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A lightweight identity based generalized signcryption scheme for secure communication in standard model

International Journal of Information Technology (Singapore) 2024年第2期16卷 1221-1229页

作者： Singh, Tej Kumar, Mukesh Gelmecha, Demissie Jabir Thakur, Ganesh Kumar Tyagi, Vikas Sori, Worku Jifara Department of Applied Sciences ABES Engineering College UP Ghaziabad India Institute of Applied Sciences & Humanities GLA University UP Mathura India Department of Electronics and Communication Engineering School of Electrical Engineering and Computing Adama Science and Technology University Adama Ethiopia Department of CSE IMS Engineering College UP Ghaziabad India Department of Computer Science School of Electrical Engineering and Computing Adama Science and Technology University Adama Ethiopia

The implementation of secure communication in the Industrial Internet of Things (IIoT) has made and it is a significant security concern. Identity-based generalized signcryption scheme is one among the cryptographic tools available that offers a secure way out to meet the security needs of IIoT. Our proposal is a lightweight scheme, an efficient identity-based generalized signcryption that works as an encryption signature, or signcryption scheme using only one algorithm in a standard model. This scheme is appropriate for storage-limited environments like wireless sensor networks and smart cards due to its lightweight nature. This means that it can be implemented in a range of IIoT applications where resources are limited, without compromising on security or efficiency. © The Author(s), under exclusive licence to Bharati Vidyapeeth's Institute of computer Applications and Management 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s);author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

关键词： Bilinear Pairing Generalized signcryption Identity-based cryptography Signcryption

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Designing Quantum-Resilient Blockchain Frameworks: Enhancing Transactional Security with Quantum Algorithms in Decentralized Ledgers

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International Journal of Advanced computer Science and Applications 2025年第4期16卷 618-628页

作者： Kale, Meenal R. Baker El-Ebiary, Yousef A. Sathiya, L. Burugari, Vijay Kumar Yulduz, Erkiniy Muniyandy, Elangovan Alanazi, Rakan Department of Humanities Yeshwantrao Chavan College of Engineering Hingna Nagpur India Faculty of Informatics and Computing UniSZA University Malaysia Department of CSE Panimalar Engineering College Chennai India Dept of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Vaddeswaram Andhra Pradesh Guntur India Automatic Control and Computer Engineering Department Turin Polytechnic University in Tashkent Tashkent Uzbekistan Department of Biosciences-Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Chennai India Applied Science Research Center Applied Science Private University Amman Jordan Department of Information Technology Faculty of Computing and Information Technology Northern Border University Rafha Saudi Arabia

Quantum computing is progressing at a fast rate and there is a real threat that classical cryptographic methods can be compromised and therefore impact the security of blockchain networks. All of the ways used to secure blockchain like Rivest–Shamir–Adleman (RSA), Elliptic Curve Cryptography (ECC) and Secure Hash Algorithm 256-bit (SHA256) are the characteristic of the traditional cryptographic techniques vulnerable to attack by quantum algorithms: Shor’s and Grover’s algorithms: can efficiently break asymmetric encryption and speed up brute force attacks. Because of this vulnerability, there exists a need to develop an advance quantum resilient blockchain framework to protect the decentralized ledgers from the future threats of the quantum. This research proposes Post-Quantum Cryptography (PQC), Quantum Key Distribution (QKD) and Quantum Random Number Generation (QRNG) as a formidable architectural integration, to fortify security of blockchain. Classical encryption is replaced with PQC, QKD with secure key exchange by detecting eavesdropping, and QRNG with improving cryptographic randomness to remove the predictable key vulnerability. Only with a small loss of transaction efficiency, we increase transaction encryption accuracy, key exchange security, and resistance to quantum attacks. In this quantum enhanced blockchain design, the idea is to preserve the decentralization, transparency and security and at the same time overcome the future quantum threat. By going through rigorous analysis and comparative evaluation, we demonstrate that the approach saves blockchain networks from the emerging quantum risks to make sure that the decentralized finance, smart contracts and cross chain transactions. © (2025), (Science and Information Organization). All rights reserved.

关键词： Quantum cryptography

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Evaluating LSTM and GRU Models for Cryptocurrency Price Forecasting in Financial Markets 3

Evaluating LSTM and GRU Models for Cryptocurrency Price Fore...

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3rd International Conference on Technological Advancements in Computational sciences, ICTACS 2023

作者： Mehra, Isha Tyagi, Manoj Kumar Kanthalia, Shilpa Shree, Tanvi Chaturvedi, Rajnish Kumar Singh, Prabhishek ABES Engineering College Department of Applied Sciences & Humanities Ghaziabad India School of Computer Science and Engineering Galgotias University India Faculty of Management Studies Udaipur India Raj Kumar Goel Institute of Technology Department of Information Technology Ghaziabad India School of Computer Science Engineering and Technology Bennett University India

ISBN: (纸本)9798350342338

Cryptocurrencies are a type of digital money distinguished by a decentralized system that uses encryption to authenticate transactions and keep records, obviating the need for a central authority. A key element of these digital assets is the decentralization of power from a single entity to a dispersed network. The extreme price volatility of cryptocurrencies, on the other hand, has a significant influence on international commerce, making precise price forecasting critical for investors and traders. In this study, the investigation is made on how deep learning models, especially the Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU), may be used to solve the problem of excessive price swings in cryptocurrencies like as Bitcoin, Ethereum, Litecoin, and Dogecoin. Previous research has looked at forecasting methods such as ARIMA and Support Vector Machines (SVM), but the findings have fallen short of the promising results obtained by the deep learning models studied in this work. Our major objective is to create strong forecasting models based on LSTM and GRU, with an emphasis on their ability to make credible forecasts for bitcoin values. We find that GRU consistently beats LSTM for the majority of the cryptocurrencies under consideration by comparing their performance using two separate error prediction approaches, namely mean absolute percentage error (MAPE) and root mean square error (RMSE). This study's findings help to enhance prediction methods for understanding and reducing the impact of cryptocurrency price volatility on international commerce. Deep learning algorithms for projecting bitcoin values give significant insights for investors and decision-makers navigating the volatile and ever-changing terrain of the crypto market. © 2023 IEEE.

关键词： IoT machine learning performance metrics security attacks

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Intelligent Solar Energy Harvesting and Management in IoT Nodes Using Deep Self-Organizing Maps 2

Intelligent Solar Energy Harvesting and Management in IoT No...

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2nd IEEE International Conference on Emerging Research in Computational Science, ICERCS 2024

作者： Shinkar, Anita Rajkumar Joshi, Drumil Praveen, R.V.S. Rajesh, Yelisela Boopalan, K. Singh, Dharmendra Dr. D.Y. Patil College of Engineering Department of Computer Engineering Maharashtra Varale India Southern Power Birmingham Alabama Monitoring & Diagnostics Department India Digital Engineering and Assurance Telangana Hyderabad India KLEF Department of Computer Science & Engineering Andhra Pradesh India Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology School of Computing Tamilnadu India School of Management Sciences Department of Applied Sciences & Humanities Lucknow India

ISBN: (纸本)9798331534950

Smart city energy generation must be efficient and dependable. As a result of studies conducted in this field, reliable control schemes for microgrid management have been developed, which seamlessly integrate with smart building management systems. In order for a building microgrid's solar energy system to recover from problems, this article suggests reliable controllers and the hardware to install them. Training models and Internet of Things (IoT) sensors provide the backbone of this proposed approach. When it comes to organizational and industrial contexts, sensors have evolved significantly with the introduction of the IoT. Pressure, optical, temperature, chemical sensors, and proximity are just a few examples of the many types of data that IoT devices may collect and send through sensor networks, allowing for greater efficiency. The model achieves a 91.37% accuracy rate in solar energy harvesting prediction after being trained using the Extended DSOM. © 2024 IEEE.

关键词： Conformal mapping

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Direct synthesis of large-area Al-doped graphene by chemical vapor deposition:Advancing the substitutionally doped graphene family

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Nano Research 2022年第2期15卷 1310-1318页

作者： Sami Ullah Yu Liu Maria Hasan Wenwen Zeng Qitao Shi Xiaoqin Yang Lei Fu Huy Q.Ta Xueyu Lian Jingyu Sun Ruizhi Yang Lijun Liu Mark H.Rummeli College of Energy Soochow Institute for Energy and Materials Innovations Soochow UniversitySuzhou 215006China Key Laboratory of Advanced Carbon Materials and Wearable Energy Technologies of Jiangsu Province Soochow UniversitySuzhou 215006China NUTECH School of Applied Sciences&Humanities and Computer Engineering Department National University of TechnologyIslamabad 42000Pakistan Centre of Polymer and Carbon Materials Polish Academy of SciencesM.Curie-Sklodowskiej 34Zabrze 41-819Poland School of Energy and Power Engineering Xian Jiaotong UniversityXian 710049China College of Chemistry and Molecular Science Wuhan UniversityWuhan 430072China Institute for Complex Materials IFW Dresden 20 Helmholtz Strasse Dresden 01069Germany Institute of Environmental Technology VSB-Technical University of Ostrava17.listopadu 15Ostrava 70833Czech Republic

Graphene doping continues to gather momentum because it enables graphene properties to be tuned,thereby affording new properties to,improve the performance of,and expand the application potential of *** can be chemically doped using various methods such as surface functionalization,hybrid composites(e.g.,nanoparticle decoration),and substitution doping,wherein C atoms are replaced by foreign ones in the graphene *** works have predicted that graphene could be substitutionally doped by aluminum(Al)atoms,which could hold promise for exciting applications,including hydrogen storage and evolution,and *** theoretical predictions suggest that Al substitutionally doped graphene(AIG)could serve as a material for gas sensors and the catalytic decomposition of undesirable ***,fabricating Al substitutionally doped graphene has proven challenging until ***,we demonstrate how controlled-flow chemical vapor deposition(CVD)implementing a simple solid precursor can yield high-quality and large-area monolayer AIG,and this synthesis is unequivocally confirmed using various characterization methods including local electron energy-loss spectroscopy(EELS).Detailed high-resolution transmission electron microscopy(HRTEM)shows numerous bonding configurations between the Al atoms and the graphene lattice,some of which are not theoretically ***,the produced AIG shows a CO_(2) capturability superior to those of other substitutionally doped graphenes.

关键词： aluminum-doped graphene single-solid precursor chemical vapor deposition carbon dioxide capture energy storage catalytic applications

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Thermally stratified flow of hybrid nanofluids with radiative heat transport and slip mechanism: multiple solutions

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Communications in Theoretical Physics 2022年第1期74卷 142-151页

作者： Rai Sajjad Saif Hashim Maria Zaman Muhammad Ayaz Department of Humanities and Sciences School of Electrical Engineering and Computer Science(SEECS)National University of Sciences and Technology(NUST)IslamabadPakistan Department of Pure&Applied Mathematics University of Haripur22620HaripurPakistan Department of Mathematics&Statistics Riphah International University IslamabadPakistan Department of Mathematics Abdul Wali Khan UniversityMardan23200Pakistan

Research on flow and heat transfer of hybrid nanofluids has gained great significance due to their efficient heat transfer *** fact,hybrid nanofluids are a novel type of fluid designed to enhance heat transfer rate and have a wide range of engineering and industrial *** by this evolution,a theoretical analysis is performed to explore the flow and heat transport characteristics of Cu/Al_(2)O_(3) hybrid nanofluids driven by a stretching/shrinking ***,this work focuses on the physical impacts of thermal stratification as well as thermal radiation during hybrid nanofluid flow in the presence of a velocity slip *** mathematical modelling incorporates the basic conservation laws and Boussinesq *** formulation gives a system of governing partial differential equations which are later reduced into ordinary differential equations via dimensionless *** efficient numerical solver,known as bvp4c in MATLAB,is utilized to acquire multiple(upper and lower)numerical solutions in the case of shrinking *** computed results are presented in the form of flow and temperature *** most significant findings acquired from the current study suggest that multiple solutions exist only in the case of a shrinking surface until a critical/turning ***,solutions are unavailable beyond this turning point,indicating flow *** is found that the fluid temperature has been impressively enhanced by a higher nanoparticle volume fraction for both *** the other hand,the outcomes disclose that the wall shear stress is reduced with higher magnetic field in the case of the second *** simulation outcomes are in excellent agreement with earlier research,with a relative error of less than 1%.

关键词： multiple numerical solutions hybrid nanofluids thermal radiation thermal stratification slip conditions heat transfer

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Darcy-Forchheimer mangetized flow based on differential type nanoliquid capturing Ohmic dissipation effects

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Propulsion and Power Research 2023年第3期12卷 443-455页

作者： M.Waqas Yunjie Xu M.Nasir Md Mottahir Alam Amjad Ali Pasha Kashif Irshad Bandar M.Fadhl M.S.Kausar NUTECH School of Applied Science and Humanities National University of TechnologyIslamabad 44000Pakistan Department of Mechanical Engineeing Lebanese American UniversityBeirutLebanon School of Engineering Huzhou UniversityHuzhou 313000China Faculty of Informatics and Computing University Sultan Zainal AbidinBesut Campus22200 BesutTereng-ganuMalaysia Department of Electrical and Computer Engineering King Abdulaziz UniversityJeddah 21589Saudi Arabia Aerospace Engineering Department King Abdulaziz UniversityJeddah 21589Saudi Arabia Interdisciplinary Research Centre for Renewable Energy and Power System(IRC-REPS) Research InstituteKing Fahd University of Petroleum and Minerals(KFUPM)Dhahran 31261Saudi Arabia Mechanical Engineering Department College of Engineering and Islamic ArchitectureUmm Al-Qura UniversityP.O.Box 5555Makkah 21955Saudi Arabia

Hydromagnetic nanoliquid establish an extraordinary category of nanoliquids that unveil both liquid and magnetic *** interest in the utilization of hydromagnetic nanoliquids as a heat transporting medium stem from a likelihood of regulating its flow along with heat transportation process subjected to an externally imposed magnetic *** analysis reports the hydromagnetic nanoliquid impact on differential type(second-grade)liquid from a convectively heated extending *** well-known Darcy-Forchheimer aspect capturing porosity characteristics is introduced for nonlinear *** conditions elaborating heat-mass transportation effect are *** addition,Ohmic dissipation and suction/injection aspects are also a part of this *** analysis is done by implementing the basic relations of fluid *** modeled physical problem is simplified through order *** resulting systems(partial differential expressions)are rendered to the ordinary ones by utilizing the apposite *** solutions are constructed employing homotopy *** and numeric result are addressed comprehensively to elaborate the nature of sundry parameters against physical *** velocity profile is suppressed with increasing Hartmann number(magnetic parameter)whereas it is enhanced with increment in material parameter(second-grade).With the elevation in thermophoresis parameter,temperature and concentration of nanoparticles are accelerated.

关键词： Darcy-Forchheimer magnetized flow Differential type nanoliquid Ohimc dissipation Robin conditions Homotopy algorithm

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Modeling and numerical analysis of nanoliquid (titanium oxide, graphene oxide) flow viscous fluid with second order velocity slip and entropy generation

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Chinese Journal of Chemical engineering 2021年第3期34卷 17-25页

作者： M.Ijaz Khan Seifedine Kadry Yuming Chu M.Waqas Department of Mathematics Riphah International UniversityFaisalabad CampusFaisalabad 38000Pakistan Department of Mathematics and Computer Science Beirut Arab UniversityBeirutLebanon Department of Mathematics Huzhou UniversityHuzhou 313000China Hunan Provincial Key Laboratory of Mathematical Modeling and Analysis in Engineering Changsha University of Science&TechnologyChangsha 410114China NUTECH School of Applied Sciences and Humanities National University of TechnologyIslamabad 44000Pakistan

The prime objective of the present communication is to examine the entropy-optimized second order velocity slip Darcy–Forchheimer hybrid nanofluid flow of viscous material between two rotating *** conducting flow is considered and saturated through Darcy–Forchheimer *** the disks are rotating with different angular frequencies and stretches with different *** graphene oxide and titanium dioxide are considered for hybrid nanoparticles and water as a continuous phase *** heating,heat generation/absorption and viscous dissipation effects are incorporated in the mathematical modeling of energy ***,binary chemical reaction with activation energy is *** total entropy rate is calculated in the presence of heat transfer irreversibility,fluid friction irreversibility,Joule heating irreversibility,porosity irreversibility and chemical reaction irreversibility through thermodynamics second *** nonlinear governing equations are first converted into ordinary differential equations through implementation of appropriate similarity transformations and then numerical solutions are calculated through Built-in-Shooting *** of sundry flow variables on the entropy generation rate,velocity,concentration,Bejan number,temperature are discussed graphically for both graphene oxide and titanium dioxide hybrid *** engineering interest like skin friction coefficient and Nusselt number are computed numerically and presented through *** is noticed from the obtained results that entropy generation rate and Bejan number have similar effects versus diffusion *** entropy generation rate is more against the higher Brinkman number.

关键词： Darcy-Forchheimer porous medium Titanium dioxide and graphene oxide nanoparticles Second order velocity slip Convective boundary condition Activation energy Heat generation/absorption

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A Numerical Approach to Predict Roller Follower Valve Trian Frictional Torque Considering the Effects of Roller Sliding

A Numerical Approach to Predict Roller Follower Valve Trian ...

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International Bhurban Conference on applied sciences & Technology, IBCAST

作者： Tayyab Ul Islam Muhammad Khurram Ali Raza Idrees Azeem Rizwan Marva Hadia Barira Habib Centers of Excellence in Science & Applied Technologies (CESAT) Islamabad Pakistan Department of Mechanical Engineering National University of Technology (NUTECH) Islamabad Pakistan School of Mechanical & Manufacturing Engineering National University of Sciences & Technology (NUST) Islamabad Pakistan Department of Computer Science Faculty of Sciences University of Agriculture Faisalabad Faisalabad Pakistan

ISBN: (数字)9798331516680

ISBN: (纸本)9798331516697

The efficiency and reliability of engine parts are largely governed by friction. The valve train assembly is considered one of the extremely difficult assemblies in terms of its tribological performance and is often subjected to severe and unsteady functional conditions leading towards friction and wear of components. In this research work, a comprehensive numerical approach addressing mixed lubrication theory will be presented to investigate the frictional performance of a roller follower valve train system considering the impact of roller sliding, asperity interaction and friction arising from associated components under different operating conditions. A direct relationship between total drive torque and camshaft rotational frequency has been found predicting an increase in sliding friction due to roller slip on the camshaft surface. Relatively greater magnitude of roller sliding was observed in cam flank regions resulting in high sliding friction. A rise in hydrodynamic friction was found due to the shearing of a relatively thick oil film at a low lubricant supply temperature.

关键词： Torque Friction Oils Lubricants Valves Lubrication Reliability Camshafts Assembly Shearing

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A Deep Learning Approach for Intelligent IoT based Energy Management System

A Deep Learning Approach for Intelligent IoT based Energy Ma...

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2022 International Conference on Sustainable Computing and Data Communication Systems, ICSCDS 2022

作者： Babuji, R. Pious, Antonitta Eileen Vinu, A Thava Devi, V. Thiripurasundari, D. Kumar, S Satheesh Rmk Engineering College Department of Electronics and Communication Engineering Chennai India Sri Krishna College of Engineering and Technology Department of Science and Humanities Coimbatore India Dmi Engineering College Department of Computer Science and Engineering Chennai India Gurunanak College Department of Computer Applications Chennai India School of Electronics Engineering Vellore Institute of Technology Chennai India University of Technology and Applied Sciences Electrical and Electronics Engineering Muscat Oman

ISBN: (纸本)9781665478847

The intelligent load forecasting is an important part of smart cities, used for the purpose of energy management in an efficient manner. However, there is not much research done on this aspect of energy management (EM) in smart cities, with the help of Internet of Things (IoT). In this work, a new deep learning (DL) methodology is used for predicting the amount of energy consumed within a short period of time, while maintaining proper communication between the users and energy providers. There are multiple stacked spatiotemporal modules present in the Energy-Net stack such that every module is made up of a Spatial Transformer and a Temporal Transformer (TT) sub-module. The temporal relationships are denoted in the TT model while the ST model uses the integration of convolutional layers to extract the hidden spatial information. Experimental observations on the datasets indicate that this methodology proves to be superior when compared with other existing DL methods that have an RMSE of 0.535 and 0.354. Energy Net computational complexity is suitable for IoT devices with dependable resource constraints, in collaboration with IoT cloud server to communicate with the smart grids to manage energy-related tasks. © 2022 IEEE.

关键词： Internet of things

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