2020 International Conference on COMmunication Systems & NETworkS (COMSNETS)最新文献_第3页

Link Quality Measurements for Marine Vehicular to Infrastructure Network (V2I) 船舶与基础设施网络(V2I)的链路质量测量

2020 International Conference on COMmunication Systems & NETworkS (COMSNETS) Pub Date : 2020-01-01 DOI: 10.1109/COMSNETS48256.2020.9027379

D. Raj, M. Ramesh, Sethuraman N. Rao

{"title":"Link Quality Measurements for Marine Vehicular to Infrastructure Network (V2I)","authors":"D. Raj, M. Ramesh, Sethuraman N. Rao","doi":"10.1109/COMSNETS48256.2020.9027379","DOIUrl":"https://doi.org/10.1109/COMSNETS48256.2020.9027379","url":null,"abstract":"Marine environment can be very extreme and unpredictable. fishing vessels need a robust communication infrastructure to connect to the shore based services during scenarios such as impending cyclones and other emergencies (such as accidents with ships) to expedite rescue operations. Even operation-wise, Internet at sea would enable the availability of several applications and services (E-commerce, Live data of Potential Fishing Zones advisory, etc.) which would lead to a more improved and efficient fishing business for fishermen. The potential of the proposed OceanNet architecture for marine Internet connectivity is demonstrated through this V2I communication infrastructure that ensures connectivity and coverage to satisfy the vehicular application requirements. This work is a study of link quality parameters based on real data collected from the installed OceanNet devices on eight fishing nodes. The ultimate aim of such a study is to be able to provide information for fishermen as to the locations where they would get reliable Internet connectivity for emergency communication using VoIP services.","PeriodicalId":265871,"journal":{"name":"2020 International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130227279","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: 3

Positive Information Diffusion for Rumor Containment in Online Social Networks 正面信息扩散对在线社交网络谣言遏制的影响

2020 International Conference on COMmunication Systems & NETworkS (COMSNETS) Pub Date : 2020-01-01 DOI: 10.1109/COMSNETS48256.2020.9027478

Rohit Tripathi, Shilpa Rao

{"title":"Positive Information Diffusion for Rumor Containment in Online Social Networks","authors":"Rohit Tripathi, Shilpa Rao","doi":"10.1109/COMSNETS48256.2020.9027478","DOIUrl":"https://doi.org/10.1109/COMSNETS48256.2020.9027478","url":null,"abstract":"Rumors in online social networks (OSNs) create social chaos, financial losses, and endanger property, which makes rumor containment an important issue. We consider an OSN in which the users communicate via private peer-to-peer messages. We propose a peer-to-peer linear threshold (PLT) model for information diffusion in OSNs, which is a variant of the classic LT model. To combat the rumor spread in the OSN, an anti-rumor agent introduces positive information to a few users of the OSN, which are called as positive seed nodes. These positive seeds spread the positive information in the OSN in due course of time. For a given time-period called the rumor-relevance interval, we determine average number of rumor-influenced nodes for the random, the max-degree, the greedy, and the proposed proximity-weight-degree based positive seed node selection schemes. We compare the effect of the rumor-relevance interval duration and number of positive seed nodes on the average number of rumor-influenced nodes for different positive seed selection algorithms. Our experimental results show that proximity-weight-degree based positive seed selection algorithm performs on par with the high complexity greedy scheme.","PeriodicalId":265871,"journal":{"name":"2020 International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122252325","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: 3

Evaluation of Feature and Signature based Training Approaches for Malware Classification using Autoencoders 基于特征和签名的自编码器恶意软件分类训练方法的评估

2020 International Conference on COMmunication Systems & NETworkS (COMSNETS) Pub Date : 2020-01-01 DOI: 10.1109/COMSNETS48256.2020.9027373

S. S. Tirumala, M. R. Valluri, David Nanadigam

{"title":"Evaluation of Feature and Signature based Training Approaches for Malware Classification using Autoencoders","authors":"S. S. Tirumala, M. R. Valluri, David Nanadigam","doi":"10.1109/COMSNETS48256.2020.9027373","DOIUrl":"https://doi.org/10.1109/COMSNETS48256.2020.9027373","url":null,"abstract":"Malware analysis has become a critical and notable area of research importance due to rapid growth in the development and application of internet based systems. Recent advances in artificial intelligence (AI) particularly with data mining enabled the implementation of AI based malware classification and detection systems. AI based malware analysis systems are predominantly signature based and are built on available malware datasets. This paper tries to evaluate the capability of a feature based malware classification using autoencoders. In so doing, this paper presents a new approach for creating a synthetic malware dataset based on signature and features which could be used to train and test both traditional and artificial intelligence based malware detection systems. Various experiments are carried out using autoencoders training on feature based and signature based datasets and tested on a synthetic dataset. The experiments also carried out with multiple datasets and topologies. The experiment results show that the feature based training is proved to be efficient for synthetic, signature and feature based datasets compared to signature based approach. Feature based stacked autoencoders (5-layered) is able to achieve a classification accuracy of 95.6% more than 11.6% when compared with the signature based system which could achieve only 84.6%.","PeriodicalId":265871,"journal":{"name":"2020 International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116540725","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

Identifying Outdoor Context by Correlating Air and Noise Pollution Sensor Log 通过关联空气和噪音污染传感器记录来识别室外环境

2020 International Conference on COMmunication Systems & NETworkS (COMSNETS) Pub Date : 2020-01-01 DOI: 10.1109/COMSNETS48256.2020.9027364

Biswajit Maity, Yashwant Polapragada, Arindam Ghosh, Sanghita Bhattacharjee, S. Nandi

引用次数: 4

Impact of Earthquakes based on Satellite Images using IoT and Sensor Networks 基于使用物联网和传感器网络的卫星图像的地震影响

2020 International Conference on COMmunication Systems & NETworkS (COMSNETS) Pub Date : 2020-01-01 DOI: 10.1109/COMSNETS48256.2020.9027380

Sameer. N. Rajput, Amar Ippili, Divya Puraswani, Shubh Johri, A. Nadathur, Subhankar Dhar

{"title":"Impact of Earthquakes based on Satellite Images using IoT and Sensor Networks","authors":"Sameer. N. Rajput, Amar Ippili, Divya Puraswani, Shubh Johri, A. Nadathur, Subhankar Dhar","doi":"10.1109/COMSNETS48256.2020.9027380","DOIUrl":"https://doi.org/10.1109/COMSNETS48256.2020.9027380","url":null,"abstract":"Technological advancements of studying images, acquired from satellites can play an important role in knowing the impact of disasters, which affects humanity in several ways. We propose an integrated framework for earthquake management helping in mitigating, preparing, responding and recovering from disasters using IoT, sensor networks and deep learning models. Our model will be built upon previous research by considering the impact of destruction, which will assist in relief efforts, rescue operations, and disaster responses. The framework will start with collecting data from publicly available sources, followed by data scrubbing, exploring, featuring and modeling using deep learning semantic-based CNN models. Various performance measures like confusion matrix will be used to evaluate our model. Data visualization will be done using Python and Tableau. Our model will quantify the impact of earthquakes using images collected pre and post-earthquake, focusing on building destruction. The results of our analysis will help humanity to measure and monitor the impact of disaster by using data science tools and techniques.","PeriodicalId":265871,"journal":{"name":"2020 International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"247 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132585495","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: 3

Scalability Analysis of an Emulated Platform for Heterogeneous Networks 异构网络仿真平台的可扩展性分析

2020 International Conference on COMmunication Systems & NETworkS (COMSNETS) Pub Date : 2020-01-01 DOI: 10.1109/COMSNETS48256.2020.9027435

G. Mishra, H. Rath

{"title":"Scalability Analysis of an Emulated Platform for Heterogeneous Networks","authors":"G. Mishra, H. Rath","doi":"10.1109/COMSNETS48256.2020.9027435","DOIUrl":"https://doi.org/10.1109/COMSNETS48256.2020.9027435","url":null,"abstract":"In the world of everyday changing wireless communication systems, it is difficult to extend hardware-based test-beds which can reflect constant changes in the technology. Emulation, which is an alternative method to evaluate the services in realtime, lacks in accuracy as the scale of the network increases. In this paper, we present the scalability analysis of the open-source discrete event emulator NS-3 and demonstrate its limitations under different load conditions. We, further, model the underlying radio network as an open GI/G/1 queuing network with nonexponential service time and inter-arrival time distributions to present theoretical analysis of the system. Theoretical results give a trustworthiness indicator and provide a measure of divergence between emulated and analytical results. We use Percentage of Accuracy (PoA) as the measuring parameter of accuracy of emulation results with respect to theoretical results. We also conduct a small test-bed based experiment and compare the results of the same with that of the emulator. Test-bed results help us to tune the parameters of the emulator, so that better emulation accuracy can be obtained.","PeriodicalId":265871,"journal":{"name":"2020 International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"184 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132936703","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

Opinion Control Competition in a Social Network 社交网络中的舆论控制竞争

2020 International Conference on COMmunication Systems & NETworkS (COMSNETS) Pub Date : 2020-01-01 DOI: 10.1109/COMSNETS48256.2020.9027368

Mohak Goyal, D. Manjunath

引用次数: 3

Intelligent Fault Diagnosis of Air Brake System in Heavy Commercial Road Vehicles 重型商用道路车辆气制动系统故障智能诊断

2020 International Conference on COMmunication Systems & NETworkS (COMSNETS) Pub Date : 2020-01-01 DOI: 10.1109/COMSNETS48256.2020.9027307

Radhika Raveendran, K. Devika, S. Subramanian

引用次数: 3

Locator: A Cloud-Fog-Enabled Framework for Facilitating Efficient Location based Services 定位器:一个支持云雾的框架，用于促进高效的基于位置的服务

2020 International Conference on COMmunication Systems & NETworkS (COMSNETS) Pub Date : 2020-01-01 DOI: 10.1109/COMSNETS48256.2020.9027345

Shreya Ghosh, Jaydeep Das, Soumyasri Ghosh

引用次数: 8

Smart City Renovation using SDN Framework 基于SDN框架的智慧城市改造

2020 International Conference on COMmunication Systems & NETworkS (COMSNETS) Pub Date : 2020-01-01 DOI: 10.1109/COMSNETS48256.2020.9027417

M. Priyadarsini, Pooja Mittal, P. Bera

{"title":"Smart City Renovation using SDN Framework","authors":"M. Priyadarsini, Pooja Mittal, P. Bera","doi":"10.1109/COMSNETS48256.2020.9027417","DOIUrl":"https://doi.org/10.1109/COMSNETS48256.2020.9027417","url":null,"abstract":"Research and development in different technical dimensions of smart city has been a key challenge. It requires successful renovation with suitable technology and innovative design models while sharing knowledge and amenity to the society. Satellite communication plays an important role in providing accurate and timely information to the user nodes present in the community. Software-defined networking (SDN) has been evolved as an emerging platform in the last decade and solves various challenges faced by traditional network used in satellite communication. In this paper, we present an SDN deployed design framework for traffic management and weather forecasting in smart city environment. Our design framework is integrated into the ground stations and consists of four modules, namely; data retrieval, computation, verification, and information circulation. These modules coordinate with each other along with the satellites, and user nodes. The accuracy of the proposed framework is verified using a Z3 constraint solver. Also, the performance is compared with TCP/IP network and existing GPS systems. The results show 98% accurate message detection, 38% enhancement in throughput, and approximately 25ms delay in delivering the messages to the user devices.","PeriodicalId":265871,"journal":{"name":"2020 International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130323547","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