{"title":"Leveraging Machine Learning and SDN-Fog Infrastructure to Mitigate Flood Attacks","authors":"Harsh Sharma, Shashank Gupta","doi":"10.1109/GCWkshps52748.2021.9681984","DOIUrl":"https://doi.org/10.1109/GCWkshps52748.2021.9681984","url":null,"abstract":"The use of IoT devices is growing rapidly and it is playing a critical role in a diverse set of industries. It has been instrumental in the growth of smart cities. Smart cities have emerged as a paradigm for urban development which aims to be sustainable, efficient and improve accessibility. However, the limited processing power of IoT devices makes them susceptible to flood-based attacks. Denial of Service attacks can overwhelm the computing resources or network bandwidth of IoT networks. Since IoT devices power critical infrastructure like traffic management in smart cities, adequate defense of such networks from malicious actors is imperative. In this article, the authors propose a framework tailored for detection and mitigation of flood-based attacks in smart city infrastructure. The proposed smart city framework aims to reduce latency of attack detection by using fog computing for feature extraction and security maintenance. It allows scalability by utilizing SDN and fog infrastructure for mitigation of attacks. We have analysed and utilized packet-level features which are excellent for distinguishing between IoT and attack traffic. We have trained and quantitatively compared 5 state-of-the-art supervised machine learning models for attack detection in this paper. We were able to achieve an accuracy of 99.9% on our simulated dataset in attack detection.","PeriodicalId":6802,"journal":{"name":"2021 IEEE Globecom Workshops (GC Wkshps)","volume":"1 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72967248","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}
Jigna J. Hathaliya, Rajesh Gupta, S. Tanwar, Priyanka Sharma
{"title":"A Smart contract-based secure data sharing scheme in Healthcare 5.0","authors":"Jigna J. Hathaliya, Rajesh Gupta, S. Tanwar, Priyanka Sharma","doi":"10.1109/GCWkshps52748.2021.9681956","DOIUrl":"https://doi.org/10.1109/GCWkshps52748.2021.9681956","url":null,"abstract":"In-Patient Monitoring, data sharing is fundamental step to get the comprehension from earlier research-oriented work. Traditional data-sharing policies rely on third-party holders that can compromise the system transparency, trust, and integrity. To solve the aforementioned issues, we have proposed a smart contract-based secure data sharing scheme in healthcare 5.0 by leveraging the advantages of the interplanetary file system (IPFS). The proposed scheme achieves data confidentiality, integrity, and access control rules by implementing active entities’ access control policy written in a smart contract. Entities are first authenticated using digital signatures. Afterwards, the completion of treatment initiated the transaction and transferred the amount to the requested entities. This scheme integrates Ethereum blockchain (BCN), decentralized storage, and incentive schemes. In this scheme, smart contracts are written in solidity language and deployed on the Ethereum-based test network. The proposed scheme achieves data integrity, confidentiality, authentication, and non-repudiation. The result section calculates the communication and computation cost of 1408 bits and 0.112 ms, respectively.","PeriodicalId":6802,"journal":{"name":"2021 IEEE Globecom Workshops (GC Wkshps)","volume":"101 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78094389","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}
Alex Valtchanov, Lauren Helbling, Batuhan Mekiker, Mike P. Wittie
{"title":"Parallel Block Execution in SoCC Blockchains through Optimistic Concurrency Control","authors":"Alex Valtchanov, Lauren Helbling, Batuhan Mekiker, Mike P. Wittie","doi":"10.1109/GCWkshps52748.2021.9682147","DOIUrl":"https://doi.org/10.1109/GCWkshps52748.2021.9682147","url":null,"abstract":"The blockchain ecosystem is growing rapidly with new decentralized applications being released constantly, boasting significant growth in functionality and adoption. With accelerating adoption rate, the load on all the existing blockchain networks grows as well, causing increased transaction delays. We seek to improve the performance of blockchain solutions by increasing transaction throughput. This paper presents a novel approach for executing blocks in parallel using optimistic concurrency control and conflict rescheduling. Specifically, we show that our approach improves the performance of Separation of Consensus and Compute (SoCC) blockchains with the potential to reduce smart contract transaction wait times.","PeriodicalId":6802,"journal":{"name":"2021 IEEE Globecom Workshops (GC Wkshps)","volume":"6 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74911646","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}
A. Davydov, A. Putilin, B. Mondal, A. Papathanassiou, V. Sergeev, A. Sengupta
{"title":"Uplink Two-Phase Multi-User Detection for C-RAN with Massive MIMO Antenna Systems","authors":"A. Davydov, A. Putilin, B. Mondal, A. Papathanassiou, V. Sergeev, A. Sengupta","doi":"10.1109/GCWkshps52748.2021.9682071","DOIUrl":"https://doi.org/10.1109/GCWkshps52748.2021.9682071","url":null,"abstract":"Multi-User reception over massive Multiple-Input Multiple-Output (MU-MIMO) antenna systems is one of the key 5G technologies as it significantly improves 5G network spectral efficiency and capacity by supporting simultaneous transmission from multiple users on the same time and frequency resources in the uplink. Multi-user interference in this case is suppressed by using advanced beamforming techniques at the base station (BS) receiver which rely on channel state information (CSI). Such CSI is typically estimated with the help of orthogonal Demodulation Reference Signals (DM-RS) transmitted along with the data channel. As the number of simultaneously served uplink users increases, the number of orthogonal DM-RS signals (antenna ports) and, therefore, the DM-RS overhead also increase linearly. In this paper we propose a two-phase MIMO signal processing technique that reduces the DM-RS overhead by using non-orthogonal DM-RS uplink transmission. The proposed technique can be efficiently realized in a centralized radio access network (C-RAN) architecture with the first phase of signal processing implemented in the remote radio unit (RRU) and the second phase of signal processing in the centralized base-band unit (BBU) connected with each other by a fronthaul (FH) network.","PeriodicalId":6802,"journal":{"name":"2021 IEEE Globecom Workshops (GC Wkshps)","volume":"61 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73667136","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}
ZhiKai Liang, Ling Wang, Mingliang Tao, Jian Xie, Xin Yang
{"title":"Attention Mechanism Based ResNeXt Network for Automatic Modulation Classification","authors":"ZhiKai Liang, Ling Wang, Mingliang Tao, Jian Xie, Xin Yang","doi":"10.1109/GCWkshps52748.2021.9682126","DOIUrl":"https://doi.org/10.1109/GCWkshps52748.2021.9682126","url":null,"abstract":"Automatic modulation classification (AMC) is becoming increasingly important in modern wireless communication. In this paper, we proposed a novel integrative approach for AMC based on feature and deep learning. The time-frequency spectrograms are extracted by short-time Fourier transform (STFT) on the received communication signals, which are used as the inputs of the deep learning (DL) network. The ResNeXt network is designed as the backbone, and two dual attention mechanism modules and customized classification module are incorporated. ResNeXt introduces a new dimension named Cardinality, making ResNeXt own excellent feature extraction ability. The dual attention mechanism module combines the channel attention and spatial attention modules to enhance the salient features and suppress the redundant features. Furthermore, the customized classification header improves the robustness of the classifier. Experimental results on the RadioML2016.10B dataset demonstrate its high accuracy and robust performance compared with other state-of-the-art techniques, surpassing them by 2% to 10% in terms of accuracy.","PeriodicalId":6802,"journal":{"name":"2021 IEEE Globecom Workshops (GC Wkshps)","volume":"31 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73321796","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}
Zied Bouida, Ismael AlShiab, Yousef Rafique, Abdallah Jarwan, Manishkumar Moorjmalani, S. Kuri, M. Ibnkahla
{"title":"Carleton-Cisco IoT Testbed: Architecture, Features, and Applications","authors":"Zied Bouida, Ismael AlShiab, Yousef Rafique, Abdallah Jarwan, Manishkumar Moorjmalani, S. Kuri, M. Ibnkahla","doi":"10.1109/GCWkshps52748.2021.9681940","DOIUrl":"https://doi.org/10.1109/GCWkshps52748.2021.9681940","url":null,"abstract":"The Carleton-Cisco Internet of Things (IoT) testbed is being built at Carleton University’s IoT Lab. Hosting diverse applications, the testbed adopts a layered approach composed of four layers: Sensing, Edge, Fog, and Cloud layers. The IoT testbed is distributed over multiple sites at Carleton University’s Campus and the City of Ottawa. In this paper, we first present the architecture and the features of the testbed. Then, we give an overview of the applications running on the testbed and their underlying techniques and protocols. In particular, we highlight the use of Edge computing and data analytics in selected applications. We also present the testbed’s deployment challenges and the proposed solutions.","PeriodicalId":6802,"journal":{"name":"2021 IEEE Globecom Workshops (GC Wkshps)","volume":"98 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73441776","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":"Delay Model-Based Computation Offloading Scheme in Edge Collaboration Framework","authors":"Jinho Park, K. Chung","doi":"10.1109/GCWkshps52748.2021.9682175","DOIUrl":"https://doi.org/10.1109/GCWkshps52748.2021.9682175","url":null,"abstract":"Recently, the widespread use of the Internet of Things (IoT) devices has brought people’s lives more convenient However, it has limited computing resources for processing tasks. For sufficient computing resources, a computation offloading scheme has been proposed using an edge server. Nevertheless, when many devices are connected to the edge server, the processing efficiency of the task is degraded. To solve this problem, the computation offloading scheme has been studied on the basis of the edge collaboration framework. The existing computation offloading scheme does not consider other edge servers’ computing resources or communication overhead. It leads to a high completion time and low success rate. In this paper, we propose a delay model-based computation offloading scheme in an edge collaboration framework. First, we determine task offloading based on a probabilistic model and formulate the edge collaboration problem using a delay model. The formulated edge collaboration problem is solved using a greedy algorithm. Second, we allocate computing resources to assigned tasks in the edge server. Computing resources for task processing are calculated based on computation and buffering time trade-offs. Experimental results show that the proposed scheme achieves a high success rate and low completion time compared to the existing schemes.","PeriodicalId":6802,"journal":{"name":"2021 IEEE Globecom Workshops (GC Wkshps)","volume":"48 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76307997","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":"Chained LDPC Codes via Partial Information Coupling and Partial Parity Superposition","authors":"Qianfan Wang, Li Chen, Xiao Ma","doi":"10.1109/GCWkshps52748.2021.9682151","DOIUrl":"https://doi.org/10.1109/GCWkshps52748.2021.9682151","url":null,"abstract":"This paper presents a new class of chained low-density parity-check (LDPC) codes for the transport block (TB) based transmission protocol, in which a TB consists of multiple code blocks (CBs). The proposed chained LDPC codes are constructed by coupling together all CBs of a TB into a single chain, where partial information bits between every two adjacent LDPC CBs are shared using the partial information coupling (PIC) technique and partial parity bits are superimposed onto the following LDPC CB using the partial superposition (PS) technique, resulting in a PIC-PS-LDPC code. The proposed construction is universal in the sense that it is applicable to any existing LDPC codes including the random LDPC codes and the structured LDPC codes to obtain extra coding gains. More importantly, the proposed PIC-PS-LDPC codes can have encoder/decoder implemented using the structure of the underlying LDPC codes. Numerical results show that the PS technique can further improve the PIC-LDPC codes, and the PIC technique can further improve the PS-LDPC codes. They also show that the proposed PIC-PS-LDPC codes with the 5G New Radio (5G-NR) LDPC codes as the mother codes can yield a coding gain of up to 0.6 dB over the conventional 5G-NR LDPC codes.","PeriodicalId":6802,"journal":{"name":"2021 IEEE Globecom Workshops (GC Wkshps)","volume":"182 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74401717","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":"P2IoV:Privacy Preserving Lightweight Secure Data Dissemination Scheme for Internet of Vehicles","authors":"Umesh Bodkhe, S. Tanwar","doi":"10.1109/GCWkshps52748.2021.9682168","DOIUrl":"https://doi.org/10.1109/GCWkshps52748.2021.9682168","url":null,"abstract":"Intelligent Transportation System (ITS) and Internet of Vehicles (IoV) allows the vehicles to disseminate and exchange various messages among nearby vehicles in the network. It includes road safety, road accidents, location sharing, driver assistance, navigation, collision warning, traffic data, and toll payment. Moreover, the exchange of these messages is carried out in an insecure channel. Hence, it leads to several issues during transmission of these messages in resource constrained IoV networks. It includes reliable data dissemination, dynamic topology, mobility of the vehicles, vehicle user’s privacy, and lightweight authentication mechanism. The existing Vehicle to Vehicle (V2V) data dissemination techniques have limitations in security attacks such as side channel, device stolen, cloning attacks, high computational overhead, throughput, and high communication cost. In this article, we propose P2IoV: Privacy Preserving Lightweight Secure (V2V) Data Dissemination Scheme for IoV environment using lightweight cryptographic primitives such as SHA-256, concatenation and XoR operation. We evaluate P2IoV in terms of security and vehicle user’s privacy against several security attacks. We do an in-depth security analysis of the P2IoV by using informal security analysis and provides security proofs. We also perform a comparative analysis of P2IoV with the existing state-of-the-art IoV environment using various performance parameters. The test-bed experimental result shows that P2IoV outperforms the existing V2V data dissemination technique in terms of computational cost, communication overhead, and energy consumption.","PeriodicalId":6802,"journal":{"name":"2021 IEEE Globecom Workshops (GC Wkshps)","volume":"19 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77088554","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}