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Automation, Computing and Renewable Systems (ICACRS), International Conference on

作者： Nilesh Bhosale Rupesh Pohane Siddhant Meshram Akshaykumar Meshram Malabika Adak K. T. V. Reddy Department of Applied Mathematics Yeshwantrao Chavan College of Engineering Nagpur M.S India Department of Mathematics Suryodaya College of Engineering and Technology Nagpur M.S India Computer Science Department New York University New York NY Faculty of Engineering and Technology Datta Meghe Institute of Medical Sciences (Deemed to be University) Sawangi (Meghe) Wardha M. S India

ISBN: (纸本)9781665460859

Digital data protection frameworks inclusive of cryptographic mechanisms and signature crypto mechanisms are essential for stable data communication in open network systems. An extensive open-key folder is not necessary for $\mathcal{J}\mathcal{D}$ -based crypto mechanisms like $\mathcal{J}\mathcal{D}$ -based crypto mechanisms, the $\mathcal{J}\mathcal{D}$ basedsignature mechanisms, else $\mathcal{J}\mathcal{D}$ -basedkey circulation mechanisms are between the enhanced an opposing for create stable and protected digital data communication for enormous-scale open network systems recommended by Shamir. This article suggests an isoidentity based isobeta crypto mechanism build on the generalized isodiscrete isologarithm isoproblem and isointeger isofactorization isoproblem that is one of the initial implementations of Shamir's for security norms. Also, we examine the security adverse a conjuration of certain clients in the suggested mechanism, and demonstrate the probability of establishing a higher secure mechanism.

关键词： Renewable energy sources Automation Data protection Safety Encryption Data communication Network systems

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The Advanced Encryption Standard with a Dynamic S-Box Using the RC4 Key Schedule

The Advanced Encryption Standard with a Dynamic S-Box Using ...

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Electrical, computer and Energy Technologies (ICECET), International Conference on

作者： Abdelrahman Altigani Muhammad Rukunuddin Ghalib Huwaida T. Elshoush Muawia A. Elsadig Nashat Alrefai Shiraz Naserelden Computer Information Science Higher Colleges of Technology Al Ain UAE School of Engineering & Computing De Monfort University Dubai UAE Computer Science Department Faculty of Mathematical Sciences and Informatics University of Khartoum Khartoum Sudan College of Computer Science and Information Technology Imam Abdulrahman bin Faisal University Dammam KSA Department of Mathematics College of Science Imam Abdulrahman Bin Faisal University Basic and Applied Scientific Research Center Imam Abdulrahman Bin Faisal University Dammam KSA Department of Mathematical Sciences Faculty of Science Universiti Teknologi Malaysia Johor Malaysia

ISBN: (数字)9798350395914

ISBN: (纸本)9798350395921

Since the inception of secure communication, safeguarding data confidentiality has been paramount. With the increased reliance on technology, the need for robust security mechanisms is more critical than ever. This paper explores confidentiality in cybersecurity, focusing on symmetric encryption algorithms. While symmetric encryption, particularly the Advanced Encryption Standard (AES), is in wide use, concerns arise regarding its static nature. Therefore, the paper introduces a dynamic cipher, augmenting AES security by introducing a key-dependent S-Box. By leveraging the RC4 key schedule, the proposed cipher generates unique S-Boxes for each encryption key, significantly increasing security against non-generic attacks. Theoretical analysis demonstrates the proposed cipher is capable of resisting brute force, linear cryptanalysis, and differential cryptanalysis. Furthermore, its adaptability to existing AES implementations ensures practicality and ease of adoption.

关键词： Ciphers Schedules Heuristic algorithms Dynamics Force Dynamic scheduling Encryption computer security Time complexity Standards

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A Kernel Propagation-Based Graph Convolutional Network Imbalanced Node Classification Model on Graph Data

A Kernel Propagation-Based Graph Convolutional Network Imbal...

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IEEE International Conference on Networking, Sensing and Control

作者： Xiang-En Bai Jing An Zi-Bo Yu Han-Qiu Bao Ke-Fan Wang School of Computer Science and Information Engineering Shanghai Institute of Technology Shanghai China College of Applied Mathematics Xi'an Jiaotong-Liverpool University Suzhou China College of Electronic and Information Engineering Tongji University Shanghai China Shanghai Research Institute for Intelligent Autonomous Systems Tongji University Shanghai China

ISBN: (纸本)9781665472449

As an important research topic in graph learning, the performance of node classification has been improved with the development of some new methods, among which graph neural networks (GNNs) have achieved state-of-the-art node classification performance. However, the existing GNN-based methods mainly address the classification problem with balanced distribution of node samples. However, many real application scenarios of graph data usually have a highly skewed class distribution, i.e., the majority classes occupy most of the samples while the minority classes contain only a few samples. When the nodes exhibit an imbalanced class distribution, existing GNN-based methods favor the majority class and under-represent the minority class. Therefore, we propose a novel Kernel Propagation-based model for Imbalanced Node Classification in Graph Convolutional Networks (KINC-GCN). First, we introduce a kernel propagation method as a preprocessing step to exploit higher-order structural features. The node features are enhanced by concatenating the higher-order structural feature matrix with the node feature matrix. Node embeddings are obtained from the enhanced feature and adjacency matrices by a two-layer GCN, and then a self-optimizing cluster analysis and graph reconstruction module are introduced. The self-optimizing cluster analysis module performs cluster analysis on the node embeddings to enhance the representativeness of the node embeddings. The graph reconstruction module uses an inner product decoder to reconstruct the graph structure and minimize the differences between the reconstructed graph and the original graph. The effectiveness of KINC-GCN in node classification is demonstrated by experiments on three real-world imbalanced graph datasets.

关键词： Computational modeling Machine learning Aerospace electronics Data models Graph neural networks Sensors Decoding

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Malware Detection Issues, Future Trends and Challenges: A Survey

Malware Detection Issues, Future Trends and Challenges: A Su...

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International Symposium on Networks, computers and Communications (ISNCC)

作者： Anas AliAhmad Derar Eleyan Amna Eleyan Tarek Bejaoui Mohamad Fadli Zolkipli Mohammed Al-Khalidi Department of Investigations and Cybercrime College of Graduate Studies Palestine Technical University Applied Computing Department Palestine Technical University Kadoorie Palestine Department of Computing and Mathematics Manchester Metropolitan University Manchester United Kingdom Computer Engineering Department University of Carthage Tunisia School of Computing UUM CAS University Utara

This paper focuses on the challenges and issues of detecting malware in to-day's world where cyberattacks continue to grow in number and complexity. The paper reviews current trends and technologies in malware detection and the limitations of existing detection methods such as signature-based detection and heuristic analysis. The emergence of new types of malware, such as file-less malware, is also discussed, along with the need for real-time detection and response. The research methodology used in this paper is presented, which includes a literature review of recent papers on the topic, keyword searches, and analysis and representation methods used in each study. In this paper, the authors aim to address the key issues and challenges in detecting malware today, the current trends and technologies in malware detection, and the limitations of existing methods. They also explore emerging threats and trends in malware attacks and highlight future directions for research and development in the field. To achieve this, the authors use a research methodology that involves a literature review of recent papers related to the topic. They focus on detecting and analyzing methods, as well as representation and extraction methods used in each study. Finally, they classify the literature re-view, and through reading and criticism, highlight future trends and problems in the field of malware detection.

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Information Security and Privacy in the Digital World: Some Selected Topics

arXiv

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arXiv 2024年

作者： Sen, Jaydip Mayer, Joceli Dasgupta, Subhasis Nandi, Subrata Krishnaswamy, Srinivasan Mitra, Pinaki Singh, Mahendra Pratap Kundeti, Naga Prasanthi Rao, Chandra Sekhara M.V.P. Chekuri, Sudha Sree Pallapothu, Seshu Babu Nanjundan, Preethi George, Jossy P. Allali, Abdelhadi E.I. Morino, Ilham Oussous, Salma A.I.T. Beloualid, Siham Tamtaoui, Ahmed Bajit, Abderrahim Department of Data Science Praxis Business School Kolkata India Department of Computer Science and Engineering IIT Guwahati Assam India Department of Electronics and Electrical Engineering IIT Guwahati Assam India Department of Computer Science and Engineering National Institute of Technology Karnataka Surathkal Mangaluru India Department of CSE Lakireddy Balireddy College of Engineering Affiliated to JNTU Mylavaram Kakinada India Department of CSE RVR & JC college of Engineering Guntur India Department of Mathematics and statistics K.B.N. College Vijayawada India Department of Electrical Engineering Federal University of Santa Catarina Florianópolis Brazil Department of Data Science Christ University Lavasa Pune India National School of Applied Sciences Kenitra Morocco SC Department Mohammed V University Laboratory of Advanced Systems National Institute of Posts and Telecommunications Rabat Morocco

In the era of generative artificial intelligence and the Internet of Things,while there is explosive growth in the volume of data and the associated needfor processing, analysis, and storage, several new challenges are faced inidentifying spurious and fake information and protecting the privacy ofsensitive data. This has led to an increasing demand for more robust andresilient schemes for authentication, integrity protection, encryption,non-repudiation, and privacy-preservation of data. The chapters in this bookpresent some of the state-of-the-art research works in the field ofcryptography and security in computing and communications. Copyright © 2024, The Authors. All rights reserved.

关键词： Digital storage

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Numerical integration of stochastic contact Hamiltonian systems via stochastic Herglotz variational principle

arXiv

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arXiv 2022年

作者： Zhan, Qingyi Duan, Jinqiao Li, Xiaofan Li, Yuhong College of Computer and Information Science Fujian Agriculture and Forestry University Fuzhou350002 China Department of Applied Mathematics Illinois Institute of Technology ChicagoIL60616 United States College of Hydropower and Information Engineering Huazhong University of Science and Technology Wuhan430074 China

In this work we construct a stochastic contact variational integrator and its discrete version via stochastic Herglotz variational principle for stochastic contact Hamiltonian systems. A general structure-preserving stochastic contact method is devised, and the stochastic contact variational integrators are established. The implementation of this approach is validated by the numerical *** Codes 37C50, 65C30 Copyright © 2022, The Authors. All rights reserved.

关键词： Stochastic systems

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Thermal analysis of hybrid nano-fluids: Modeling and non-similar solutions

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Partial Differential Equations in applied mathematics 2024年 12卷

作者： Abbasi, A. Farooq, W. Khan, M. Ijaz Abdullaeva, Barno Sayfutdinovna Khan, Sami Ullah Waqas, M. Department of Mathematics University of Azad Jammu and Kashmir Muzaffarabad 13100 Pakistan Department of Mechanical Engineering College of Engineering Prince Mohammad Bin Fahd University P.O. Box 1664 Al-Khobar 31952 Saudi Arabia Department of Mathematics and Information Technologies Vice-Rector for Scientific Affairs Tashkent State Pedagogical University Tashkent Uzbekistan Department of Mathematics Namal University Mianwali 42250 Pakistan NUTECH School of Applied Sciences and Humanities National University of Technology Islamabad 44000 Pakistan Department of Computer Science and Mathematics Lebanese American University Beirut Lebanon

The thermal analysis of hybrid nano-fluids is a significant research area with diverse applications in industries such as paint, electronics, and mechanical engineering. Existing literature provides limited solutions to the governing equations for the flow of these fluids. Modeling and deriving non-similar solutions for these equations pose interesting and challenging mathematical problems. This study focuses on investigating heat transfer in the flow of two types of nano-fluids, specifically Al_2O micropolar nano-fluid and Al₂O₃ + Ag/H₂O hybrid nano-fluid, near an isothermal sphere. Conservation laws are employed to formulate the mathematical problem, and by normalizing the variables, the governing equations are converted into a set of dimensionless partial differential equations. Non-similar solutions are then obtained using numerical methods. A comparative analysis is carried out to assess the influence of various parameters on different profiles and engineering quantities for both types of nano-fluids. Both linear and rotational velocities fall down near the surface of sphere with rising microstructure in hybrid nanofluid. The micro-rotation parameter rises the temperature profile while reduces the Nusselt number of both traditional Al₂O₃/water based nanofluid as well as hybrid nanofluid. © 2024 The Author(s)

关键词： Hybrid nano-fluids Isothermal sphere Micro-rotation Non-similar modeling Numerical simulation

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Convective diffusive thermal flow over an inclined surface with viscous dissipation and aligned magnetic field applications

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Partial Differential Equations in applied mathematics 2024年 12卷

作者： Mopuri, Obulesu Al-Khaled, Kamel Govindan, Vediyappan Ganteda, Charankumar Ganjikunta, Aruna Abdullaeva, Barno Ahmad, Furqan Khan, Sami Ullah Waqas, M. Piriadarshani, D. Department of Mathematics Siddharth Institute of Engineering & Technology (Autonomous) A.P. Puttur 517583 India Department of Mathematics & Statistics Jordan University of Science and Technology P.O. Box 3030 Irbid 22110 Jordan Department of Mathematics Hindustan Institute of Technology and Science (Deemed to be University) Padur Chennai India Department of Engineering Mathematics College of Engineering Koneru Lakshmaiah Education Foundation Vaddeswaram India Department of Mathematics GITAM University Telangana Hyderabad 502329 India Department of Mathematics and Information Technologies Vice-Rector for Scientific Affairs Tashkent State Pedagogical University Tashkent Uzbekistan Western Caspian University Baku Azerbaijan Department of Mathematics Namal University Mianwali 42250 Pakistan NUTECH School of Applied Science and Humanities National University of Technology Islamabad 44000 Pakistan Department of Computer Science and Mathematics Lebanese American University Beirut Lebanon

This investigation incorporating the fluctuation in heat and mass transfer associated to the mixed convection magnetized flow of viscous fluid due to inclined surface with porous media. The contribution of Soret effects and viscous dissipation appliances is addressed. Furthermore, the heat transfer improvement is also assessed by thermal radiation, heat source and joule heating effects. The chemical reaction enrollment is also studied for concentration phenomenon. The convection of problem into non-dimensional framework is based on implication of new variables. The perturbation technique is followed to tracking the analytical outcomes. Physical visualization and interpretation of results under the influence of perturbed parameters have been studied. It is observed that heat and mass transfer enhances due to Soret number. Presence of chemical reaction leads to decrement of concentration profile. Claimed results presents applications in heat and mass transfer processes, chemical reaction, manufacturing systems, chemical engineering, extrusion processes etc. © 2024 The Author(s)

关键词： Heat and mass transfer Joule heating Mixed convection Perturbation simulation Viscous dissipation

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Microgravity analysis of periodic oscillations of heat and mass transfer of Darcy-Forchheimer nanofluid along radiating stretching surface with Joule heating effects

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Results in Physics 2024年 62卷

作者： Ullah, Zia El-Zahar, Essam. R. Seddek, Laila F. Eladeb, Aboulbaba Kolsi, Lioua Alsharari, Abdulrhman M. Asad, Jihad Akgül, Ali Department of Mathematics and Statistics The University of Lahore Sargodha-Campus Sargodha 40100 Pakistan Department of Mathematics College of Science and Humanities in Al-Kharj Prince Sattam Bin Abdulaziz University P.O. Box 83 Al-Kharj 11942 Saudi Arabia Department of Basic Engineering Science Faculty of Engineering Menoufia University Shebin El-Kom 32511 Egypt Department of Engineering Mathematics and Physics Faculty of Engineering Zagazig University Zagazig 44519 Egypt Department of Chemical and Materials Engineering College of Engineering Northern Border University P.O. Box 1321 Arar Saudi Arabia Department of Mechanical Engineering College of Engineering University of Ha'il Ha'il City Saudi Arabia Department of Physics University of Tabuk Tabuk 71491 Saudi Arabia Department of Physics Faculty of Applied Science Palestine Technical University Tulkarm P Kadoorie 305 Palestine Department of Computer Science and Mathematics Lebanese American University Beirut Lebanon Siirt University Art and Science Faculty Department of Mathematics Siirt 56100 Turkey

Reduced gravity impact on mixed convection flow plays a significant role for designing of electric-generating plants in space, unwanted effects of free convection, thermodynamic stability, space devices, surface tension and movement of nanoparticles. The novelty of present work is to find the impact of reduced gravity, Joule heating and thermal radiations on Darcy Forchheimer magnetized flow of nanofluid along the stretching porous sheet. The variable gravity is assumed as temperature dependent with maximum density and maximum density. The governing model is converted into convenient model to find physical thermo parameters. The primitive steady, real and imaginary equations are formed by using stokes and primitive transformations. To make programming algorithm in FORTRAN Lahey-90/95, the primitively terms are deduced in each equation. For tabular and numerical findings of steady velocity, temperature and concentration, the implicit form of finite difference approach is applied with Gaussian elimination method. The fluctuating skin friction, fluctuating heat transfer and fluctuating mass transfer are displayed by using steady outcomes in main formula. It is found that the magnitude of fluid velocity enhances as magnetic force, reduced gravity and Darcy Forchheimer parameter enhances. It is concluded that temperature distribution decreases as magnetic force enhances. It is noted that oscillating frequency in skin friction and heat transfer enhances as Schmidt number enhances. It is found that the maximum fluctuating layer in heat and mass transfer enhances as Prandtl number enhances. © 2024 The Author(s)

关键词： Darcy Forchheimer porous medium Heat and mass transfer Joule heating Magnetic field Microgravity Oscillatory flow Thermal radiations

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Elementary symmetric partitions

arXiv

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arXiv 2024年

作者： Ballantine, Cristina Beck, George Merca, Mircea Sagan, Bruce E. Department of Mathematics and Computer Science College of the Holy Cross WorcesterMA01610 United States Department of Mathematics and Statistics Dalhousie University HalifaxNSB3H 4R2 Canada Department of Mathematical Methods and Models Fundamental Sciences Applied in Engineering Research Center National University of Science and Technology Politehnica Bucharest BucharestRO-060042 Romania Academy of Romanian Scientists BucharestRO-050044 Romania Department of Mathematics Michigan State University East LansingMI48824 United States

Let ek(x1,..., x) be an elementary symmetric polynomial and let λ = (λ1,..., λ) be an integer partition. Define prek(λ) to be the partition whose parts are the summands in the evaluation ek(λ1,..., λ). The study of such partitions was initiated by Ballantine, Beck, and Merca who showed (among other things) that pre2 is injective as a map on binary partitions of n. In the present work we derive a host of identities involving the sequences which count the number of parts of a given value in the image of pre2. These include generating functions, explicit expressions, and formulas for forward differences. We generalize some of these to d-ary partitions and explore connections with color partitions. Our techniques include the use of generating functions and bijections on rooted partitions. We end with a list of conjectures and a direction for future *** Codes 05A17, 05E05 (Primary) 05A15, 05A19 (Secondary) © 2024, CC BY.

关键词： Integer linear programming

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