research-article

Reputation-Based Security System For Edge Computing

Authors:

Francis N. Nwebonyi,

Rolando Martins,

Manuel E. CorreiaAuthors Info & Claims

ARES '18: Proceedings of the 13th International Conference on Availability, Reliability and Security

Article No.: 39, Pages 1 - 8

https://doi.org/10.1145/3230833.3232819

Published: 27 August 2018 Publication History

Abstract

Given the centralized architecture of cloud computing, there is a genuine concern about its ability to adequately cope with the demands of connecting devices which are sharply increasing in number and capacity. This has led to the emergence of edge computing technologies, including but not limited to mobile edge-clouds. As a branch of Peer-to-Peer (P2P) networks, mobile edge-clouds inherits disturbing security concerns which have not been adequately addressed in previous methods. P2P security systems have featured many trust-based methods owing to their suitability and cost advantage, but these approaches still lack in a number of ways. They mostly focus on protecting client nodes from malicious service providers, but downplay the security of service provider nodes, thereby creating potential loopholes for bandwidth attack. Similarly, trust bootstrapping is often via default scores, or based on heuristics that does not reflect the identity of a newcomer. This work has patched these inherent loopholes and improved fairness among participating peers. The use cases of mobile edge-clouds have been particularly considered and a scalable reputation based security mechanism was derived to suit them. BitTorrent protocol was modified to form a suitable test bed, using Peersim simulator. The proposed method was compared to some related methods in the literature through detailed simulations. Results show that the new method can foster trust and significantly improve network security, in comparison to previous similar systems.

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Cited By

Saleh RDriss MAlmomani I(2022)CBiLSTM: A Hybrid Deep Learning Model for Efficient Reputation Assessment of Cloud ServicesIEEE Access10.1109/ACCESS.2022.316324610(35321-35335)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3163246
Tu ZZhou HLi KSong HYang Y(2022)A Blockchain-based Trust and Reputation Model with Dynamic Evaluation Mechanism for IoTComputer Networks10.1016/j.comnet.2022.109404218(109404)Online publication date: Dec-2022
https://doi.org/10.1016/j.comnet.2022.109404
Mahadevappa PMurugesan R(2022)Review of Data Integrity Attacks and Mitigation Methods in Edge ComputingAdvances in Cyber Security10.1007/978-981-16-8059-5_31(505-514)Online publication date: 1-Jan-2022
https://doi.org/10.1007/978-981-16-8059-5_31
Show More Cited By

Index Terms

Reputation-Based Security System For Edge Computing
1. Networks
  1. Network protocols
    1. Application layer protocols
      1. Peer-to-peer protocols
2. Security and privacy
  1. Formal methods and theory of security
    1. Trust frameworks
  2. Network security
    1. Mobile and wireless security
    2. Security protocols

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ARES '18: Proceedings of the 13th International Conference on Availability, Reliability and Security

August 2018

603 pages

ISBN:9781450364485

DOI:10.1145/3230833

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Universität Hamburg: Universität Hamburg

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 August 2018

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ARES 2018

ARES 2018: International Conference on Availability, Reliability and Security

August 27 - 30, 2018

Hamburg, Germany

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ARES '18 Paper Acceptance Rate 128 of 260 submissions, 49%;

Overall Acceptance Rate 228 of 451 submissions, 51%

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Cited By

Saleh RDriss MAlmomani I(2022)CBiLSTM: A Hybrid Deep Learning Model for Efficient Reputation Assessment of Cloud ServicesIEEE Access10.1109/ACCESS.2022.316324610(35321-35335)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3163246
Tu ZZhou HLi KSong HYang Y(2022)A Blockchain-based Trust and Reputation Model with Dynamic Evaluation Mechanism for IoTComputer Networks10.1016/j.comnet.2022.109404218(109404)Online publication date: Dec-2022
https://doi.org/10.1016/j.comnet.2022.109404
Mahadevappa PMurugesan R(2022)Review of Data Integrity Attacks and Mitigation Methods in Edge ComputingAdvances in Cyber Security10.1007/978-981-16-8059-5_31(505-514)Online publication date: 1-Jan-2022
https://doi.org/10.1007/978-981-16-8059-5_31
Yahuza MIdris MWahab AHo AKhan SMusa STaha A(2020)Systematic Review on Security and Privacy Requirements in Edge Computing: State of the Art and Future Research OpportunitiesIEEE Access10.1109/ACCESS.2020.29894568(76541-76567)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.2989456
Rasool SIqbal MDagiuklas TUl-Qayyum ZLi S(2020)Reliable Data Analysis through Blockchain based Crowdsourcing in Mobile Ad-hoc CloudMobile Networks and Applications10.1007/s11036-019-01221-x25:1(153-163)Online publication date: 1-Feb-2020
https://dl.acm.org/doi/10.1007/s11036-019-01221-x
Nwebonyi FMartins RCorreia M(2019)Security and Fairness in IoT Based e-Health System: A Case Study of Mobile Edge-Clouds2019 International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)10.1109/WiMOB.2019.8923141(318-323)Online publication date: Oct-2019
https://doi.org/10.1109/WiMOB.2019.8923141

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