Shahzeb Haider, Adnan Akhunzada, Ghufran Ahmed, M. Raza
{"title":"Deep Learning based Ensemble Convolutional Neural Network Solution for Distributed Denial of Service Detection in SDNs","authors":"Shahzeb Haider, Adnan Akhunzada, Ghufran Ahmed, M. Raza","doi":"10.1109/UCET.2019.8881856","DOIUrl":"https://doi.org/10.1109/UCET.2019.8881856","url":null,"abstract":"Software defined networks (SDNs) are considered to be the future of networking as it decouples the control plane from the forwarding logic and fulfils the escalating demand of faster and more proficient networks. However, emergence of SDNs also bring security challenges to its centralized architecture such as Distributed Denial of Service (DDoS) attack. Therefore, the need for a timely detection of large-scale sophisticated DDoS attack is of paramount concern for subsequent countermeasures. This paper presents a deep learning (DL) based CNN (Convolutional Neural Network) ensemble solution for efficient detection of DDoS in SDNs. The proposed framework's performance is evaluated through standard evaluation parameters with state-of-the-art Flow-based dataset (ISCX 2017). Empirical results of the proposed framework demonstrate high attack detection accuracy: 99.48% in minimum time with conducive computational complexity.","PeriodicalId":169373,"journal":{"name":"2019 UK/ China Emerging Technologies (UCET)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126908009","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}
{"title":"Human Action Recognition Using GLAC Features on Multi-view Binary Coded Images","authors":"Mohammad Farhad Bulbul, S. Galib, Hazrat Ali","doi":"10.1109/UCET.2019.8881844","DOIUrl":"https://doi.org/10.1109/UCET.2019.8881844","url":null,"abstract":"This paper presents a human action recognition framework by focusing on the auto-correlation features extracted on the binary coded motion and static information images of depth action video clips. At first, the action video clips are passed to the 3D Motion Trail Model (3DMTM) in order to generate the 2D motion and static information images. Clearly, for a depth video clip, the 3DMTM yields a set of three motion information images and a set of three static information images about the front, side and top projections of all the action video frames. Next, those images are transformed into the binary coded images by the Local Binary Pattern (LBP) operator. Finally, the Gradient Local Auto-Correlation (GLAC) algorithm is employed on those binary coded images for representing depth actions through the auto-correlation features. To classify the multiple actions with the gained features, the Extreme Learning Machine (ELM) is adopted here with the kernel trick. The introduced approach is extensively validated on the Microsoft Research Action3D (MSRAction3D) database. The experimental result demonstrates, the classification outcome of our system is better in comparison with the state-of-the-art systems.","PeriodicalId":169373,"journal":{"name":"2019 UK/ China Emerging Technologies (UCET)","volume":"127 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125772274","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}
Bushra Qayyum, Dhaii al Qahtani, Bushra Naeem, Kamran Ali, M. Raza, M. Rehman
{"title":"Awareness of Kill Switch Application Among Mobile Phone Users","authors":"Bushra Qayyum, Dhaii al Qahtani, Bushra Naeem, Kamran Ali, M. Raza, M. Rehman","doi":"10.1109/UCET.2019.8881876","DOIUrl":"https://doi.org/10.1109/UCET.2019.8881876","url":null,"abstract":"Privacy concern can be a watershed in hampering the use of Mobile applications, e-commerce, and social networks. In recent years, the privacy concerns of mobile phone users have increased and become a vital challenge in the research and development of mobile applications and devices. New laws and procedures should be established and implemented with a specific end goal to improve the privacy of mobile phone users. The aim of this research is to analyze the awareness and pros and cons of kill switch application which is a mechanism to disable a device or program with or without user consent. An online survey is conducted to analyze the awareness of kill switch application among the users of cell phones. The result shows that people are not aware of this application and its usage.","PeriodicalId":169373,"journal":{"name":"2019 UK/ China Emerging Technologies (UCET)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133954145","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}
U. Ullah, S. Koziel, I. Mabrouk, Q. Abbasi, A. Alomainy
{"title":"Single-Paint-Fed Broadband CP Antenna With Enhanced Axial Ratio","authors":"U. Ullah, S. Koziel, I. Mabrouk, Q. Abbasi, A. Alomainy","doi":"10.1109/UCET.2019.8881837","DOIUrl":"https://doi.org/10.1109/UCET.2019.8881837","url":null,"abstract":"In this paper, a compact single-point-fed circularly polarized antenna with enhanced axial ratio (AR) bandwidth is investigated. A combination of parasitic strips and modified geometry of the wide-slot is used to improve circular polarization (CP) performance of the antenna. The total footprint of the antenna is only $25times 25 text{mm}^{2}$. With the proposed technique, an impedance bandwidth $vert mathrm{S}_{11}vert leq-10$ dB of ~70-percent (4.2 GHz- 9.05 GHz), and AR bandwidth $leq 3text{dB}$ of 48-percent (5.4 GHz to 8.65 GHz) has been achieved with the average realized gain of 3.1 dBi through the CP operating band. A stable bidirectional radiation pattern with left hand CP and right hand CP in the $pm z-$ direction is observed.","PeriodicalId":169373,"journal":{"name":"2019 UK/ China Emerging Technologies (UCET)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124155145","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}
Abubakar Sharif, J. Ouyang, H. Chattha, M. Imran, Q. Abbasi
{"title":"Wearable UHF RFID Tag Antenna Design using Hilbert Fractal Structure","authors":"Abubakar Sharif, J. Ouyang, H. Chattha, M. Imran, Q. Abbasi","doi":"10.1109/UCET.2019.8881857","DOIUrl":"https://doi.org/10.1109/UCET.2019.8881857","url":null,"abstract":"A broadband ultra-high frequency (UHF) radio frequency identification tag antenna is proposed for wearable applications. The antenna consists of an elliptical matching loop and capacitive loading plates to reduce the size of the antenna. This tag was printed on a low-cost 0.5 mm paper substrate. We employ a first order Hilbert fractal structure and parallel strips to further improve impedance. The Hilbert fractal structure was etched on the capacitive loading. The proposed tag antenna offers broadband characteristics (ranging from 860 MHz to 960 MHz), when attached to the multi-layered human model. Moreover, the tag antenna can able to work with metallic objects, if one end loading plate of the antenna is attached to metal. Furthermore, the designed tag provides a read range of 5.5 m and 8.5 m, when attached to the human body and the metal plate (100×100mm2), respectively.","PeriodicalId":169373,"journal":{"name":"2019 UK/ China Emerging Technologies (UCET)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126285329","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}
{"title":"Trace-Driven Simulation for LoRaWan868 MHz Propagation in an Urban Scenario","authors":"Eugen Harinda, H. Larijani, Ryan M. Gibson","doi":"10.1109/UCET.2019.8881854","DOIUrl":"https://doi.org/10.1109/UCET.2019.8881854","url":null,"abstract":"Long-range, low-power wide area network (Lo-Ra WAN) is a very scalable solution for the Internet of Things (IoT). Performance evaluation of LoRaWAN in Urban environments is a challenging task. Theoretical modeling results have been inaccurate. In this paper, a trace-driven simulation for LoRaWAN 868 MHz propagation was performed using GPS data and their corresponding LoRaWanreceived signal level. The dataset has been extracted from 5015 datasets of LoRaWAN measurements taken from Glasgow city center. ICS-Telecom was used to simulate the real-world urban environment. Comparison of trace-simulated results and the real-world data is performed to evaluate the prediction accuracy of Deygout 94, ITU-R 525/526 and COST-Walfish Ikegami (COST-WI) propagation models. All models over-estimated LoRaWAN trace-simulated received signal strength (RSS) levels in comparison to real-world collected samples. While Deygout 94 prediction accuracy was higher with mean absolute error (MAE) at 0.83 dBm and standard deviation (SD) at 4.17 dBm, COST-WI performed poorly with MAE and SD at 2.87 dBm and 10.96 dBm respectively.","PeriodicalId":169373,"journal":{"name":"2019 UK/ China Emerging Technologies (UCET)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116882604","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}
Syed Kamran Haider, M. Jamshed, Aimin Jiang, H. Pervaiz, Q. Ni
{"title":"UAV-assisted Cluster-head Selection Mechanism for Wireless Sensor Network Applications","authors":"Syed Kamran Haider, M. Jamshed, Aimin Jiang, H. Pervaiz, Q. Ni","doi":"10.1109/UCET.2019.8881889","DOIUrl":"https://doi.org/10.1109/UCET.2019.8881889","url":null,"abstract":"The use of unmanned aerial vehicles (UAVs) is gaining popularity in many applications, i.e. data collection, surveillance, wireless sensor networks (WSNs) etc. In the WSN domain, the UAVs are used to create a more flexible data-gathering platform. This integration maximizes the lifetime of a WSN by optimizing the energy budget. In this paper, we have utilized these benefits of UAVs and have proposed an optimum cluster head (CH) selection strategy to maximize the lifetime of WSNs. The proposed method uses the average residual energy, the channel condition and the Euclidean distance of each sensor node (SN) with a UAV to nominate a group of CHs. Based on the initial analytical analysis, the proposed scheme maximizes the lifetime of a WSN by a fair amount in comparison to the state-of-the-art methods.","PeriodicalId":169373,"journal":{"name":"2019 UK/ China Emerging Technologies (UCET)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133165329","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}
Yujia Chen, Xiangpeng Liang, M. Assaad, H. Heidari
{"title":"Wearable Resistive-based Gesture-Sensing Interface Bracelet","authors":"Yujia Chen, Xiangpeng Liang, M. Assaad, H. Heidari","doi":"10.1109/UCET.2019.8881832","DOIUrl":"https://doi.org/10.1109/UCET.2019.8881832","url":null,"abstract":"This paper presents a gesture recognition system based on the pressure changes produced by wrist tendon movements for wearable devices. The data of the pressure variations are captured by means of flexible and ultrathin force resistive sensors. A learning algorithm, Support Vector Machine, helps the system to distinguish various hand gestures through developed programming on MATLAB after extracting the key features of data. In order to achieve rapid gesture recognition with a shorter computational time, higher precision and less space complexity, genetic optimization algorithm is used to find the optimal parameter c (cost factor) and g (kernel function parameters) in SVM algorithm. The SVM parameter optimization improves the classification accuracy and the performance of the classifier. Finally, developed wearable resistive-based wrist-worn gesture sensing system classifies the hand gesture with high accuracy (>70%) and the results are displayed on the GUIDE user interface.","PeriodicalId":169373,"journal":{"name":"2019 UK/ China Emerging Technologies (UCET)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134061290","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}
{"title":"Hardware Constraints in Compressive Sensing Based Antenna Array","authors":"M. A. B. Abbasi, V. Fusco","doi":"10.1109/UCET.2019.8881855","DOIUrl":"https://doi.org/10.1109/UCET.2019.8881855","url":null,"abstract":"New constraints based on practical hardware are introduced in compressive sensing (CS) based rectangular antenna array thinning technique. In a standard CS array sparsity enforcement, antenna elements are considered as ideal point sources which do not comply with the practical hardware. It also does not consider the impact of mutual coupling of neighbouring antenna elements on the impedance mismatch. In this work, we propose a combination of constraints based on physical antenna array specifications, mutual coupling and practical antenna element radiation performance in the CS based array thinning enforcement. Analytical modelling along with a design example is presented and discussed. Array performance based on full-wave electromagnetic simulations shows the reliability of the proposed approach.","PeriodicalId":169373,"journal":{"name":"2019 UK/ China Emerging Technologies (UCET)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130581566","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}
{"title":"Air Quality Monitoring using Portable Multi-Sensory Module for Neurological Disease Prevention","authors":"Yanjun Chen, R. Ghannam, H. Heidari","doi":"10.1109/UCET.2019.8881892","DOIUrl":"https://doi.org/10.1109/UCET.2019.8881892","url":null,"abstract":"Improved standards of living and economic development have resulted in increased environmental and health problems. Due to the deterioration of air quality, the haze weather phenomenon is becoming a serious issue. It has been found that there may be a potential association or causal relationship between air pollution exposure and neurological diseases. In many geographical areas, haze weather phenomenon is incorporated into fog as a severe weather warning. This paper presents the design and implementation of a portable multi-sensory system for air pollution monitoring. This system consists of a microprocessor control unit as the control core, as well as temperature, humidity, gas and dust sensors. Moreover, an acousto-optic alarm system is included, which enables real-time collection, processing, display, and functions of temperature, humidity, harmful gases and particulate matter.","PeriodicalId":169373,"journal":{"name":"2019 UK/ China Emerging Technologies (UCET)","volume":"470 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115310390","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}