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2023 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET)最新文献

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ARDL-IDS: Adversarial Resilience in Deep Learning-based Intrusion Detection Systems ARDL-IDS:基于深度学习的入侵检测系统中的对抗弹性
2023 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET) Pub Date : 2023-03-29 DOI: 10.1109/WiSPNET57748.2023.10134456
Bhagavathi Ravikrishnan, Ishwarya Sriram, Samhita Mahadevan
{"title":"ARDL-IDS: Adversarial Resilience in Deep Learning-based Intrusion Detection Systems","authors":"Bhagavathi Ravikrishnan, Ishwarya Sriram, Samhita Mahadevan","doi":"10.1109/WiSPNET57748.2023.10134456","DOIUrl":"https://doi.org/10.1109/WiSPNET57748.2023.10134456","url":null,"abstract":"With the growing complexity of computer networks and malicious attacks, countermeasures for prevention, detection, and protection are in high demand. Intrusion Detections Systems(IDS) have shown a lot of potential in detecting these attacks, but an effective and adaptive IDS that can be scaled and updated systematically is essential, and the efficiency of deep learning methods for the same has been rapidly increasing. ARDL-IDS identifies the need for a high-performing network intrusion detection system that sustains itself in the rapidly growing network environments and uses Deep Learning techniques to help in handling the volume and variety of these intrusions that are prevalent. The KDDCUP'99 dataset is used to classify the various types of attacks using a Deep Neural Network(DNN). To prevent possible attacks on the trained model, the system is made more robust through adversarial training with FGSM, BIM, MIM, and PGD attacks.","PeriodicalId":150576,"journal":{"name":"2023 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134124654","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
Front Cover WiSPNET2023 封面WiSPNET2023
2023 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET) Pub Date : 2023-03-29 DOI: 10.1109/wispnet57748.2023.10134264
{"title":"Front Cover WiSPNET2023","authors":"","doi":"10.1109/wispnet57748.2023.10134264","DOIUrl":"https://doi.org/10.1109/wispnet57748.2023.10134264","url":null,"abstract":"","PeriodicalId":150576,"journal":{"name":"2023 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114212297","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 Multi-objective Weight based Optimal Cluster Head Selection for Lifetime Augmentation in IoT based Heterogeneous Wireless Sensor Networks 基于物联网异构无线传感器网络中基于多目标权值的簇头优化选择
2023 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET) Pub Date : 2023-03-29 DOI: 10.1109/WiSPNET57748.2023.10134155
Blessina Preethi R, M. Nair
{"title":"A Multi-objective Weight based Optimal Cluster Head Selection for Lifetime Augmentation in IoT based Heterogeneous Wireless Sensor Networks","authors":"Blessina Preethi R, M. Nair","doi":"10.1109/WiSPNET57748.2023.10134155","DOIUrl":"https://doi.org/10.1109/WiSPNET57748.2023.10134155","url":null,"abstract":"Wireless sensor network is the saluted technology to gather information and monitor the environment, despite its limited lifetime being the major challenge. The most conferred network lifetime augmentation method in hierarchical heterogeneous sensor networks is the clustering and cluster head selection. In this paper, sensor nodes are clustered initially based on their location information and then a multi-objective weight based fitness function is used to elect the optimal cluster head among the nodes of variable energy levels. The various criterion functions considered to elect the cluster head are the residual energy, distance from the sink node, average distance of nodes in the cluster, and average energy in the cluster. The data collection is done using test beds of the setup state phase and steady-state phase. The simulation results have proven that the proposed algorithm achieves 40% increase in the network lifetime compared with pre-existing algorithms.","PeriodicalId":150576,"journal":{"name":"2023 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127287347","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
GaAs based Hybrid Plasmonic Terahertz Waveguide Modal Analysis 基于砷化镓的混合等离子体太赫兹波导模态分析
2023 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET) Pub Date : 2023-03-29 DOI: 10.1109/WiSPNET57748.2023.10134490
Pallavi Mahankali, R. T., S. M, Shyamal Monda
{"title":"GaAs based Hybrid Plasmonic Terahertz Waveguide Modal Analysis","authors":"Pallavi Mahankali, R. T., S. M, Shyamal Monda","doi":"10.1109/WiSPNET57748.2023.10134490","DOIUrl":"https://doi.org/10.1109/WiSPNET57748.2023.10134490","url":null,"abstract":"Wavelength, material and dimension are crucial elements to consider when modelling a waveguide. In this research paper, a hybrid plasmonic Terahertz (THz) waveguide is constructed at around 3 THz using Gallium Arsenide (GaAs), a high-index material is embedded in a low-index material to confine THz waves efficiently. The effective mode area, propagation length, effective refractive index and figure of merit have been fully examined using the finite element method utilizing the Comsol multiphysics software tool. The results of the proposed THz waveguide exhibit a high effective refractive index of 3.14, long propagation length of 910 μm, large effective mode area of 1.9 μm2 and high figure of merit of 944 at around 3 THz.","PeriodicalId":150576,"journal":{"name":"2023 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116959352","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
Compressive Sensing Framework for Synthetic Aperture Radar Imaging using OMP Algorithm 基于OMP算法的合成孔径雷达成像压缩感知框架
2023 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET) Pub Date : 2023-03-29 DOI: 10.1109/WiSPNET57748.2023.10134450
Sreelakshmi Sowjanya Lanka, L. Nagaraju, Kishore Kumar Puli
{"title":"Compressive Sensing Framework for Synthetic Aperture Radar Imaging using OMP Algorithm","authors":"Sreelakshmi Sowjanya Lanka, L. Nagaraju, Kishore Kumar Puli","doi":"10.1109/WiSPNET57748.2023.10134450","DOIUrl":"https://doi.org/10.1109/WiSPNET57748.2023.10134450","url":null,"abstract":"Imaging a target or scene is one of the most important applications of Synthetic Aperture Radar (SAR). There are many numbers of algorithms to generate SAR images but, conventional imaging methods sometimes produce higher sidelobe levels in the resultant image which further need to be suppressed to get finer resolutions. In this paper, we proposed a Compressive Sensing (CS) framework based Orthogonal Matching Pursuit (OMP) algorithm for SAR imaging to get highly focused target images and to achieve good resolution in identifying weak scatterers. Initially, the SAR imaging problem is defined as a CS problem and later this problem is solved using Modified-Orthogonal Matching Pursuit (M-OMP) algorithms. From the results, it is observed that the proposed algorithm is showing clearer target images than the conventional imaging methods.","PeriodicalId":150576,"journal":{"name":"2023 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127039343","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
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