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Towards Higher Levels of Assurance in Remote Identity Proofing 迈向更高层次的远程身份验证保障
IF 4.5 4区 计算机科学
IEEE Consumer Electronics Magazine Pub Date : 2024-01-01 DOI: 10.1109/mce.2023.3256640
A. Nanda, S. W. Shah, J. Jeong, R. Doss, Jeb Webb
{"title":"Towards Higher Levels of Assurance in Remote Identity Proofing","authors":"A. Nanda, S. W. Shah, J. Jeong, R. Doss, Jeb Webb","doi":"10.1109/mce.2023.3256640","DOIUrl":"https://doi.org/10.1109/mce.2023.3256640","url":null,"abstract":"Identity proofing is often a prerequisite for accessing important services (e.g., opening a bank account). The current pandemic has highlighted the need for remote identity proofing (RIDP) that can enable applicants to prove their identity from anywhere, without the need for a special facility. However, the requirements set out by the National Institute of Standards and Technology for the highest level of assurance in RIDP systems currently rule out fully automated and remote solutions, as they are not yet foolproof. This article aims to propose a way forward for pervasive RIDP solutions and highlights the requirements for accomplishing the highest level of assurance in verifying identity. We pinpoint relevant issues and threats along with the current state-of-the-art countermeasures and discuss what else needs to be done to enable ubiquitous remote identity-proofing systems.","PeriodicalId":54330,"journal":{"name":"IEEE Consumer Electronics Magazine","volume":"1 1","pages":"62-71"},"PeriodicalIF":4.5,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62340129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Real-Time Physical Threat Detection on Edge Data Using Online Learning 利用在线学习对边缘数据进行实时物理威胁检测
IF 4.5 4区 计算机科学
IEEE Consumer Electronics Magazine Pub Date : 2024-01-01 DOI: 10.1109/mce.2023.3256641
Utsab Khakurel, D. Rawat
{"title":"Real-Time Physical Threat Detection on Edge Data Using Online Learning","authors":"Utsab Khakurel, D. Rawat","doi":"10.1109/mce.2023.3256641","DOIUrl":"https://doi.org/10.1109/mce.2023.3256641","url":null,"abstract":"Sensor-powered devices offer safe global connections, cloud scalability and flexibility, and new business value driven by data. The constraints that have historically obstructed major innovations in technology can be addressed by advancements in artificial intelligence (AI) and machine learning, cloud, quantum computing, and the ubiquitous availability of data. Edge artificial intelligence refers to the deployment of AI applications on the edge device near the data source rather than in a cloud computing environment. Although edge data have been utilized to make inferences in real time through predictive models, real-time machine learning has not yet been fully adopted. Real-time machine learning utilizes real-time data to learn on the go, which helps in faster and more accurate real-time predictions and eliminates the need to store data eradicating privacy issues. In this article, we present the practical prospect of developing a physical threat detection system using real-time edge data from security cameras/sensors to improve the accuracy, efficiency, reliability, security, and privacy of the real-time inference model.","PeriodicalId":54330,"journal":{"name":"IEEE Consumer Electronics Magazine","volume":"1 1","pages":"72-78"},"PeriodicalIF":4.5,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62340138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
CTSoc Innovators CTSoc 创新者
IF 4.5 4区 计算机科学
IEEE Consumer Electronics Magazine Pub Date : 2024-01-01 DOI: 10.1109/mce.2023.3320839
{"title":"CTSoc Innovators","authors":"","doi":"10.1109/mce.2023.3320839","DOIUrl":"https://doi.org/10.1109/mce.2023.3320839","url":null,"abstract":"","PeriodicalId":54330,"journal":{"name":"IEEE Consumer Electronics Magazine","volume":"14 3","pages":""},"PeriodicalIF":4.5,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139129115","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Blockchain for Cybersecurity in Edge Networks 区块链促进边缘网络的网络安全
IF 4.5 4区 计算机科学
IEEE Consumer Electronics Magazine Pub Date : 2024-01-01 DOI: 10.1109/MCE.2022.3141068
A. Hazra, A. Alkhayyat, Mainak Adhikari
{"title":"Blockchain for Cybersecurity in Edge Networks","authors":"A. Hazra, A. Alkhayyat, Mainak Adhikari","doi":"10.1109/MCE.2022.3141068","DOIUrl":"https://doi.org/10.1109/MCE.2022.3141068","url":null,"abstract":"The blockchain is one of the most promising and artistic cybersecurity solutions. It has been practiced in a variety of reinforcements, including healthcare, transportation, and Internet of Things (IoT) applications. However, blockchain has a colossal scalability challenge, limiting its ability to control services with high transaction volumes. Edge computing, on the other hand, was designed to allow cloud services and resources to be deployed at the network's edge, although it now faces issues in terms of decentralized security and management. The unification of edge computing and blockchain within one solution jar provides a vast scale of storage systems, database servers, and authenticity computation toward the end in a safe fashion. This article provides an overview of the secure IoT framework, paradigms, enablers, and security problems of combining blockchain and intelligent edge computing. Finally, broader viewpoints for future research directions are investigated.","PeriodicalId":54330,"journal":{"name":"IEEE Consumer Electronics Magazine","volume":"21 10","pages":"97-102"},"PeriodicalIF":4.5,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139126343","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
CTSoc Technical Talks CTSoc 技术讲座
IF 4.5 4区 计算机科学
IEEE Consumer Electronics Magazine Pub Date : 2024-01-01 DOI: 10.1109/mce.2023.3320847
{"title":"CTSoc Technical Talks","authors":"","doi":"10.1109/mce.2023.3320847","DOIUrl":"https://doi.org/10.1109/mce.2023.3320847","url":null,"abstract":"","PeriodicalId":54330,"journal":{"name":"IEEE Consumer Electronics Magazine","volume":"37 9","pages":""},"PeriodicalIF":4.5,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139126573","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
CTSoc Newsletter 半边天通讯
IF 4.5 4区 计算机科学
IEEE Consumer Electronics Magazine Pub Date : 2024-01-01 DOI: 10.1109/mce.2023.3320851
{"title":"CTSoc Newsletter","authors":"","doi":"10.1109/mce.2023.3320851","DOIUrl":"https://doi.org/10.1109/mce.2023.3320851","url":null,"abstract":"","PeriodicalId":54330,"journal":{"name":"IEEE Consumer Electronics Magazine","volume":"1 2","pages":""},"PeriodicalIF":4.5,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139124949","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
CTSoc Members CTSoc 成员
IF 4.5 4区 计算机科学
IEEE Consumer Electronics Magazine Pub Date : 2024-01-01 DOI: 10.1109/mce.2023.3320833
{"title":"CTSoc Members","authors":"","doi":"10.1109/mce.2023.3320833","DOIUrl":"https://doi.org/10.1109/mce.2023.3320833","url":null,"abstract":"","PeriodicalId":54330,"journal":{"name":"IEEE Consumer Electronics Magazine","volume":"3 3","pages":""},"PeriodicalIF":4.5,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139127427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
AI-Driven EEC for Healthcare IoT: Security Challenges and Future Research Directions ai驱动的医疗物联网EEC:安全挑战和未来研究方向
IF 4.5 4区 计算机科学
IEEE Consumer Electronics Magazine Pub Date : 2024-01-01 DOI: 10.1109/mce.2022.3226585
M. Adil, M. K. Khan, A. Farouk, M. Jan, Adnan Anwar, Zhanpeng Jin
{"title":"AI-Driven EEC for Healthcare IoT: Security Challenges and Future Research Directions","authors":"M. Adil, M. K. Khan, A. Farouk, M. Jan, Adnan Anwar, Zhanpeng Jin","doi":"10.1109/mce.2022.3226585","DOIUrl":"https://doi.org/10.1109/mce.2022.3226585","url":null,"abstract":"Emerging edge computing (EEC) has been introduced as an innovative paradigm for the healthcare applications of the Internet of Things (IoT) that aims to distribute the network resources at the network edges to improve security, communication, and decision-making processes. The operation of healthcare IoT applications typically needs the presence of interoperable modules. Despite numerous benefits, these applications face many security challenges at the network edge. In this context, advanced artificial intelligence (AI) techniques can be used at the network edges for these applications to efficiently utilize the available resources securely. To this end, we aim to present a detailed survey of healthcare IoT applications in the context of AI-enabled EEC technology to identify unresolved security challenges that need attention from the research community and healthcare stakeholders, and then suggest potential research directions to give a clear future insight.","PeriodicalId":54330,"journal":{"name":"IEEE Consumer Electronics Magazine","volume":"1 1","pages":"39-47"},"PeriodicalIF":4.5,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62340465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Securing Industrial Control Systems from Cyber-Attacks: A Stacked Neural-Network based Approach 保护工业控制系统免受网络攻击:基于堆叠神经网络的方法
IF 4.5 4区 计算机科学
IEEE Consumer Electronics Magazine Pub Date : 2024-01-01 DOI: 10.1109/mce.2022.3168997
Sujeet S. Jagtap, Shankar Sriram V. S., K. Kotecha, S. V.
{"title":"Securing Industrial Control Systems from Cyber-Attacks: A Stacked Neural-Network based Approach","authors":"Sujeet S. Jagtap, Shankar Sriram V. S., K. Kotecha, S. V.","doi":"10.1109/mce.2022.3168997","DOIUrl":"https://doi.org/10.1109/mce.2022.3168997","url":null,"abstract":"Demanding scientific evolution and undisrupted resource requirement of consumers signified the amalgamation of mechanical production, mass production, and digitalized production for the fourth industrial revolution, “Industry 4.0.” Critical infrastructures that operate and govern industrial sectors and public utilities, such as water desalination plants, smart grids, and gas pipelines, incorporated this cognitive-mechatronic augmentation for the seamless integration of software, control components, and production employees to increase the productivity scale. Although connectivity, automation, and optimization made industrial sectors realize the full potential of smart manufacturing, the inclusion of supervisory control and data acquisition systems into cyberspace expanded the attack vectors that made industrial control systems the prime target for cyber-attackers. Conventional security solutions, such as firewalls, traditional intrusion-detection systems, and antivirus, have been proposed and developed by the research community acted as a proficient line of cyber-defense. However, protecting critical infrastructures from heterogeneous cyber-attacks for resilient operability still pose a significant research challenge. In addition, although machine learning and deep-learning-based intrusion-detection models have been proposed and optimized in the literature, operational viability still poses a significant setback for real-time intrusion detection on industrial control systems. By considering the limitations identified in the literature, a stacked deep-learning model is proposed and validated over laboratory-scale industrial datasets. Furthermore, this article provides an overview of cyber-physical systems, conventional security solutions, and their challenges in identifying unseen exploits. As a concluding remark, JARA: a hybrid opensource deployment-ready intelligent intrusion-detection system, has been presented that feasibly detects the HnS IIoT malware when deployed on a Linux virtual machine.","PeriodicalId":54330,"journal":{"name":"IEEE Consumer Electronics Magazine","volume":"1 1","pages":"30-38"},"PeriodicalIF":4.5,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62339828","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Enhancing Cryptocurrency Security using AI Risk Management Model 利用人工智能风险管理模型增强加密货币的安全性
IF 4.5 4区 计算机科学
IEEE Consumer Electronics Magazine Pub Date : 2024-01-01 DOI: 10.1109/mce.2023.3238848
M. Elhoseny, A. Darwiesh, A. El-Baz, Joel J. P. C. Rodrigues
{"title":"Enhancing Cryptocurrency Security using AI Risk Management Model","authors":"M. Elhoseny, A. Darwiesh, A. El-Baz, Joel J. P. C. Rodrigues","doi":"10.1109/mce.2023.3238848","DOIUrl":"https://doi.org/10.1109/mce.2023.3238848","url":null,"abstract":"With the help of social media indicators, this study offers a brand-new intelligent risk management model to enhance the security of cryptocurrency. Based on surveying the previous studies, we found most of them focused on employing many techniques to enhance virtual currencies' security. However, there is no study concentrated on mining threats depending on investors' perceptions. These perceptions can give us a clear overview about the critical risks and threats. This model employs natural language processing techniques to perform risk analysis for the interactions of users on social media platforms. Additionally, a case study on investors of virtual currencies in the USA is presented where the findings of the obtained results refer to almost a quarter of the sample includes risk indications that can be classified as not only technological risks but also financial, operational, and geopolitical risks. Furthermore, performance metrics are calculated to show the new model's capabilities such that the mean accuracy for risk analysis, risk identification, and risk assessment is 77%.","PeriodicalId":54330,"journal":{"name":"IEEE Consumer Electronics Magazine","volume":"1 1","pages":"48-53"},"PeriodicalIF":4.5,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62340506","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
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