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Decision Aid Sciences and Application (DASA), International Conference on

作者： Amjed Abbas Ahmed Saif Aamer Fadhil Ali Hamza Najim Khattab M. Ali Alheeti Nurhizam Safie Mohd Satar Aisha Hassan Abdallah Hashim Faculty of Information Science and Technology Center for Cyber Security Universiti Kebangsaan Malaysia Bangi Malaysia Department of Computer Techniques Engineering Imam AlKadhum College (IKC) Baghdad Iraq Department of Computer Technical Engineering Imam Al-Kadhum College (IKC) Baghdad Iraq Computer Networking Systems Department College of Computer and Information Technology University of Anbar Anbar Iraq Faculty of Information Science and Technology Center for Cyber Security Universiti Kebangsaan Malaysia (UKM) Bangi Malaysia Department of Electrical and Computer Engineering Faculty of Engineering International Islamic University Malaysia Selangor Malaysia

ISBN: (数字)9798350369106

ISBN: (纸本)9798350369113

Mobile Ad Hoc Networks (MANETs) are characterized by some important attributes, including infrastructure, mobile, and dynamic nature, which makes them have vast applications in different areas of computer networks. The black hole attack falls among the strongly criticized security threats within the framework of the MANETs. This deceptive behavior captures data packets from a source destined for the malicious node and then declines them when they are received. This paper comprehensively reviews prior studies done to analyze and mitigate black hole attacks in MANETs. Besides this, we will conduct a comparative analysis of the research above projects. The present paper extends prior work by actually performing the black hole assault simulations in a MANETs environment. This is done with the aid of the NS2 simulator and the Ad Hoc On-Demands Distance Vector (AODV) routing protocol. In this study, the black hole attack is analyzed and the consequences of the attack are assessed in terms of the system performance and security. We analyze crucial parameters like end-to-end latency, PDR, packet drop, and throughput to evaluate the consequences of this assault. From our results derived from the analysis of our simulations, we aim to present substantial points to do with the impacts of blackhole attacks on MANETs. In this way, our goal is to participate in the perpetually evolving efforts aimed at enhancing the security and reliability of such dynamic networks.

关键词： computer network reliability Collaboration Throughput Ad hoc networks Vectors security Reliability Mobile computing AODV Mobile ad hoc networks

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Low-Complexity PSCL Decoding of Polar Codes

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IEEE Transactions on Communications 2025年

作者： Yao, Xinyuanmeng Ma, Xiao Ningbo University of Technology School of Cyber Science and Engineering Ningbo315211 China Sun Yat-sen University School of Computer Science and Engineering Guangdong Province Key Laboratory of Information Security Technology Guangzhou510006 China School of Computer Science and Engineering China Sun Yat-sen University Guangdong Province Key Laboratory of Information Security Technology Guangzhou510006 China

Successive cancellation list (SCL) decoding enables polar codes and their generalizations to deliver satisfactory performance in finite-length scenarios but it comes with high latency and complexity. To reduce latency, a partitioned SCL (PSCL) decoding algorithm, implemented over a PSCL decoding tree, can be utilized. In this work, we aim to lower down the complexity of the PSCL decoding, resulting in an efficient decoding algorithm with low latency and complexity for polar-like codes. To achieve this, we define two metrics at each level of the PSCL decoding tree. One is for evaluating the reliability of a path and the other is for evaluating the reliability of a list of paths. Then, we propose a double-threshold strategy in the PSCL decoding process where unreliable valid paths are pruned based on the first metric, and then the smallest reliable list of paths is selected to continue based on the second metric. Simulation results demonstrate that when polar/CRC-polar/PAC codes are decoded using the proposed low-complexity PSCL decoder, both the sorting complexity and the computational complexity are reduced and significantly decrease as the signal-to-noise ratio (SNR) increases. © 1972-2012 IEEE.

关键词： Decoding

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Remote Sensing Target Recognition Model Based on Small Sample Image Generation 4

Remote Sensing Target Recognition Model Based on Small Sampl...

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4th International Symposium on computer engineering and Intelligent Communications, ISCEIC 2023

作者： Chen, Lei Sun, Liting Space Engineering University School of Space Information Beijing China Beijing Institute of Computer Technology and Application General Department of Network and Information Security Beijing China

ISBN: (纸本)9798350306323

In recent years, remote sensing object recognition methods based on deep learning have received extensive attention. Deep learning methods need to use a large number of labeled data to carry out network training. However, the cost of labeling remote sensing image data is very high. Therefore, how to use a small number of labeled target images to train the remote sensing target classifier with high performance is an urgent problem to be solved. In view of the above problems, this paper has carried out the following work. Firstly, based on WGAN-GP, this paper optimizes the constraint conditions of neural network and proposes a depth generation model, namely CCWGAN-GP, for remote sensing image generation. Secondly, this paper proposes a remote sensing target classification model SCLNet, which makes full use of the original one-hot label and the generated soft classification label to train the neural network. Experimental results show that the proposed model can generate highly similar images to real images, and can significantly improve the performance of the classifier under training conditions with only a few labels. © 2023 IEEE.

关键词： Remote sensing

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Pioneering Advanced Deep Multi-Task Learning Model for Precise COVID-19 Diagnosis 2

Pioneering Advanced Deep Multi-Task Learning Model for Preci...

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2nd International engineering Conference on Electrical, Energy, and Artificial Intelligence, EICEEAI 2023

作者： Kordnoori, Shirin Alqammaz, Abdullah Sabeti, Maliheh Boostani, Reza Mostafaei, Hamidreza Agha Banihashemi, Saeed Seyed Islamic Azad University North Tehran Branch Department of Computer Engineering Tehran Iran Zarqa University Faculty of Information Technology Department of Cyber Security Zarqa Jordan College of Engineering University of Business and Technology Jeddah21448 Saudi Arabia Shiraz University Faculty of Electrical and Computer Engineering Cse and It Departmnet Shiraz Iran Islamic Azad University Shiraz University North Tehran Branch Department of Statistics Tehran Iran Islamic Azad University North Tehran Branch Department of Mathematics Tehran Iran

ISBN: (纸本)9798350373363

To address the urgent need for intelligent systems capable of simultaneously identifying COVID-19 cases and delineating lung infection regions in CT scan images, we introduce a multi-task architecture. Initially, our model, an enhanced U-Net with a classification branch, aims to balance segmentation and classification tasks using binary preprocessing algorithms. The CBAM attention module further improves task coherence. Rigorous evaluation demonstrates our model's superiority over previous studies, achieving an impressive 95% classification accuracy and a Dice index of 88.37 ± 0.01 for segmentation, supported by robust metrics. We also extend our multi-task framework to complex U-Net++ and ResUNet architectures with positive outcomes. Future exploration includes integrating ensemble learning within this framework. Our work signifies significant progress in enhancing diagnostic capabilities in complex medical image analysis, elevating standards for COVID-19 detection and lung infection analysis through multi-task learning and shared feature extraction. © 2023 IEEE.

关键词： COVID-19

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A robust and automatic method for the recognition of speech category in online learning discourse

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Journal of Ambient Intelligence and Humanized Computing 2024年第12期15卷 3913-3924页

作者： Jiang, Dazhi He, Zhihui Chen, Yifei Xu, Linyan Lin, Jiali Guangdong Provincial Key Laboratory of Information Security Technology Sun Yat-sen University Guangzhou510399 China Department of Computer Science Shantou University Shantou515063 China Department of Management Economics and Industrial Engineering Politecnico di Milano MI Milan20156 Italy School of Business Shantou University Shantou515063 China

It is a rapid and irresistible developing trend that the traditional classroom learning mode is transformed into an online learning mode. In the online learning process, it is important to achieve effective voice separation and provide a good lecture experience for students. In this paper, a robust and automatic method for the recognition of speech categories (teacher speech, student speech, silence speech and overlapping speech) is presented. The system, which is part of artificial intelligence in education (AIED), is a hybrid speech processing system that includes GMM modeling, GMM clustering, silence processing and overlapping processing. The online learning environment we are based on is not a customized environment that defines the roles of teachers or students, but a more casual, broader and more general online environment. The method proposed and designed based on this situation has better adaptability and scalability. The experimental results show that our automatic detection of speech categories fares well when compared to the results from professional coders. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Contrastive Learning

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Cancelable Speaker Identification System Based on Optical-Like Encryption Algorithms

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computer Systems Science & engineering 2022年第10期43卷 87-102页

作者： Safaa El-Gazar Walid El-Shafai Ghada El-Banby Hesham F.A.Hamed Gerges M.Salama Mohammed Abd-Elnaby Fathi E.Abd El-Samie Department of Electrical Engineering Faculty of EngineeringEgyptian-Russian UniversityCairoEgypt Department of Electronics and Electrical Communications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Security Engineering Laboratory Department of Computer SciencePrince Sultan UniversityRiyadh11586Saudi Arabia Department of Industrial Electronics and Control Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh84428Saudi Arabia

Biometric authentication is a rapidly growing trend that is gaining increasing attention in the last *** achieves safe access to systems using biometrics instead of the traditional *** utilization of a biometric in its original format makes it usable only ***,a cancelable biometric template should be used,so that it can be replaced when it is *** biometrics aims to enhance the security and privacy of biometric *** encryption is an efficient technique to be used in order to generate cancelable biometric *** this paper,a highly-secure encryption algorithm is proposed to ensure secure biometric data in verification *** considered biometric in this paper is the speech *** speech signal is transformed into its ***,the spectrogram is encrypted using two cascaded optical encryption *** first algorithm is the Optical Scanning Holography(OSH)for its efficiency as an encryption *** OSH encrypted spectrogram is encrypted using Double Random Phase Encoding(DRPE)by implementing two Random Phase Masks(RPMs).After the two cascaded optical encryption algorithms,the cancelable template is *** verification is implemented through correlation estimation between enrolled and test templates in their encrypted *** the correlation value is larger than a threshold value,the user is *** threshold value can be determined from the genuine and imposter correlation distribution curves as the midpoint between the two *** implementation of optical encryption is adopted using its software rather than the optical *** efficiency of the proposed cancelable biometric algorithm is illustrated by the simulation *** can improve the biometric data security without deteriorating the recognition *** results give close-to-zero This values for the Equal Error Rate(EER)and close-to-one values for the Area under Receiver Operator Charact

关键词： Cancelable biometrics spectrogram OSH DRPE EER AROC

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Fuzzy-Based Weighted Federated Machine Learning Approach for Sustainable Energy Management with IoE Integration

Fuzzy-Based Weighted Federated Machine Learning Approach for...

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2024 Systems and Information engineering Design Symposium, SIEDS 2024

作者： Ghazal, Taher M. Iqbal Janjua, Jamshaid Abbas, Sagheer Fatima, Areej Saleem, Muhammad Khan, Muhammad Adnan Alqarafi, Abdulrahman Khalifa University Centre for Cyber Physical Systems Computer Science Department Abu Dhabi United Arab Emirates Universiti Kebangsaan Malaysia Center for Cyber Security Faculty of Information Science and Technology Selangor Malaysia National College of Business Administration and Economics School of Computer Sciences Lahore Pakistan Al-Khawarizmi Institute of Computer Science Lahore Pakistan Bahria University Department of Computer Science Lahore Pakistan LGU Department of Computer Science Lahore Pakistan Minhaj University School of Computer Science Lahore Pakistan Skyline University College School of Computing Sharjah United Arab Emirates Riphah International University Riphah School of Computing and Innovation Lahore Pakistan Taibah University College of Computer Science and Engineering Medina42353 Saudi Arabia

ISBN: (纸本)9798350385144

The considerable surge in energy consumption due to population growth and the use of new technology has posed significant challenges to energy security and the environment. Managing energy consumption on the consumer side is crucial as the demand for energy continues to increase. Consumers need to monitor their daily usage and understand consumption standards to prepare themselves for energy efficiency and cost savings. To address these challenges, a Smart Energy Management System (SEMS) based on the Internet of Energy (IoE) has been developed. This system uses day-Ahead planning and accurate energy availability forecasting to manage energy demand in a smart environment with high sustainable energy penetration. The Fuzzy based Weighted Federated Learning (FWFML) approach is integrated into the system to optimize energy management. The SEMS system monitors energy usage at the user level, and a review of management plans has been introduced to improve energy efficiency in terms of 93.5% accuracy, and 6.5% miss-rate. This research work also highlights future challenges in developing SEMS to increase energy efficiency in a more robust manner. © 2024 IEEE.

关键词： Energy management systems

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Lattice-Based Cryptography and NTRU: Quantum-Resistant Encryption Algorithms 4

Lattice-Based Cryptography and NTRU: Quantum-Resistant Encry...

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4th International Conference on Emerging Systems and Intelligent Computing, ESIC 2024

作者： Nisha, F. Lenin, J. Saravanan, S.K. Rohit, V. Robin Selvam, P.D. Rajmohan, M. Cmr University School of Engineering and Technology Computer Science & Engineering Karnataka Bengaluru India Alliance University Alliance College of Engineering and Design Department of Computer Science & Engineering Karnataka Bengaluru India Simats Saveetha School of Engineering Department of BigData and Network Security Tamil Nadu Chennai India Presidency University Computer Science & Engineering School of Computer Science & Engineering and Information Science Karnataka Bengaluru India Vel Tech High Tech Dr.Rangarajan Dr.Sakunthala Engineering College Department of Electronics and Communication Engineering Tamil Nadu Chennai India Hindustan Institute of Technology and Science Department of Electronics and Communication Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350349856

The quantum-resistant qualities of various encryption methods, such as N-th degree Truncated polynomial Ring Units (NTRU) Encrypt, NTRU Sign, Ring-Lizard, and Kyber protocols are becoming more important in light of the ever-evolving nature of digital threats. An-depth analysis of the mathematical derivation of these algorithms, as well as a determination of their computing efficiency and resistance to quantum assaults is discussed in this paper. Techniques of the Ring-Lizard and Kyber algorithms to lattice-based encryption are analyzed. The study gives an overview of quantum-resistant capabilities of these algorithms and their performance measures. Strengths and weaknesses of the NTRU Encrypt, NTRU Sign, Ring-Lizard, and Kyber algorithms are discussed. The results give useful insights for cybersecurity practitioners, academics, and policymakers, aiding them in making educated choices to protect digital infrastructures against quantum attacks. © 2024 IEEE.

关键词： Polynomials

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A comparative analysis of machine learning models developed from homomorphic encryption based RSA and paillier algorithm 5

A comparative analysis of machine learning models developed ...

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5th International Conference on Intelligent Computing and Control Systems, ICICCS 2021

作者： Kiratsata, Harsh J. Panchal, Mahesh GTU-Graduate School of Engineering and Technology Cyber Security Department Ahmedabad India

ISBN: (纸本)9781665412728

Nowadays, the use of Auto ML for development of machine learning (ML) models is increasing day by day. In which users need to upload their dataset to develop machine learning models. Where security of user's data is a very big problem. Which can be solved using Homomorphic encryption. In this work, first the spiderman correlation of the machine learning models developed using encrypted dataset is compared with each other. In which the algorithms used to encrypt dataset are Homomorphic Encryption (HE) based Rivest Shamir Adleman (RSA) and Paillier algorithm. Where the homomorphic encryption based Rivest Shamir Adleman (RSA) is a multiplicative operation and the HE-based Pailler supports additive operations. These algorithms are used to encrypt data and store it on cloud servers. An in-house key generator is developed to generate keys for HE-based RSA algorithm and used this algorithm to encrypt data. Then a comparison between the time taken by these algorithms to encrypt the data and develop the machine learning model using Azure auto Machine Learning is done where the HE-based RSA algorithm is winner. © 2021 IEEE.

关键词： Cryptography

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Implementation of Maximum Weighted Independent Set through Brute Force and Greedy Heuristics Approaches

Implementation of Maximum Weighted Independent Set through B...

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2024 International Conference on Intelligent Algorithms for Computational Intelligence Systems, IACIS 2024

作者： Noonari, Nooruddin Arshid, Kaleem Fardous, Shamaila Karim, Javed Duraisamy, Sathishkumar Iba Community College Department of Computer Science Naushahro Feroze Sindh Pakistan University of Genova Diten Genova Italy Beijing Institute of Technology Institute of Technology Beijing China University of Genova Strategic and Security Engineering Italy Kathir College of Engineering Dept of Mechanical Engineering Tamilnadu India

ISBN: (纸本)9798350360660

The optimization problem of the Maximum Weighted Independent Set (MWIS) in graph theory is a significant challenge with wide-ranging applications in resource allocation, network design, and scheduling. This paper introduces algorithmic insights using Greedy Heuristics (GH) and Exhaustive Search (ES) methods for MWIS implementation. Implementations are conducted on graphs with varying weights and sizes (12.5%, 25%, 50%), and evaluation parameters include the number of vertices and edges. The study reveals that GH achieves MWIS outcomes with fewer operations and tests compared to ES, demonstrating its efficiency in solving the MWIS problem. The results suggest that GH is a practical alternative for optimizing large graphs efficiently, balancing solution quality and computational effort. These findings have significant implications for real-world applications requiring quick and effective optimization solutions. © 2024 IEEE.

关键词： Resource allocation

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