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Quantum resource estimation of PRINCE and Midori Block Ciphers

International Journal of Information Technology (Singapore) 2024年 1-10页

作者： Akhlaq, Ausaf Hussain Allu, Swamy Naidu Yerukala, Nagendar CR Rao Advanced Institute of Mathematics Statistics and Computer Science University of Hyderabad Campus Telangana Hyderabad 500046 India School of Computer and Information Sciences University of Hyderabad Telangana Hyderabad 500046 India

With the continuous advancement of quantum technologies, the estimation of quantum resources necessary for quantum tasks becomes extremely important for optimization purpose. Quantum resource estimation approximates the amount of qubits, time, and the number of quantum gates required to complete a quantum computation. The difficulties in estimating quantum resources result the complexity of quantum systems. Precise estimates can be difficult because of the non-linear behaviour, entanglement effects, and resource limitations that might occur in quantum calculations. In this paper, the symmetric key cryptographic algorithms, PRINCE and Midori block ciphers are converted into the quantum circuit which will be used for applying Grover’s algorithm for exhaustive key search that reduces its security level from 2ⁿ bits to 2ⁿ bits. This paper discusses the construction of a quantum circuit for a substitution box (or S-box) using two level unitary matrix. The construction of substitution boxes in simple block ciphers as quantum circuits has lately been the subject of several publications, but they are limited to only 4-bit. A substitution box of size 2ⁿ bit, where n is a natural number, is converted into a quantum circuit using the two-level unitary matrix method. © Bharati Vidyapeeth's institute of computer Applications and Management 2024.

关键词： Grover’s search algorithm Midori Block Cipher PRINCE Block Cipher Quantum circuits Quantum gate Two-level unitary matrices

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Brute-Force Integer Max Flow Algorithm for Networks Under Reachability Restrictions

Brute-Force Integer Max Flow Algorithm for Networks Under Re...

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2023 Applied mathematics, Computational science and Mechanics: Current Problems, AMCSM 2023

作者： Erusalimskiy, Iakov Rusakov, Vladislav Institute of Mathematics Mechanics and Computer Science Southern Federal University Rostov-on-Don Russia

ISBN: (纸本)9798350348576

An exact algorithm for solving integer maximum flow problem under reachability restrictions is proposed. A computational complexity of brute-force method was obtained. Presented examples show main issues arising while solving network flow problems under reachability restrictions. Enhancements for reducing operations number and redundant computations are provided. Tree-structured networks are considered with respect to reachability restrictions. It is shown that the maximum flow problem can be solved in polynomial time for these networks. © 2023 IEEE.

关键词： Polynomial approximation

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Privacy-Preserving Multi-Keyword Fuzzy Adjacency Search Strategy for Encrypted Graph in Cloud Environment

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computers, Materials & Continua 2024年第3期78卷 3177-3194页

作者： Bin Wu Xianyi Chen Jinzhou Huang Caicai Zhang Jing Wang Jing Yu Zhiqiang Zhao Zhuolin Mei School of Computer and Big Data Science Jiujiang UniversityJiujiang332005China Jiujiang Key Laboratory of Network and Information Security Jiujiang332005China School of Computer and Software Nanjing University of Information Science&TechnologyNanjing210044China School of Computer Engineering Hubei University of Arts and ScienceXiangyang441053China School of Modern Information Technology Zhejiang Institute of Mechanical and Electrical EngineeringHangzhou310053China Information Center Jiangxi Changjiang Chemical Co.Ltd.Jiujiang332005China School of Mathematics and Computer Science Ningxia Normal UniversityGuyuan756099China

In a cloud environment,outsourced graph data is widely used in companies,enterprises,medical institutions,and so *** owners and users can save costs and improve efficiency by storing large amounts of graph data on cloud *** on cloud platforms usually have some subjective or objective attacks,which make the outsourced graph data in an insecure *** issue of privacy data protection has become an important obstacle to data sharing and *** to query outsourcing graph data safely and effectively has become the focus of *** query is a basic and frequently used operation in graph,and it will effectively promote the query range and query ability if multi-keyword fuzzy search can be supported at the same *** work proposes to protect the privacy information of outsourcing graph data by encryption,mainly studies the problem of multi-keyword fuzzy adjacency query,and puts forward a *** our scheme,we use the Bloom filter and encryption mechanism to build a secure index and query token,and adjacency queries are implemented through indexes and query tokens on the cloud *** proposed scheme is proved by formal analysis,and the performance and effectiveness of the scheme are illustrated by experimental *** research results of this work will provide solid theoretical and technical support for the further popularization and application of encrypted graph data processing technology.

关键词： Privacy-preserving adjacency query multi-keyword fuzzy search encrypted graph

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Wind speed prediction using empirical wavelet transform and bidirectional gated recurrent unit based hybrid model 15

Wind speed prediction using empirical wavelet transform and ...

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15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024

作者： Shukla, Sakshi Gupta, Kshitij Pasari, Sumanta Gupta, Vishal Birla Institute of Technology and Science Department of Mathematics Rajasthan Pilani India Birla Institute of Technology and Science Department of Computer Science and Information Systems Rajasthan Pilani India

ISBN: (纸本)9798350370249

Accurate forecasting of wind speed is crucial for optimal extraction of energy, enabling integration of power grid, planning and management of renewable energy resources. To overcome the unpredictability of long-term trends and seasonal variation of wind, this study proposes a deterministic framework utilizing a hybrid model based on empirical wavelet transform (EWT), bidirectional gated recurrent neural network (BiGRU), and Bayesian optimization algorithm (BOA) for an hour-ahead wind speed prediction. Firstly, the EWT is used for preprocessing the wind speed data with enabling wavelet charaterticstics. Then, the BiGRU model is employed for regression using optimal values determined by the BOA method. The robustness of the proposed integrative framework is regressively evaluated over seven years (2015-2021) of hourly wind speed data across four locations in India. The evidence of numerical results of the proposed model demonstrates its effectiveness with a maximum improvement of 70% - 80% in terms of RMSE values across all the studied regions. Furthermore, the model evaluation and pictorial results indicate that the proposed model is a potent tool for generating wind energy and its integration into the smart grid. © 2024 IEEE.

关键词： Wind forecasting

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ParaGnosis: A Tool for Parallel Knowledge Compilation 29th

ParaGnosis: A Tool for Parallel Knowledge Compilation

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29th International Symposium on Model Checking Software, SPIN 2023, co-located with European Joint Conferences on Theory and Practice of Software, ETAPS 2023

作者： Dal, Giso H. Laarman, Alfons Lucas, Peter J. F. Faculty of Electrical Engineering Mathematics and Computer Science University of Twente Enschede Netherlands Leiden Institute of Advanced Computer Science Leiden University Leiden Netherlands

ISBN: (纸本)9783031321566

ParaGnosis (https://***/10.5281/zenodo.7312034, https://***/badge/latestdoi/560170574, Alternative url: https://***/gisodal/paragnosis, Demo url: https://***/gisodal/paragnosis/blob/main/*** ) is an open-source tool that supports inference queries on Bayesian networks through weighted model counting. In the knowledge compilation step, the input Bayesian network is encoded as propositional logic and then compiled into a knowledge base in decision diagram representation. The tool supports various diagram formats, including the Weighted-Positive Binary Decision Diagram (WPBDD) which can concisely represent discrete probability distributions. Once compiled, the probabilistic knowledge base can be queried in the inference step. To efficiently implement both steps, ParaGnosis uses simulated annealing to split the knowledge base into a number of partitions. This further reduces the decision diagram size and crucially enables parallelism in both the compilation and the inference steps. Experiments demonstrate that this partitioned approach, in combination with the WPBDD representation, can outperform other approaches in the knowledge compilation step, at the cost of slightly more expensive inference queries. Additionally, the tool can attain 15-fold parallel speedups using 64 cores. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Bayesian networks

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Probabilistic decoders of Reed-Muller codes based on polynomial differentiation 17

Probabilistic decoders of Reed-Muller codes based on polynom...

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17th IEEE International Conference on Application of Information and Communication Technologies, AICT 2023

作者： Mogilevskaya, N.S. Institute of Mechanics Mathematics and Computer Science Southern Federal University Rostov-on-Don Russia

ISBN: (纸本)9798350303568

Several probabilistic decoders of second-order Reed-Muller codes are considered. These decoders share a common construction idea based on the differentiation of polynomials. The properties of these decoders are considered. It is shown that it is possible to modify these decoders for the case of any odd Galois field of cardinality more than 3, but it is theoretically impossible to justify the correctness of such algorithms. © 2023 IEEE.

关键词： Forward error correction

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Where and What do Software Architects blog?: An Exploratory Study on Architectural Knowledge in Blogs, and their Relevance to Design Steps 20

Where and What do Software Architects blog?: An Exploratory ...

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20th IEEE International Conference on Software Architecture, ICSA 2023

作者： Soliman, Mohamed Gericke, Kirsten Avgeriou, Paris University of Groningen Bernoulli Institute for Mathematics Computer Science and Artificial Intelligence Groningen Netherlands

ISBN: (纸本)9798350397499

Software engineers share their architectural knowledge (AK) in different places on the Web. Recent studies show that architectural blogs contain the most relevant AK, which can help software engineers to make design steps. Nevertheless, we know little about blogs, and specifically architectural blogs, where software engineers share their AK. In this paper, we conduct an exploratory study on architectural blogs to explore their types, topics, and their AK. Moreover, we determine the relevance of architectural blogs to make design steps. Our results support researchers and practitioners to find and re-use AK from blogs. © 2023 IEEE.

关键词： Blogs

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V2G-Auth: Lightweight Authentication and Key Agreement Protocol for V2G Environment Leveraging Physically Unclonable Functions

IEEE Transactions on Industrial Cyber-Physical Systems

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IEEE Transactions on Industrial Cyber-Physical Systems 2023年 1卷 66-78页

作者： Reddy, Alavalapati Goutham Babu, Ponnuru Raveendra Odelu, Vanga Wang, Li Kumar, Sathish A.P. Department of Mathematics and Computer Science Fontbonne University St. LouisMO63105 United States Department of Computer Science and Engineering National Institute of Technology Andhra Pradesh 534101 India Department of Electrical Engineering and Computer Science Cleveland Sate University ClevelandOH44115 United States Department of Computer Science and Engineering Indian Institute of Information Technology Andhra Pradesh Sri City517646 India

Electric vehicle (EV) is a fast-growing technology that could help reduce greenhouse gas emissions in the energy and transportation sectors. The characteristics of EVs allow for rapid smart city expansion and serve as a key weapon in the emergence of vehicle-to-grid (V2G) technology. The entities, such as EVs and charging stations, connect with one another in order to gather data about the status of the EV and the environment in which it is traveling. The exchange of information among entities in V2G over a public channel may be exposed to security threats. The user’s devices are also vulnerable to physical attacks since they are left unprotected at their end. Hence, we suggest a lightweight protocol for key agreement and mutual authentication between entities operating in a V2G environment. Additionally, we assess the proposed scheme using the Scyther tool to conduct formal and informal security analyses in order to demonstrate how effectively it can counteract known security attacks. Finally, the performance study reveals that the suggested protocol provides a communication and computational benefit when compared to relevant protocols. © 2023 institute of Electrical and Electronics Engineers. All rights reserved.

关键词： Vehicle-to-grid

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Data Sharing Method with Error Protection of Shares 17

Data Sharing Method with Error Protection of Shares

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17th IEEE International Conference on Application of Information and Communication Technologies, AICT 2023

作者： Mogilevskaya, N.S. Institute of Mechanics Mathematics and Computer Science Southern Federal University Rostov-on-Don Russia

ISBN: (纸本)9798350303568

A new data sharing method is presented. If the method is used in the non-threshold mode, then all shares must be used to restore the original data, however, it's possible to protect shares from errors without involving additional algebraic coding mechanisms. If the method is used in the threshold mode, then it's possible to restore the original data from just a part of shares. It is also possible to combine the two modes. A simulation model of sharing data transmission was created. In practice, the method can be used in fault-tolerant data storage systems in noisy environments. © 2023 IEEE.

关键词： Restoration

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On the Effectiveness of ViT Features as Local Semantic Descriptors 17th

On the Effectiveness of ViT Features as Local Semantic De...

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17th European Conference on computer Vision, ECCV 2022

作者： Amir, Shir Gandelsman, Yossi Bagon, Shai Dekel, Tali Department of Computer Science and Applied Mathematics The Weizmann Institute of Science Rehovot Israel Berkeley United States

ISBN: (纸本)9783031250682

We study the use of deep features extracted from a pre-trained Vision Transformer (ViT) as dense visual descriptors. We observe and empirically demonstrate that such features, when extracted from a self-supervised ViT model (DINO-ViT), exhibit several striking properties, including: (i) the features encode powerful, well-localized semantic information, at high spatial granularity, such as object parts;(ii) the encoded semantic information is shared across related, yet different object categories, and (iii) positional bias changes gradually throughout the layers. These properties allow us to design simple methods for a variety of applications, including co-segmentation, part co-segmentation and semantic correspondences. To distill the power of ViT features from convoluted design choices, we restrict ourselves to lightweight zero-shot methodologies (e.g., binning and clustering) applied directly to the features. Since our methods require no additional training nor data, they are readily applicable across a variety of domains. We show by extensive qualitative and quantitative evaluation that our simple methodologies achieve competitive results with recent state-of-the-art supervised methods, and outperform previous unsupervised methods by a large margin. Code is available in https://***/. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Zero-shot learning

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