2021 IEEE 18th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET)最新文献_第3页

R-IDPS: Real time SDN based IDPS system for IoT security R-IDPS:基于SDN的物联网安全实时IDPS系统

2021 IEEE 18th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET) Pub Date : 2021-10-11 DOI: 10.1109/HONET53078.2021.9615449

Noman Mazhar, R. Salleh, M. Zeeshan, M. M. Hameed, Nauman Khan

{"title":"R-IDPS: Real time SDN based IDPS system for IoT security","authors":"Noman Mazhar, R. Salleh, M. Zeeshan, M. M. Hameed, Nauman Khan","doi":"10.1109/HONET53078.2021.9615449","DOIUrl":"https://doi.org/10.1109/HONET53078.2021.9615449","url":null,"abstract":"Internet of things increases the automation pace of the world but at the same time, IoT poses many security challenges for the industry. Intrusion detection and prevention systems have dominated the market for security in conventional networks. The challenge to IDPS is huge resource utilization and imparting performance penalties. Also, real-time training of detection machine learning models has been an issue. In this research, we develop an agent-based IDPS system using software-defined networking (SDN) technology at its core. The system develops a baseline profile for the IoT network by analyzing data from all the devices under normal conditions. Based on this profile, we extract the network traffic features. Using these features, we construct our dataset for anomaly detection in the network. For detection, we use a support vector machine to detect ICMP flood and TCP SYN flood attacks. The R-IDPS machine learning model is capable of real-time training. The proposed model (R-IDPS) is fully capable of mitigating attacks using SDN technology. The main objective of the research is to analyze the accuracy of the proposed SDN-based intrusion detection system especially under the stress conditions of DDoS attacks. Simulation results show 97 % to 99 % of attack detection accuracy with no false positives. The R-IDPS is scalable for both large and heterogeneous IoT networks.","PeriodicalId":177268,"journal":{"name":"2021 IEEE 18th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126238328","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: 4

Recognition of Train Driver's Attention Using Haar Cascade 基于Haar级联的列车驾驶员注意力识别

2021 IEEE 18th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET) Pub Date : 2021-10-11 DOI: 10.1109/HONET53078.2021.9615452

G. H. Palli, A. Shah, B. S. Chowdhry, T. Hussain, Uhaid ur Rehman, G. F. Mirza

{"title":"Recognition of Train Driver's Attention Using Haar Cascade","authors":"G. H. Palli, A. Shah, B. S. Chowdhry, T. Hussain, Uhaid ur Rehman, G. F. Mirza","doi":"10.1109/HONET53078.2021.9615452","DOIUrl":"https://doi.org/10.1109/HONET53078.2021.9615452","url":null,"abstract":"Driving a train is a very responsible task as it involves the safety and security of the train passengers. Though, railway department assures the presence of two drivers in the main cockpit of a train, but any human error could result in catastrophic fatalities. In order to ensure the attention of a rail driver, an indigenous solution is developed using a Raspberry Pi 3 B+, a webcam and Open CV libraries for the detection of driver's attentiveness. The algorithm works on the basics of Haar Cascade Classifier for capturing the eyes movement, which performs its operation using the binary classifier. Therefore, if the eyelids are close (i.e., the statement of the binary classifier is true) for more than 15 seconds, an alert will be sent to the railway control room regarding the driver's drowsiness, resulting the mitigation of disastrous outcome by ensuring the necessarily and timely measures. To validate the instrumentation, it was compared with Haar classifier along with a survey of the train drivers regarding the effectiveness of the developed prototype. From that survey, 70% of the drivers were satisfied with the effectiveness of the developed rail driver attention detection system.","PeriodicalId":177268,"journal":{"name":"2021 IEEE 18th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130588223","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

Designing decentralized adaptive fuzzy stabilizer in nonlinear multi-machine power system with unknown dynamic 未知动态非线性多机电力系统的分散自适应模糊稳定器设计

2021 IEEE 18th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET) Pub Date : 2021-10-11 DOI: 10.1109/HONET53078.2021.9615456

Ehsan Salajegheh, Reza Minaee Roudsari, Hossein Mirzanejad

{"title":"Designing decentralized adaptive fuzzy stabilizer in nonlinear multi-machine power system with unknown dynamic","authors":"Ehsan Salajegheh, Reza Minaee Roudsari, Hossein Mirzanejad","doi":"10.1109/HONET53078.2021.9615456","DOIUrl":"https://doi.org/10.1109/HONET53078.2021.9615456","url":null,"abstract":"This paper presents a decentralized adaptive fuzzy controller for power system stabilizer (PSS) design to damping low-frequency oscillations of nonlinear multi-machine power systems with unknown dynamics. In the proposed method, the fuzzy system is an unknown dynamic estimator of the used power system. Also, to solve the singularity issue of the controller, the estimated gain matrix is separated into a multiplication of a diagonal matrix two orthogonal matrices. Additionally, to compensate for large errors, we have used a control resistor term. Adaptive rules parameters and terms related to the robust control part are obtained using Lyapunov stability analysis. The proposed method ensures that all signals from closed-loop are bounded and uniform. To show the capabilities and abilities of the proposed method, numerical studies on the nonlinear 6-bus system are provided. Also, to show the robustness of the designed stabilizer, we have applied the type of three-phase and one-phase error to the system. Results from the simulation show the capability and ability of the designed stabilizer.","PeriodicalId":177268,"journal":{"name":"2021 IEEE 18th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134227538","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

Future prospects and challenges associated with intelligent reflecting surfaces enabled wireless communication 智能反射面无线通信的未来前景和挑战

2021 IEEE 18th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET) Pub Date : 2021-10-11 DOI: 10.1109/HONET53078.2021.9615389

Aisha Danish, Sundus Ali, M. Aslam, Irfan Uddin Ahmed

引用次数: 1

Design of a Control Architecture for an Autonomous All-Terrain Vehicle 自主全地形车辆控制体系设计

2021 IEEE 18th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET) Pub Date : 2021-10-11 DOI: 10.1109/HONET53078.2021.9615388

Karim H. Erian, Joseph M. Phillips, J. Conrad

{"title":"Design of a Control Architecture for an Autonomous All-Terrain Vehicle","authors":"Karim H. Erian, Joseph M. Phillips, J. Conrad","doi":"10.1109/HONET53078.2021.9615388","DOIUrl":"https://doi.org/10.1109/HONET53078.2021.9615388","url":null,"abstract":"As a part of a larger research project to control an All-terrain Vehicle (ATV) using Machine Learning techniques, this paper discusses the implementation of a base architecture for a Honda Rancher ATV to control the vehicle using digital signals and CAN bus messages. Previous research implemented a CAN network that connects a central processing unit to a throttle controller, a steering module, and a braking system. The previous research successfully accomplished controlling the ATV to move in a Figure-8 pattern backward, but it faced a problem in maintaining a constant speed on different inclined ramps and to make sharp turns going forward. This paper discusses the solutions to control the speed and the handlebar angle. The research includes a closed loop control system to control the ATV speed by getting current speed feedback from the ATV engine velocity sensor. The paper discusses different methodologies to determine the speed including an encoder and Global Positioning System. This paper also describes the problem with the caster angle in the previous studies with respect to the steering angle control. A new design was implemented with an additional servo motor using pulleys and aluminum wire to steer the handlebar as an average human would steer it. Testing demonstrated stable control of the ATV in different environments with the full range motion control of the handlebar.","PeriodicalId":177268,"journal":{"name":"2021 IEEE 18th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET)","volume":"231 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121309821","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

Transmissivity Assessment of a Sandwiched MDM Plasmonic Waveguide between two Dielectric Waveguides 两个介质波导之间夹装MDM等离子体波导的透射率评估

2021 IEEE 18th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET) Pub Date : 2021-10-11 DOI: 10.1109/HONET53078.2021.9615401

R. Wahsheh

{"title":"Transmissivity Assessment of a Sandwiched MDM Plasmonic Waveguide between two Dielectric Waveguides","authors":"R. Wahsheh","doi":"10.1109/HONET53078.2021.9615401","DOIUrl":"https://doi.org/10.1109/HONET53078.2021.9615401","url":null,"abstract":"Integrating both dielectric and plasmonic waveguides on the same chip is needed for the future of the integration of nanoplasmonic circuits. Different coupling methods have been proposed between those two types of waveguides without taking into consideration the effect of sandwiching the metal-dielectric-metal (MDM) plasmonic waveguide between the two conventional dielectric waveguides (CDWs). In this research work, using the finite-difference-time-domain method, we numerically analyze the effect of increasing the length of the sandwiched MDM plasmonic waveguide on the extracted light into the output CDW. We found that embedding the MDM plasmonic waveguide between two CDWs causes a reduction in the width of the spectrum response due to the FP cavity-like response compared to that without sandwiching the MDM plasmonic waveguide. We also investigated the effect of changing various parameters of the design dimensions on the spectrum response of our proposed design. Our results indicate potential applications of the proposed design in the integration of ultra-compact nanoplasmonic circuits.","PeriodicalId":177268,"journal":{"name":"2021 IEEE 18th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124918231","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

Intrusion Detection and Mitigation Framework for SDN Controlled IoTs Network SDN控制物联网网络入侵检测与缓解框架

2021 IEEE 18th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET) Pub Date : 2021-10-11 DOI: 10.1109/HONET53078.2021.9615458

Amer Zaheer, M. Asghar, A. Qayyum

引用次数: 1

Distributed Evidential EM Algorithm for Classification in Networks with Data with Uncertainty 数据不确定网络分类的分布式证据EM算法

2021 IEEE 18th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET) Pub Date : 2021-10-11 DOI: 10.1109/HONET53078.2021.9615455

Liu Fang, Kornel Medvenko, Roberto Fox

引用次数: 0