Privacy-Aware and Secure Decentralized Air Quality Monitoring

被引:3
|
作者
Mrissa, Michael [1 ,2 ]
Tosic, Aleksandar [1 ,2 ]
Hrovatin, Niki [1 ,2 ]
Aslam, Sidra [1 ,2 ]
David, Balazs [1 ,2 ]
Hajdu, Laszlo [1 ,2 ]
Kresz, Miklos [1 ,3 ]
Brodnik, Andrej [2 ,4 ]
Kavsek, Branko [2 ,5 ]
机构
[1] InnoRenew CoE, Livade 6, Izola 6310, Slovenia
[2] Univ Primorska, Fac Math Nat Sci & Informat Technol FAMNIT, Glagoljaska 8, Koper 6000, Slovenia
[3] Univ Primorska, Inst Andrej Marusi IAM, Muzejski Trg 2, Koper 6000, Slovenia
[4] Univ Ljubljana, Fac Comp & Informat Sci, Vecna Pot 113, Ljubljana 1000, Slovenia
[5] Jozef Stefan Inst, Jamova 39, Ljubljana 1000, Slovenia
来源
APPLIED SCIENCES-BASEL | 2022年 / 12卷 / 04期
关键词
air quality monitoring; privacy; security; edge; decentralization; PRESERVING DATA AGGREGATION; CONCEALED DATA AGGREGATION; WIRELESS SENSOR NETWORKS; CHALLENGES; ALGORITHMS;
D O I
10.3390/app12042147
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Indoor Air Quality monitoring is a major asset to improving quality of life and building management. Today, the evolution of embedded technologies allows the implementation of such monitoring on the edge of the network. However, several concerns need to be addressed related to data security and privacy, routing and sink placement optimization, protection from external monitoring, and distributed data mining. In this paper, we describe an integrated framework that features distributed storage, blockchain-based Role-based Access Control, onion routing, routing and sink placement optimization, and distributed data mining to answer these concerns. We describe the organization of our contribution and show its relevance with simulations and experiments over a set of use cases.
引用
收藏
页数:22
相关论文
共 50 条
  • [31] Decentralized Federated Recommendation with Privacy-aware Structured Client-level Graph
    Li, Zhitao
    Lin, Zhaohao
    Liang, Feng
    Pan, Weike
    Yang, Qiang
    Ming, Zhong
    ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2024, 15 (04)
  • [32] A privacy-aware access control model for distributed network monitoring
    Papagiannakopoulou, Eugenia I.
    Koukovini, Maria N.
    Lioudakis, Georgios V.
    Garcia-Alfaro, Joaquin
    Kaklamani, Dimitra I.
    Venieris, Iakovos S.
    Cuppens, Frederic
    Cuppens-Boulahia, Nora
    COMPUTERS & ELECTRICAL ENGINEERING, 2013, 39 (07) : 2263 - 2281
  • [33] A testbed evaluation for a privacy-aware monitoring system in smart home
    Shirali, Mohsen
    Sharafi, Masoumeh
    Ghassemian, Mona
    Fotouhi-Ghazvini, Faranak
    2018 IEEE GLOBAL HUMANITARIAN TECHNOLOGY CONFERENCE (GHTC), 2018,
  • [34] TremorTrack: A Privacy-Aware Solution for Monitoring Parkinsonian and Essential Tremors
    Bartlett, Christopher
    Miles, Joseph
    Qamar, Nafees
    Martinez, Lazaro
    Manno, Dominick
    2020 IEEE 33RD INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS(CBMS 2020), 2020, : 392 - 396
  • [35] A View-Based Monitoring for Privacy-Aware Web Services
    Meziane, Hassina
    Benbernou, Salima
    Zerdali, Aouda K.
    Hacid, Mohand-Said
    Papazoglou, Mike
    26TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING ICDE 2010, 2010, : 1129 - 1132
  • [36] Privacy-Aware Kalman Filtering
    Song, Yang
    Wang, Chong Xiao
    Tay, Wee Peng
    2018 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2018, : 4434 - 4438
  • [37] Privacy-Aware QoE Evaluation
    Zhou, Liang
    Wei, Xin
    Cui, Jingwu
    Zheng, Baoyu
    2017 IEEE 85TH VEHICULAR TECHNOLOGY CONFERENCE (VTC SPRING), 2017,
  • [38] On privacy-aware eScience workflows
    Belhajjame, Khalid
    Faci, Noura
    Maamar, Zakaria
    Buregio, Vanilson
    Soares, Edvan
    Barhamgi, Mahmoud
    COMPUTING, 2020, 102 (05) : 1171 - 1185
  • [39] Towards Privacy-Aware Keyboards
    Buza, Krisztian
    Kis, Piroska B.
    PROCEEDINGS OF THE 10TH INTERNATIONAL CONFERENCE ON COMPUTER RECOGNITION SYSTEMS CORES 2017, 2018, 578 : 140 - 147
  • [40] Privacy-Aware Guessing Efficiency
    Asoodeh, Shahab
    Diaz, Mario
    Alajaji, Fady
    Linder, Tams
    2017 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT), 2017, : 754 - 758