Cyber Technology Institute projects and publications

ACROSSING: Advanced Technologies and Platform for Smarter Assisted Living

Liming Chen, Feng Chen

EU Horizon2020, 10 beneficiaries, €3.88M (DMU share €980K). 01/2016-12/2019

ACROSSING is an EU Horizon2020 Marie Skłodowska-Curie European Training Network, led by the CIIR research group at DMU, in which 15 research projects will address the drastic demographic change and its impact on our society and economy. It will carry out inter/multi-disciplinary, cross-sector research to develop flexible, interoperable underlying technologies which are then applied to and evaluated in multiple real application scenarios, leading to specialized technology infrastructures and best-practice application demonstrators. In addition, the project will train young researchers to become future research leaders with strong academic-related competences, forward-thinking visions, wider perspectives, innovation mind set and extensive research networks.


Fallmann S., Chen L. (2018) Detecting Chronic Diseases from Sleep-Wake Behaviour and Clinical Features. Proceedings of the 2018 5th International Conference on Systems and Informatics, Nanjing, China, 10-12 November 2018, (in press) 

Psychoula, I., Singh, D., Chen, L., Chen, F., Holzinger, A. (2018) Users’ Privacy Concerns in IoT based Applications. In: Proceedings of IEEE International Conference on Internet of People (IoP2018), Guangzhou, China, October 2018. 

Chen, L., Fallmann, S., Lopez de Ipina, D., Pan, C., Ning, H. (2018) Context, intelligence and interactions for personalized systems. Journal of Ambient Intelligence and Humanized Computing, 9(5), pp.1557-1559. 

Psychoula, I. et al. (2018) A Deep Learning approach to Privacy Preservation in Assisted Living, Percom2018, SmartAAL workshop, Athens, March 2018. 

Fallmann, S. ; van Veen, R. ; Chen, Liming ; Walker, D. ; Chen, Feng ; Pan, C., Wearable accelerometer based extended sleep position recognition, 19th IEEE International Conference on E-health Networking, Application & Services (Healthcom 2017)

EMPHASIS: EconoMical, PsycHologicAl and Societal ImpactS of Ransomware

Eerke Boiten, Edward Cartwright, Lee Hadlington, Fenia Ferra

EPSRC, £900K across 6 sites: DMU (lead), Leeds, Kent, Newcastle, Coventry, City; 2017-2019

Ransomware is a significant cybercrime threat that is showing the potential to be exploited at scale and at high profit by organised crime. The EMPHASIS project is funded by EPSRC under the Human Dimensions of Cyber Security call, and part of the RISCS research institute. It studies the problem of ransomware from the perspectives of many disciplines: computer science, psychology, economics, law, and criminology. It aims to achieve an understanding of the crime in a technological and business sense, the victims, the perpetrators, and consequently ways to mitigate it through technical, policy, public information, and law enforcement methods.


Boiten, E. and Wall, D.S. (2017) WannaCry Report Shows NHS Chiefs Knew of Security Danger, but Management Took No Action, Scientific American & The Conversation, October 2017, 

Boiten, E. (2018) GDPR-based Extortion is a Dangerous Myth, Computing, February 2018, 

Air4ICS: Agile Incident Response For Industrial Control Systems

Helge Janicke, Richard Smith, Ying He

NCSC/RITICS, £250K plus £160K in-kind from industrial partners, 2019-2020

The aim of this research is to establish and evaluate how agile methods and techniques will be integrated into traditionally incident response processes to yield a value-focused and dynamic approach that embeds incident response in the overall business. The research will take into account changing risks and impacts during the course of an attack and maximise business utility by deriving value directly from the business processes the ICS is supporting. The main objective is to deliver an Agile Incident Response framework (AIR4ICS) that is tailored to the particular challenges of ICS to address the cyber physical nature and impacts of Incident Response.

ACTIVE: Adaptive Cyber Threat Intelligence for Security Investment Optimisation

Ying He, Iryna Yevseyeva, Helge Janicke, Eerke Boiten

InnovateUK, ~£100K, 2018-2019

Due to GDPR, all organisations have to invest into security. There are lots of security defence solutions available in the market, but how much to invest and how to distribute investment and into which resources? This InnovateUK project leading to the establishment of a product and company, ACTIVE, provides an adaptive cyber threat intelligence solution to help decision makers/CISOs to optimise security investment and resource utilisation. The product offers as its unique feature the visualization of security investment in real time and a reporting dashboard, allowing CISOs to produce reports to justify security cost. By making the security investment transparent, this product will benefit both security critical businesses, especially those dealing with critical national infrastructure (CNI), and cyber liability insurance companies.

PryMe, a Universal Framework to Measure the Strength of Privacy-enhancing Technologies

Isabel Wagner and Yuchen Zhao

EPSRC, £90K, 2017-2018

Privacy metrics are used to show how effective new privacy-enhancing technologies are, i.e. to what extent they are able to protect privacy, by measuring the amount of privacy the technologies provide. Even though many privacy metrics have been proposed, there are many studies showing their shortcomings in terms of consistency, reproducibility, and applicability in different application domains. This is an important issue because use of a weak privacy metric can lead to real-world privacy violations if the privacy metric overestimates the amount of privacy provided by a technology.

This project investigates privacy metrics for several application domains, including genomics, vehicular networks, smart metering, social network, and data publishing.


Wagner, I. (2017) Evaluating the strength of genomic privacy metrics. ACM Transactions on Privacy and Security (TOPS) 20 (1), Article 2, 

Zhao, Y. and Wagner, I. (2018) On the Strength of Privacy Metrics for Vehicular Communication, IEEE Transactions on Mobile Computing

Eckhoff, D. and Wagner, I. (2017) Privacy in the Smart City - Applications, Technologies, Challenges and Solutions. IEEE Communications Surveys & Tutorials, 20 (1), pp. 489-516 

Investigative interviewing of cybercrime victims to gain best evidence

Eerke Boiten, Fenia Ferra, Dave Walsh

Home Office/RISCS, £70K, 2019

The project sets out to study and improve techniques for interviewing of cybercrime victims, by answering the following questions:

  • How can police interactions with cybercrime victims improve and encourage their reporting of crimes?
  • How do law enforcement undertake investigative interviews with cybercrime victims? How can such interviews be improved? What training is required?
  • What are the characteristics of cybercrime victims that might positively or negatively affect their recall? How does this differ across a range of cybercrime offences?

FLOURISH: Empowerment through Trusted Secure Mobility

Francisco Aparicio Navarro, Leandros Maglaras, Helge Janicke, Eerke Boiten, Dimitris Kosmanos

InnovateUK/Airbus, 2018-2019

FLOURISH is a multi-sector collaboration, helping to advance the successful implementation of Connected and Autonomous Vehicles (CAVs) in the UK, by developing services and capabilities that link user needs and system requirements. This project seeks to develop products and services that maximise the benefits of CAVs for users and transport authorities. FLOURISH will address vulnerabilities in the technology powering CAVs, with a focus on the critical areas of cyber security and wireless communications. The Cyber Technology Institute is involved in Work Package (WP) 5.6: Anomaly detection. The purpose of this WP is to design and develop an operational AI based anomaly detection system.

Privacy Protection Research for IoT enabled Smart Healthcare Systems

Liming Chen, Raouf Hamzaoui

China NSF and UK Newton Fund, Royal Society International exchange programme, £24K, 04/2018 – 03/2020

This project investigates the nature, characteristics, computational models and algorithms for representing, measuring and assessing privacy, and how privacy-aware / privacy-friendly healthcare systems can be supported so people need not to worry about their personal or behavioural or medical information being leaked or stolen. The outcomes is expected to significantly improve the maturity and acceptability of smart healthcare technologies and systems, thus leading to improved quality of life for the ageing population. The project is undertaken jointly by combining relevant research expertise and results generated from a funded China NSFC project and the funded EU Horizon 2020 MSCA ACROSSING project.


Ning H., Shi F., Li Q., Chen L., A Novel Ontology Consistent with Acknowledged Standards in Smart Homes, Computer Networks, Vol.148, PP.101-107, January 2019

Psychoula, I., Singh, D., Chen, L., Chen, F., Holzinger, A., Ning H., (2018) Users’ Privacy Concerns in IoT based Applications. In: Proceedings of IEEE International Conference on Internet of People (IoP2018), Guangzhou, China, October 2018

Hu P., Ning H., Chen L., Daneshmand M., An Open Internet of Things System Architecture based on Software-defined Device, IEEE Internet of Things Journal, ISSN: 2327-4662, DOI: 10.1109/JIOT.2018.2872028, 2018