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The Comparison of Password Composition Policies Among US, German, and Thailand Samples

The Comparison of Password Composition Policies Among US, Ge...

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International Joint Conference on computer science and Software engineering (JCSSE)

作者： Jenjira Lomchan Rungrat Wiangsripanawan Siamak F. Shahandashti Dept. of Computer Science School of Science King Mongkut's Institute of Technology Ladkrabang Bangkok Thailand Dept. of Computer Science University of York York United Kingdom

The study by Mayer, Kirchner, and Volkamer published at SOUPS 2017 showed that the password composition policy (PCP) strength of both the US and German websites was not influenced by the security but by the usability features of the websites. Surprisingly, the PCP strength of the banking website category was the lowest, whereas the government website was the highest. Our aim in conducting the first study is to find whether 78 Thai frequently used websites in 2018 would yield the same surprising results. Our finding showed an opposite perspective, the highest PCP strength was from the banking websites, followed by university and government websites, respectively. Two more security features were added to our study: 2FA and HTTPS. Although some German websites employing 2FA allowed lower PCPs for better usability, Thai websites with 2FA did not loosen the password requirements. Also, employing HTTPS did not impact the PCP strength. The study with Thai websites was reinvestigated in 2021, two years after the Personal Data Protection Act (PDPA) was announced. The result showed that the median PCP strength of all Thailand samples had grown from 26.6 in 2018 to 31.0 in 2021. The banking websites still retained the highest PCP strength. A significant change appeared on the government websites, increasing from 29.9 to 40.4. In summary, the security features such as the size of services, and values of assets which play no part in both the US and German PCPs were heavily concerned by Thai websites. Government and university websites in Germany and USA gave much higher PCP strength than those in Thailand. The Thai government's PCP strength sharply increased in 2021 due to the privacy law. Nevertheless, it was still lower than the results in Germany and USA in 2016. Therefore, the criteria influencing PCP vary depending on the country.

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A System to Track Fabricated Content in Social media using Machine Learning Approach

A System to Track Fabricated Content in Social media using M...

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Recent Advances in science and engineering technology (ICRASET), International Conference on

作者： Ramakrishna Hegde S M Soumyasri S Shivashankara M K Kavyashree Rambabu Pemula M. Harshitha Dept. of Computer Science and Engineering Vidyavardhaka College of Engineering Affiliated to Visvesvaraya Technological University Mysuru India Dept. of Computer Applications Vidya Vikas Institute of Engineering and Technology Affiliated to Visvesvaraya Technological University Mysuru India Dept. of Computer Science and Engineering KR Pete Krishna Govt. Engg. College Krishnarajapet Mandya India Electronics and Communication Engg. SJCE JSSSTU Mysore India Dept. of Artificial Intelligence Vidya Jyothi Institute of Technology Hyderabad India Dept.of Information Science and Engg. Vidya Vikas Institute of Engineering and Technology Mysore India

ISBN: (数字)9798350388602

ISBN: (纸本)9798350388619

In today’s society, when the internet is pervasive, everyone gets their news from a variety of online sources. Information can swiftly reach millions of users in a short amount of time due to the growing usage of social media sites like Facebook, Twitter, and others. Fake news has far-reaching effects, ranging from swaying election outcomes in favor of particular politicians to fostering prejudiced viewpoints. The primary platforms for disseminating fake news are Instagram, WhatsApp, and numerous other social media platforms. By presenting a machine learning-based fake news detection algorithm, this work provides a remedy. This model needs fictitious data that was gathered from multiple information sources. Data is extracted using web analytics, which is mostly used to build datasets. Real data sets and fake data sets are the two primary categories into which the data is separated. Random forest, logistic regression, decision trees, KNN, and gradient boosting are the classifiers used to classify the data. The data is categorized as true or false data based on the version that was received. The user will be able to determine whether or not the information on the website is fraudulent based on this.

关键词： Logistic regression Social networking (online) Voting Nearest neighbor methods User interfaces Boosting Web sites Fake news Random forests Regression tree analysis

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Biometric Fingerprint Identification for Bank Locker Security System 6

Biometric Fingerprint Identification for Bank Locker Securit...

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6th International Conference on Contemporary Computing and Informatics, IC3I 2023

作者： Goyal, Vishal Pokhariya, Hemant Singh Gupta, Shubhi Shalini, N. Rana, Ajay Ranjan, Rajeev GLA University Electronics & Communication Engineering Mathura India Graphic Era University Department of Computer Science & Engineering Dehradun India Amity University Department of Computer Sciences Uttar Pradesh Greater Noida India Institute of Aeronautical Engineering Dept of Computer Sc. & Engg. Hyderabad India Amity University Uttar Pradesh Greater Noida India Lloyd Institute of Management and Technology Greater Noida India

ISBN: (纸本)9798350304480

The implementation of the security system for all devices is through passive communication technology. People from different origins and different regions need a security system for their regions for all their platforms. The convincing type of security system is that it makes sure that it works under proper guidance and natural care of the system. The leverage for the security devices is to make them work under proper conditions and the defined process. The One-time password-based technology is also used for the security system and other surveillance of the system. The process of communication and the surveillance system is wholly monitored by the one-time password-based security theme. The major surveillance is done by the process of superior convenience through the successive surveillance of the devices. The metropolitan areas which are under surveillance will be having the same banking systems through the adhesive nature of the locking system for security purposes and other amenities. The user who accesses the locker will be given a username and password for his access and then they have imprinted their fingerprint for extra care and security. People with extra care and security will be endowed with one-time password access through their registered mobile. The mechanized introduction to the locking system will be enhanced through the proposed system. Thus it will help making the system to work on its way to maintain security and safety of the devices which has been endowed and developed through it. © 2023 IEEE.

关键词： Banking devices Banking security Communication system Fingerprint Sensor Locking mechanism Security

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Discrete Shuffled Frog Leading Algorithm for Multiple-product Human-robot Collaborative Disassembly Line Balancing Problem

Discrete Shuffled Frog Leading Algorithm for Multiple-produc...

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2022 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2022

作者： Fan, ChenYang Wang, JiaCun Guo, XiWang Qin, ShuJin Zhou, MengChu Qi, Liang Engineering of Liaoning Petrochemical University School of Information and Control Fushun China Engineering of Monmouth University Dept. Computer Science and Software West Long Branch United States Liaoning Petrochemical University Fushun China Monmouth University West Long Branch United States College of Economics and Management of Shangqiu Normal University Shangqiu China Dept. Electrical and Computer Engineering of New Jersey Institute of Technology Newark United States Tech of Shandong University of Science and Technology Dept. Computer Intelligent Sci. & Qingdao China

ISBN: (数字)9781665452588

ISBN: (纸本)9781665452588

With the rapid development of recycling and remanufacturing technologies, disassembly line balancing problems (DLBP) have drawn great attention. Considering the limitation of disassembly by humans or robots alone, this paper focuses on human-robot collaborative disassembly lines. Specifically, this work proposes a multi-product human-robot collaborative disassembly line balancing model to tackle the inflexibility of single product disassembly and inconsistency in recovery values of different product components. Its objective is to maximize disassembly profit. As a commercially available solver, IBM's CPLEX is used to obtain the exact solution of DLBP and verify the correctness of the proposed mathematical model. A discrete shuffled frog leading algorithm is newly designed to solve the sizable problems. Experimental results show that the proposed algorithm has a fast convergence rate and can find solutions consistent with those with CPLEX but requires much less time than the latter, thus advancing the field of disassembly automation. © 2022 IEEE.

关键词： Robots

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Employing Redundancy to Leverage Cybersecurity Protection of Safety-Critical Systems

Employing Redundancy to Leverage Cybersecurity Protection of...

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International Conference on Dependable Systems and Their Applications (DSA)

作者： Elena Troubitsyna Dept. of Computer Science KTH – Royal Institute of Technology Sweden Stockholm Sweden

Safety-critical systems become increasingly open and interconnected, which makes them a target of various cyberattacks. Such cyberattacks might jeopardise system safety and availability. Many safety-critical systems, such as railways, have a very long life cycle and hence, a large number of legacy components. The implementation of modern security protection mechanisms is often restricted due to the rigidness of legacy architecture and high re-certification costs. Therefore, it is desirable to efficiently utilise the potential already present in the system and enhance cybersecurity protection without major modifications. Safety-critical systems usually contain a high degree of redundancy required to achieve fault tolerance. In this paper, we investigate how to utilise redundancy to enhance cybersecurity protection. We demonstrate that by introducing diversity in the redundant architectures and implementing security monitoring, we can potentially enhance cybersecutiry protection of safety-critical systems.

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Sector-Wise Portfolio Risk Assessment: Monte Carlo Simulation of NIFTY 50 Stocks

Sector-Wise Portfolio Risk Assessment: Monte Carlo Simulatio...

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Advanced Computing Technologies (ICoACT), International Conference on

作者： A Sohan Avaneesh Guptha Sri Surya Shobith Kamisetty K Rupesh Venkata Sai Krishna Bharathi Mohan G Gundala Pallavi Prasanna Kumar R Dept. of Computer science & Engg. Amrita School of Computing Amrita Vishwa Vidyapeetham Chennai India School of Computer science & Engg. Vellore Institute of Technology Chennai India

ISBN: (数字)9798331509859

ISBN: (纸本)9798331509866

In today's volatile financial markets, with high uncertainty and economic fluctuations. Sectoral portfolio optimization poses a great challenge to the investor who seeks to optimize returns while managing risks across the diversified industries. Traditional methods, such as the Mean-Variance model, often disregard sector-specific complexities and fail to address extreme market scenarios well, leading to significant portfolio vulnerabilities. This paper presents an innovative approach based on the Mean-Value at Risk model, that merges mean-variance optimization with more advanced risk metrics including Value at Risk(VaR) and Conditional Value at Risk(CVaR). This methodology uses historical data for stock prices to derive sector-wise expected returns while making risk assessments using standard deviation and Value at Risk. Further, it provides a means of assessing tail risks by using Conditional Value at Risk(CVaR). Monte Carlo simulations(MCS) are used to explore portfolio weight combinations over a wide range of portfolios, thus giving a comprehensive risk-return analysis relevant to sector dynamics. The significant results are that sectors like Health Care offer attractive returns for moderate risk, and cyclical sectors such as Metals and Mining have higher volatility as well as risk exposure. The Mean-Value at Risk model allows the construction of diversified portfolios with balanced results, where the combined portfolio return of 14.79% which is impressive and a moderate level risk of 0.2133.

关键词： Analytical models Monte Carlo methods Uncertainty Metals Medical services Stability analysis Risk management Portfolios Optimization Standards

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AI-Powered Advertisement Design: A PIL-Based Approach for Quality and Performance Analysis

AI-Powered Advertisement Design: A PIL-Based Approach for Qu...

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Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE), International Conference

作者： Harshitha Chilupuri G. Ramesh J. Praveen Venkataramaiah Gude Dept. of Artificial Intelligence and Machine Learning Gokaraju Rangaraju Institute of Engineering and Technology Hyderabad India Dept. of Computer Science and Engineering Gokaraju Rangaraju Institute of Engineering and Technology Hyderabad India Department of Electrical and Electronics Engineering Gokaraju Rangaraju Institute of Engineering and Technology Hyderabad Telangana India GP Technologies LLC U.S.A.

ISBN: (数字)9798331515911

ISBN: (纸本)9798331515928

The paper presents the development of a Data science solution that applies generative AI models in order to create high-quality images to be used in visual marketing and advertising. Using the Python library PIL (Pillow) along with machine learning frameworks, the solution combines predefined product images with the selected backgrounds, enhancing image synthesis techniques for more appealing and contextually relevant visuals. This leads to improved efficiency and effectiveness in the creation of content by automatically placing product images onto the background images used in marketing campaigns. The approach demonstrated a 98.06% SSIM (Structural similarity Index) score, indicating significant visual quality improvement. Initial results suggest a 15% enhancement in visual appeal compared to traditional image creation methods.

关键词： Visualization Image transformation Generative AI Data science Libraries Performance analysis Indexes Advertising Optimization Python

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Securing Sensitive Data: How Blockchain Transforms Privacy in Healthcare, Law, and Education

Securing Sensitive Data: How Blockchain Transforms Privacy i...

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Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES), International Conference on

作者： Ajay Sudhir Bale T S Arulananth S Saranya Tejashwini Gadag J Sathiamoorthy Sudhakiran Ponnuru Dept. of ECE New Horizon College of Engineering Bengaluru Karnataka India Department of Electronics and communication Engineering MLR Institute of Technology Hyderabad Telangana India Dept. of Mathematics BMS Institute of Technology & Management Bengaluru India School of Computer Science Engineering Reva University Bengaluru India Department of Computer science and Design RMK Engineering college Kavarapettai India

ISBN: (数字)9798331543624

ISBN: (纸本)9798331543631

In the field of healthcare, law, and education, Blockchain technology (BT) is emerging as a transformative force. This paper helps to explore the usage of BT to enhance the privacy and security in the above said domains. In healthcare industry, blockchain offers privacy and secure management of the vital electronic health records (EHR) and patient health records (PHR), boosting the data integrity and access control. In the law sector, blockchain-enabled smart contracts are providing new possibilities for the transactions automation, transparency, and security of the transactions, thoroughly facing the challenges in terms of jurisdiction and compliance with regulations like GDPR. In the field of education, blockchain technology is improvising the record-keeping, degree verification, and collaborative learning environments. The paper helps to examine the features like the effectiveness, efficiency, and security aspects of blockchain implementations in these sectors, focusing on both the potential benefits and the challenges imposed that need to be addressed for the widespread adoption in real time.

关键词： Industries Data privacy Privacy Education Smart contracts Medical services Transforms Regulation Real-time systems Blockchains

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A Machine Learning-Enhanced IoT Wearable Device for Monitoring and Providing Feedback on Stuttering 3

A Machine Learning-Enhanced IoT Wearable Device for Monitori...

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3rd International Conference on Computational Modelling, Simulation and Optimization, ICCMSO 2024

作者： Suttarwala, Hussain Kumar, Ritesh Deorankar, Madhavi L. Daulat Sarpate, Dikshendra Shingade, Pallavi Kumar Sharma, Surender More, Vrushali Patkar, Uday Chandrakant Sharma, Deepak K. American Express Senior Software Engineer PhoenixAZ85054 United States Dr. Akhilesh Das Gupta Institute of Professional Studies Dept. of AI and Data Science Delhi New Delhi110053 India Marathwada Mitramandal College of Engineering Dept. of Electronics and Telecommunications Maharashtra Pune411052 India Zeal College of Engineering and Research Dept. of AI and Data Science MaharashtraNarhe Pune411041 India D Y Patil College of Engineering Dept. of AI and Data Science Akurdi Pune411041 India Poornima University Dept. of Electrical Engineering Jaipur India Genba Sopanrao Moze College of Engineering Dept. of AI and Data Science Balewadi Maharashtra Pune411045 India Bharati Vidyapeeth's College of Engineering Department of Computer Engineering Lavale Pune412115 India Savitribai Phule Pune University Dept. of AI and Data Science Maharashtra Pune India

ISBN: (纸本)9798350361391

This study introduces an innovative IoT-enabled wearable device tailored for monitoring and providing feedback on stuttering, leveraging advanced machine learning algorithms to enhance precision and real-time responsiveness. The device integrates an array of hardware and software elements, including sensors, microcontrollers, and communication protocols, to accurately capture speech patterns and movements. Utilizing machine learning techniques such as Support Vector Machines (SVM) and Convolutional Neural Networks (CNN), the device performs real-time analysis to identify stuttering instances. Detailed discussions cover the criteria for selecting machine learning models, the training and testing procedures, and the metrics used for performance evaluation. The prototype underwent extensive testing and validation, showcasing high accuracy, sensitivity, and specificity in differentiating stuttered from fluent speech. User feedback emphasized the ergonomic design, user-friendly interface, and real-time feedback features, highlighting its potential to significantly enhance stuttering therapy outcomes. Comparative analysis with existing solutions revealed the device's superior performance, indicating strong potential for clinical application. The study discusses the implications for stuttering therapy, acknowledges the limitations, outlines future research directions, and underscores the device's contributions to personalized and effective stuttering interventions. This research advances the field of assistive technologies in speech therapy and demonstrates the promise of IoT-based wearable devices integrated with machine learning for improving the quality of life for individuals with stuttering disorders. © 2024 IEEE.

关键词： Convolutional neural networks

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Generalized Index Modulation System and Application for Satellite Communications

Generalized Index Modulation System and Application for Sate...

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Novel Intelligent and Leading Emerging sciences Conference (NILES)

作者： Khaled A. Ghorib Amr Abdelaziz Ahmed F. Darwesh Yahya Mohasseb Dept. of Communication Engineering Military Technical College Cairo Egypt Dept. of Computer Engineering Arab Academy for Science Technology and Maritime Transport Cairo Egypt

ISBN: (数字)9798350378511

ISBN: (纸本)9798350378528

The generalized index modulation (G-IM) technique provides an improvement in bit error rate (BER), spectral efficiency (SE), and/or energy efficiency (EE) over traditional digital modulation schemes. However, G-IM techniques suffer from the propagation of errors due to the incorrect detection of indices for higher modulation order (M > 4). To alleviate the risk of error propagation, the enhancement of the correct indices detection probability is a crucial requirement for G-IM systems. This paper presents an error propagation-free generalized index modulation (G-IM) system with adaptive coding modulation in which the indices bits are coded independently on the information bits. The main focus of this study is to derive a quantitative relation between the target system BER and the required indices error rate and, hence, to derive the overall system error probability. In particular, an analytical total BER formula for the error propagation-free G-IM system is provided and compared to the total BER of the classical counterpart modulation techniques. Hence, a direct relationship between the BER of index bits and the ordinary modulation BER is represented, providing an approximate threshold after which the target BER of the G-IM system outperforms the traditional modulation techniques. To validate our established results, the G-IM system with low density parity check code with binary phase shift keying modulation technique (LDPC-BPSK), as a simple satellite coding-modulation scheme which is used in satellite digital video broadcasting TV (DVB-T2) and deep-space communications, is described as a possible direct application for the G-IM system. once the index BER exceeds the threshold, the LDPC-BPSK modulated G-IM system significantly outperforms the classical BPSK modulation while keeping the same EE or SE yet on the expense of added encoder complexity. Moreover, once the index error tends to the zero point, the total G-IM BER reaches its lower limit, a 3 dB gain, thanks t

关键词： Technological innovation TV Spectral efficiency Bit error rate Satellite broadcasting Modulation Binary phase shift keying Indexes Digital video broadcasting Adaptive coding

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