2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)最新文献_第3页

Efficient Feature Selection for Intrusion Detection Systems 入侵检测系统的高效特征选择

2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) Pub Date : 2019-10-01 DOI: 10.1109/UEMCON47517.2019.8992960

S. Ahmadi, S. Rashad, H. Elgazzar

引用次数: 7

Mitigating Implanted Medical Device Cybersecurity Risks 降低植入式医疗设备的网络安全风险

2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) Pub Date : 2019-10-01 DOI: 10.1109/UEMCON47517.2019.8992922

Chuck Easttom, Nagi Mei

引用次数: 9

Tracking the Mobile Jammer in Wireless Sensor Networks Using Extended Kalman Filter 利用扩展卡尔曼滤波跟踪无线传感器网络中的移动干扰机

2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) Pub Date : 2019-10-01 DOI: 10.1109/UEMCON47517.2019.8993050

Waleed Aldosari, M. Zohdy, Richard Olawoyin

{"title":"Tracking the Mobile Jammer in Wireless Sensor Networks Using Extended Kalman Filter","authors":"Waleed Aldosari, M. Zohdy, Richard Olawoyin","doi":"10.1109/UEMCON47517.2019.8993050","DOIUrl":"https://doi.org/10.1109/UEMCON47517.2019.8993050","url":null,"abstract":"Wireless Sensor Networks (WSNs) are susceptible to jamming attacks due to the shared wireless medium. The jammer can disrupt any specific or entire radio frequency based on its function and strategies. Locating the jammer location is very important against the jamming in the wireless network and restore the communication channel. To support the existing anti-jamming techniques, we proposed an algorithm based on the Extended Kalman filter (EKF) and power received to track the jammer. Detecting jammer location is the first step taking to defend such attacks. Besides, estimating jammer location supports a wide range of defense. Range-based jammer localization technique based on the received power is used in this work to detect the external malicious node location by designed the position, velocity, and acceleration approach of Extended Kalman filter. An extensive simulation conducted to evaluate the performance of EKF compares to the Virtual Force Iteration Localization (VFIL), Weighted Centroid Localization (WCL), and Centroid Localization algorithms (CL). The EKF proves to be of high efficiency in comparison to VFIL, WCL, and CL.","PeriodicalId":187022,"journal":{"name":"2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126625076","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

SPEED CONTROLLING & TRAFFIC MANAGEMENT SYSTEM (SCTMS) 速度控制及交通管理系统

2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) Pub Date : 2019-10-01 DOI: 10.1109/UEMCON47517.2019.8993092

Aneesh Kar, Soujanya Syamal, Suvraneel Chatterjee, Antarika Basu, Himadri Nath Saha, Srijata Choudhuri

{"title":"SPEED CONTROLLING & TRAFFIC MANAGEMENT SYSTEM (SCTMS)","authors":"Aneesh Kar, Soujanya Syamal, Suvraneel Chatterjee, Antarika Basu, Himadri Nath Saha, Srijata Choudhuri","doi":"10.1109/UEMCON47517.2019.8993092","DOIUrl":"https://doi.org/10.1109/UEMCON47517.2019.8993092","url":null,"abstract":"This paper is based on Electronic Vehicle System, like any other electric vehicle, with certain additional, new features which will take electronic vehicles to a whole new level. Speed management, thereby contributing to traffic management has always been a very big challenge to us. The safety and the smooth flow of traffic is very much essential. To overcome these huddles, it is necessary to device a smart vehicle system, which will be responsible to regulate the speed of the vehicle and manage the traffic. Firstly, to control the speed, we need to device a three condition layer, which is based on Data Analytics, Machine Learning, Deep Learning and IOT. This three-layered System will get the maximum speed of the car, beyond which the driver will be unable to drive. Obtaining the maximum speed limit will depend on factors like the prescribed maximum speed limit of the particular road, the car is running on, the present traffic density of the road and the traffic situation as per the nearby traffic pole, the position of the other cars with respect to the concerned car. All these major factors will attribute to obtaining a safe maximum speed limit, as the three-layered system will work simultaneously, enabling the driver to drive safely within this limit. Since speed management can be reached, this will attribute to the management of the traffic. The knowledge of IOT is necessary, which will connect the car and the nearby traffic pole. Once they are connected, the car will receive signals and updates, regarding the traffic situation and based on the color of the signal the car will adjust it's speed or stop, accordingly. These are the major aspects of this proposed new vehicle system. Thus, the System can prove to be very much beneficial.","PeriodicalId":187022,"journal":{"name":"2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121537530","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

A Hive and SQL Case Study in Cloud Data Analytics Hive和SQL在云数据分析中的案例研究

2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) Pub Date : 2019-10-01 DOI: 10.1109/UEMCON47517.2019.8992925

Shireesha Chandra, A. Varde, Jiayin Wang

{"title":"A Hive and SQL Case Study in Cloud Data Analytics","authors":"Shireesha Chandra, A. Varde, Jiayin Wang","doi":"10.1109/UEMCON47517.2019.8992925","DOIUrl":"https://doi.org/10.1109/UEMCON47517.2019.8992925","url":null,"abstract":"The digital universe is expanding at a very fast pace generating massive datasets. In order to keep up with the processing and storage needs for this big data, and to discover knowledge, we need scalable infrastructure and technologies that can access data from multiple disks simultaneously. Cloud computing provides paradigms for data analytics over such huge datasets. While SQL continues to be popular among database and data mining professionals, in recent years Hive has established itself as a rapidly advancing technology for big data which makes it highly suitable for use over the cloud. In this paper, we present investigatory research on Hive and SQL with a detailed case study between them, considering cloud data management and mining. Our work here constitutes a thorough scrutiny, focusing on processing Hive queries on cloud infrastructure considering three different approaches, and also delving into SQL processing on the cloud with similar approaches. Real datasets are used for conducting various operations using Hive and SQL. This paper conducts performance comparisons of the two technologies and explains the environment in which one is preferred over the other for processing and analyzing data. It provides recommendations for cloud data analytics, based on the case study.","PeriodicalId":187022,"journal":{"name":"2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116202973","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

Scavenging Residual Energy from Wi-Fi Sources Using a Rectenna Circuit 利用整流天线电路清除Wi-Fi源的剩余能量

2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) Pub Date : 2019-10-01 DOI: 10.1109/UEMCON47517.2019.8993094

R. Parekh, Kushal Jain, David Luu, K. George

{"title":"Scavenging Residual Energy from Wi-Fi Sources Using a Rectenna Circuit","authors":"R. Parekh, Kushal Jain, David Luu, K. George","doi":"10.1109/UEMCON47517.2019.8993094","DOIUrl":"https://doi.org/10.1109/UEMCON47517.2019.8993094","url":null,"abstract":"With the increasing popularity of wireless devices, the need to develop ways to charge, or to expand the battery life, also increases. This paper proposes a hybrid rectification circuit for collecting energy from nearby Wi-Fi networks. The circuit scavenges the energy emitted, but not used, by routers when they send information through the air, and stores the energy within a capacitor. The proposed architecture consists of two main building blocks: a bridgeless converter, and a diode bridge. The incident power on the antenna of the harvester is passed through the network of the LC lumped circuit, which helps in rectifying and boosting the voltage level. The second building block takes the output of the first block and further rectifies it, helping to further enhance voltage. The proposed system has been tested by using two distinct capacitive loads: 0.47 uF and 1000 uF. It was found that in the case of 1000 uF, the capacitor was able to charge 2.47 V within a span of 16.5 hours when kept directly next to the transmitting source antenna. In the case of 0.47 uF, it was able to charge within a span of 12 hours when kept 10 feet away from the transmitting source. The energy stored was used to light an LED, which was successful in the proximity circuit, albeit briefly.","PeriodicalId":187022,"journal":{"name":"2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125247112","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 Misbehavior Authority System for Sybil Attack Detection in C-ITS C-ITS中Sybil攻击检测的不当行为授权系统

2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) Pub Date : 2019-10-01 DOI: 10.1109/UEMCON47517.2019.8993045

Joseph Kamel, Farah Haidar, I. B. Jemaa, Arnaud Kaiser, B. Lonc, P. Urien

引用次数: 23

Comparison of Machine Learning Models to Predict Twitter Buzz 预测Twitter Buzz的机器学习模型比较

2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) Pub Date : 2019-10-01 DOI: 10.1109/UEMCON47517.2019.8993082

Yash Parikh, Eman Abdelfattah

引用次数: 0

Overhead View Person Detection Using YOLO 俯视图人员检测使用YOLO

2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) Pub Date : 2019-10-01 DOI: 10.1109/UEMCON47517.2019.8992980

Misbah Ahmad, Imran Ahmed, A. Adnan

引用次数: 19

Multi-sensor Wearable for Child Safety 儿童安全多传感器可穿戴设备

2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) Pub Date : 2019-10-01 DOI: 10.1109/UEMCON47517.2019.8992950

Ushashi Chowdhury, Pranjal Chowdhury, Sourav Paul, Anwesha Sen, Partho Protim Sarkar, S. Basak, Abari Bhattacharya

引用次数: 4