Duck Attack on Accountable Distributed Systems

被引:0
|
作者
Kumar, Amrit [1 ]
Lauradoux, Cedric [2 ]
Lafourcade, Pascal [3 ]
机构
[1] Natl Univ Singapore, Singapore, Singapore
[2] INRIA, Paris, France
[3] Univ Clermont Auvergne, Clermont Ferrand, France
关键词
Accountability; Duck attack; Secure log; Public verifiability;
D O I
10.1145/3144457.3144480
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Accountability plays a key role in dependable distributed systems. It allows to detect, isolate and churn malicious/selfish nodes that deviate from a prescribed protocol. To achieve these properties, several accountable systems use at their core cryptographic primitives that produce non-repudiable evidence of inconsistent or incorrect behavior. In this paper, we show how selfish and colluding nodes can exploit the use of cryptographic digests in accountability protocols to mount what we call a duck attack. In a duck attack, selfish and colluding nodes exploit the use of cryptographic digests to alter the transmission of messages while masquerading as honest entities. The end result is that their selfish behavior remains undetected. This undermines the security guarantees of the accountability protocols. We first discover the duck attack while analyzing PAG - a custom cryptographic protocol to build accountable systems presented at ICDCS 2016. We later discover that accountable distributed systems based on a secure log (essentially a hash-based data structure) are also vulnerable to the duck attack and apply it on AcTinG - a protocol presented at SRDS 2014. To defeat our attack, we modify the underlying secure log to have high-order dependency on the messages stored in it.
引用
收藏
页码:303 / 312
页数:10
相关论文
共 50 条
  • [31] Demonstrating Accountable-eHealth Systems
    Grunwell, Daniel
    Gajanayake, Randike
    Sahama, Tony
    2014 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2014, : 4258 - 4263
  • [32] Accountable Administration and Implementation in Operating Systems
    Zeng, Lei
    Chen, Hui
    Xiao, Yang
    2011 IEEE GLOBAL TELECOMMUNICATIONS CONFERENCE (GLOBECOM 2011), 2011,
  • [33] AccountableMR: Toward Accountable MapReduce systems
    Ulusoy, Huseyin
    Kantarcioglu, Murat
    Pattuk, Erman
    Kagal, Lalana
    PROCEEDINGS 2015 IEEE INTERNATIONAL CONFERENCE ON BIG DATA, 2015, : 451 - 460
  • [34] A Game-Theoretic Approach for Distributed Attack Mitigation in Intelligent Transportation Systems
    Halabi, Talal
    Wahab, Omar Abdel
    Zulkernine, Mohammad
    NOMS 2020 - PROCEEDINGS OF THE 2020 IEEE/IFIP NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM 2020: MANAGEMENT IN THE AGE OF SOFTWARIZATION AND ARTIFICIAL INTELLIGENCE, 2020,
  • [35] Local Identification of Sensor Attack and Distributed Resilient State Estimation for Linear Systems
    Kim, Junsoo
    Lee, Jin Gyu
    Lee, Chanhwa
    Shim, Hyungbo
    Seo, Jin H.
    2018 IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2018, : 2056 - 2061
  • [36] Assessing cyber attack vulnerabilities of distributed generation in grid-connected systems
    Maghami, Mohammad Reza
    Mutambara, Arthur Guseni Oliver
    Gomes, Chandima
    ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2025,
  • [37] Gatling: Automatic Performance Attack Discovery in Large-Scale Distributed Systems
    Lee, Hyojeong
    Seibert, Jeff
    Fistrovic, Dylan
    Killian, Charles
    Nita-Rotaru, Cristina
    ACM TRANSACTIONS ON INFORMATION AND SYSTEM SECURITY, 2015, 17 (04)
  • [38] Attack Analysis for Discrete-time Distributed Multi-Agent Systems
    Mustafa, Aquib
    Modares, Hamidreza
    2019 57TH ANNUAL ALLERTON CONFERENCE ON COMMUNICATION, CONTROL, AND COMPUTING (ALLERTON), 2019, : 230 - 237
  • [39] An attack-resilient distributed energy management strategy for integrated energy systems
    Li, Tong
    Sun, Feng
    Chen, Jian
    Wang, Lei
    Yang, Zhibin
    Liu, Ruitong
    Qi, Jun
    FRONTIERS IN ENERGY RESEARCH, 2024, 11
  • [40] Stabilization of distributed cyber physical systems subject to denial-of-service attack
    Mahmoud, Magdi S.
    Hamdan, Mutaz M.
    INTERNATIONAL JOURNAL OF CONTROL, 2022, 95 (03) : 692 - 702