2021 International Conference on Smart Applications, Communications and Networking (SmartNets)最新文献

{"title":"Reflective In-Band Full Duplex NOMA Communications for Secure 5G Networks","authors":"Rabia Khan, R. Asif","doi":"10.1109/SmartNets50376.2021.9555418","DOIUrl":"https://doi.org/10.1109/SmartNets50376.2021.9555418","url":null,"abstract":"In the context of Internet-of-Things (IoT), big Data analytic and the interconnected world, the scientific revolution is increasing the demand for an improved spectrum utilization. An efficient use of the existing spectrum is required for high data-rate transmission. There are several potential ways of solving the challenges of spectrum scarcity. In-Band Full Duplex (IBFD) and Non-Orthogonal Multiple Access (NOMA) are two techniques that can improve the spectral efficiency (SE) in a 5G and Beyond (5GB) cellular networks. This paper proposes a spectral efficient IBFD scheme, Reflective In-Band Full-Duplex (R-IBFD) algorithm for relay selection to improve security of the system with minimum interference. The interference is basically reduced by the addition of orthogonality between the transmitted and received signal in the IBFD mode. The proposed R-IBFD is evaluated with IBFD, Device-to-Device (D2D) and Artificial Noise (AN). Secrecy Outage Probability (SOP) and throughput is analysed for R-IBFD. The simulation results present the comparison between the R-IBFD and conventional decode-and-forward IBFD communication with one or more users operated as a relay.","PeriodicalId":443191,"journal":{"name":"2021 International Conference on Smart Applications, Communications and Networking (SmartNets)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116327122","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":"Industrial and Consumer Internet of Things: Cyber Security Considerations, Threat Landscape, and Countermeasure Opportunities","authors":"Stephen Ugwuanyi, J. Irvine","doi":"10.1109/SmartNets50376.2021.9555410","DOIUrl":"https://doi.org/10.1109/SmartNets50376.2021.9555410","url":null,"abstract":"The requirements of industrial, consumer or generic Internet of Things (IoT) networks are evolving due to advances in sensor and wireless networks, embedded systems, edge and cloud computing. IoT is becoming increasingly pervasive in the industrial domain, and these networks face the additional challenge of evolving network architecture towards integrating Information Technology (IT) and Operational Technology (OT) networks. This paper analyses the underpinning cybersecurity risks and attack landscape in Industrial IoT (IIoT) and suggests potential countermeasure opportunities for future hybrid IoT applications based on lessons from IIoT projects.","PeriodicalId":443191,"journal":{"name":"2021 International Conference on Smart Applications, Communications and Networking (SmartNets)","volume":"176 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123268671","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":"AMQP and beyond","authors":"Ambar Prajapati","doi":"10.1109/SmartNets50376.2021.9555419","DOIUrl":"https://doi.org/10.1109/SmartNets50376.2021.9555419","url":null,"abstract":"Diverse heterogeneous systems that process digital information are critical factors behind an industry’s success. However, their diversity calls for standard protocols to pass massive, sometimes complex data sets through them. For years now, an open middleware protocol, called the Advanced Message Queuing Protocol (AMQP), is available to manage the messaging needs of non-compatible digital systems. However, AMQP appears to be less exploited than its potential in the industry now. Hence, this study explores emboldening interest, innovation, and investment by accentuating the core principles, success stories, and numerous integration possibilities with AMQP. The study reaches the background, overview, architecture patterns, and working methodology of AMQP. It describes the successful solutions built around AMQP and suggests further integration opportunities using AMQP based messaging. The study highlights AMQP solutions in practice and potential integration strategies using AMQP. With ongoing innovation, a flood of devices and systems have become ready to integrate and feed the cloud. The ubiquitous cloud is the place for all-size businesses, provided the connectivity comes cheaper, better, and quicker. Turning their focus onto the AMQP, the organizations can position themselves for better trade and commoditize their offerings competitively.","PeriodicalId":443191,"journal":{"name":"2021 International Conference on Smart Applications, Communications and Networking (SmartNets)","volume":"92 41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128909059","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":"Node Clustering in Binary Asymmetric Stochastic Block Model with Noisy Label Attributes via SDP","authors":"Aydin Jadidi, Mostafa Rahimi Dizadji","doi":"10.1109/SmartNets50376.2021.9555421","DOIUrl":"https://doi.org/10.1109/SmartNets50376.2021.9555421","url":null,"abstract":"This paper calculates sufficient conditions for semidefinite programming (SDP) to achieve exact recovery under the binary asymmetric stochastic block model with a noisy-label attribute for each node. We show that in regimes where semidefinite programming fails and cannot achieve the exact recovery on a graph realization, the presence of a noisy label attribute for each node permits exact recovery. We also calculate necessary conditions that are tight, showing that semidefinite programming is asymptotically optimal. Finally, numerical results on synthetic data are provided, indicating that the asymptotic results of this paper can also be useful for analyzing a graph realization with a finite number of nodes.","PeriodicalId":443191,"journal":{"name":"2021 International Conference on Smart Applications, Communications and Networking (SmartNets)","volume":"177 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114854111","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":"Data-Driven Anomaly Detection Based on Multi-Sensor Data Fusion","authors":"Di Wang, Ahmad Al-Rubaie, Sandra Stincic, John Davies, A. Aljasmi","doi":"10.1109/SmartNets50376.2021.9555430","DOIUrl":"https://doi.org/10.1109/SmartNets50376.2021.9555430","url":null,"abstract":"In the age of IoT, a huge amount of real time data is produced every second from the colossal number and different types of sensors deployed. A generic and intelligent method to monitor these large data streams from a wide range of sources without human supervision or the use of expert knowledge is a big challenge. In this paper we propose, develop, and test a generic method for anomaly detection which is completely data-driven without human supervision. The proposed method is able to detect the underlying correlations amongst multiple sensors and detect the data patterns from all correlated sensor data through time. Anomalies are detected from marginal deviations from the normal identified patterns. The proposed method is applied to Building Management System’s data which include various types of sensors and proves the generality of the proposed method.","PeriodicalId":443191,"journal":{"name":"2021 International Conference on Smart Applications, Communications and Networking (SmartNets)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122357862","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":"Position Discrimination of a 2.4 GHz IEEE 802.15.4 RF Mobile Source Inside-Outside a Vehicle","authors":"V. Marsic, E. Kampert, M. Higgins","doi":"10.1109/SmartNets50376.2021.9555414","DOIUrl":"https://doi.org/10.1109/SmartNets50376.2021.9555414","url":null,"abstract":"Thanks to the recent advancements in the automotive industry, in smart city infrastructure and in electronics miniaturization, low-power wireless sensors are becoming a reference sensing technology connecting the internet of things (IoT) with the conventional world. This study provides an empirical solution to the modern radio location problem of inside-outside position discrimination for a mobile radio frequency (RF) source. The solution is delivered by a detection system that is fully enclosed inside a modern vehicle cabin, whereas the RF ranging is based solely on the received signal strength indicator (RSSI) and the individual sensor’s directivity achieved through shielding. The RF detection system is provided through a low-power wireless sensing network as a complete 2.4 GHz IEEE 802.15.4 solution, anticipating the future integration of this technology in the next generation of smartphones. The RSSI fingerprinting database, which is derived from empirical outdoor measurements for a range up to 5 m, delivers a consistent performance inside the highly RF-reflective vehicle cabin by exploiting the sensor position and directivity, focused on the front of each seat to avoid future human interference. Moreover, a theoretical propagation model based on Friis’ transmission equation constructed on system parameters shows a high correlation with the RSSI fingerprinting experimental model, supporting the consistency of the empirical model, and demonstrating a similar high inside-outside discrimination. The decision algorithm logics used for inside-outside discrimination illustrate a strong example for sensor group decision based on two spatial thresholds: maximum detection range for outside discrimination and the cabin width for inside discrimination. This study’s location system design creates exploitation possibilities beyond the vehicle environment. Various applications that require complete sensor encasement, such as road flushed traffic sensors or underground systems for parking space occupancy detection may benefit from this work’s findings.","PeriodicalId":443191,"journal":{"name":"2021 International Conference on Smart Applications, Communications and Networking (SmartNets)","volume":"24 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132313164","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}