2022 IEEE World AI IoT Congress (AIIoT)最新文献_第5页

Ensemble Reinforcement Learning Framework for Sum Rate Optimization in NOMA-UAV Network 基于集成强化学习框架的NOMA-UAV网络和速率优化

2022 IEEE World AI IoT Congress (AIIoT) Pub Date : 2022-06-06 DOI: 10.1109/aiiot54504.2022.9817159

S. K. Mahmud, Yue Chen, K. K. Chai

引用次数: 2

Analysis of the primary attacks on IoMT Internet of Medical Things communications protocols IoMT医疗物联网通信协议主要攻击分析

2022 IEEE World AI IoT Congress (AIIoT) Pub Date : 2022-06-06 DOI: 10.1109/aiiot54504.2022.9817252

Carlos Jose Martinez, S. Galmés

{"title":"Analysis of the primary attacks on IoMT Internet of Medical Things communications protocols","authors":"Carlos Jose Martinez, S. Galmés","doi":"10.1109/aiiot54504.2022.9817252","DOIUrl":"https://doi.org/10.1109/aiiot54504.2022.9817252","url":null,"abstract":"Technological evolution and the current situation in the world have given rise to new emerging realities in medicine, such as point-of-care diagnosis and individualized health service without limitations such as time and place. Thanks to IoMT, new forms of contact between healthcare providers and patients have been developed using the Internet. This research aims to analyze the security of IoMT communication protocols and their limitations. For this purpose, an exhaustive review of the literature on intelligent healthcare is performed because there are many articles published in indexed journals that have addressed these issues in recent years. This review involves a bibliometric analysis of the variables Protocols, Communication, and IoMT, which bases its search on Scopus to fulfill the objective. A total of 27 documents published during the period 2015–2020 were identified as 2019, the year in which the most significant record was achieved with 11 publications; it is also established that 51.9% of the identified documents are of type Journal Article 33.3 % Conference Articles. Next, this literature is analyzed, particularly those publications emphasizing the security measures of the protocols, their vulnerabilities, and the attacks to which IoMT implementations are subjected, to make known the position of different authors regarding the subject proposed in this document. Finally, future research directions are provided to further progress in constructing theories related to the topic studied.","PeriodicalId":409264,"journal":{"name":"2022 IEEE World AI IoT Congress (AIIoT)","volume":"328 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133569842","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: 2

Facial Detection in Low Light Environments Using OpenCV 使用OpenCV进行低光环境下的人脸检测

2022 IEEE World AI IoT Congress (AIIoT) Pub Date : 2022-06-06 DOI: 10.1109/aiiot54504.2022.9817372

Christopher Le, Tauheed Khan Mohd

引用次数: 1

Implementation of Semantic Textual Similarity between Requirement Specification and Use Case Description Using WUP Method (Case Study: Sipjabs Application) 使用WUP方法实现需求说明和用例描述之间的语义文本相似性(案例研究:sipjab应用程序)

2022 IEEE World AI IoT Congress (AIIoT) Pub Date : 2022-06-06 DOI: 10.1109/aiiot54504.2022.9817311

Elsa Jelista Sari, Y. Priyadi, Rosa Reska Riskiana

{"title":"Implementation of Semantic Textual Similarity between Requirement Specification and Use Case Description Using WUP Method (Case Study: Sipjabs Application)","authors":"Elsa Jelista Sari, Y. Priyadi, Rosa Reska Riskiana","doi":"10.1109/aiiot54504.2022.9817311","DOIUrl":"https://doi.org/10.1109/aiiot54504.2022.9817311","url":null,"abstract":"The SRS used in this study is an application called “Sipjabs”. This application processes data regarding the position of human resources to meet the needs of a company. This research aims to implement semantic textual similarity in software requirements specification through functional requirements with use case diagrams using the Wu Palmer (WUP) method in finding semantics. This research method is presented in a flow chart consisting of three main activities: research object analysis, semantic textual similarity, and validity and reliability testing. In this research, an extraction process for the Requirement Specification has been produced, divided into five documents: FR01, FR02, FR03, FR04, FR05. Then the steps performed in the use case description are divided into UD01, UD02, UD03, UD04, UD05. The highest similarity value is found in documents UD03 and FR03, where the number of similarities is 0.626640. In addition, the highest score of the sentence that has been calculated using the Wu Palmer concept is 0.8000, which is found in the words “page” and “user”. The highest kappa value with Gwet's AC1 formula is 0.02547770700636931, which means “Fair Agreement”. For the results of the calculation of the questionnaire filled in by the expert, namely 0.82022, which means “Almost Perfect”.","PeriodicalId":409264,"journal":{"name":"2022 IEEE World AI IoT Congress (AIIoT)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128684175","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: 5

Man-in-the-Middle attack Explainer for Fog computing using Soft Actor Critic Q-Learning Approach 使用软Actor评论家q -学习方法的中间人攻击雾计算解释器

2022 IEEE World AI IoT Congress (AIIoT) Pub Date : 2022-06-06 DOI: 10.1109/aiiot54504.2022.9817151

Bhargavi Krishnamurthy, S. Shiva

{"title":"Man-in-the-Middle attack Explainer for Fog computing using Soft Actor Critic Q-Learning Approach","authors":"Bhargavi Krishnamurthy, S. Shiva","doi":"10.1109/aiiot54504.2022.9817151","DOIUrl":"https://doi.org/10.1109/aiiot54504.2022.9817151","url":null,"abstract":"Because of exponential growth in the availability of large number of Internet of Things (IoT) devices there is an increase in the latency of IoT applications that is managed by performing computation on edge devices/fog nodes. Man-in-the-Middle (MitM) attack is very much common in fog computing as the Fog computing architecture is vulnerable to MitM attack because of the positioning of fog nodes between cloud and end devices. Several machine learning approaches are designed and developed in literature for detection of MitM attacks in fog computing but they lack interpretability/explainability feature. In this paper a novel interpretable Q-learning algorithm with soft actor critic approach is designed for detecting MitM attacks in Fog computing with proper reasoning. Entropy regularized reinforcement learning is performed at each time step which prevents the loss during of every Q-function during approximation of the target. The attack detection policies formulated are of high quality as it satisfies the quality assurance metrics of robustness and correctness the conduct of the proposed interpretable Q-learning framework is encouraging towards the metrics like latency, attack detection time, energy consumption, and accuracy.","PeriodicalId":409264,"journal":{"name":"2022 IEEE World AI IoT Congress (AIIoT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121773415","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: 2

A Taxonomy of Privacy, Trust, and Security Breach Incidents of Internet-of-Things Linked to F(M).A.A.N.G. Corporations 与F(M)相关的物联网隐私、信任和安全泄露事件分类。公司

2022 IEEE World AI IoT Congress (AIIoT) Pub Date : 2022-06-06 DOI: 10.1109/aiiot54504.2022.9817225

Joseph Squillace, May Bantan

{"title":"A Taxonomy of Privacy, Trust, and Security Breach Incidents of Internet-of-Things Linked to F(M).A.A.N.G. Corporations","authors":"Joseph Squillace, May Bantan","doi":"10.1109/aiiot54504.2022.9817225","DOIUrl":"https://doi.org/10.1109/aiiot54504.2022.9817225","url":null,"abstract":"Advancements in technology have brought with it widespread use and utilization of the lnternet-of-Things (IoT); a catch-all moniker identifying the collection of eclectic hardware and software mediums connecting people with small electronic computing and monitoring devices, such as SMART products: television, thermostat, speaker, refrigerator, etc. As personal IoT adaptation has grown in parallel with IoT home integration, so too have IoT concerns related to Privacy, Trust, and the Security risks associated with individual end-user protection, especially from IoT devices linked to Facebook (Meta) (F), Apple (A), Amazon (A), Netflix (N), and Google (G); conversationally identifiable as F(M).A.A.N.G. corporations. As a result, the list of IoT threats, security weaknesses, and vulnerabilities has grown exponentially. Nefarious actors have taken advantage of this growing technology, reaching into homes and offices far beyond established limits set by end-users. This research will use a multiple case study approach to analyze IoT security breach events to identify current Privacy, Trust, and Security risks to end-users associated with IoT devices. Furthermore, this research will also utilize security behavioral research by Anderson and Agarwal to introduce a Safe Computing Practices Model (SCPM) that can be implemented by end-users when integrating IoT devices.","PeriodicalId":409264,"journal":{"name":"2022 IEEE World AI IoT Congress (AIIoT)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130334992","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

A Study on Brute Force Attack on T-Mobile Leading to SIM-Hijacking and Identity-Theft 蛮力攻击T-Mobile导致sim卡劫持和身份盗窃的研究

2022 IEEE World AI IoT Congress (AIIoT) Pub Date : 2022-06-06 DOI: 10.1109/aiiot54504.2022.9817175

Christopher Faircloth, Gavin Hartzell, Nathan Callahan, S. Bhunia

引用次数: 3

Comparison of Task Performance and User Satisfaction Between Holographic and Standard QWERTY Keyboard 全息和标准QWERTY键盘的任务性能和用户满意度比较

2022 IEEE World AI IoT Congress (AIIoT) Pub Date : 2022-06-06 DOI: 10.1109/aiiot54504.2022.9817288

Talha Hassan, Tauheed Khan Mohd

{"title":"Comparison of Task Performance and User Satisfaction Between Holographic and Standard QWERTY Keyboard","authors":"Talha Hassan, Tauheed Khan Mohd","doi":"10.1109/aiiot54504.2022.9817288","DOIUrl":"https://doi.org/10.1109/aiiot54504.2022.9817288","url":null,"abstract":"Advancements in Internet of things (IoT) and sensor technologies along with deep learning techniques have enabled the design of several types of virtual keyboards including holographic keyboards. However, there is a need to better understand how its performance compares against the standard QWERTY keyboard in order to identify specific aspects of performance that are better as well as others than need to be further optimized. We conducted an initial two-part study. The first part was a controlled experimental study with 12 participants to see how a holographic keyboard compares with a QWERTY keyboard as a text entry tool on various metrics including task success, speed, and user satisfaction. The second part consisted of a short semi-structured interview with the participants, specifically based on the observations made by the researchers during the first part. Our initial findings indicate that although there is a speed advantage when users initially use standard QWERTY keyboard, there is a learning effect on speed with holographic keyboard and participants improve over time. Participants also indicated they would learn the holographic Keyboard quickly on a system usability sub-scale. This is still a work in progress and we aim to improve the design of the holographic keyboard based on the feedback from participants, and conduct a final summative evaluation.","PeriodicalId":409264,"journal":{"name":"2022 IEEE World AI IoT Congress (AIIoT)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127900765","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

An Auditing Framework for Analyzing Fairness of Spatial-Temporal Federated Learning Applications 时空联邦学习应用公平性分析的审计框架

2022 IEEE World AI IoT Congress (AIIoT) Pub Date : 2022-06-06 DOI: 10.1109/aiiot54504.2022.9817283

A. Mashhadi, Ali Tabaraei, Yuting Zhan, R. Parizi

引用次数: 1

A Review on Suicidal Ideation Detection Based on Machine Learning and Deep Learning Techniques 基于机器学习和深度学习技术的自杀意念检测研究进展

2022 IEEE World AI IoT Congress (AIIoT) Pub Date : 2022-06-06 DOI: 10.1109/aiiot54504.2022.9817373

Tanya Bhardwaj, Paridhi Gupta, Akshita Goyal, Akanksha Nagpal, Vivekanand Jha

引用次数: 0