2021 IEEE Symposium on Computers and Communications (ISCC)最新文献_第7页

Scalable QoS-Aware Multicast for SVC Streams in Software-Defined Networks 软件定义网络中SVC流的可扩展qos感知组播

2021 IEEE Symposium on Computers and Communications (ISCC) Pub Date : 2021-09-05 DOI: 10.1109/ISCC53001.2021.9631505

Jie Cui, Lingbiao Kong, Hong Zhong, Xiuwen Sun, Chengjie Gu, Jianfeng Ma

引用次数: 0

ISCC 2021 Conference Program ISCC 2021会议计划

2021 IEEE Symposium on Computers and Communications (ISCC) Pub Date : 2021-09-05 DOI: 10.1109/ISCC53001.2021.9631488

引用次数: 0

BS-Net: A Behavior Sequence Network for Insider Threat Detection BS-Net:用于内部威胁检测的行为序列网络

2021 IEEE Symposium on Computers and Communications (ISCC) Pub Date : 2021-09-05 DOI: 10.1109/ISCC53001.2021.9631445

Dali Zhu, Hongju Sun, Nan Li, Baoxin Mi, Tong Xi

{"title":"BS-Net: A Behavior Sequence Network for Insider Threat Detection","authors":"Dali Zhu, Hongju Sun, Nan Li, Baoxin Mi, Tong Xi","doi":"10.1109/ISCC53001.2021.9631445","DOIUrl":"https://doi.org/10.1109/ISCC53001.2021.9631445","url":null,"abstract":"In view of the concealment and destructiveness of insider threats, to detect insider threats is very important for protecting the security of enterprises and organizations. However, it is still a challenge to design a practical detection scheme which can accurately mine abnormal clues and has a high level of automation. In this paper, we propose the Behavior Sequence Network (BS-Net) which applies the one-class support vector machine and the recurrent neural network to the insider threat detection problem. The BS-Net is a detection framework based on user behavior portrait that learns representative features from the raw log data and then makes discrimination by a unified standard. Through a flow sequence division method, the original data flow is divided into short sequences. After behavior feature extraction and sequence matching, behavior sequences are sent into two anomaly detection models to analyze the occurrence possibility of behaviors from local detail features and the global dependence relationship between businesses respectively. We conduct experiments based on the CERT dataset and the results show that BS-Net achieves an excellent performance (recall rate of 0.94, accuracy of 0.94, and FPR of 0.12) and outperforms the state-of-the-art methods.","PeriodicalId":270786,"journal":{"name":"2021 IEEE Symposium on Computers and Communications (ISCC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114365328","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

Context-Dependent Services Selection in Smart Environments 智能环境中上下文相关的服务选择

2021 IEEE Symposium on Computers and Communications (ISCC) Pub Date : 2021-09-05 DOI: 10.1109/ISCC53001.2021.9631437

Daniel Flores-Martín, J. García-Alonso, J. Berrocal, L. Foschini, J. Rodríguez

引用次数: 0

UrbanVG: A Gamification Encouraging Urban Vegetable Garden Platform UrbanVG:一个鼓励游戏化的城市菜园平台

2021 IEEE Symposium on Computers and Communications (ISCC) Pub Date : 2021-09-05 DOI: 10.1109/ISCC53001.2021.9631525

Mateus T. Kawazoe, André G. Lauer, N. B. F. Silva

引用次数: 1

firm VulSeeker: BERT and Siamese based Vulnerability for Embedded Device Firmware Images 公司VulSeeker: BERT和基于Siamese的嵌入式设备固件映像漏洞

2021 IEEE Symposium on Computers and Communications (ISCC) Pub Date : 2021-09-05 DOI: 10.1109/ISCC53001.2021.9631481

Yingchao Yu, Shuitao Gan, Xiaojun Qin

引用次数: 1

Towards a Peer-to-Peer Federated Machine Learning Environment for Continuous Authentication 面向连续认证的点对点联邦机器学习环境

2021 IEEE Symposium on Computers and Communications (ISCC) Pub Date : 2021-09-05 DOI: 10.1109/ISCC53001.2021.9631491

David Monschein, José Antonio Peregrina Pérez, Tim Piotrowski, Zoltán Nochta, O. P. Waldhorst, Christian Zirpins

{"title":"Towards a Peer-to-Peer Federated Machine Learning Environment for Continuous Authentication","authors":"David Monschein, José Antonio Peregrina Pérez, Tim Piotrowski, Zoltán Nochta, O. P. Waldhorst, Christian Zirpins","doi":"10.1109/ISCC53001.2021.9631491","DOIUrl":"https://doi.org/10.1109/ISCC53001.2021.9631491","url":null,"abstract":"The in-depth consideration of security aspects in modern web infrastructures has become essential to stay competitive. In this context, continuous authentication is a promising approach to prevent the misuse of digital identities. To this end, machine learning (ML) models are well suited to analyze user behavior and to detect anomalies, due to their ability to identify complex patterns and trends that usually cannot be reflected by static rule-based approaches. However, the training of powerful ML models requires large amounts of data, which are often not available within a single organization. Consequently, a federated training of these models by cooperating organizations offers a promising solution, but leads to concerns about coordination, regulations, and quality assurance. To tackle these challenges, we present an approach that combines three research areas: (1) the establishment of continuous user authentication based on (2) a ML model trained by an organized peer-to-peer federation involving different organizations that is underpinned by (3) federated data governance ensuring regulatory compliance and quality of resulting artefacts.","PeriodicalId":270786,"journal":{"name":"2021 IEEE Symposium on Computers and Communications (ISCC)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134277794","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

A FHIR based architecture of a multiprotocol IoT Home Gateway supporting dynamic plug of new devices within instrumented environments 一种基于FHIR的多协议物联网家庭网关架构，支持在仪器化环境中动态插入新设备

2021 IEEE Symposium on Computers and Communications (ISCC) Pub Date : 2021-09-05 DOI: 10.1109/ISCC53001.2021.9631446

Paolo Zampognaro, Giovanni Paragliola, Vincenzo Falanga

{"title":"A FHIR based architecture of a multiprotocol IoT Home Gateway supporting dynamic plug of new devices within instrumented environments","authors":"Paolo Zampognaro, Giovanni Paragliola, Vincenzo Falanga","doi":"10.1109/ISCC53001.2021.9631446","DOIUrl":"https://doi.org/10.1109/ISCC53001.2021.9631446","url":null,"abstract":"Internet of Things (IoT) technologies have become a milestone advancement in the digital healthcare domain, since the number of IoT medical devices is grown exponentially, and it is now anticipated that by 2020 there will be over 161 million of them connected worldwide. Therefore, in an era of continuous growth, IoT healthcare faces various challenges, such as the collection over multiple protocols (e.g, Bluetooth, MQTT, CoAP, ZigBEE etc.) the interpretation, as well as the harmonization of the data format that derive from the existing huge amounts of heterogeneous IoT medical devices. In this respect this study aims at proposing an advanced Home Gateway architecture that offers a unique data collection module, supporting direct data acquisition over multiple protocols (i.e. BLE, MQTT) and indirect data retrieval from cloud health services (i.e, GoogleFit). Moreover the solution propose a mechanism to automatically convert the original data format, carried over BLE, in HL7 FHIR by exploiting device capabilities semantic annotation implemented by means of FHIR resource as well. The adoption of such annotation enables the dynamic plug of new sensors within the instrumented environment without the need to stop and adapt the gateway. This simplifies the dynamic devices landscape customization requested by the several telemedicine applications contexts (e.g. CVD, Diabetes) and demonstrate, for the first time, a concrete example of using the FHIR standard not only (as usual) for health resources representation and storage but also as instrument to enable seamless integration of IoT devices. The proposed solution also relies on mobile phone technology which is widely adopted aiming at reducing any obstacle for a larger adoption.","PeriodicalId":270786,"journal":{"name":"2021 IEEE Symposium on Computers and Communications (ISCC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133144969","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: 2

Scheduling Optimization of Charging UAV in Wireless Rechargeable Sensor Networks 无线可充电传感器网络中无人机充电调度优化

2021 IEEE Symposium on Computers and Communications (ISCC) Pub Date : 2021-09-05 DOI: 10.1109/ISCC53001.2021.9631448

Yanheng Liu, Hongyang Pan, Geng Sun, Aimin Wang

引用次数: 2

Player Assignment in MEC Gaming for Social Interactivity and Server Provisioning Optimization 基于社交交互性和服务器配置优化的MEC游戏玩家分配

2021 IEEE Symposium on Computers and Communications (ISCC) Pub Date : 2021-09-05 DOI: 10.1109/ISCC53001.2021.9631480

Athanasios Tsipis, K. Oikonomou

{"title":"Player Assignment in MEC Gaming for Social Interactivity and Server Provisioning Optimization","authors":"Athanasios Tsipis, K. Oikonomou","doi":"10.1109/ISCC53001.2021.9631480","DOIUrl":"https://doi.org/10.1109/ISCC53001.2021.9631480","url":null,"abstract":"In Mobile Edge Computing (MEC), edge servers are deployed on Base Stations (BSs) to provide high accessibility to nearby users, alleviating the computational burden of the remote cloud and significantly reducing network delays. Still, for distributed interactive applications (DIAs), such as cloud games, where players team up and form social communities, one fundamental challenge is the discovery of the most suitable player-to-server assignment, that achieves a balanced tradeoff between low-delay social interactivity and low-cost server provisioning, under strict proximity and capacity constraints. In this paper, we formally model the problem via mixed-integer linear programming. However, its solution is complex falling under the category of existing capacitated facility location problems. Thus, we present the “Interactivity-based Edge Server Allocation” (IESA) algorithm, a novel heuristic approach to efficiently assign and then iteratively improve the player-to-server allocation. IESA is evaluated using trace-driven simulations that demonstrate how it outperforms the baseline and state-of-the-art assignment alternatives.","PeriodicalId":270786,"journal":{"name":"2021 IEEE Symposium on Computers and Communications (ISCC)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123544434","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: 2