Secure & innovative IT services for businesses

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Our Research Domains

Secure & innovative IT services for businesses

Our current research interests
Predictive Maintenance in Industry 4.0
Artificial Intelligence in Healthcare
Blockchain & Digital Forensics
MultiModal Data Visualisations
Security in Supply Chain Services
security
cyber security
cyber security
Research

Secure & innovative IT services for businesses

01.
Digital forensics
02.
Data Visualisations
03.
Industry 4.0

Zelus pursues a constant enhancement of its tools with latest developments and research outcomes by monitoring relevant topics and participating to research programs. Our current research interests include cybersecurity, data visualisations and analytics, as well as monitoring dashboards in the domains of manufacturing and healthcare. Our goal is to turn research into innovative ideas for products that will eventually reach the market.

Digital Forensics and Blockchain

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Digital forensics, threat hunting and cybersecurity applicability in general, receive a great research effort due to the exploding interest of businesses and organisations to protect their IT infrastructure whether it involves private equipment and devices or even more important critical infrastructure such as health, energy or other public digitised services. Zelus pursues a constant enhancement of its tools with latest developments and research outcomes by monitoring relevant topics and participating to research programs.

Chain of custody for digital evidence is a topic of particular interest. It involves accountability of the evidence holder and full documentation and tracking of evidence passage from one party or location to another. Thus, it is of extreme importance to guarantee integrity, authenticity, and auditability of digital evidence as it moves along different levels of hierarchy in the chain of custody during cyber-crime investigation.

Blockchain technology’s capability of enabling comprehensive view of transactions (events/actions) back to origination provides enormous promise for the forensic community and current research efforts focus on how to leverage blockchain to enforce integrity and tamper resistance to digital forensics chain of custody.

MultiModal Data Visualisations

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Zelus offers innovative tools which help data practitioners in three aspects: Data collection, (Big) Data Analytics and data-driven applications. The constantly increasing amount of data generated via diverse sources, like sensors or data analytics processes, result in a vast amount of information that needs to be analysed in a quick and intuitive way in order to expose the hidden insights.

The advanced visualisation techniques that we offer explore scalable data visualisation approaches and tools that will enable easy transition from one scale to another or from one form of aggregation to another, e.g. from averages of transactions per hour to total number of transactions per department or per city/region. Moreover, real-time data analysis, interactive presentations, shareable dashboards and collaborative capabilities are key features to increase productivity among data practitioners.

Areas of interest for such solutions include Smart Cities, Manufacturing, Healthcare, Telecommunications and many more.

Predictive Maintenance in Industry 4.0

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I ndustry 4.0 has brought a new way of collaboration between machines and stakeholders in the manufacturing domain. Industrial IoT, digital twins and smart infrastructure have resulted in a massive input of data and customization in the manufacturing processes. This leaves managers confronted with daily decision making involving a huge number or parameters that are constantly fed with new data. The ability to predict the need for maintenance of assets at a specific future moment is one of the main challenges in this scope. The possibility of performing predictive maintenance contributes to minimisation of machine downtimes and costs, thus increasing efficiency of the production assets and eventually quality of the end products. 

Reseach in the area involves identification of suitable Machine learning models and methods that will manage to accurately model current manufacturing processes and assets and provide accurate predictions of their degradation potential. Other challenges towards this goal include:

  • Efficient data ingestion and management without violating standards or jeopardising privacy and security.
  • Timely performance of the prediction service.
  • Intuitive visualisation of results and reporting capabilities.

Zelus explores novel visualisation techniques on the domain and also experiments with integrated predictive maintenenance solutions utilising ML algorithms and managing the whole data lifecycle of collection, preparation, storage and visualisation.

Security in Supply Chain Services

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S  upply Chains (SCs) are all about getting customers what they need at the right price, place and time. Any disruptions and risk to the integrity of the products or services being delivered, the privacy of the data being exchanged, and the completeness of associated transactions can have damaging operational, financial and brand consequences. Data breaches, ransomware attacks and malicious activities from insiders or attackers can occur at any tier of the Supply Chain. Even a security incident localized to a single vendor or third-party supplier, can still significantly disrupt the “plan, make and deliver” process. Despite the tremendous socio-economic importance of SCs, Security officers and operators have still no easy and integrated way to protect their interconnected Critical Infrastructures (CIs) and cyber systems in the new digital era.

Trying to contribute to a unified Risk, Security, Privacy and Conformity Assessment Process in the context of CYRENE, Zelus is working on the establishment of a Security Declaration Statement that would enable business partners to reach consensus on the risk and security levels of the SC between them, as well as for proper controls and mitigation mechanisms for potential sycurity incidents. Such an agreement will strengthen the security of the SC and ensure business continuity while establishing a coordinated information sharing and vulnerability disclosure.

Artificial Intelligence for Secure Healthcare ICT

Security & privacy considerations

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C  ybersecurity attacks in healthcare ICT infrastructures form an increasing threat with potentially disastrous effects. The problem becomes more complex with today’s wider use of interconnected Medical IoT devices which increase the attack surface of the healthcare ecosystem and allow for more types of attacks to take place (data breaches, therapy manipulation, denial of service (DoS) etc.). Proper maintenance of the involved devices and software as well as monitoring mechanisms to quickly identify potential threats and mitigation measures are crucial for a secure healthcare infrastructure.

To this end, AI-enabled monitoring systems with threat hunting services, privacy-preserving mechanisms and forensic capabilities compose the defensive front against cyber attacks. Zelus is working on providing such features in its products and services in a healthcare-specific context which takes advantage of knowledge gained through our contacts in the healthcare sector and our participation to research activities in the field.