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Comparative Analysis of AES, RC and Twofish Algorithms for Data Encryption and Decryption

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Comparative Analysis of AES, RC and Twofish Algorithms for D...

Computing and Information Technology (ICCIT-1441), 2020 International Conference on

作者： Ahmad Faizal Bin Tajuddin Mohammad Hafiz Mohd Yusof Mohammed Balfaqih Akram A. Almohammedi Sam Darshi Nadhem Qaid College of Computing Informatics and Mathematics Universiti Teknologi MARA UiTM Tapah Malaysia College of Computer Science and Engineering University of Jeddah Jeddah Saudi Arabia Electrical and Electronic Engineering Department Karabük University Karabük Turkey Department of Electrical Engineering Indian Institute of Tehcnology Ropar Punjab India R&D Engineer Lead Marine Powertrain Controls & Electronics Caterpillar Inc Houstan Texas USA

ISBN: (数字)9798350353839

ISBN: (纸本)9798350353846

This paper presents a comparative analysis of three widely used encryption algorithms, namely AES (Advanced Encryption Standard), RC (Rivest Cipher), and Twofish, with a focus on their performance in data encryption and decryption. The study aims to evaluate the strengths and weaknesses of these algorithms in terms of security, speed, and efficiency. The analysis involves benchmarking the algorithms against various performance metrics, including encryption time, decryption time, key size, and resistance against cryptanalysis attacks. Additionally, the research explores the impact of different data sizes and configurations on the performance of each algorithm. The findings of this study will provide valuable insights for decision-makers and practitioners in selecting the most suitable encryption algorithm for their specific needs, considering the tradeoffs between security and performance.

关键词： Resistance Ciphers Three-dimensional displays Data security Benchmark testing Encryption Timing Information technology Standards

Development Effort Estimation in Free/Open Source Software from Activity in Version Control Systems

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arXiv 2022年

作者： Robles, Gregorio Capiluppi, Andrea Gonzalez-Barahona, Jesus M. Lundell, Björn Gamalielsson, Jonas Department of Telematic and Computational Systems Engineering Universidad Rey Juan Carlos Spain Department of Computer Science University of Groningen Netherlands School of Informatics University of Skövde Sweden

Effort estimation models are a fundamental tool in software management, and used as a forecast for resources, constraints and costs associated to software development. For Free/Open Source Software (FOSS) projects, effort estimation is especially complex: professional developers work alongside occasional, volunteer developers, so the overall effort (in person-months) becomes non-trivial to determine. The objective of this work it to develop a simple effort estimation model for FOSS projects, based on the historic data of developers' effort. The model is fed with direct developer feedback to ensure its accuracy. After extracting the personal development profiles of several thousands of developers from 6 large FOSS projects, we asked them to fill in a questionnaire to determine if they should be considered as full-time developers in the project that they work in. Their feedback was used to fine-tune the value of an effort threshold, above which developers can be considered as full-time. With the help of the over 1,000 questionnaires received, we were able to determine, for every project in our sample, the threshold of commits that separates full-time from non-full-time *** finally offer guidelines and a tool to apply our model to FOSS projects that use a version control system. © 2022, CC BY-SA.

关键词： Feedback

Acoustic cavitation bubble under influence of frequency ultrasound: Numerical analysis

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Acoustic cavitation bubble under influence of frequency ultr...

Electronic engineering (ICEEM), International Conference on

作者： A. K. Abu-Nab A. F. Abu-Bakr Zain AbuShaeer Department of Mathematics and Computer Science Faculty of Science Menoufia University Shebin 32511 Egypt Phystech School of Applied Mathematics and Informatics Moscow Institute of Physics and Technology Moscow Russia Department of Mathematics and Computer Science Faculty of Science Menoufia University Shebin El-Koom Egypt Department of Basic Science Higher Institute of Engineering and Technology Kafrelsheikh Egypt

This work presents a numerical investigation of acoustic cavitation in Newtonian fluid based on frequency ultrasound. The model of ultrasonic cavitation dynamics is formulated by a modified Rayleigh-Plesset equation and an acoustic pressure equation. The exponential B-Spline collection method was employed to obtain the numerical solutions of the given cavitation bubble model, considering the effect of acoustic pressure. The behaviour of the cavitation microbubbles' radius and the internal pressure of acoustic cavitation were examined at different values of frequencies. The obtained results reveal the importance of frequencies in ultrasound, which play a vital role in changing the behaviour of cavitation bubbles.

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Interpretable Fake News Detection with Topic and Deep Variational Models

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arXiv 2022年

作者： Hosseini, Marjan Sabet, Alireza Javadian He, Suining Aguiar, Derek Department of Computer Science and Engineering University of Connecticut StorrsCT06269 United States Department of Informatics and Networked Systems University of Pittsburgh PittsburghPA15260 United States

The growing societal dependence on social media and user generated content for news and information has increased the influence of unreliable sources and fake content, which muddles public discourse and lessens trust in the media. Validating the credibility of such information is a difficult task that is susceptible to confirmation bias, leading to the development of algorithmic techniques to distinguish between fake and real news. However, most existing methods are challenging to interpret, making it difficult to establish trust in predictions, and make assumptions that are unrealistic in many real-world scenarios, e.g., the availability of audiovisual features or provenance. In this work, we focus on fake news detection of textual content using interpretable features and methods. In particular, we have developed a deep probabilistic model that integrates a dense representation of textual news using a variational autoencoder and bi-directional Long Short-Term Memory (LSTM) networks with semantic topic-related features inferred from a Bayesian admixture model. Extensive experimental studies with 3 real-world datasets demonstrate that our model achieves comparable performance to state-of-the-art competing models while facilitating model interpretability from the learned topics. Finally, we have conducted model ablation studies to justify the effectiveness and accuracy of integrating neural embeddings and topic features both quantitatively by evaluating performance and qualitatively through separability in lower dimensional embeddings. © 2022, CC BY.

关键词： Long short-term memory

Analysis of Drug Data Mining with Clustering Technique Using K-Means Algorithm 1

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Analysis of Drug Data Mining with Clustering Technique Using...

1st International Conference on Innovation and Application of Science and Technology, ICIASTECH 2019

作者： Lia Hananto, April Assiroj, Priati Priyatna, Bayu Nurhayati Fauzi, Ahmad Yuniar Rahman, Aviv Shofiah Hilabi, Shofa Faculty of Computing Universiti Teknologi Malaysia Skudai Johor Malaysia Faculty of Technology and Computer Science Universitas Buana Perjuangan Karawang Indonesia Master of Computer Science Universitas Budi Luhur Jakarta Indonesia Department of Informatics Engineering Universitas Widyagama Malang Indonesia

Data processing is very important in the development of information technology. Almost all fields of work have information data. Data can be used to help analysis in work. At present, health information data is very important to be processed in order to help medical personnel to make decisions. So that the results of the right decision to help patients. Lately, drug data has been misused for information eliminating a depressed patient without a doctor's prescription with a total data of 53766. The results shown are very large. So it requires very much attention from the government. As a result of the deviation of information and applied to the patient will result in death. Therefore, research needs to be conducted to group data on drug data. The source of research data is obtained from the UCI Machine Learning Repository Education website. The method proposed in this research is data mining. This solution can help researchers in the analysis of these data. One technique in data mining with clustering is using the K-means algorithm. The variables used are drug name, condition, useful count. The first research results can classify three categories consisting of using the highest drugs, using medium drugs and using lace drugs. Then the accuracy of the data is obtained with condition 99.45% valid records 53471, drug name 100% with valid records 53766, useful count 100% with valid records 53766. © Published under licence by IOP Publishing Ltd.

关键词： Data mining

An IoT model for securing examinations from malpractices

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An IoT model for securing examinations from malpractices

2020 International Virtual Conference on Sustainable Materials, IVCSM 2k20

作者： Haque, Shameemul Zeba, Sana Alimul Haque, Md. Kumar, Kailash Ali Basha, Mudassir Peeran Al-Hafeez College VeerKunwar Singh University Ara India Department of Computer Engineering JamiaMiliaIslamia New Delhi India Department of Computer Science VeerKunwar Singh University Ara India College of Computing and Informatics Saudi Electronic University Riyadh Saudi Arabia Department of Information System University of Bisha Saudi Arabia

The primary objective of university education is to provide students with the required information and skills to enable them to make a successful contribution to the national development effort. In order to evaluate the level of expertise and skill of students, this preparation includes frequent examination and appraisal in the form of tests. Manual exams are carried out by most universities;Post Graduate and Under Graduate in India. Due to multiple uses made of the outcomes of the students, these examinations have high stakes. Consequently, the experiments became subject to different types of malpractice. Test malpractice affects the success of students in exams and leaves the scores/grades earned inaccurate, hence a challenge to examination bodies and the nation's education system (India). These are all disturbing signs that pose a danger to the nation. Examination malpractice has eaten deep into the Indian culture of education. Therefore, the object of this paper is to explore the problem of examination malpractice in India. The paper covered relevant measures, procedure setting/implementation and suggestions for this action. And finally, a model is proposed to stop malpractices in the examination. This IoT based model is used for detecting any metallic object or object in a range more than normal IR proximity sensor range. The block diagram of proposed model and circuit diagram for that model discussed in detail. This proposed model may be used for any investigation in the universities examinations. © 2021 Elsevier Ltd. All rights reserved.

关键词： Students

In-Band Full-Duplex MIMO Systems for Simultaneous Communications and Sensing: Challenges, Methods, and Future Perspectives

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arXiv 2024年

作者： Smida, Besma Alexandropoulos, George C. Riihonen, Taneli Islam, Md Atiqul The Department of Electrical and Computer Engineering University of Illinois Chicago ChicagoIL60601 United States The Department of Informatics and Telecommunications National and Kapodistrian University of Athens Panepistimiopolis Ilissia Athens15784 Greece The Unit of Electrical Engineering Tampere University Korkeakoulunkatu 1 Tampere33720 Finland The Qualcomm Technologies Inc. Santa ClaraCA95051 United States

In-band Full-Duplex (FD) Multiple-Input Multiple-Output (MIMO) systems offer a significant opportunity for Integrated Sensing and Communications (ISAC) due to their capability to realize simultaneous signal transmissions and receptions. This feature has been recently exploited to devise spectrum-efficient simultaneous information transmission and monostatic sensing operations, a line of research typically referred to as MIMO FD-ISAC. In this article, capitalizing on a recent FD MIMO architecture with reduced complexity analog cancellation, we present an FD-enabled framework for simultaneous communications and sensing using data signals. In contrast to communications applications, the framework’s goal is not to mitigate self interference, since it includes reflections of the downlink data transmissions from targets in the FD node’s vicinity, but to optimize the system parameters for the intended dual functionality. The unique characteristics and challenges of a generic MIMO FD-ISAC system are discussed along with a broad overview of state-of-the-art special cases, including numerical investigations. Several directions for future work on FD-enabled ISAC relevant to signal processing communities are also provided. © 2024, CC BY-NC-ND.

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An STL-based Approach to Resilient Control for Cyber-Physical Systems

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arXiv 2022年

作者： Chen, Hongkai Paoletti, Nicola Smolka, Scott A. Lin, Shan Department of Electrical and Computer Engineering Stony Brook University Stony Brook United States Department of Informatics King’s College London London United Kingdom Department of Computer Science Stony Brook University Stony Brook United States

We present ResilienC, a framework for resilient control of Cyber-Physical Systems subject to STL-based requirements. ResilienC utilizes a recently developed formalism for specifying CPS resiliency in terms of sets of (rec, dur) real-valued pairs, where rec represents the system’s capability to rapidly recover from a property violation (recoverability), and dur is reflective of its ability to avoid violations post-recovery (durability). We define the resilientSTLcontrolproblem as one of multi-objective optimization, where the recoverability and durability of the desired STL specification are maximized. When neither objective is prioritized over the other, the solution to the problem is a set of Pareto-optimal system trajectories. We present a precise solution method to the resilient STL control problem using a mixed-integer linear programming encoding and an a posteriori ϵ-constraint approach for efficiently retrieving the complete set of optimally resilient solutions. In ResilienC, at each time-step, the optimal control action selected from the set of Pareto-optimal solutions by a Decision Maker strategy realizes a form of Model Predictive Control. We demonstrate the practical utility of the ResilienC framework on two significant case studies: autonomous vehicle lane keeping and deadline-driven, multi-region package delivery. © 2022, CC BY.

关键词： Cyber Physical System

HEET: A Heterogeneity Measure to Quantify the Difference across Distributed Computing Systems

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arXiv 2023年

作者： Mokhtari, Ali Ghafouri, Saeid Jamshidi, Pooyan Salehi, Mohsen Amini The School of Computing and Informatics University of Louisiana LafayetteLA United States Queen Mary University of London London United Kingdom The Computer Science and Engineering Department University of South Carolina South Carolina United States

Although system heterogeneity has been extensively studied in the past, there is yet to be a study on measuring the impact of heterogeneity on system performance. For this purpose, we propose a heterogeneity measure that can characterize the impact of the heterogeneity of a system on its performance behavior in terms of throughput or makespan. We develop a mathematical model to characterize a heterogeneous system in terms of its task and machine heterogeneity dimensions and then reduce it to a single value, called Homogeneous Equivalent Execution Time (HEET), which represents the execution time behavior of the entire system. We used AWS EC2 instances to implement a real-world machine learning inference system. Performance evaluation of the HEET score across different heterogeneous system configurations demonstrates that HEET can accurately characterize the performance behavior of these systems. In particular, the results show that our proposed method is capable of predicting the true makespan of heterogeneous systems without online evaluations with an average precision of 84%. This heterogeneity measure is instrumental for solution architects to configure their systems proactively to be sufficiently heterogeneous to meet their desired performance objectives. Copyright © 2023, The Authors. All rights reserved.

关键词： Online systems