Private matching and set intersection computation in multi-agent and industrial control systems

Amar Rasheed; A. Kenneth; Rabi Mahapatra; Deepak Puthal

doi:10.1145/3064814.3064817

Private matching and set intersection computation in multi-agent and industrial control systems

Amar Rasheed
, A. Kenneth
, Rabi Mahapatra
, Deepak Puthal

Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

Distributed autonomous systems that rely on dataset matching and set intersection computation for decision making capabilities are vulnerable to datasets poisoning attacks. Among these systems, Industrial Control Systems (ICS) operating on critical infrastructures. Attacker with a compromised Programmable Logic Controllers (PLCs) can take advantage of the PLC-to-PLC information sharing process to construct and inject anomalous data that target the result of dataset matching and set intersection computation and hence bring the process operations into unstable state. We introduce a protocol that utilizes secure hamming distance computation from oblivious transfer to compute a joint set between two system's agents that hold private input datasets of length n. The proposed protocol achieves full security in the semi-honest model.

Original language	British English
Title of host publication	Proceedings of the 12th Annual Cyber and Information Security Research Conference, CISRC 2017
ISBN (Electronic)	9781450348553
DOIs	https://doi.org/10.1145/3064814.3064817
State	Published - 4 Apr 2017
Event	12th Annual Cyber and Information Security Research Conference, CISRC 2017 - Oak Ridge, United States Duration: 4 Apr 2017 → 6 Apr 2017

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	12th Annual Cyber and Information Security Research Conference, CISRC 2017
Country/Territory	United States
City	Oak Ridge
Period	4/04/17 → 6/04/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Hamming distance
Oblivious transfer
Private matching
SCADA

Access to Document

10.1145/3064814.3064817

OpenUrl availability

Full text

Cite this

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title = "Private matching and set intersection computation in multi-agent and industrial control systems",

abstract = "Distributed autonomous systems that rely on dataset matching and set intersection computation for decision making capabilities are vulnerable to datasets poisoning attacks. Among these systems, Industrial Control Systems (ICS) operating on critical infrastructures. Attacker with a compromised Programmable Logic Controllers (PLCs) can take advantage of the PLC-to-PLC information sharing process to construct and inject anomalous data that target the result of dataset matching and set intersection computation and hence bring the process operations into unstable state. We introduce a protocol that utilizes secure hamming distance computation from oblivious transfer to compute a joint set between two system's agents that hold private input datasets of length n. The proposed protocol achieves full security in the semi-honest model.",

keywords = "Hamming distance, Oblivious transfer, Private matching, SCADA",

author = "Amar Rasheed and A. Kenneth and Rabi Mahapatra and Deepak Puthal",

note = "Publisher Copyright: {\textcopyright} 2017 ACM.; 12th Annual Cyber and Information Security Research Conference, CISRC 2017 ; Conference date: 04-04-2017 Through 06-04-2017",

year = "2017",

month = apr,

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doi = "10.1145/3064814.3064817",

language = "British English",

series = "ACM International Conference Proceeding Series",

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Rasheed, A, Kenneth, A, Mahapatra, R & Puthal, D 2017, Private matching and set intersection computation in multi-agent and industrial control systems. in Proceedings of the 12th Annual Cyber and Information Security Research Conference, CISRC 2017., a14, ACM International Conference Proceeding Series, 12th Annual Cyber and Information Security Research Conference, CISRC 2017, Oak Ridge, United States, 4/04/17. https://doi.org/10.1145/3064814.3064817

Private matching and set intersection computation in multi-agent and industrial control systems. / Rasheed, Amar; Kenneth, A.; Mahapatra, Rabi et al.
Proceedings of the 12th Annual Cyber and Information Security Research Conference, CISRC 2017. 2017. a14 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Private matching and set intersection computation in multi-agent and industrial control systems

AU - Rasheed, Amar

AU - Kenneth, A.

AU - Mahapatra, Rabi

AU - Puthal, Deepak

PY - 2017/4/4

Y1 - 2017/4/4

N2 - Distributed autonomous systems that rely on dataset matching and set intersection computation for decision making capabilities are vulnerable to datasets poisoning attacks. Among these systems, Industrial Control Systems (ICS) operating on critical infrastructures. Attacker with a compromised Programmable Logic Controllers (PLCs) can take advantage of the PLC-to-PLC information sharing process to construct and inject anomalous data that target the result of dataset matching and set intersection computation and hence bring the process operations into unstable state. We introduce a protocol that utilizes secure hamming distance computation from oblivious transfer to compute a joint set between two system's agents that hold private input datasets of length n. The proposed protocol achieves full security in the semi-honest model.

AB - Distributed autonomous systems that rely on dataset matching and set intersection computation for decision making capabilities are vulnerable to datasets poisoning attacks. Among these systems, Industrial Control Systems (ICS) operating on critical infrastructures. Attacker with a compromised Programmable Logic Controllers (PLCs) can take advantage of the PLC-to-PLC information sharing process to construct and inject anomalous data that target the result of dataset matching and set intersection computation and hence bring the process operations into unstable state. We introduce a protocol that utilizes secure hamming distance computation from oblivious transfer to compute a joint set between two system's agents that hold private input datasets of length n. The proposed protocol achieves full security in the semi-honest model.

KW - Hamming distance

KW - Oblivious transfer

KW - Private matching

KW - SCADA

UR - https://www.scopus.com/pages/publications/85018285065

U2 - 10.1145/3064814.3064817

DO - 10.1145/3064814.3064817

M3 - Conference contribution

AN - SCOPUS:85018285065

T3 - ACM International Conference Proceeding Series

BT - Proceedings of the 12th Annual Cyber and Information Security Research Conference, CISRC 2017

T2 - 12th Annual Cyber and Information Security Research Conference, CISRC 2017

Y2 - 4 April 2017 through 6 April 2017

ER -

Private matching and set intersection computation in multi-agent and industrial control systems

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

OpenUrl availability

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