Design and Evaluation of Resilient Infrastructures Systems for Smart Cities

被引:0
|
作者
Pacheco, Jesus [1 ]
Tunc, Cihan [1 ]
Hariri, Salim [1 ]
机构
[1] Univ Arizona, Elect & Comp Engn Dept, Tucson, AZ 85721 USA
基金
美国国家科学基金会;
关键词
Internet of Things; Smart City; Critical Infrastructures; Cloud Computing; Cybersecurity; Resiliency;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Cities are rapidly converging toward digital technologies in order to provide advanced information services, efficient management, and resource utilization that will positively impact all aspects of our life and economy. This has led to the proliferation of ubiquitous connectivity to critical infrastructures (electrical grid, utility networks, finance, etc.) that are used to deliver advanced information services to homes, businesses, and government. On the other hand, such smart systems are more complex, dynamic, heterogeneous, and have many vulnerabilities that can be exploited by cyberattacks. Protecting and securing the resources and services of smart cities become critically important due to the disruptive or even potentially life-threatening nature of a failure or attack on smart cities' infrastructures. In this paper we present a resilient architecture that protects smart cities' communications, controls, and computations based on autonomic computing and Moving Target Defense (MTD) techniques. The key idea to achieve resiliency is based on making it extremely difficult for the attackers to figure out the current active execution environments used to run smart city services by randomizing the use of these resources at runtime. We have evaluated and validated our approach by applying a wide range of attacks against our smart infrastructures testbed and demonstrated that the provided services can tolerate with little overhead these attacks.
引用
收藏
页码:139 / 144
页数:6
相关论文
共 50 条
  • [41] Design and Implementation of Smart Vehicles for Smart Cities
    Sheeba, P. S.
    Sah, Kanhaiya Kumar
    Chavan, Snehal
    Pawar, Rushabh
    Chand, Megha
    [J]. SUSTAINABLE COMMUNICATION NETWORKS AND APPLICATION, ICSCN 2019, 2020, 39 : 598 - 603
  • [42] iFace: A Deepfake Resilient Digital Identification Framework for Smart Cities
    Mitra, Alakananda
    Mohanty, Saraju P.
    Corcoran, Peter
    Kougianos, Elias
    [J]. 2021 IEEE INTERNATIONAL SYMPOSIUM ON SMART ELECTRONIC SYSTEMS (ISES 2021), 2021, : 361 - 366
  • [43] The Resilient Smart City Model-Proposal for Polish Cities
    Baran, Malgorzata
    Klos, Monika
    Chodorek, Monika
    Marchlewska-Patyk, Karolina
    [J]. ENERGIES, 2022, 15 (05)
  • [44] Sustainable and Reliable Information and Communication Technology for Resilient Smart Cities
    Tcholtchev, Nikolay
    Schieferdecker, Ina
    [J]. SMART CITIES, 2021, 4 (01): : 156 - 176
  • [45] Distributed load balancing for heterogeneous fog computing infrastructures in smart cities
    Beraldi, Roberto
    Canali, Claudia
    Lancellotti, Riccardo
    Mattia, Gabriele Proietti
    [J]. PERVASIVE AND MOBILE COMPUTING, 2020, 67
  • [46] SMART CITIES: RESEARCHES, PROJECTS AND GOOD PRACTICES FOR INFRASTRUCTURES EDITORIAL PREFACE
    Papa, Rocco
    [J]. TEMA-JOURNAL OF LAND USE MOBILITY AND ENVIRONMENT, 2013, 6 (03) : 291 - 292
  • [47] Design and Evaluation of Jamming Resilient Cyber-Physical Systems
    Tomic, Ivana
    Breza, Michael J.
    Jackson, Greg
    Bhatia, Laksh
    McCann, Julie A.
    [J]. IEEE 2018 INTERNATIONAL CONGRESS ON CYBERMATICS / 2018 IEEE CONFERENCES ON INTERNET OF THINGS, GREEN COMPUTING AND COMMUNICATIONS, CYBER, PHYSICAL AND SOCIAL COMPUTING, SMART DATA, BLOCKCHAIN, COMPUTER AND INFORMATION TECHNOLOGY, 2018, : 687 - 694
  • [48] Contactless Technologies for Smart Cities: Big Data, IoT, and Cloud Infrastructures
    Manimuthu A.
    Dharshini V.
    Zografopoulos I.
    Priyan M.K.
    Konstantinou C.
    [J]. SN Computer Science, 2021, 2 (4)
  • [49] An energy-aware algorithm for electric vehicle infrastructures in smart cities
    Palanca, Javier
    Jordan, Jaume
    Bajo, Javier
    Botti, Vicent
    [J]. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2020, 108 : 454 - 466
  • [50] A Quantitative Approach to the Design and Analysis of Collective Adaptive Systems for Smart Cities
    ter Beek, Maurice
    Bortolussi, Luca
    Ciancia, Vincenzo
    Gnesi, Stefania
    Hillston, Jane
    Latella, Diego
    Massink, Mieke
    [J]. ERCIM NEWS, 2014, (98): : 32 - 32