SVD Transform and Chaotic Map by Weishuai Wu, Yujiao Dong, Guangyi Wang

“…Robustness testing against various types of attacks resulted in normalized correlation (NC) values consistently surpassing 0.9, with bit error rate (BER) values approaching 0. …”
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Building a Cybersecurity Culture in Higher Education: Proposing a Cybersecurity Awareness Paradigm by Reismary Armas, Hamed Taherdoost

“…Research has shown that a significant percentage of recorded cyber incidents are attributed to social engineering practices or human error. In response to this growing threat, reinforcing cybersecurity awareness among users has become an urgent strategy to develop and apply. …”
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Codes in Dihedral Group Algebra by Kirill V. Vedenev, Vladimir M. Deundyak

“…So, the new classes of error-correcting codes are required for building new resistant code cryptosystems. …”
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High Security Differential Chaos-Based Modulation With Channel Scrambling for WDM-Aided VLC System by Bingjun Chen, Lin Zhang, Huaiyin Lu

“…However, due to the broadcasting property of optical channels, VLC systems may also suffer from malicious attacks or eavesdropping. In this paper, we present a differential chaos-based modulation with channel scrambling (DCM-CS) for wavelength-division multiplexing (WDM) aided VLC system to enhance the transmission security over red, green, and blue (RGB) channels. …”
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Cancelable biometric authentication leveraging empirical mode decomposition and quaternion representations for IoT security by Mahmoud Nasr, Krzysztof Brzostowski, Adam Piórkowski, Fathi E. Abd El-Samie

“…Experimental assessments indicate the method robustness against possible attacks, attaining an Area under the Receiver Operating Characteristic curve (AROC) of 0.9997 and an almost negligible Equal Error Rate (EER). …”
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GNSS-denied geolocalization of UAVs using terrain-weighted constraint optimization by Fushan Yao, Chaozhen Lan, Longhao Wang, Hongfa Wan, Tian Gao, Zijun Wei

“…However, GNSS systems are susceptible to blockages, jamming, and spoofing attacks. Localization using onboard cameras and satellite images provides a promising solution for UAVs operating in GNSS-denied environments. …”
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Discrete-Modulated Coherent-State Quantum Key Distribution with Basis-Encoding by Mingxuan Guo, Peng Huang, Le Huang, Xiaojuan Liao, Xueqin Jiang, Tao Wang, Guihua Zeng

“…However, the traditional DMCS-CVQKD scheme cannot tolerate the high channel excess noise and channel loss, compared to the Gaussian-modulated scheme, and its error correction is still difficult. In this paper, we propose a discrete-modulated coherent-state basis-encoding quantum key distribution (DMCS-BE-QKD) protocol, where the secret keys are encoded in the random choice of 2 measurement bases, i.e., the conjugate quadratures X and P of discrete-modulated coherent states, and it only needs simple binary sequence error correction. …”
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Rectifying Adversarial Examples Using Their Vulnerabilities by Fumiya Morimoto, Ryuto Morita, Satoshi Ono

“…Deep neural network-based classifiers are prone to errors when processing adversarial examples (AEs). …”
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Voice Fence Wall: User-optional voice privacy transmission by Li Luo, Yining Liu

“…Specifically, our framework achieves 89.84 ​% accuracy in sentiment recognition and 6.01 ​% equal error rate in voice authentication.…”
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DICTION: DynamIC robusT whIte bOx Watermarking Scheme for Deep Neural Networks by Reda Bellafqira, Gouenou Coatrieux

“…Experiments conducted on four benchmark models (MLP, CNN, ResNet-18, and LeNet) demonstrate that DICTION achieves a zero bit error rate (BER) while maintaining model accuracy within 0.5% of the baseline. …”
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Adaptive Autoencoder-Based Intrusion Detection System with Single Threshold for CAN Networks by Donghyeon Kim, Hyungchul Im, Seongsoo Lee

“…The proposed autoencoder model was trained exclusively on normal data. A portion of the attack data was utilized to determine the optimal detection threshold using a Gaussian kernel density estimation function, while the frame count was selected based on error rate analysis. …”
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