2023 IEEE International Conference on Electro Information Technology (eIT)最新文献

Cybersecurity Awareness Training: A Use Case Model 网络安全意识培训:一个用例模型

2023 IEEE International Conference on Electro Information Technology (eIT) Pub Date : 2023-05-18 DOI: 10.1109/eIT57321.2023.10187349

D. Möller, H. Vakilzadian

{"title":"Cybersecurity Awareness Training: A Use Case Model","authors":"D. Möller, H. Vakilzadian","doi":"10.1109/eIT57321.2023.10187349","DOIUrl":"https://doi.org/10.1109/eIT57321.2023.10187349","url":null,"abstract":"Cybersecurity is a computing-based discipline dealing with cyber-attacks that harm organizations. It spans many areas of an organization, including but not limited to data security, cryptography, software and hardware security, network and systems security, and others. Thus, cybersecurity is fundamental to protecting confidential data, business assets, and operations. Therefore, any organization must defend against any unauthorized access by cyber-attackers. Hence, implementing cybersecurity is to ensure a security posture for computers, servers, networks, mobile devices, and the data stored on these devices to protect against potential cyber-attackers' malicious intentions. In this regard, cybersecurity risk is critical for all organizations, requiring awareness for employees, specialists, managers, and others that work with sensitive data, business assets, and operations. Cybersecurity training is essential to provide a certain level of cybersecurity awareness l to support organization staff with a comprehensive perspective on potential cyber-attack risks and skills for risk defense. This requires developing a program in cybersecurity awareness training that empowers individuals and organizations to seize opportunities and tackle cybersecurity challenges with the necessary knowledge, skills, and practices described in the curriculum example for training. This paper focus on training on respective knowledge skills and topics for a cybersecurity program to develop effective and efficient skills for participating personnel, enabling them to identify and defend against malicious cyber-attacks [1].","PeriodicalId":113717,"journal":{"name":"2023 IEEE International Conference on Electro Information Technology (eIT)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117258508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Segmenting and Genotyping Large, Polymorphic Inversions 大的、多态反转的片段和基因分型

2023 IEEE International Conference on Electro Information Technology (eIT) Pub Date : 2023-05-18 DOI: 10.1109/eIT57321.2023.10187331

R. J. Nowling, Samuel H. Keyser, Alex R. Moran, John G. Peters, Daniel Leskiewicz

引用次数: 0

Integrated Modeling and Optimal Operation of Multi-Energy System for Coastal Community 沿海社区多能源系统集成建模与优化运行

2023 IEEE International Conference on Electro Information Technology (eIT) Pub Date : 2023-05-18 DOI: 10.1109/eIT57321.2023.10187307

Yang Chen, Jun Chen, Chen-Zhe Liu, Guodong Liu, Maximiliano F. Ferrari, Aditya Sundararajan

引用次数: 0

Heterogeneity Tolerance in IoT Botnet Attack Classification 物联网僵尸网络攻击分类中的异构容忍

2023 IEEE International Conference on Electro Information Technology (eIT) Pub Date : 2023-05-18 DOI: 10.1109/eIT57321.2023.10187264

Samuel Kalenowski, David Arnold, M. Gromov, J. Saniie

{"title":"Heterogeneity Tolerance in IoT Botnet Attack Classification","authors":"Samuel Kalenowski, David Arnold, M. Gromov, J. Saniie","doi":"10.1109/eIT57321.2023.10187264","DOIUrl":"https://doi.org/10.1109/eIT57321.2023.10187264","url":null,"abstract":"Due to the rapid adoption of Internet of Things (IoT) technologies, many networks are composed of a patchwork of devices designed by different software and hardware developers. In addition to the heterogeneity of IoT networks, the general rush-to-market produced products with poor adherence to core cybersecurity principles. Coupled together, these weaknesses leave organizations vulnerable to attack by botnets, such as Mirai and Gafgyt. Infected devices pose a threat to both internal and external devices as they attempt to add new devices to the collective or to perpetrate targeted attacks within the network or against third parties. Artificial Intelligence (AI) tools for intrusion detection are popular platforms for detecting indicators of botnet infiltration. However, when training AI tools, the heterogeneity of the network hampers detection and classification accuracy due to the differences in device architecture and network layout. To investigate this challenge, we explored the application of a Neural Network (NN) to the N-BaIoT dataset. The NN achieved 94% classification accuracy when trained using data from all devices in the network. Further, we examined the model's transferability by training on a single device and applying it to data from all devices. This resulted in a noticeable decline in classification accuracy. However, when considering cyberattack detection the model retained a very high true positive rate of 99.6%.","PeriodicalId":113717,"journal":{"name":"2023 IEEE International Conference on Electro Information Technology (eIT)","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126720354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimization of Microwave Resonant Cavity Flowmeter Design for High Temperature Fluid Sensing Applications 用于高温流体传感的微波谐振腔流量计的优化设计

2023 IEEE International Conference on Electro Information Technology (eIT) Pub Date : 2023-05-18 DOI: 10.1109/eIT57321.2023.10187362

Tianyang Fang, J. Saniie, S. Bakhtiari, A. Heifetz

引用次数: 0

IoT-Enabled Smart Bike Helmet with an AI-Driven Collision Avoidance System 具有人工智能防撞系统的物联网智能自行车头盔

2023 IEEE International Conference on Electro Information Technology (eIT) Pub Date : 2023-05-18 DOI: 10.1109/eIT57321.2023.10187299

Jacob Solus, Maureen Rakotondraibe, Xinrui Yu, Won-Jae Yi, M. Gromov, J. Saniie

引用次数: 0

Speed-Optimized Implementation of Fast Chirplet Decomposition Algorithm on FPGA-SoC 快速小波分解算法在FPGA-SoC上的速度优化实现

2023 IEEE International Conference on Electro Information Technology (eIT) Pub Date : 2023-05-18 DOI: 10.1109/eIT57321.2023.10187330

A. Fite, M. Gromov, Tianyang Fang, J. Saniie

{"title":"Speed-Optimized Implementation of Fast Chirplet Decomposition Algorithm on FPGA-SoC","authors":"A. Fite, M. Gromov, Tianyang Fang, J. Saniie","doi":"10.1109/eIT57321.2023.10187330","DOIUrl":"https://doi.org/10.1109/eIT57321.2023.10187330","url":null,"abstract":"In ultrasonic nondestructive evaluation (NDE) of materials an essential step in characterizing an ultrasonic signal is decomposing the patterns of multiple interfering echoes. The Chirplet Transform (CT) is a powerful method to analyze the echoes in an ultrasonic signal. However, CT analysis is computationally heavy and impractical. Motivated by achieving real-time execution of the CT this research presents a speed-optimized implementation of the chirplet functions on FPGA. Chirplet echo generation used in Fast Chirplet Decomposition (FCD) Algorithm for ultrasonic signal analysis necessitates the frequent generation of chirplet functions with a 6-degree of freedom associated with chirplet parameters including the amplitude scaler; the time of arrival; the Gaussian envelope scaler; the phase of the chirplet; the center frequency and the frequency sweep. By minimizing the processing time of the chirplet generation, the FCD algorithm can be implemented efficiently on FPGA System-on-Chip (SoC). This study presents the hardware realization of the chirplet function on FPGA which is 37 times faster compared to using a Teensy 4.0 microcontroller, and 146 times faster than a highly popular Raspberry Pi 4.0 single board computer.","PeriodicalId":113717,"journal":{"name":"2023 IEEE International Conference on Electro Information Technology (eIT)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117039878","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Low-rate GPS Coordinate Communication Protocol Embedded into VHF Beacon for Animal Tracking 嵌入甚高频信标的低速率GPS坐标通信协议用于动物跟踪

2023 IEEE International Conference on Electro Information Technology (eIT) Pub Date : 2023-05-18 DOI: 10.1109/eIT57321.2023.10187273

Jesse Holwerda, B. Dunne, Paul W. Keenlance

引用次数: 0

Fire Security Systems Analysis and Internet of Things Implications 消防安全系统分析和物联网影响

2023 IEEE International Conference on Electro Information Technology (eIT) Pub Date : 2023-05-18 DOI: 10.1109/eIT57321.2023.10187236

Susana Rodriguez Fuerte, Xinrui Yu, J. Saniie

引用次数: 0

Raspberry Pi Based Computing Prototypes: Design, Implementation and Performance Analysis 基于树莓派的计算原型:设计、实现和性能分析

2023 IEEE International Conference on Electro Information Technology (eIT) Pub Date : 2023-05-18 DOI: 10.1109/eIT57321.2023.10187384

Seth Wolfgang, Xiang Cao

引用次数: 0