Balakrishnan P

Department of Analytics

School of Computer Science and Engineering

Vellore Campus

Madhawa S

Arumugam U.

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

Employing invariants for anomaly detection in software defined networking based industrial internet of things

Journal of Intelligent & Fuzzy Systems

Operational Technology (OT) often refers to the industrial control systems which are used to monitor and control the devices and processes of critical infrastructure like,water treatment plant, power grid and sewage systems. Conventionally, these OT systems are completely isolated from Information Technology (IT) infrastructure to protect their processes and devices against cyber-Attacks. However, the convergence of IT and OT is inevitable to improvise the remote management of physical devices and to enhance the production by incorporating data-driven decision making by accessing and analyzing their real-Time data. To achieve this, the isolated OT systems and devices need to be accessed using Internet. However, this interconnection leads both the sensor and control data of OT systems vulnerable to cyber-Attacks. This research work extends our previous intrusion detection system that identifies anomalies which are deviated from process-invariants in secured water treatment (SWaT) test-bed data obtained from Singapore University of Technology and Design (SUTD). Additionally, it proposes process-invariants based timed automata wherein the attack and its detection model are represented as timed automata. The proposed system is implemented and validated using UPPAAL, a tool for validating real-Time systems represented as networks of timed automata. The results conclude that the proposed system effectively identifies the attacks considered thereby recommending the timed automata as an operational tool for detecting the data-integrity attacks in critical infrastructures. The highly reported attacks that include level indicators, motorized valves, pressure indicators and analyzer indicators are detected successfully by the proposed system. Using the results, Stage 1 and Stage 3 are highly vulnerable. © 2019 - IOS Press and the authors.

Intrusion detection system using timed automata for cyber physical systems

Computing in Communication Networks

Mininet: an instant virtual network on your computer

Journal of Intelligent Manufacturing

Detecting cyber-physical attacks in CyberManufacturing systems with machine learning methods

Computers & Security

An enhanced optimization based algorithm for intrusion detection in SCADA network

Framework for cyber-physical systems: volume 2, working group reports

Critical Information Infrastructures Security Lecture Notes in Computer Science

A Dataset to Support Research in the Design of Secure Water Treatment Systems

Journal	Journal of Intelligent & Fuzzy Systems
Publisher	IOS Press
ISSN	1064-1246
Open Access	0