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Conference on information and Knowledge technology

作者： Neda Toghraee Hamid Mala Dept. of Information Technology Engineering Faculty of Computer Engineering University of Isfahan Isfahan Iran

ISBN: (数字)9798331522254

ISBN: (纸本)9798331522261

Drones have evolved into sophisticated autonomous systems with a multitude of applications, including military operations, environmental monitoring, traffic oversight, data transmission, package delivery, fire targeting, and film production. As the Internet of Drones (IoD) ecosystem expands, ensuring secure and real-time access for authorized users becomes increasingly vital. User and drone authentication is crucial for this reason. In response to these challenges, Srinivas et al. proposed a lightweight three-factor authentication protocol designed for the IoD. While the authors assert that their protocol is resilient against known cyber threats, our research identifies critical vulnerabilities that challenge this claim. Although this scheme has already been cryptanalyzed in previous studies, in this paper we propose two new attacks on this scheme. Firstly, we present a concrete attack against the perfect forward secrecy of this scheme, and then we show that it is vulnerable to unauthorized access attack by a valid user to an unauthorized area's information. These weaknesses highlight the pressing need for the development of more secure authentication mechanisms in the IoD environment. Moving forward, addressing these vulnerabilities will be essential for fostering trust and ensuring the safe integration of drones into various applications, ultimately contributing to the advancement of IoD technology.

关键词： Protocols Authentication Production Pressing Real-time systems Product delivery Internet Security Reliability Drones

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Embedded SRAM circuit design technologies for a 45nm and beyond

Embedded SRAM circuit design technologies for a 45nm and bey...

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International Conference on ASIC

作者： Hiroyuki Yamauchi Faculty of Information Engineering Department of Computer Science and Engineering Fukuoka Institute of Technology Fukuoka Japan

This paper describes what has been happening in SRAM scaling trend in terms of bit-cell size and operating voltage (Vdd) since 65 nm process generation. The key design solutions to extend a 6T SRAM lifetime are reviewed and discussed including a possible bit cell scaling trend comparing with an 8T SRAM as one of the successors. Each dependency of 3 key margins of write margin (WRM), static noise margin (SNM), and cell current (Icell) on the scaling ratio of Vdd and MOSFET channel feature size has been shown to clarify the real issues in the scaling. The bit cell area scaling trends of 6T and 8T SRAMs are predicted. It has been shown that the area of 6T will be getting closer to that of 8T at 32 nm and should cross over around 22 nm. In addition, design solutions to brake on runaway leakage increasing with scaling threshold voltage (Vt) and gate oxide thickness are reviewed and discussed.

关键词： Random access memory Circuit synthesis MOS devices Design engineering Threshold voltage computer science Signal to noise ratio MOSFET circuits Very large scale integration Moore's Law

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Securing Primary Users in IoT 5G Cognitive Radio Networks 32

Securing Primary Users in IoT 5G Cognitive Radio Networks

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32nd International Conference on Software, Telecommunications and computer Networks, SoftCOM 2024

作者： Alrjoob, Ayat M. Ababnah, Ahmad A. Al-Mistarihi, Mamoun F. Darabkh, Khalid A. German-Jordanian University School of Electrical Engineering and Information Technology Electrical and Communication Engineering Department Amman11180 Jordan Jordan University of Science and Technology Faculty of Engineering Electrical Engineering Department P.o.Box 3030 Irbid22110 Jordan The University of Jordan School of Engineering Computer Engineering Department Amman11942 Jordan

ISBN: (纸本)9789532901382

The Internet of Things (IoT) has transformed device communication, necessitating reliable information security, especially physical layer security (PLS). Protecting data confidentiality in wireless transfers is critical in IoT environments. Cognitive Radio Networks (CRNs) optimize spectrum utilization, enhancing network efficiency. This study investigates PLS in CRNs, featuring a primary source-destination pair and a secondary user (SU) that performs cooperative jamming to secure the primary user's (PU) communication. The SU generates artificial interference, with transmit power determined by the primary network's interference tolerance. We develop mathematical formulas to assess outage probabilities, aiming to enhance security and efficiency in IoT and spectrum management. © 2024 University of Split, FESB.

关键词： Risk assessment

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Statistics of critical avalanches in vertical nanopillar arrays

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International MultiConference of Engineers and computer Scientists 2013, IMECS 2013

作者： Domański, Zbigniew Derda, Tomasz Sczygiol, Norbert Institute of Mathematics Czestochowa University of Technology Dabrowskiego 69 PL-42201 Czestochowa Poland Faculty of Mechanical Engineering and Computer Science Czestochowa University of Technology Dabrowskiego 69 PL-42201 Czestochowa Poland Institute of Computer and Information Sciences Czestochowa University of Technology Dabrowskiego 69 PL-42201 Czestochowa Poland

ISBN: (纸本)9789400776838

Nanopillar arrays are encountered in numerous areas of nanotechnology such as bio-medical and chemical sensing, nanoscale electronics, photovoltaics or thermoelectrics. Especially arrays of nanopillars subjected to uniaxial microcompression reveal the potential applicability of nanopillars as components for the fabrication of electro-mechanical sense devices. Thus, it is worth to analyze the failure progress in such systems of pillars. Under the growing load pillars destruction forms an avalanche and when the load exceeds a certain critical value the avalanche becomes self-sustained until the system is completely destroyed. In this work we have explored the distributions of such catastrophic avalanches appearing in overloaded systems. Specifically, we analyze the relations between the size of an avalanche being the numbers of instantaneously crushed pillars and the size of the corresponding array of nanopillars using different load transfer protocols. © 2014 Springer Science+Business Media Dordrecht.

关键词： Distribution functions

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Fake Currency Note Recognition using Extreme Learning Machine 2

Fake Currency Note Recognition using Extreme Learning Machin...

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2nd International Conference on Applied Artificial Intelligence and Computing, ICAAIC 2023

作者： Kumar, Rajeev Lamba, Anil Kumar Mohammed, Sayed Asokan, Anju Aswal, Upendra Singh Kolavennu, Subbarao Gopal Narayan Singh University Faculty of Information Technology Bihar Jamuhar India Psna College of Engineering and Technology Ece Tamilnadu Dindigul India Graphic Era Deemed to Be University Department of Computer Science & Engineering Uttarakhand Dehradun India School of Computer Science and Engineering Geeta University Delhi India Sri Eshwar College of Engineering Kinathukadavu Department of Computer and Communication Engineering Tamilnadu Coimbatore India Sphoorthy Engineering College Cse Cyber Security Department Telangana Hyderabad India

ISBN: (纸本)9781665456302

Color printing technology has made it simpler for forgers to make and copy large numbers of fake currency. The production of legible banknotes was once the sole purview of print shops, but today even a novice printer with a simple laser printer can do the job. Because of this, the prevalence of counterfeit money has increased dramatically. A number of problems, including corruption and the existence of 'black money,' have hounded India for a long time. There is also a serious problem with the circulation of counterfeit currency. The outcome is a system that can detect fake currency with greater speed and precision. It is a serious crime to create counterfeit currency, which is money that has not been authorized by the government. The vast majority of them do this professionally. The circulation of counterfeit currency retards economic development and devalues legitimate currency. In this study, it uses image processing to the problem of identifying fake Indian notes. This technique finishes the initial acquisition before the image is processed further. Pre-processing includes actions such as cropping, smoothing, and modifying the image;converting the image to greyscale;applying image segmentation;extracting features;and resizing the image. The model is then trained using an ELM. Proposed model exceeds both the CNN and SVM models in terms of accuracy, at around 97.8 percent. © 2023 IEEE.

关键词： Crime

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Identification and Analysis of Phishing Website based on Machine Learning Methods 12

Identification and Analysis of Phishing Website based on Mac...

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12th IEEE Symposium on computer Applications and Industrial Electronics, ISCAIE 2022

作者： Alkawaz, Mohammed Hazim Joanne Steven, Stephanie Mohammad, Omar Farook Gapar Md Johar, Md Management and Science University Faculty of Information Sciences & Engineering Selangor Shah Alam Malaysia Management and Science University School of Graduates Studies Selangor Shah Alam Malaysia Al-Hadba University College Computer Technology Engineering Mosul Iraq Management and Science University Information Technology and Innovation Centre Selangor Shah Alam Malaysia

ISBN: (纸本)9781665487030

People are increasingly sharing their details online as internet usage grows. Therefore, fraudsters have access to a massive amount of information and financial activities. The attackers create web pages that seem like reputable sites and transmit the malevolent content to victims to get them to provide subtle information. Prevailing phishing security measures are inadequate for detecting new phishing assaults. To accomplish this aim, objective to meet for this research is to analyses and compare phishing website and legitimate by analyzing the data collected from open-source platforms through a survey. Another objective for this research is to propose a method to detect fake sites using Decision Tree and Random Forest approaches. Microsoft Form has been utilized to carry out the survey with 30 participants. Majority of the participants have poor awareness and phishing attack and does not obverse the features of interface before accessing the search browser. With the data collection, this survey supports the purpose of identifying the best phishing website detection where Decision Tree and Random Forest were trained and tested. In achieving high number of feature importance detection and accuracy rate, the result demonstrates that Random Forest has the best performance in phishing website detection compared to Decision Tree. © 2022 IEEE.

关键词： Decision trees

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Investigating the Use of Artificial Intelligence for Secure and Transparent Record Keeping in Education 2

Investigating the Use of Artificial Intelligence for Secure ...

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2nd International Conference on Informatics, ICI 2023

作者： Ravindar, B. Naik, Darshana A. Jain, Neetu Lourens, Melanie Tiwari, Mohit Kunekar, Pankaj SR University School of Sciences Telangana Warangal India Ramaiah Institute of Technology Department of Computer Science and Engineering Bangalore India Institute of Management and Research New Delhi India Durban University of Technology Faculty of Management Sciences South Africa Bharati Vidyapeeth's College of Engineering Department of Computer Science and Engineering Delhi India Vishwakarma Institute of Technology Department of Information Technology Maharashtra Pune India

ISBN: (纸本)9798350343830

Numerous businesses, particularly education, are being rapidly transformed by artificial intelligence (AI). AI is being utilised in school management to enhance student results, the learning experience, and administrative chores. This study intends to investigate the use of AI in educational management, comprising advantages and disadvantages. The study effort examines the literature on AI in school management using a systematic review method. According to the research, AI has several benefits, such as increased student engagement, personalised instruction, and cost effectiveness. But AI also presents several difficulties, including ethical issues, possible biases, and the necessity to reskill the workforce. The study finds that AI may significantly enhance educational management, but its application must be done so carefully and cautiously. © 2023 IEEE.

关键词： Students

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A discussion on SRAM circuit design trend in deeper nano-meter era

A discussion on SRAM circuit design trend in deeper nano-met...

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International SoC Design Conference, ISOCC

作者： Hiroyuki Yamauchi Faculty of Information Engineering Department of Computer Science and Engineering Fukuoka Institute of Technology Fukuoka Japan

ISBN: (纸本)9781424425983

This paper describes the comparisons of area scaling trend of various SRAM margin-assist solutions for VT variability issues, which are based on efforts by not only the cell topology changes from 6 T to 8 T and 10 T but also incorporating multiple voltages supply for cell terminal biasing and timing sequence controls of read and write. The various solutions are analyzed in light of an impact of ever increasing VT variation (sigma VT ) on the required area overhead for each design solution, resulting in slowdown in the scaling pace. It has been found that 6 T will be allowed long reign even in 15 nm, if sigma VT increasing pace is optimistically assumed, which sigma VT can be suppressed to <70 mV even at 15 nm, thanks to EOT scaling for LSTP process, otherwise 10 T and 8 T with read modify write will be needed.

关键词： Random access memory Circuit synthesis

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RESTful device interaction architecture for embedded devices

Research Reports on Information Science and Electrical Engin...

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Research Reports on information Science and Electrical engineering of Kyushu University 2009年第2期14卷 53-58页

作者： Hayakawa, Hiroshi Sato, Kenya Tagashira, Shigeaki Nakanishi, Tsuneo Fukuda, Akira Department of Computer Science and Communication Engineering Department of Information Systems Design Faculty of Science and Engineering Doshisha University Japan Department of Advanced Information Technology

Toward ubiquitous network society, there have been challenges to construct smart spaces in living space such as homes and offices by connecting embedded devices with each other;however, many existing smart spaces tend to depend on particular platform or be a self-contained environment. In this paper, we describe requirements on frameworks for smart spaces with embedded devices, and then propose a new framework based on the requirements. The proposed framework is designed to have high scalability and be suitable for cross-platform environments by employing RESTful web service for device interaction architecture. By encoding communication messages for requesting services in x-www-form-urlencoded scheme, the proposed framework can support many kinds of devices including resource-limited devices which can't afford an XML parser. Evaluation with existing frameworks shows the proposed framework is suitable as a framework for smart spaces because of its simple and lightweight architecture.

关键词： Web services

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Problem solving based on evolutionary neural network algorithms

Problem solving based on evolutionary neural network algorit...

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International Conference on information technology Interfaces

作者： P. Kocalka V. Vojtek Faculty of Electrical Engineering and Information Technology Department of Computer Science and Engineering Slovak University of Technology Bratislava Slovakia

ISBN: (纸本)9539676932

It is generally known that neural network algorithms are used for solving certain types of problems. Usually, we have a given problem and we look for the most suitable type of network, which would be able to solve the problem in the most effective way. We tried to suggest a method based on the fact that we will not look for the suitable network but the network will evolve itself.

关键词： Problem-solving Neural networks Genetic algorithms Binary codes Evolutionary computation DNA Genetic mutations information technology computer science State-space methods

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