2022 IEEE World AI IoT Congress (AIIoT)最新文献_第2页

Towards A Lightweight Identity Management and Secure Authentication for IoT Using Blockchain 使用区块链实现物联网的轻量级身份管理和安全认证

2022 IEEE World AI IoT Congress (AIIoT) Pub Date : 2022-06-06 DOI: 10.1109/aiiot54504.2022.9817349

Shereen S. Ismail, Diana W. Dawoud, H. Reza

{"title":"Towards A Lightweight Identity Management and Secure Authentication for IoT Using Blockchain","authors":"Shereen S. Ismail, Diana W. Dawoud, H. Reza","doi":"10.1109/aiiot54504.2022.9817349","DOIUrl":"https://doi.org/10.1109/aiiot54504.2022.9817349","url":null,"abstract":"Handling nodes identities and authentication is one of the current critical security challenges in an Internet of Things (IoT) environment, which consists of numerous devices with limited computation, communication, storage, and power capabilities. Motivated by the need to maintain trustworthiness in IoT networks to secure node-to-node or user-to-node communication, a blockchain-based identity management and secure authentication mechanism for a Wireless Sensor Network (WSN) scenario is proposed in this paper. The considered WSN is assumed to have three types of nodes: base station, cluster heads, and monitor nodes. The WSN is connected through the base station to the IoT cloud. The proposed system employs a private blockchain for internal authentication of cluster heads and monitor nodes, while a public blockchain is deployed between the base station and the IoT cloud to authenticate communication across different WSNs and end-users. Furthermore, a machine learning-based detection module is utilized to mitigate possible denial-of-service (DoS) attacks that may target cluster head nodes, raising the registration and authentication costs for monitor nodes within its vicinity and amplifying other blockchain attacks.","PeriodicalId":409264,"journal":{"name":"2022 IEEE World AI IoT Congress (AIIoT)","volume":"23 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":"114406940","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

Comparative Study of Sha-256 Optimization Techniques Sha-256优化技术的比较研究

2022 IEEE World AI IoT Congress (AIIoT) Pub Date : 2022-06-06 DOI: 10.1109/aiiot54504.2022.9817185

Bharat S. Rawal, Lingampally Shiva Kumar, Sriram Maganti, Varun Godha

引用次数: 1

Clustering and Classification Models For Student's Grit Detection in E-Learning 网络学习中学生粗粒检测的聚类与分类模型

2022 IEEE World AI IoT Congress (AIIoT) Pub Date : 2022-06-06 DOI: 10.1109/aiiot54504.2022.9817177

R. R. Maaliw, K. Quing, Julie Ann B. Susa, Jed Frank S. Maraueses, A. Lagman, Rossana Adao, Ma.Corazon Fernando Raguro, Ranie B. Canlas

引用次数: 8

Salted Egg Cleaning and Grading System Using Machine Vision 基于机器视觉的咸蛋清洗分级系统

2022 IEEE World AI IoT Congress (AIIoT) Pub Date : 2022-06-06 DOI: 10.1109/aiiot54504.2022.9817366

Laily Mariz A. Bengua, Vanessa Jane D. De Guzman, Danica Mae S. Macunat, Efren D. Villaverde, Aubee T. Mahusay, R. R. Maaliw, A. Lagman, A. Alon

{"title":"Salted Egg Cleaning and Grading System Using Machine Vision","authors":"Laily Mariz A. Bengua, Vanessa Jane D. De Guzman, Danica Mae S. Macunat, Efren D. Villaverde, Aubee T. Mahusay, R. R. Maaliw, A. Lagman, A. Alon","doi":"10.1109/aiiot54504.2022.9817366","DOIUrl":"https://doi.org/10.1109/aiiot54504.2022.9817366","url":null,"abstract":"The electro-mechanical salted egg grading system was developed to support producers by streamlining the cleaning process, delivering a sorted outcome, saving time, decrease human resources needs, labor costs, and minimized egg breakage, consequently boosting production efficiency. OpenCV (Open Source Computer Vision Library) was employed as a development platform and the Raspberry Pi 3 Model B as a microcomputer due to its speedier and more powerful CPU, which is required to operate the system's components and process the acquired images for classification. In addition, a Raspberry Pi camera module V2 was employed to capture the images for scanning, LED bulb for candling, and an SG90 micro servo for sorting. Furthermore, we used B66 and B35 V-belts for the conveyor assembly. An induction motor of 0.125 horse power is used to rotate the conveyor assembly, a chain, and sprocket to reduce its speed. The researchers also used soft bristles brushes which are ideal for cleaning the eggshell. For cleansing, sprinklers were used along with the water PVC pipe that holds pressurized water of 30 psi. The camera's captured images are categorized as clean, dirty, well-pickled, and spoilt eggs. Empirical results exhibited that the detection accuracy achieved 96% and 93% for cleanliness and quality, respectively. It establishes the model and prototype's robustness in cleaning, sorting, and grading salted eggs.","PeriodicalId":409264,"journal":{"name":"2022 IEEE World AI IoT Congress (AIIoT)","volume":"2 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":"124040105","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

ADMSV - A Differential Machine Learning based Steering Controller for Smart Vehicles 基于差分机器学习的智能车辆转向控制器ADMSV

2022 IEEE World AI IoT Congress (AIIoT) Pub Date : 2022-06-06 DOI: 10.1109/aiiot54504.2022.9817270

B. Abegaz

引用次数: 0

Machine Learning-based System for Monitoring Social Distancing and Mask Wearing 基于机器学习的社交距离和口罩佩戴监测系统

2022 IEEE World AI IoT Congress (AIIoT) Pub Date : 2022-06-06 DOI: 10.1109/aiiot54504.2022.9817273

Mohammed Faisal Naji, C. Joumaa, Yousef Alswailem, Abdulrahman Alobthni, Rayan Albusilan

引用次数: 0

A Survey of Intrusion Detection and Prevention Systems 入侵检测与防御系统综述

2022 IEEE World AI IoT Congress (AIIoT) Pub Date : 2022-06-06 DOI: 10.1109/aiiot54504.2022.9817348

Tristan Erney, M. Chowdhury

引用次数: 1

Major threats to the continued adoption of Artificial Intelligence in today's hyperconnected world 在当今高度互联的世界中，人工智能继续采用的主要威胁

2022 IEEE World AI IoT Congress (AIIoT) Pub Date : 2022-06-06 DOI: 10.1109/aiiot54504.2022.9817247

Opeoluwa Tosin Eluwole, Segun Akande, O. Adegbola

{"title":"Major threats to the continued adoption of Artificial Intelligence in today's hyperconnected world","authors":"Opeoluwa Tosin Eluwole, Segun Akande, O. Adegbola","doi":"10.1109/aiiot54504.2022.9817247","DOIUrl":"https://doi.org/10.1109/aiiot54504.2022.9817247","url":null,"abstract":"From the golden era of science fiction which dates to the late 1930s, scientific and technological advances in artificial intelligence (AI), along with one of its key subsets, machine learning (ML) have been growing significantly, especially in recent years. In 2021 alone, notable feats included an AI program capable of creating images from seen or previously unseen textual captions, an AI model that effectively integrates computer vision and natural language processing, and a novel AI framework for diagnosing dementia in 24 hours with real-world feasibility underway amongst a host of other fascinating breakthroughs. This paper briefly delves into AI/ML and recaps some key essentials, covering AI and ML subfields, ML methods, industries where AI/ML finds relevance, key stages and the common technical challenges in ML development. Importantly, the paper shifts attention from the latter to underscore the duo of transparency and ethics in AI, highlighting specifically what these are and why they are important, subsequently positing a PESTEL (Political, Economic, Social, Technological, Environmental and Legal) framework for AI design, build and implementation. It is anticipated that the upshot of this would be the facilitation of continuous adoption and long-term sustainability of AI/ML.","PeriodicalId":409264,"journal":{"name":"2022 IEEE World AI IoT Congress (AIIoT)","volume":"75 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":"132657086","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

Toward Detecting Cyberattacks Targeting Modern Power Grids: A Deep Learning Framework 探测针对现代电网的网络攻击:一个深度学习框架

2022 IEEE World AI IoT Congress (AIIoT) Pub Date : 2022-06-06 DOI: 10.1109/aiiot54504.2022.9817309

E. Naderi, A. Asrari

{"title":"Toward Detecting Cyberattacks Targeting Modern Power Grids: A Deep Learning Framework","authors":"E. Naderi, A. Asrari","doi":"10.1109/aiiot54504.2022.9817309","DOIUrl":"https://doi.org/10.1109/aiiot54504.2022.9817309","url":null,"abstract":"Modern power and energy networks include a plethora of distributed control and monitoring equipment, exchanging data through information and communication technology (ICT). Hence, such networks are a combination of physical layers and cyber layers, classified as cyber-physical systems. Although smart power grids facilitate the task of automated system operation with less involvement of people in making decisions, they can be negatively affected by cyber threats targeting security systems. Among different types of cyberattacks, false data injection (FDI) attacks are more common since they are easier to be performed. Toward this end, this paper develops a deep learning framework to protect cyber-physical power systems against cyberattacks including but not limited to FDI attacks in both forms of false positive and false negative. The proposed detection mechanism takes advantage of long short-term memory (LSTM) and deep recurrent neural network (RNN) concurrently. Moreover, the developed hybrid detection framework is able to recognize potentially malicious activities occurring in the cyber layer of a typical power grid. To demonstrate the robust performance of the proposed approach in detecting different types of cyberattacks, it is applied on 1) the CIC-IDS2017 dataset to detect denial of service (DoS) and distributed DoS (DDoS) attacks and 2) a smart power grid in the transmission level to protect the system against FDI attacks. The obtained results confirm the effectiveness of the proposed artificial intelligence-based detection framework (e.g., detection rate of 99.46%) against different types of cyberattacks targeting modern power networks.","PeriodicalId":409264,"journal":{"name":"2022 IEEE World AI IoT Congress (AIIoT)","volume":"61 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":"134634971","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: 10

Simulating the Behaviour and Displacement of Women in Water-Stressed Areas 模拟缺水地区妇女的行为和流离失所

2022 IEEE World AI IoT Congress (AIIoT) Pub Date : 2022-06-06 DOI: 10.1109/aiiot54504.2022.9817353

Aakib Bin Nesar, Tahseena Mahmud, Fahreen Hossain

{"title":"Simulating the Behaviour and Displacement of Women in Water-Stressed Areas","authors":"Aakib Bin Nesar, Tahseena Mahmud, Fahreen Hossain","doi":"10.1109/aiiot54504.2022.9817353","DOIUrl":"https://doi.org/10.1109/aiiot54504.2022.9817353","url":null,"abstract":"Access to sufficient water is a human right and part of human survival, health, well being and livelihoods for consumption and domestic use. However, the gendered culture of water access, use and livelihoods have remained silent in the world of water management. With this perspective, the work conducted by the Institute of Disaster Management and Vulnerability Studies (IDMVS), University of Dhaka, in collaboration with REACH project explored how gender dimensions form a nexus between water collection challenges, spatial differences and gender division of labour comparing data from water-secure and water insecure communities (mouzas) in coastal Bangladesh. In this work, our objective was to model and simulate the behaviour of women towards water accumulation for household purposes, who are residing in regions with inadequate water conservation and distribution systems. Our simulation takes into account water risks that may affect the system such as river erosion and salinity intrusion, leading to a higher level of water stress. We have conducted this work as an extension of the project already being carried by REACH, but in terms of modeling and simulation to visualize and discuss empirical results found from our work.","PeriodicalId":409264,"journal":{"name":"2022 IEEE World AI IoT Congress (AIIoT)","volume":"35 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":"115082896","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