2023 IEEE Symposium on Computers and Communications (ISCC)最新文献_第4页

Deep learning approach for Tunisian hate Speech detection on Facebook Facebook上突尼斯仇恨言论检测的深度学习方法

2023 IEEE Symposium on Computers and Communications (ISCC) Pub Date : 2023-07-09 DOI: 10.1109/ISCC58397.2023.10217909

Mariem Abbes, Zied Kechaou, A. Alimi

引用次数: 0

CCSv6: A Detection Model for DNS-over-HTTPS Tunnel Using Attention Mechanism over IPv6 CCSv6:基于IPv6的注意机制的DNS-over-HTTPS隧道检测模型

2023 IEEE Symposium on Computers and Communications (ISCC) Pub Date : 2023-07-09 DOI: 10.1109/ISCC58397.2023.10218057

Liang Jiao, Yujia Zhu, Xingyu Fu, Yi Zhou, Fenglin Qin, Qingyun Liu

引用次数: 1

Energy-efficient Wireless Mesh Networks with IEEE 802.11ba: A New Architecture 基于IEEE 802.11ba的高能效无线Mesh网络:一种新架构

2023 IEEE Symposium on Computers and Communications (ISCC) Pub Date : 2023-07-09 DOI: 10.1109/ISCC58397.2023.10218013

R. Vital, Carles Gomez, E. G. Villegas

引用次数: 0

Deep Reinforcement Learning-Based SFC Deployment Scheme for 6G IoT Scenario 6G物联网场景下基于深度强化学习的SFC部署方案

2023 IEEE Symposium on Computers and Communications (ISCC) Pub Date : 2023-07-09 DOI: 10.1109/ISCC58397.2023.10218207

Shuting Long, Bei Liu, Hui Gao, Xin Su, Xibin Xu

引用次数: 0

Design of a Blockchain-Based Secure Storage Architecture for Resource-Constrained Healthcare 基于区块链的资源受限医疗保健安全存储架构设计

2023 IEEE Symposium on Computers and Communications (ISCC) Pub Date : 2023-07-09 DOI: 10.1109/ISCC58397.2023.10218178

Laura Rodrigues Soares, J. Nobre, Gabriel Kerschner

{"title":"Design of a Blockchain-Based Secure Storage Architecture for Resource-Constrained Healthcare","authors":"Laura Rodrigues Soares, J. Nobre, Gabriel Kerschner","doi":"10.1109/ISCC58397.2023.10218178","DOIUrl":"https://doi.org/10.1109/ISCC58397.2023.10218178","url":null,"abstract":"The Internet of Things (IoT) paradigm can improve a broad range of applications, such as medical sensors, smart cities, industrial monitoring, and so on. In healthcare specifically, these devices can aid in management tasks and improve the quality of life of patients in intensive care. However, securing medical IoT devices and its data is a crucial task. Not only do they handle Electronic Medical Records (EMR) and physiological information, but in some cases, disruption can affect a patient's treatment. Blockchain technologies applied in the healthcare context can provide privacy, immutability, decentralization, and easier access and sharing of medical data. Despite the emergence of applications aiming to solve security issues in the Healthcare IoT (HIoT) scenario using blockchain, there is still much to be addressed, mainly regarding throughput, storage of data, and efficient use of resources. This work proposes a blockchain-based storage architecture for HIoT, using a private network and distributed data storage to achieve integrity, accountability, and availability of medical data.","PeriodicalId":265337,"journal":{"name":"2023 IEEE Symposium on Computers and Communications (ISCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130717978","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

Balancing Robustness and Covertness in NLP Model Watermarking: A Multi-Task Learning Approach 平衡NLP模型水印的鲁棒性和隐蔽性:一种多任务学习方法

2023 IEEE Symposium on Computers and Communications (ISCC) Pub Date : 2023-07-09 DOI: 10.1109/ISCC58397.2023.10218209

Long Dai, Jiarong Mao, Liao Xu, Xuefeng Fan, Xiaoyi Zhou

{"title":"Balancing Robustness and Covertness in NLP Model Watermarking: A Multi-Task Learning Approach","authors":"Long Dai, Jiarong Mao, Liao Xu, Xuefeng Fan, Xiaoyi Zhou","doi":"10.1109/ISCC58397.2023.10218209","DOIUrl":"https://doi.org/10.1109/ISCC58397.2023.10218209","url":null,"abstract":"The popularity of ChatGPT demonstrates the immense commercial value of natural language processing (NLP) technology. However, NLP models are vulnerable to piracy and redistribution, which harms the economic interests of model owners. Existing NLP model watermarking schemes struggle to balance robustness and covertness. Robust watermarking require embedding more information, which compromises their covertness; conversely, covert watermarking are challenging to embed more information, which affects their robustness. This paper proposes an NLP model watermarking framework that uses multi-task learning to address the conflict between robustness and covertness in existing schemes. Specifically, a covert trigger set is established to implement remote verification of the watermark model, and a covert auxiliary network is designed to enhance the watermark model's robustness. The proposed watermarking framework is evaluated on two benchmark datasets and three mainstream NLP models. The experiments validate the frame-work's excellent covertness, robustness, and low false positive rate.","PeriodicalId":265337,"journal":{"name":"2023 IEEE Symposium on Computers and Communications (ISCC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123169608","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

High Gain and Compact Microstrip Patch Antenna Array Design for 26 GHz Broadband Wireless Systems 26 GHz宽带无线系统的高增益紧凑型微带贴片天线阵列设计

2023 IEEE Symposium on Computers and Communications (ISCC) Pub Date : 2023-07-09 DOI: 10.1109/ISCC58397.2023.10218290

Sirine Ghenjeti, R. Barrak, S. Hamouda

引用次数: 0

Traffic Matrix Estimation based on Denoising Diffusion Probabilistic Model 基于去噪扩散概率模型的交通矩阵估计

2023 IEEE Symposium on Computers and Communications (ISCC) Pub Date : 2023-07-09 DOI: 10.1109/ISCC58397.2023.10218016

Xinyu Yuan, Yan Qiao, Pei Zhao, Rongyao Hu, Benchu Zhang

引用次数: 0

Modeling Digital Twins of Kubernetes-Based Applications 基于kubernetes的应用程序的数字孪生建模

2023 IEEE Symposium on Computers and Communications (ISCC) Pub Date : 2023-07-09 DOI: 10.1109/ISCC58397.2023.10217853

D. Borsatti, W. Cerroni, L. Foschini, G. Grabarnik, Filippo Poltronieri, Domenico Scotece, L. Shwartz, C. Stefanelli, M. Tortonesi, Mattia Zaccarini

{"title":"Modeling Digital Twins of Kubernetes-Based Applications","authors":"D. Borsatti, W. Cerroni, L. Foschini, G. Grabarnik, Filippo Poltronieri, Domenico Scotece, L. Shwartz, C. Stefanelli, M. Tortonesi, Mattia Zaccarini","doi":"10.1109/ISCC58397.2023.10217853","DOIUrl":"https://doi.org/10.1109/ISCC58397.2023.10217853","url":null,"abstract":"Kubernetes provides several functions that can help service providers to deal with the management of complex container-based applications. However, most of these functions need a time-consuming and costly customization process to address service-specific requirements. The adoption of Digital Twin (DT) solutions can ease the configuration process by enabling the evaluation of multiple configurations and custom policies by means of simulation-based what-if scenario analysis. To facilitate this process, this paper proposes KubeTwin, a framework to enable the definition and evaluation of DTs of Kubernetes applications. Specifically, this work presents an innovative simulation-based inference approach to define accurate DT models for a Kubernetes environment. We experimentally validate the proposed solution by implementing a DT model of an image recognition application that we tested under different conditions to verify the accuracy of the DT model. The soundness of these results demonstrates the validity of the KubeTwin approach and calls for further investigation.","PeriodicalId":265337,"journal":{"name":"2023 IEEE Symposium on Computers and Communications (ISCC)","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121861293","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

Multi-Agent Deep Reinforcement Learning Based Computation Offloading Approach for LEO Satellite Broadband Networks 基于多代理深度强化学习的低地轨道卫星宽带网络计算卸载方法

2023 IEEE Symposium on Computers and Communications (ISCC) Pub Date : 2023-07-09 DOI: 10.1109/ISCC58397.2023.10218146

Junyu Lai, Huashuo Liu, Yusong Sun, Junhong Zhu, Wanyi Ma, Lianqiang Gan

{"title":"Multi-Agent Deep Reinforcement Learning Based Computation Offloading Approach for LEO Satellite Broadband Networks","authors":"Junyu Lai, Huashuo Liu, Yusong Sun, Junhong Zhu, Wanyi Ma, Lianqiang Gan","doi":"10.1109/ISCC58397.2023.10218146","DOIUrl":"https://doi.org/10.1109/ISCC58397.2023.10218146","url":null,"abstract":"Conventional computation offloading approaches are originally designed for ground networks, and are not effective for low earth orbit (LEO) satellite networks. This paper proposes a multi-agent deep reinforcement learning (MADRL) algorithm for making multi-level offloading decisions in LEO satellite networks. Offloading is formulated as a partially observable Markov decision process based multi-agent decision problem. Each satellite as an agent either conducts a received task, forwards it to neighbors, or sends it to ground clouds based on its own policy. These agents are independent and their deep neural networks to make offloading decisions share identical parameter values and are trained by using the same replay buffer. A centralized training and distributed executing mechanism is adopted to ensure that agents can make globally optimized offloading decisions. Comparative experiments demonstrate that the proposed MADRL algorithm outperforms the five baselines in terms of task processing delay and bandwidth consumption with acceptable computational complexity.","PeriodicalId":265337,"journal":{"name":"2023 IEEE Symposium on Computers and Communications (ISCC)","volume":"59 1","pages":"1435-1440"},"PeriodicalIF":0.0,"publicationDate":"2023-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139361278","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