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3rd IEEE International Conference on Automation and Computation, AUTOCOM 2025

作者： Swarup, Lakshya Raghotham, Saritha Srinivasmurthy Singh, B.P. Albert Mayan, J. Aneja, Aseem Barisal, Swadhin Ku. Chitkara University Chitkara Centre for Research and Development Himachal Pradesh Baddi174103 India Karnataka Bangalore India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Sathyabama Institute of Science and Technology Department of Computer Science and Engineering Tamil Nadu Chennai India Chitkara University Centre of Research Impact and Outcome Punjab Rajpura140417 India Department of Computer Applications Odisha Bhubaneswar India

ISBN: (纸本)9798331542375

Hybrid cloud environments come into play more each month, this service is becoming increasingly important for security and load balancing. Hybrid cloud environments are too fluid to manage with traditional access control methods and load-balancing solutions. This is where dynamic access control integration comes in. Dynamic access control is a process that enables organizations to define and enforce access controls based on the context of the request, not merely user identities. This could be applied in a hybrid cloud environment to implement access controls based on the whereabouts of users, the kind of data, and the threat level. This is intended to add an extra layer of security as we can limit the users who have permission to access specific resources. You can add dynamic access control to your load-balancing solutions for resource efficiency and performance improvements. It also reduces the possibility of service outage, as more accurate granular access control based on lower visibility to higher certain users making fewer requests at a time than another set can simplify algorithms that tombstone or down-replicated out-of-date servers and thus carve their load across racks of machines. © 2025 IEEE.

关键词： Authorization

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A Green and Secure Model for Fog Computing in Mobile Cloud Environments Using Containerization 3

A Green and Secure Model for Fog Computing in Mobile Cloud E...

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3rd IEEE International Conference on Automation and Computation, AUTOCOM 2025

作者： Patra, Bichitrananda Seth, Kanika Mithun Kumar, S. Acharjya, Kalyan Ankayarkanni, B. Kundra, Danish Department of Computer Applications Odisha Bhubaneswar India Chitkara University Chitkara Centre for Research and Development Himachal Pradesh Baddi174103 India Karnataka Bangalore India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Sathyabama Institute of Science and Technology Department of Computer Science and Engineering Tamil Nadu Chennai India Chitkara University Centre of Research Impact and Outcome Punjab Rajpura140417 India

ISBN: (纸本)9798331542375

Internet of Things devices, and mobile computing, there is a growing demand for effective data processing where computation meets network traffic. Here, the fog computing concept has emerged to cater to this demand through a decentralized architecture that allows the processing and storing of data closer to end-users. Despite this, the dynamic and diverse fog computing ecosystem delivers security threats and resource efficiency challenges. This article introduces a solution for it, called the Green and Secure Model for Fog Computing in Mobile Cloud Environments, by implementing container architecture. Containers allow applications with dependencies to be bundled together for improved portability, scalability, and resource utilization models such as GSM-FCMCE. Moreover, the model contains an intelligent security layer where encryption and data- authentication and access control paradigms-help protect volatile information from malicious attacks. In addition, the proposed model adopts green computing techniques to minimize energy utilization and increase sustainability in fog-based environments. By performing many experiments and simulations, the efficiency in terms of security achieved based on the GSM-FCMCE model works to minimize energy waste rate and increase resource utilization. It would seem quite a viable model for the cloud computing community to solve some of these fog-related issues and introduce more sustainable & secure mobile data processing. © 2025 IEEE.

关键词： Authentication

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Physical Layer Security Techniques for Wireless Communication systems 3

Physical Layer Security Techniques for Wireless Communicatio...

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3rd IEEE International Conference on Automation and Computation, AUTOCOM 2025

作者： Nagpal, Manish Pattnaik, Sampa Chau Baxi, Paramjit Hannah Jessie Rani, R. Canessane, R. Aroul Chaudhary, Pavan Chitkara University Centre of Research Impact and Outcome Punjab Rajpura140417 India Department of Computer Applications Odisha Bhubaneswar India Chitkara University Chitkara Centre for Research and Development Himachal Pradesh Baddi174103 India Karnataka Bangalore India Sathyabama Institute of Science and Technology Department of Computer Science and Engineering Tamil Nadu Chennai India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India

ISBN: (纸本)9798331542375

One of the most important issues for secure communication in the physical layer is developing physical layer security techniques to provide confidentiality and data integrity in wireless communication systems. The properties of the physical channel are used in these methodologies to safeguard communication from eavesdropping and some other security threats. This article presents physical layer security methods that can be implemented in wireless communication systems. Artificial Noise (AN) is one of the most popular techniques. The original signal is combined with a generated by the transmitter in such a way that eavesdroppers cannot easily decode the data. Cooperative Anti-jamming: Yet another strategy for jammer localization is to employ cooperative jamming, where multiple friendly users can add noise signals over the signal in an effort to confuse potential eavesdroppers. In addition, additional technologies such as multi-input multi-output beamforming and transmit power control can further improve the security of wireless communication systems. In this regard, strategies based on game theory have been proposed as a viable alternative to enhancing physical layer security. Viewing the interaction between the transmitter, receiver, and eavesdropper as a game allows us to reveal their optimal strategies and security levels. © 2025 IEEE.

关键词： Signaling

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QoE-Based Resource Allocation in Wireless Networks: An Analysis 3

QoE-Based Resource Allocation in Wireless Networks: An Analy...

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3rd IEEE International Conference on Automation and Computation, AUTOCOM 2025

作者： Agarwal, Trapty Grover, Madhur Sahu, Madhusmita Ojha, Varun Sunil, M.P. Saravanan, M. Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Centre of Research Impact and Outcome Chitkara University Punjab Rajpura140417 India Department of Computer Applications Odisha Bhubaneswar India Chitkara Centre for Research and Development Chitkara University Himachal Pradesh Baddi174103 India Karnataka Bangalore India Sathyabama Institute of Science and Technology Department of Computer Science and Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798331542375

Wireless networks are developing quickly and can avoid providing an increasing number of services such as video streaming, online games, or real-time communication. However, the quality of experience when accessing content over these networks is still at stake;end-users are concerned with constraints like network congestion, channel quality, and resources provided. In the literature, several proposals, such as QoE-aware resource allocation strategies, have been suggested to tackle this issue. This technical abstract considers QoE-driven approaches for resource allocation in wireless networks. These approaches are employed to facilitate users' perceived QoE by selectively provisioning the users with adequate network resources according to their QoS demands. For example, the analysis takes a look at some of these strategies as well as the main factors that inform them when designing for user preferences, network conditions, and resource availability. We then discuss the benefits and limitations of other approaches, such as Fuzzy logic-based methods and game theory-based methods. © 2025 IEEE.

关键词： Resource allocation

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Digital Twin for mobility: simulation integrated approach for demand matrices calibration with empirical data

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Transportation research Procedia 2025年 86卷 516-523页

作者： Anna Laura Pala Giovanni Felici Vincenza Torrisi Davide Donato Russo Alessio Salvatore Pierfrancesco Leonardi Giuseppe Stecca Matteo Ignaccolo Giuseppe Inturri National Research Council Institute of Systems Analysis and Computer Science ”Antonio Ruberti” Rome Italy DIAG Sapienza Rome Italy Department of Electric Electronic and Computer Engineering Catania Italy f Department of Bioscience and Territory University of Molise Department of Enterprise Engineering University of Rome ”Tor Vergata” Italy Department of Civil Engineering and Architecture Catania Italy

A Digital Twin for Mobility (DTmob) is based on the digital representation of the real-world transport system. A crucial element underlying the development of such systems is an accurate simulation of traffic flows within the road network, which is generally based on transport demand data in the form of Origin-Destination (O-D) matrices. Estimating demand matrices accurately is a complex challenge, as they are hindered by incomplete data, inaccuracies in transport models and temporal-spatial variability. In this paper we present an integrated methodological approach for the calibration of O-D matrices via the implementation of an iterative calibration procedure incorporating a traffic survey dataset, followed by the assignment procedure performed by a macrosimulation model. This study addresses this issue by employing Nielsen’s Single Path Matrix Estimation Method (SPME) jointly with the macrosimulation tool PTV Visum, developing a script in Python to achieve their integration. We tested it on the real-case study of Catania urban road network (Italy). Several scenarios have been analyzed and evaluated through the GEH statistic as KPI, also providing results with Ordinary Least Square (OLS) method as benchmark. Obtained results prove the validity of our integrated framework as the threshold in terms of the difference between estimated and counted flows was satisfied in all performed analyses. research findings lay the basis for investigate further calibration algorithms and for exploring the use of real-time data in line with DTmob requirements.

关键词： Digital Twin transport modelling traffic simulation OD matrix calibration

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Data-Driven Incentive Mechanisms for Federated Learning in Vehicular Networks

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IEEE Transactions on Vehicular Technology 2025年

作者： Fathi, Faeze Montazeri, Mina N.araabi, Babak Du, Hongyang Niyato, Dusit Kebriaei, Hamed University of Tehran School of Ece College of Engineering Tehran Iran Urban Energy Systems Laboratory Dübendorf8600 Switzerland Nanyang Technological University School of Computer Science and Engineering The Energy Research Institute @ Ntu Interdisciplinary Graduate Program Singapore Nanyang Technological University School of Computer Science and Engineering Singapore School of Computer Science Tehran Iran

Centralized machine learning algorithms in vehicular networks face privacy and resource constraints. Federated Learning (FL) addresses these by enabling collaborative model training without sharing raw data. To incentivize vehicle participation despite resource constraints, we propose a contract between Roadside Units (RSUs) and vehicles, specifying required computation resources and rewards based on local data quality. The contract is designed to maximize the utility of the RSU, subject to constraints that ensure the participation of the vehicles in the task and truthful reporting of their data quality parameter. However, designing an optimal contract with classical methods is limited to specific utility functions. To extend the design methodology of optimal contracts to a broader range of utility functions, our study proposes a deep learning-based solution. Specifically, we present a novel application of Deep Neural Networks (DNNs), marking the first instance of applying DNNs in contract theory-based incentive mechanisms to achieve nearoptimal contracts. We design the DNN's structure to inherently satisfy specific constraints of the optimization problem, enhancing its efficiency and accuracy in determining the optimal contract. We utilize an augmented Lagrangian method to approximate the optimal contract in federated learning tasks. A case study on traffic sign recognition demonstrates the applicability and effectiveness of our method. Comparing our approach with the well-known generative diffusion model shows that in the FL scenarios, the DNN results are closer to the optimal contract compared to those of the generative diffusion model. © 1967-2012 IEEE.

关键词： Traffic signs

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A Comprehensive Analysis of Blockchain-Based Cryptographic Framework for Network Security 3

A Comprehensive Analysis of Blockchain-Based Cryptographic F...

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3rd IEEE International Conference on Automation and Computation, AUTOCOM 2025

作者： Vyshnavi, A. Bharathi, B. Singh, Amanveer Aggarwal, Prateek Yadav, Rakesh Kumar Karnataka Bangalore India Sathyabama Institute of Science and Technology Department of Computer Science and Engineering Chennai India Chitkara University Centre of Research Impact and Outcome Punjab Rajpura140417 India Chitkara University Chitkara Centre for Research and Development Himachal Pradesh 174103 India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India

ISBN: (纸本)9798331542375

Blockchain technology is increasingly developing breakthroughs in secure and decentralized data storage. More recently, it has also garnered interest as a possible solution for network security. In particular, this paper conducts an indepth analysis of a network security cryptographic framework using Blockchain. The framework proposed again adopts the principles of blockchain technology, such as decentralization, immutability and consensus, to build a secure data environment for the network. It uses various cryptographic methods, digital signatures and Encryption and hash functions, to guarantee integrity, confidentiality, and authentication. The framework uses smart contracts to automatically execute security checks that can be enforced with predefined and approved methods. In this analysis, we aim to investigate the proposed scheme's effectiveness, scalability, and practicability in typical network security applications. It will also cover the challenges and future research directions in applying this framework in practical scenarios. This analysis will form the basis for a strong cryptographic system on the Blockchain to provide security reinforcement in networks. © 2025 IEEE.

关键词： Network security

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Diabetic Retinopathy Image Classification using Quasi Cross UNet Discrete Transform with Gold Rush Optimizer 2

Diabetic Retinopathy Image Classification using Quasi Cross ...

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2nd International Conference on Machine Learning and Autonomous systems, ICMLAS 2025

作者： Ramkumar, M.Siva Nivetha, R. Kannaiyan, Mathi Kanan, Mohammad Shankar, S. Giri, Jayant SNS College of Technology Dept of ECE India Kumaraguru College of Technology lakshitha Computer Science and Engineering India University college of Kancheepuram Anna University kancheepuram campus department of Mechanical Engineer Kanchipuram631552 India College of Engineering University of Business and Technology Department of Industrial Engineering Jeddah21448 Saudi Arabia College of Engineering Zarqa University Department of Mechanical Engineering Zarqa Jordan Cambridge Institute of Technology Department of Mechanical Engineering Bengaluru560086 India Yeshwantrao Chavan College of Engineering Department of Mechanical Engineering Nagpur India Lovely Professional University Division of Research and Development Phagwara India

ISBN: (纸本)9798331505745

The diagnosis of diabetic retinopathy faces three main challenges which include inconsistent image clarity and weak detection of small visual impairments and little ability to share information between different sets of data. The model suffers from two issues which limit its practical use: high expenses for operations as well as low decision accuracy because of complex tissue dynamics. Using the MESSIDOR dataset as input, this paper illustrates the application of the Quasi Cross UNet Discrete Transform with Gold Rush Optimizer (QCUNet-DT-GRO) algorithm for diabetic retinopathy picture categorization. The Unet Swin Transformer (UST) approach is used to precisely segment areas afflicted by diabetic retinopathy, while the Quasi-Cross Bilateral Filtering (QCBF) methodology improves image quality. The One-Dimensional Discrete Transform (ODDT) is used to extract features. The Gold Rush Optimizer (GdRO) does optimization, while the Gates-Controlled Deep Unfolding Network (GCDUNet) handles classification. The system detects diabetic retinopathy along with distinguishing between normal and diabetic retina structures. According to experimental results, QCUNet-DT-GRO performs better than current techniques, with 99.9% accuracy and 99.8% sensitivity. This method is shown to be a viable substitute for the manual diagnostic processes that are now in use, enabling robotic diagnosis systems in subsequent applications. © 2025 IEEE.

关键词： Image segmentation

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Certificate-Less Healthcare Signature Scheme for Secure Consumer Technology-Centric Wireless Medical Sensor Devices

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IEEE Transactions on Consumer Electronics 2025年

作者： Vimal, Vrince Raina, Vikas Alghamdi, Azzah Majumdar, Parijata Shabaz, Mohammad Rao, G Siva Nageswara Nimma, Divya Keshta, Ismail Soni, Mukesh Mody University of Science and technology Department of CSE SET Laxmangarh Rajasthan SikarNH-52 India Imam Abdalrhman Bin Faisal University College of Computer Science and Information Technology Computer Information Systems Department Khobar Saudi Arabia Indian Institute of Information Technology Department of Computer Science and Engineering Agartala India Model Institute of Engineering and Technology J and K Jammu India Koneru Lakshmaiah Education Foundation Department of Computer Science and Engineering AP Vaddeswaram India The University of Southern Mississippi United States AlMaarefa University College of Applied Sciences Computer Science and Information Systems Department Riyadh Saudi Arabia Lovely Professional University Division of Research and Development Phagwara India

The application of Consumer-Centric Wireless Medical Sensor Devices in the medical field has brought great convenience to doctors and patients. However, the transmission process may compromise patient privacy, making the authenticity and integrity of medical data a significant challenge in the healthcare industry. To address this issue, a certificate-less Healthcare Signature scheme is proposed to protect patient privacy. However, most schemes are unable to resist fully selective cipher text attacks and suffer from key exposure problems. To mitigate these issues, a scheme is proposed to resist fully selective attacks in real-time processing of Consumer-Centric Wireless Medical Sensor Devices with high latency issues, while utilizing parallel key isolation methods to address key exposure problems. The scheme's enforceability is proven based on the random oracle model and the computational Diffie-Hellman assumption, and its resistance to fully selective key attacks is proven based on hash-based collision resistance. It is shown that this plan works well for wireless sensor networks in the medical field. Sensor nodes have limited resources, and sending vast volumes of patient medical data online significantly raises processing and communication costs. The low processing power of edge devices limits the effectiveness and performance of medical services. Efficiency analysis using the MIRACL library demonstrates that the proposed scheme outperforms other relevant schemes in terms of efficiency at each stage, while also having lower communication overhead. © 1975-2011 IEEE.

关键词： Sensor nodes

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Integration of IoT & cloud computing in mobile communication to breach limitation

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International Journal of Information Technology (Singapore) 2025年第1期17卷 539-545页

作者： Kanchan, Pradeep Selvakumar, V. Lavanya, P. Kumar, Ravi Mishra, Awakash Haripriya, V. Ahluwalia, Gunveen Department of Computer Science and Engineering NMAM Institute of TechnologyNitte(Deemed to be University) Karnataka India Department of Maths & Statistics Bhavan’s Vivekananda College of Science Humanities and Commerce Hyderabad India Department of Physics & Electronics Bhavan’s Vivekananda College of Science Humanities and Commerce Hyderabad India Centre of Research Impact and Outcome Chitkara University Punjab Rajpura 140417 India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh Lucknow India Department of Computer Science and Information Technology Jain (Deemed to be University) Karnataka Bangalore India Chitkara Centre for Research and Development Chitkara University Himachal Pradesh 174103 India

The evolution of cloud computing has brought great progress in data processing capabilities but advanced issues still hinder the performance of mobile applications, especially those that require fast interaction and delicate data management. Traditional cloud data centers are geographically distant from end users, which slows data transfer and limits real-time interactions. In response to these challenges, the given paper proposes an Internet of things (IoT) based mobile cloud computing framework for enabling affordable and space-based computing for mobile users. The proposed framework comprises mobile users, controllers and IoT devices. When the mobile client moves across different locations, the data automatically transfers to nearby IoT devices thereby ensuring efficient processing without relying on remote isolated data centres. Lastly, the performance of the proposed framework is validated and compared with existing recent studies based on evaluation metrics such as root mean square error (RMSE), mean absolute error (MAE), computation time (mins) and accuracy (%). © Bharati Vidyapeeth's institute of computer Applications and Management 2024.

关键词： Cloud computing Computation IoT Latency Mobile agent (M-agent)s

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