Securing Big Data from Eavesdropping Attacks in SCADA/ICS Network Data Streams through Impulsive Statistical Fingerprinting

Springer Nature LNICST Series, Vol. 285, Online ISBN: 978-3-030-23942-8, Print ISBN: 978-3-030-23943-5, Series Print ISSN: 1867-8211, Series Online ISSN: 1867-822X, DOI: 10.1007/978-3-030-23943-5_1, pp. 77-89, August 2019

13 Pages Posted: 10 Sep 2019

See all articles by Junaid Chaudhry

Junaid Chaudhry

Embry-Riddle Aeronautical University - College of Security and Intelligence

Uvais Qidwai

Qatar University

Mahdi H. Miraz

Xiamen University Malaysia; Wrexham University; University of South Wales

Date Written: 2019

Abstract

While data from Supervisory Control And Data Acquisition (SCADA) systems is sent upstream, it is both the length of pulses as well as their frequency present an excellent opportunity to incorporate statistical fingerprinting. This is so, because datagrams in SCADA traffic follow a poison distribution. Although wrapping the SCADA traffic in a protective IPsec stream is an obvious choice, thin clients and unreliable communication channels make is less than ideal to use crypto-graphic solutions for security SCADA traffic. In this paper, we propose a smart alternative of data obfuscation in the form of Impulsive Statistical Fingerprinting (ISF). We provide important insights into our research in healthcare SCADA data security and the use of ISF. We substantiate the conversion of sensor data through the ISF into HL7 format and define policies of a seamless switch to a non HL7-based non-secure HIS to a secure HIS.

Keywords: Cyber Security, SCADA/ICS Networks, Healthcare SCADA Systems, Health Level Seven, Impulsive Statistical Fingerprinting, Data Obfuscation, Encryption, Context-aware Security, IEEE 11073

Suggested Citation

Chaudhry, Junaid and Qidwai, Uvais and Miraz, Mahdi H., Securing Big Data from Eavesdropping Attacks in SCADA/ICS Network Data Streams through Impulsive Statistical Fingerprinting (2019). Springer Nature LNICST Series, Vol. 285, Online ISBN: 978-3-030-23942-8, Print ISBN: 978-3-030-23943-5, Series Print ISSN: 1867-8211, Series Online ISSN: 1867-822X, DOI: 10.1007/978-3-030-23943-5_1, pp. 77-89, August 2019, Available at SSRN: https://ssrn.com/abstract=3446474

Junaid Chaudhry

Embry-Riddle Aeronautical University - College of Security and Intelligence ( email )

FL
United States

Uvais Qidwai

Qatar University ( email )

College of Law
Qatar University
Doha, 2713
Qatar

Mahdi H. Miraz (Contact Author)

Xiamen University Malaysia ( email )

Malaysia

Wrexham University ( email )

Mold Rd.
Wrexham, LL11 2AW
United Kingdom

HOME PAGE: http://mahdimiraz.theiaer.org/

University of South Wales ( email )

Caerleon Campus
Lodge Road
Pontypridd, Wales CF37 1DL
United Kingdom

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