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A Hypothesis Testing-based Framework for Cyber Deception with Sludging 60

A Hypothesis Testing-based Framework for Cyber Deception wit...

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60th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2024

作者： Kumar, Abhinav Brahma, Swastik Geng. Baocheng.Kamhoua, Charles A. Varshney, Pramod K. University of Cincinnati Department of Computer Science OH United States University of Alabama Department of Computer Science BirminghamAL United States Network Security Branch DEVCOM Army Research Laboratory MD United States Syracuse University Dept. of Electrical Eng. and Computer Science NY United States

ISBN: (纸本)9798331541033

In this paper, we present a novel hypothesis testing framework to model an attacker's decision-making during the reconnaissance phase and employ the framework to design strategic deception strategies that can provide the attacker with optimally falsified information structures. We characterize the criterion for such structures to 'blind' the attacker, i.e., to completely confuse it, as well as the optimal falsification strategy when the attacker cannot be blinded. We also characterize optimal information acquisition costs that can be imposed on the attacker to maximally 'sludge' its decision-making process during the reconnaissance phase. Numerical results have been presented to gain important insights into the developed strategies. © 2024 IEEE.

关键词： Cyber attacks

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Color and Grayscale Pencil Image Translation Into Realistic Images Using Generative Adversarial Networks

Color and Grayscale Pencil Image Translation Into Realistic ...

引用

Advanced Research in Computing (ICARC), International Conference on

作者： R. K. B. Yeshani Charith Chiththranjan Dept. of Computer Science and Eng. University of Moratuwa Sri Lanka

ISBN: (数字)9798331530983

ISBN: (纸本)9798331530990

This work presents an innovative approach to image-to-image translation, focusing on converting colour pencil images, grayscale pencil images, and grayscale images into RGB images using the Pix2Pix GAN. Building upon the established Pix2Pix framework, which utilizes a U-Net based architecture with skip connections for the generator and a Patch-GAN discriminator. This aims to refine the translation process, addressing the images’ intricate details and colour dynamics. Empirical results demonstrate that this generator architecture significantly outper- forms the U-Net architecture in producing more vivid, detailed and accurate RGB images. By leveraging this method, the study not only contributes to the body of knowledge in neural network applications for artistic image translation but also opens new avenues for further researches in image translations. This work underscores the potential of targeted architectural modifications within GAN frameworks to achieve image translation outcomes, thereby setting a precedent for future explorations in the field.

关键词： Knowledge eng.neering Translation Image color analysis Architecture Neural networks Focusing computer architecture Gray-scale Generative adversarial networks Generators

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MCFGV: Maximizing Communications and Fairness for Groups of Vehicles

MCFGV: Maximizing Communications and Fairness for Groups of ...

引用

IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

作者： Pronab Ghosh Dariush Ebrahimi Fadi Alzhouri Thiago Eustaquio Alves De Oliveira Dept. of Computer Science Lakehead University Thunder Bay Ontario Canada Dept. of Computer Science Wilfrid Laurier University Waterloo Ontario Canada Dept. of Elec. & Computer Eng. Concordia University Montreal Quebec Canada

Maximizing vehicle-to-vehicle (V2V) communications have become crucial for ever-increasing demands for more complicated vehicular applications of smart cities. In this study, the problem of establishing communications between all pairs of vehicles in a group by considering relaying data packets is investigated. The objective is to maximize the total number of communications for groups of vehicles while maintaining fairness among all V2V communication pairs (MCFGV). Reusing resource blocks under the signal-to-interference-plus-noise ratio (SINR) constraint is allowed. We first mathematically formulate the MCFGV problem to find optimal solutions. Then, due to NP-hardness of the problem, we propose a scalable method to solve it for large networks. Finally, through numerical results, the proposed method is compared with the optimum solutions for small networks, and its performance on larger instances is compared to a baseline heuristic.

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Color and Grayscale Pencil Image Translation Into Realistic Images Using Generative Adversarial Networks 5

Color and Grayscale Pencil Image Translation Into Realistic ...

引用

5th International Conference on Advanced Research in Computing, ICARC 2025

作者： Yeshani, R.K.B. Chiththranjan, Charith University of Moratuwa Dept. of Computer Science and Eng. Sri Lanka

ISBN: (纸本)9798331530983

This work presents an innovative approach to image-to-image translation, focusing on converting colour pencil images, grayscale pencil images, and grayscale images into RGB images using the Pix2Pix GAN. Building upon the established Pix2Pix framework, which utilizes a U-Net based architecture with skip connections for the generator and a Patch-GAN discriminator. This aims to refine the translation process, addressing the images' intricate details and colour dynamics. Empirical results demonstrate that this generator architecture significantly outper- forms the U-Net architecture in producing more vivid, detailed and accurate RGB images. By leveraging this method, the study not only contributes to the body of knowledge in neural network applications for artistic image translation but also opens new avenues for further researches in image translations. This work underscores the potential of targeted architectural modifications within GAN frameworks to achieve image translation outcomes, thereby setting a precedent for future explorations in the field. © 2025 IEEE.

关键词： Deep learning

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Detecting Fake Reviews on E-commerce Platforms Using Machine Learning

Detecting Fake Reviews on E-commerce Platforms Using Machine...

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Blockchain and Distributed Systems Security (ICBDS), IEEE International Conference on

作者： Ansh Vashist Arul Keswani Varda Pareek Tarun Jain Dept. of Computer Science & Eng. Manipal University Jaipur

ISBN: (数字)9798350354348

ISBN: (纸本)9798350354355

Currently, reviews on different e-commerce websites are fake and mostly posted by the company itself to increase the reach or sale of the product itself. These reviews are mostly generated by different bots or written manually. This study provides a novel framework that combines machine learning (ML) and natural language processing (NLP) methods to identify fraudulent reviews on e-commerce platforms. The system is subjected to extensive data preparation and feature extraction, utilising cutting-edge natural language processing techniques to identify subtle linguistic patterns and emotions. By utilising supervised and unsupervised machine learning methods, together with ensemble learning for enhanced precision, the model successfully differentiates between authentic and fraudulent reviews. Experiments conducted on real-world datasets show that the system performs robustly, avoiding false positives, while maintaining high detection rates. This study makes a substantial contribution to improving the integrity of e-commerce platforms by offering workable solutions to prevent fraud and protect customer confidence.

关键词： Accuracy Reviews Forestry Linguistics Feature extraction Natural language processing Fraud elec.ronic commerce Security Fake news

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Enhancing Drug Detection Strategies for Post-Rehabilitated Juveniles: A Comprehensive Review and Empirical Study 1

Enhancing Drug Detection Strategies for Post-Rehabilitated J...

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1st IEEE International Conference on Advances in Computing, Communication and Networking, ICAC2N 2024

作者： Kaushik, Priyanka Gour, Prabha Bir, Lovish Ansari, Lubna Samnata, Rojalini Soundarya, R. Chandigarh University Dept. of Computer Science Engineering Chandigarh India Madhav University Dept. of Humanities and S.Science Pindwara India Chandigarh University Dept. of of Com. Science Engineering Chandigarh India Mangalayatan University Dept. of Computer Eng. and Applications Aligarh India Usha Martin University Dept. of Pharamcy Jharkhand India Dhanalakshmi Srinivasan College Dept. of Biomedical Engineering Coimbatore India

ISBN: (纸本)9798350356816

Drug addiction is a complex problem that will affect individuals of all ages, including juveniles. It is a chronic and often relapsing disease that requires continued care and support to help individuals achieve and maintain long-term recovery. While rehabilitation programs are designed to help individuals overcome addiction, relapse rates remain high, making post-rehabilitation drug detection an important component of continued care. This study aims to investigate the efficacy of various drug detection techniques for juveniles who have completed their rehabilitation. The success of rehabilitation program for young drug addicts depends on the creation of efficient drug detection rules and procedures that can assist avoid relapse and increase program effectiveness overall. The research technique comprises both an empirical investigation of post-rehabilitated juvenile participants and a thorough evaluation of the literature of past studies on drug detection for young people. The results of this study will have a big impact on how well drug detection policies and practises for young people who have completed their rehabilitation are developed. © 2024 IEEE.

关键词： Addiction Drug Post Rehabilitated Rehabilitation

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Security Coding Scheme for Satellite Communications

Security Coding Scheme for Satellite Communications

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2024 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2024

作者： Chen, Jong-Shin Sheu, Yung-Hoh Yang, Cheng.Ying Yao, Jenq-Foung J.F. Hwang, Min-Shiang Dept. of Info. and Comm. Eng. Chaoyang Uni. of Tech Taichung Taiwan Department of Computer Science and Information Engineering National Formosa University Yunlin Taiwan Department of Computer Science University of Taipei Taipei Taiwan Dept of Computer Science Georgia College and State University Milledgeville United States Dept. of C.S. & Info. Eng. Fintech and Blockchain Research Center Asia University Taichung Taiwan Dept. of Medical Research University Hospital China Medical University Taichung Taiwan

ISBN: (纸本)9798350389210

The major goal of a secure coding is to enable the authentic receiver could successfully recover the original message from the source. However. the satellite communications provide an open wireless environment. It hardly protects the transmitted information from the eavesdroppers. Usually, the secure system employs the encryption, authorization and authentication schemes to avoid from the attacks. However, the undesired attacks have been continuously developed. In order to reduce the computing resource exhausted in the encryptions. Physical layer security coding based on Shannon's perfect secrecy, error-free cryptogram, might be applied to the satellite communications. Moreover, the coding scheme could reach the required critical security capacity. Also, it could approach the low error probability. However, the information rate and the coding rate will suffer the system performance. To tradeoff the security level, information rate and coding rate could be the important issue in the satellite communications. © 2024 IEEE.

关键词： Coding rate Information rate Physical-layer security Coding Secrecy capacity Shannon theorem

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Ku-Band Low Noise Amplifier with TR Switch

Ku-Band Low Noise Amplifier with TR Switch

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2023 IET International Conference on eng.neering Technologies and Applications, ICETA 2023

作者： Islam, Tanvir Yeh, Chien-Wen Chen, Wei-Yang Luo, Jun-Wei Lai, Wen-Cheng Dept. of Electrical & Computer Eng. University of Houston HoustonTX77204 United States Dept. of Electronic Eng. National Formosa University of Science and Technology Taiwan Dept. of Electronic Eng. National Taiwan University of Science and Technology Taipei Taiwan Dept. of Electrical Eng. Ming Chi University of Technology New Taipei City Taiwan

ISBN: (纸本)9781839539848

This letter presents Ku-band low noise amplifier (LNA) with TR switch circuit design that uses common source cascade. The integrated third stage LNA with TR switch circuit is fabricated by the tsmc 0.18 um CMOS process with its noise figure of 2.653 to 2.771 dB, stability more than 3.8, respectively. Overall chipset dimension of 0.914 × 0.914 mm2 © The Institution of eng.neering & Technology 2023.

关键词： Low noise amplifiers

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A Lightweight and Efficient Scheme for e-Health Care System using Blockchain Technology 6

A Lightweight and Efficient Scheme for e-Health Care System ...

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6th International Conference on Information Systems and computer Networks, ISCON 2023

作者： Saxena, Sandeep Arya, Namita Bharti, Sunil Kumar Dwivedi, Vimal Gniot Dept. of Cse Greater Noida India Galgotias University Dept. of Cse Greater Noida India Gcet Dept. of It Greater Noida India Institute of Computer Science University of Taru Estonia School of Elec. Elect. Engg. and Computer Science Queens University Northern Ireland Belfast United Kingdom

ISBN: (纸本)9798350346961

We are witnessed to the huge amount of health care information is processed via Internet and uploaded to the servers. Hence, the network content suffers from various challeng.s in handling this wide range of information such as privacy-preservation, message requests, and sharing of information with the entities. Protection of health care information with less communication overhead and avoid signaling congestion among entities is the biggest concern. We suggest a simple and effective blockchain-based system for e-health care in order to address these problems. We attempt to show the collective trust between receiver/ users and key generation center (KGC). Due to the characteristics such as tamper-resistant of transactions and responsiveness, the blockchain technology maintains the data access policy and privacy of each receiver/ users. In addition, we provide the public transactions apparently with the help of miners. Also, the performance analysis shows that the protocol is free from all the security attacks and avoid the signaling congestion with less overhead.. © 2023 IEEE.

关键词： Blockchain

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Proof of Equation: A Novel Consensus Algorithm for Dynamic Spectrum Access 16

Proof of Equation: A Novel Consensus Algorithm for Dynamic S...

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16th IEEE AFRICON, AFRICON 2023

作者： Silva, Thiwanka Bamunuge, Madhushika Dissanayake, Dilusha Seneviratne, Chatura Gamage, Tharindu Liyanage, Madhusanka University of Ruhuna Faculty of Engineering Dept. of Electrical and Information Eng. Sri Lanka School of Computer Science University College of Dublin Ireland

ISBN: (纸本)9798350336214

The future of communication technology is moving from 5G to 6G with new innovations. Blockchain (BC) is a such immersive technology that significantly impacts the betterment of communication technology. BC-based spectrum-sharing solutions can be used in Dynamic Spectrum Access (DSA) systems to fulfill the need for secure and efficient communication. With the invention of cognitive radio networks, DSA became a popular topic for the scientific community. Spectrum misuse/violations can occur due to the rapid growth of spectrum sharing. As the system is open to malicious attacks, licensed spectrum owners must be identified and verified. However, the existing BC-based DSA solutions are more expensive, non-optimized, and lack spectrum misuse detection. This paper proposes a novel consensus algorithm called 'Proof of Equation' for spectrum misuse detection. The core of the proposed algorithm is a consensus score calculation based on a numerical equation with three parameters rather than using cryptographic calculations. The performance of the proposed algorithm is studied using Python simulations, and simulation results show that the proposed algorithm outperforms the Proof of Work (PoW) and Proof of Stake (PoS) consensus algorithms in terms of block production time. © 2023 IEEE.

关键词： Smart contract

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