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IEEE SSD International Multi-Conference on Systems, Signals and Devices

作者： Sabrina Karboua Fouzi Harrag Sarrah Karboua Amal Booutadjine Mohamed Deriche Department of Computer Science Setif 1 University-Ferhat ABBAS Abdelhamid MEHRI - Constantine 2 University Algeria College of Engineering and Information Technology AIRC Ajman University UAE

ISBN: (数字)9798331542726

ISBN: (纸本)9798331542733

Skin cancer is the most prevalent type of cancer worldwide, accounting for approximately one-third of all cancer cases, with its incidence steadily rising in recent years. This is why early and precise identification of skin cancer is crucial for effective treatment and enhancing survival rates. Leveraging advancements in deep learning and transfer learning, we developed a comprehensive system to address this challenge. In this study, we employed the HAM10000 dataset, a benchmark resource for skin cancer research, to train and evaluate deep learning models. Two architectures, DenseNet201 and ResNet50, were fine- tuned and modified to enhance their accuracy in classifying skin lesions as benign or malignant. Rigorous preprocessing, data augmentation, and model fine-tuning were utilized to address challenges such as dataset imbalance and improve classification accuracy. Our experiments revealed that the modified fine-tuned DenseNet201 model achieved superior performance compared to fined-tuned ResNet50 and other leading models reviewed in the literature with an accuracy of 95.04%. This model was then integrated into a mobile application, “SkinSafe,” to provide an accessible and user-friendly tool for real-time skin cancer classification.

关键词： Deep learning Accuracy Transfer learning Skin Real-time systems Data models Mobile applications Lesions Skin cancer Residual neural networks

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Physical Layer Enhanced Encryption over Wireless Channel 2

Physical Layer Enhanced Encryption over Wireless Channel

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2nd International Conference on Computing, Communication, Perception and Quantum Technology, CCPQT 2023

作者： Shi, Yuhao Tang, Jie Wang, Ruifei Wen, Hong Han-Ho, Pin Chang, Shih Yu University of Electronic Science and Technology of China Institute of Aeronautics and Astronautics USETC Chengdu611731 China The University of Waterloo Department of Electrical and Computer Engineering UW 200 University Avenue West Waterloo OntarioN2L 3G1 Canada

ISBN: (纸本)9798350342697

This paper introduces a novel physical layer secure communication technology based on wireless channel direct encryption to enhance the encryption strength of the information source. Unlike traditional methods of key generation based on the reciprocity of the wireless channel, which typically involve quantizing the wireless channel and then negotiating keys, resulting in two completely identical bit strings generated as encryption keys for upper-level cryptographic algorithms between legitimate communication parties, this paper's approach quantizes the quantized bits of the wireless channel characteristics of both legitimate parties and directly encrypts the information source bits by using a designed lightweight encryption/decryption algorithm. Compared to traditional approaches, this paper's method avoids the key consultation process for physical layer key distribution, expanding the scenarios for the use of physical layer keys. Moreover, it can work independently at the same time with the upper layer cryptography to enhance the encryption strength. Through experimental verification, it has been confirmed that, in cases where the channel error rate during information transmission is less than 5×10-2, this model can achieve an average reception accuracy of 99.6% for legitimate communicators while ensuring that eavesdroppers cannot decrypt. This approach can also compatible with upper-layer security encryption/decryption algorithms at each layer of the OSI, e.g., data link layer and network layer, offering extensive application prospects. © 2023 IEEE.

关键词： Cryptography

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Cracking Physical Layer Artificial Noise Secure Transmission by Bit-flipping 2

Cracking Physical Layer Artificial Noise Secure Transmission...

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2nd International Conference on Computing, Communication, Perception and Quantum Technology, CCPQT 2023

作者： Luo, Hongyu Tang, Jie Wang, Aiwen Wen, Hong Han-Ho, Pin Chang, Shih Yu University of Electronic Science and Technology of China Institute of Aeronautics and Astronautics USETC Chengdu611731 China The University of Waterloo Department of Electrical and Computer Engineering UW 200 University Avenue West Waterloo OntarioN2L 3G1 Canada

ISBN: (纸本)9798350342697

In wireless communication networks, artificial noise (AN) is widely used to enhance the security of physical layer systems. Although a large number of studies have explored the use of artificial noise to achieve secure transmission, most of the existing methods consider security from the perspective of communication information theory, and do not consider the received bit error *** the physical layer artificial noise secure transmission system, a cracking method based on information latitude was proposed. The method proposed in this paper starts from the information bit level, combines the idea of encryption and decryption, and proposes a decryption method for a given receiving bit error rate and the length of the transmitted information bit. Through theoretical analysis and simulation experiments, this paper proves that the proposed method is feasible and effective under certain decryption complexity. © 2023 IEEE.

关键词： Bit error rate

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RadioDiff: An Effective Generative Diffusion Model for Sampling-Free Dynamic Radio Map Construction

arXiv

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arXiv 2024年

作者： Wang, Xiucheng Tao, Keda Cheng, Nan Yin, Zhisheng Li, Zan Zhang, Yuan Shen, Xuemin State Key Laboratory of ISN School of Telecommunications Engineering Xidian University Xi’an710071 China School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu610054 China Department of Electrical and Computer Engineering University of Waterloo WaterlooN2L 3G1 Canada

Radio map (RM) is a promising technology that can obtain pathloss based on only location, which is significant for 6G network applications to reduce the communication costs for pathloss estimation. However, the construction of RM in traditional is either computationally intensive or depends on costly sampling-based pathloss measurements. Although the neural network (NN)-based method can efficiently construct the RM without sampling, its performance is still suboptimal. This is primarily due to the misalignment between the generative characteristics of the RM construction problem and the discrimination modeling exploited by existing NN-based methods. Thus, to enhance RM construction performance, in this paper, the sampling-free RM construction is modeled as a conditional generative problem, where a denoised diffusion-based method, named RadioDiff, is proposed to achieve high-quality RM construction. In addition, to enhance the diffusion model’s capability of extracting features from dynamic environments, an attention U-Net with an adaptive fast Fourier transform module is employed as the backbone network to improve the dynamic environmental features extracting capability. Meanwhile, the decoupled diffusion model is utilized to further enhance the construction performance of RMs. Moreover, a comprehensive theoretical analysis of why the RM construction is a generative problem is provided for the first time, from both perspectives of data features and NN training methods. Experimental results show that the proposed RadioDiff achieves state-of-the-art performance in all three metrics of accuracy, structural similarity, and peak signal-to-noise ratio. The code is available at https://***/UNIC-Lab/RadioDiff. Copyright © 2024, The Authors. All rights reserved.

关键词： Signal to noise ratio

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Phase Optimization and Relay Selection for Joint Relay and IRS-Assisted Communication 100

Phase Optimization and Relay Selection for Joint Relay and I...

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100th IEEE Vehicular Technology Conference, VTC 2024-Fall

作者： Uyoata, Uyoata E. Akinsolu, Mobayode Obayiuwana, Enoruwa Sangodoyin, Abimbola Adeogun, Ramoni Aalborg University Wireless Communication Network Section Aalborg Denmark Wrexham University Faculty of Arts Computing and Engineering WrexhamLL11 2AW United Kingdom Obafemi Awolowo University Department of Electronic and Electrical Engineering Ife Nigeria University of Lincoln School of Computer Science LincolnLN6 7TS United Kingdom

ISBN: (纸本)9798331517786

The use of Intelligent Reflecting Surfaces (IRSs) is considered a potential enabling technology for enhancing the spectral and energy efficiency of beyond 5G communication systems. In this paper, a joint relay and intelligent reflecting surface (IRS)-assisted communication is considered to investigate the gains of optimizing both the phase angles and selection of relays. The combination of successive refinement and reinforcement learning is proposed. Successive refinement algorithm is used for phase optimization and reinforcement learning is used for relay selection. Experimental results indicate that the proposed approach offers improved achievable rate performance and scales better with number of relays compared to considered benchmark approaches. © 2024 IEEE.

关键词： Reinforcement learning

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Evaluation of CAN Bus Security Vulnerabilities and Potential Solutions

Evaluation of CAN Bus Security Vulnerabilities and Potential...

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Women in Data science at Prince Sultan University (WiDS PSU), International Conference of

作者： Asma Alfardus Danda B. Rawat Department of Electrical Engineering and Computer Science Data Science and Cybersecurity Center (DSC2) Howard University Washington D.C USA

The past decade has seen a significant increase in the automobile industry, which has come with some serious challenges and threats. Modem vehicles are now made up of complex mechanical systems, as well as sophisticated electronic devices and connections to the outside world. Various electronic devices utilize standard communication protocols, including the Controller Area Network (CAN), to establish communication with each other. Unfortunately, CAN lacks some fundamental security features, such as encryption and authentication, which makes it vulnerable to security attacks. This can lead to accidents and financial losses for the users of these vehicles. To address this issue, researchers have proposed a number of security measures, such as cryptography and Intrusion Detection Systems (IDS). This paper addresses the security vulnerabilities associated with CAN and proposes potential solutions to overcome its limitations.

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Multi-modal Biometric Authentication: Harnessing Human Gait and Keystroke Dynamics for Enhanced Security 1st

Multi-modal Biometric Authentication: Harnessing Human Gait ...

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1st International Conference on Computational Technologies and Electronics, ICCTE 2023

作者： Dutta, Sandip Roy, Utpal Roy, Soumen Department of Computer and System Sciences Visva-Bharati West Bengal Santiniketan731235 India Department of Computer Science and Engineering University of Calcutta Acharya Prafulla Chandra Roy Siksha Prangan JD - 2 Sector - III Saltlake City West Bengal Kolkata7000106 India

ISBN: (纸本)9783031819346

In an era of escalating cyber threats, user authentication has become paramount in safeguarding sensitive information. Traditional methods like passwords and PINs are proving inadequate in the face of sophisticated attacks. This article proposes a cutting-edge approach that leverages the unique biometric signatures of human gait and keystroke dynamics for robust user authentication. Through a combination of sensor technologies and advanced machine learning algorithms, this method offers a multi-layered security solution that promises to revolutionize the authentication landscape. A group of fifty-two volunteers with varying ages, professions, and levels of education was chosen for the preparation of the study database. The keystroke pattern and gait of each individual were captured utilizing built-in smartphone sensors in four different sessions. To capture human keystroke patterns four different fixed-texts are considered. Afterward, both keystroke and gait patterns underwent comprehensive analysis employing multiple machine learning algorithms, both in isolation and in combination. The findings indicate that the concurrent utilization of keystroke and gait patterns resulted in a markedly elevated degree of precision in user identification and authentication when compared to the individual application of either of these patterns. The research pathways for the development and integration of this dual-factor authentication system have been outlined properly. It is expected that this comprehensive and multi-tiered authentication approach will substantially enhance security in both physical and digital spaces while ensuring a layer of convenience for the users. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Authentication

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Impact of COVID-19 on Predicting 2020 US Presidential Elections on Social Media 16th

Impact of COVID-19 on Predicting 2020 US Presidential Electi...

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16th International Conference on Information Technology and Applications, ICITA 2022

作者： Khan, Asif Zhang, Huaping Boudjellal, Nada Hayat, Bashir Dai, Lin Ahmad, Arshad Al-Hamed, Ahmed School of Computer Science and Technology Beijing Institute of Technology Beijing100081 China The Faculty of New Information and Communication Technologies University Abdelhamid Mehri Constantine 2 Constantine25000 Algeria Institute of Management Sciences Peshawar Peshawar Pakistan Institute of Software Systems Engineering Johannes Kepler University Linz4040 Austria Department of IT and Computer Science Pak-Austria Fachhochschule: Institute of Applied Sciences and Technology Mang Khanpur Road Haripur22620 Pakistan

ISBN: (纸本)9789811993305

By the beginning of 2020, the world woke up to a global pandemic that changed people’s everyday lives and restrained their physical contact. During those times Social Media Platforms (SMPs) were almost the only mean of individual-to-individual and government-to-individuals communications. Therefore, people’s opinions were more expressed on SM. On the other hand, election candidates used SM to promote themselves and engage with voters. In this study, we investigate how COVID-19 affected voters’ opinions through the months of the US presidential campaign and eventually predict the 2020 US Presidential Election results using Twitter’s data. Mainly two types of experiments were conducted and compared;(i) transformer-based, and (ii) rule-based sentiment analysis (SA). In addition, vote shares for the presidential candidates using both approaches were predicted. The results show that the rule-based approach nearly predicts the right winner, Joe Biden with MAE 2.1, outperforming the predicted results from CNBC, Economist/YouGov, and transformer-based (BERTweet) approach, except for RCP (MAE 1.55). © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： COVID-19

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Optimal Quantum Circuit Design via Unitary Neural Networks

arXiv

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arXiv 2024年

作者： Zomorodi, Mariam Amini, H. Abbaszadeh, M. Sohrabi, J. Salari, V. Plawiak, P. Department of Computer Science Cracow University of Technology Poland Department of Computer Engineering Ferdowsi University of Mashhad Iran Department of Computer Science University College London London United Kingdom Department of Physics Isfahan University of Technology Isfahan Iran Institute for Quantum Science and Technology University of Calgary CalgaryABT2N 1N4 Canada Department of Physics and Astronomy University of Calgary CalgaryABT2N 1N4 Canada

The process of translating a quantum algorithm into a form suitable for implementation on a quantum computing platform is crucial but yet challenging. This entails specifying quantum operations with precision, a typically intricate task. In this paper, we present an alternative approach: an automated method for synthesizing the functionality of a quantum algorithm into a quantum circuit model representation. Our methodology involves training a neural network model using diverse input-output mappings of the quantum algorithm. We demonstrate that this trained model can effectively generate a quantum circuit model equivalent to the original algorithm. Remarkably, our observations indicate that the trained model achieves near-perfect mapping of unseen inputs to their respective outputs. © 2024, CC BY.

关键词： Quantum computers

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Mechanisms of reproductive isolation between annual and perennial plants of Incarvillea sinensis

引用

植物分类学报 2024年第3期62卷 548-560页

作者： Wen-Juan Lan Fang-Yuan Wang Spencer C.H.Barrett Wen-Ting Wang Yue Ma Yang Yang Nan Li Jun-Chen Deng Wei-Ning Bai Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering College of Life SciencesBeijing Normal UniversityBeijing 100875China Department of Ecology and Evolutionary Biology University of TorontoToronto M5S 3B2ONCanada School of Mathematics and Computer Science Northwest Minzu UniversityLanzhou 730030China Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering College of Life SciencesBeijing Normal UniversityBeijing 100875China Institute of Environmental Sciences Faculty of BiologyJagiellonian UniversityGronostajowa 7Kraków 30-387Poland Doctoral School of Exact and Natural Sciences Jagiellonian UniversityGronostajowa 7Kraków 30-387Poland

Quantifying the relative strength of isolating barriers is a major focus of research on plant *** life histories and mating systems have the potential to limit gene exchange between closely related populations growing in ***,few studies have quantified reproductive isolating barriers between conspecific annual and perennial populations and their contributions to total reproductive isolation(RI).Incarvillea sinensis Lam.(Bignoniaceae)is an insect-pollinated herb with largely allopatric annual and perennial populations that differ in mating *** perennial populations are primarily outcrossing whereas annual populations are predominantly *** a rare sympatric site in northern China we estimated prezygotic and postzygotic barriers to gene exchange between annual and perennial plants and found complete Rl between the two life *** exhibited significantly higher ecogeographic isolation than perennials whereas perennials experienced more isolation through pollen-pistil interactions than *** between annuals and perennials demonstrated that postzygotic barriers influencing fruit and seed formation,F1 germination and survival were negligible for annuals but played a small role for ***,F,hybrids of crosses between annuals and perennials produced no pollen and their ovules were largely *** study provides insight into the relative importance of prezygotic and postzygotic isolating barriers between closely related annual and perennial populations of *** and some of these barriers could have been involved with *** and perennials of *** represent two biological species and thus deserve to be recognized as distinct taxonomic species.

关键词： asymmetric barriers to gene exchange Incarvillea sinensis life history mating system reproductive isolation

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