The document describes a new MSc course in Cyber-Secure Manufacturing being offered at Cranfield University. The course aims to develop the next generation of manufacturing engineers able to protect manufacturing systems, machines, and data from cyber threats. It will provide students with skills in IoT, big data, cloud computing, and cybersecurity to identify threats, protect systems from attacks, and assess security solutions for manufacturing. The one-year course consists of taught modules, a group project, and an individual thesis project.

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www.cranfield.ac.uk
New MSc Course in Cyber-
Secure Manufacturing
www.cranfield.ac.uk/csm
Hongmei He
h.he@cranfield.ac.uk
08 Nov. 2016

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Outline
1. Motivation
2. Aim and Objectives of the MSc Course
3. Course Vision and Structure
4. Modules and Course Team
5. Demands of job markets

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A blast furnace at a German steel mill suffered "massive damage" following a cyber
attack on the plant's network
Motivation

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Motivation
FY 2014 Incidents Reported by Sectors (245 total)

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Security Challenges in IoT Enabled Manufacturing
Motivation
 Big Data and Data Protection
IBM estimated that the number of connected devices will increase to 40 billion by 2020. A
huge number of connected devices (including sensors) will produce huge amount of data.
(1) Data driven cyber security
(2) Critical parameter protection in industry systems
(3) Secure data transmission
 Security of Cyber-Physical Systems
(1) Mobile security for mobile accessing to industry systems
(2) Process protection and IoT security
(3) Protect legitimate ICS from cyber-attacks when they are connected to the Internet, as
they are often developed for reliability and performance, not security, which leaves
the systems to predetermined adversaries.

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Aims and Objectives (UK/EU Only)
 The aim -- to develop the next generation of manufacturing engineers who are able to protect
manufacturing systems, machines and data against cyber threats.
 Objectives -- to enable students to use cutting-edge technologies in IoT, Big Data, Cloud
Computing and Cybersecurity to
1) identify cyber threats in manufacturing systems from the Internet
2) protect manufacturing systems from cyber attacks
3) improve incident response and disaster recovery in manufacturing systems.
4) assess the cost of cybersecurity solutions for manufacturing systems

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The Vision of the Course Concept

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Course Structure
May - SeptOct.– Jan.
Group Project
Taught Modules Individual Thesis Project
Feb. – Apr.
Credits:
 40% Taught modules
 20% Group project
 40% Thesis project

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Short Courses Derived from the MSc Course
Associated to the MSc course (5 days)
 Secure IoT and System Architecture
 Data Mining Techniques for Cyber-Threat
Identification
 Secure Cloud Manufacturing
 Security of Machine Tool Systems
Compressed short courses (3 days):
 Big Data Analytics for Enterprises
 IoT Security for Industry

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Modules and Course Team
Course Director: Dr Hongmei He
ID Module Name Module Leader Credits
00 Induction Dr Konstantinos Salonitis 0
01 Modern Manufacturing and Security Challenges Prof Tetsuo Tomiyama 10
02 Operations Management A Professor/Reader 10
03 Secure IoT and System Architectures Dr Jörn Mehnen 10
04 Secure Cloud Manufacturing Dr Yifan Zhao and
Dr Christopher Turner
10
05 Enterprise System Engineering Dr Konstantinos Salonitis 10
06 Data Mining Technology for Cyber Threat Identification Dr Hongmei He 10
07 Security of Machine Tool Systems Dr Hongmei He 10
08 Cyber Thinking and Practice in Manufacturing Mr Jeremy Hilton (CDS)
Ms Lorraine Dodd (CDS)
10
09 Group Project (09-PT: Dissertation) Supervisors in
Academic/industry
40
10 Individual Project Supervisors in
Academic/Industry
80

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Demands of Job Markets
 Big Data: “By 2018, the United States alone could face a shortage of 140,000 to 190,000 people
with deep analytical skills as well as 1.5 million managers and analysts with the know-how to
use the analysis of big data to make effective decisions” (2016 DataJobs.com ).
 The Internet of Things market size is estimated to grow from USD 157.05 Billion in 2016 to
USD 661.74 Billion by 2021, at a Compound Annual Growth Rate (CAGR) of 33.3% from 2016
to 2021. (www.marketsandmarkets.com, Apr 2016)
 The Cyber Security market size is estimated to grow from USD 122.45 Billion in 2016 to USD
202.36 Billion by 2021, at a Compound Annual Growth Rate (CAGR) of 10.6% during the
forecast period. (www.marketsandmarkets.com July 2016).
 Cloud Computing: Morgan Stanley predicts Microsoft cloud products will be 30% of revenue by
2018. In 2015, Amazon Web Services (AWS) generated $7.88B in revenue with Q4 2015, up
69% over last year. Worldwide spending on public cloud services will grow at a 19.4%
compound annual growth rate (CAGR) from nearly $70B in 2015 to more than $141B in 2019.
(www.forbes.com, Mar 2016)

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Are You Ready?
Course Director: Dr Hongmei (Mary) He
Email: h.he@cranfield.ac.uk
Tel: +44 (0) 1234 75 8206
www.cranfield.ac.ukCSM