2022 IEEE 21st International Symposium on Network Computing and Applications (NCA)最新文献

Enforcing delay-aware fog-cloud based IoT firewall (Work In Progress) 实施基于延迟感知雾云的物联网防火墙(正在进行中)

2022 IEEE 21st International Symposium on Network Computing and Applications (NCA) Pub Date : 2022-12-14 DOI: 10.1109/NCA57778.2022.10013561

Towhidul Islam, Asif Ahmed, Raihan Tanvir, Rezwana Reaz

引用次数: 0

Infrastructure-centric, NetworkServer-agnostic LoRaWAN Roaming 以基础设施为中心，与网络服务器无关的LoRaWAN漫游

2022 IEEE 21st International Symposium on Network Computing and Applications (NCA) Pub Date : 2022-12-14 DOI: 10.1109/NCA57778.2022.10013531

Giovanni Merlino, R. Asorey-Cacheda, L. D'Agati, F. Longo, A. García-Sánchez, J. García-Haro, A. Puliafito

引用次数: 0

Multiplicative Partially Homomorphic CRT Secret Sharing : (Preliminary Version) 乘法部分同态CRT秘密共享:(初步版本)

2022 IEEE 21st International Symposium on Network Computing and Applications (NCA) Pub Date : 2022-12-14 DOI: 10.1109/NCA57778.2022.10013513

S. Dolev, Yaniv Kleinman

引用次数: 0

Inter-slice B5G Bandwidth Resource Allocation B5G片间带宽资源分配

2022 IEEE 21st International Symposium on Network Computing and Applications (NCA) Pub Date : 2022-12-14 DOI: 10.1109/NCA57778.2022.10013545

Fadoua Debbabi, Raouia Taktak, Rihab Jmal, L. Chaari, R. Aguiar

{"title":"Inter-slice B5G Bandwidth Resource Allocation","authors":"Fadoua Debbabi, Raouia Taktak, Rihab Jmal, L. Chaari, R. Aguiar","doi":"10.1109/NCA57778.2022.10013545","DOIUrl":"https://doi.org/10.1109/NCA57778.2022.10013545","url":null,"abstract":"The Beyond 5G (B5G) networks vision afford wireless access to a vertical market with varying Quality of Service (QoS) requirements. Network Slicing (NS) is one of the key features that offers the opportunity to have a logical network that affects the market model of these verticals. Accordingly, Network Slicing opens the door to new market players including the Infrastructure Provider (InP) and the Virtual Network Operator (VNO). The InP is the owner of the infrastructure that supports several types of slices. The VNO will buy network resources (i.e., bandwidth) from the InP in order to provide a particular service to its users. Consequently, deciding on the optimal resources allocation among VNO users while maximizing the revenue of the InP has become a fundamental issue that needs to be solved. Previous works have presented optimal solutions for resources allocation and focused mainly on a single scenario based on pricing mechanisms. In this paper, we propose an inter-slice resources allocation based on multiple sets, namely customer residential profile, industry coverage, and business area. We propose an Integer Linear Programming (ILP) formulation to the problem, describe an admission control scheme and devise a greedy-based heuristic to solve the problem.","PeriodicalId":251728,"journal":{"name":"2022 IEEE 21st International Symposium on Network Computing and Applications (NCA)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122168808","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

Robustness Evaluation of Network Intrusion Detection Systems based on Sequential Machine Learning 基于顺序机器学习的网络入侵检测系统鲁棒性评估

2022 IEEE 21st International Symposium on Network Computing and Applications (NCA) Pub Date : 2022-12-14 DOI: 10.1109/NCA57778.2022.10013643

A. Venturi, Claudio Zanasi, Mirco Marchetti, M. Colajanni

{"title":"Robustness Evaluation of Network Intrusion Detection Systems based on Sequential Machine Learning","authors":"A. Venturi, Claudio Zanasi, Mirco Marchetti, M. Colajanni","doi":"10.1109/NCA57778.2022.10013643","DOIUrl":"https://doi.org/10.1109/NCA57778.2022.10013643","url":null,"abstract":"The rise of sequential Machine Learning (ML) methods has paved the way for a new generation of Network Intrusion Detection Systems (NIDS) which base their classification on the temporal patterns exhibited by malicious traffic. Previous work presents successful algorithms in this field, but just a few attempts try to assess their robustness in real-world contexts. In this paper, we aim to fill this gap by presenting a novel evaluation methodology. In particular, we propose a new time-based adversarial attack in which we simulate a delay in the malicious communications that changes the arrangement of the samples in the test set. Moreover, we design an innovative evaluation technique simulating a worst-case training scenario in which the last portion of the training set does not include any malicious flow. Through them, we can evaluate how much sequential ML-based NIDS are sensible to modifications that an adaptive attacker might apply at temporal level, and we can verify their robustness to the unpredictable traffic produced by modern networks. Our experimental campaign validates our proposal against a recent NIDS trained on a public dataset for botnet detection. The results demonstrate its high resistance to temporal adversarial attacks, but also a drastic performance drop when even just 1% of benign flows are injected at the end of the training set. Our findings raise questions about the reliable deployment of sequential ML-NIDS in practice, and at the same time can guide researchers to develop more robust defensive tools in the future.","PeriodicalId":251728,"journal":{"name":"2022 IEEE 21st International Symposium on Network Computing and Applications (NCA)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121078071","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

Reinforcement Learning-based Virtual Sensors Provision in Internet of Vehicles (IoV) 基于强化学习的车联网虚拟传感器配置

2022 IEEE 21st International Symposium on Network Computing and Applications (NCA) Pub Date : 2022-12-14 DOI: 10.1109/NCA57778.2022.10013541

Slim Abbes, S. Rekhis

{"title":"Reinforcement Learning-based Virtual Sensors Provision in Internet of Vehicles (IoV)","authors":"Slim Abbes, S. Rekhis","doi":"10.1109/NCA57778.2022.10013541","DOIUrl":"https://doi.org/10.1109/NCA57778.2022.10013541","url":null,"abstract":"The Internet of Vehicles (IoV) has been recognized as a powerful application of the Internet of Things (IoT) in the Intelligent Transportation System (ITS), providing intelligence for interconnection between devices, interaction with the environment, and thus, greater efficiency in sensor data exploitation. Therefore, leveraging the huge capability of sensors embedded in vehicles to offer a Sensing As A Service (Se-aaS) represents a great solution to exploit under-used sensor resources and continue providing sensors despite their positions and mobility patterns. Nevertheless, the high network mobility and the fast topology changes in IoV impact the vehicle availability and complicate the service provision. To this aim, we propose a vehicle sensor virtualization in a Cloud IoV architecture that encompasses functional blocks of mobile sensor suppliers, Sensor Cloud Service Provider (SCSP), and service consumers. Moreover, we propose a reinforcement learning-based solution for vehicle sensor selection to predict and dynamically select the physical sensors composing the vehicle virtual sensor. The conducted simulations show the effectiveness of the proposed solution.","PeriodicalId":251728,"journal":{"name":"2022 IEEE 21st International Symposium on Network Computing and Applications (NCA)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125533080","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

Modularized and Contract-Based Prediction Models in Programmable Networks 可编程网络中的模块化和基于契约的预测模型

2022 IEEE 21st International Symposium on Network Computing and Applications (NCA) Pub Date : 2022-12-14 DOI: 10.1109/NCA57778.2022.10013517

Michel Neves, Andre Riker, J. Nobre, A. Abelém, B. Dalmazo

引用次数: 0

Bluetooth Peer-to-Peer Location Certification with a Gamified Mobile Application 蓝牙点对点位置认证与游戏化移动应用程序

2022 IEEE 21st International Symposium on Network Computing and Applications (NCA) Pub Date : 2022-12-14 DOI: 10.1109/NCA57778.2022.10013607

Ricardo Grade, Samih Eisa, M. Pardal

引用次数: 0

Comparison of Machine Learning-based anomaly detectors for Controller Area Network 基于机器学习的控制器局域网异常检测器比较

2022 IEEE 21st International Symposium on Network Computing and Applications (NCA) Pub Date : 2022-12-14 DOI: 10.1109/NCA57778.2022.10013527

A. Venturi, Dario Stabili, Francesco Pollicino, Emanuele Bianchi, Mirco Marchetti

引用次数: 1

WebDHT: browser-compatible distributed hash table for decentralized Web applications WebDHT:用于分散Web应用程序的浏览器兼容分布式哈希表

2022 IEEE 21st International Symposium on Network Computing and Applications (NCA) Pub Date : 2022-12-14 DOI: 10.1109/NCA57778.2022.10013537

L. Rossi, Luca Ferretti

{"title":"WebDHT: browser-compatible distributed hash table for decentralized Web applications","authors":"L. Rossi, Luca Ferretti","doi":"10.1109/NCA57778.2022.10013537","DOIUrl":"https://doi.org/10.1109/NCA57778.2022.10013537","url":null,"abstract":"Modern browser technologies allow running highly portable and usable complex applications. However, the inability to access all the operating system features may limit their features or performance when compared to native software in certain scenarios. We investigate the design of peer-to-peer (P2P) networks of interconnected browsers to improve applications interconnecting users, such as videotelephony, messaging and gaming. Although peer-to-peer protocols are well-established in the literature, known designs and implementations cannot be executed on browsers due to constraints of browser environments. We propose WebDHT, a webassembly library for creating P2P networks among browsers which offers topic-based peer-discovery features and integrates usable identity authentication mechanisms. WebDHT implements a variant of the Kademlia protocol based on distributed hash tables (DHT) adapted to support WebRTC protocol. WebDHT requires a native server to be available only for network bootstrap, but leverages existing browsers connected to the DHT to decentralize WebRTC signaling backends. We propose an open-source implementation and two demonstrative applications for users messaging and multimedia streaming, and analyze limitations and future work for designing better browser-compatible P2P networks.","PeriodicalId":251728,"journal":{"name":"2022 IEEE 21st International Symposium on Network Computing and Applications (NCA)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125633426","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