Secure & innovative IT services for businesses



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cyber security
cyber security

Secure & innovative IT services for businesses

Digital forensics
Data Visualisations
Indusrty 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

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 particulal 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

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.

Predictive Maintenance in Industry 4.0

I ndustry 4.0 is collaborating directly for the technological revolution. Both machines and managers are daily confronted with decision making involving a massive input of data and customization in the manufacturing process. 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 enhancing machine downtime, costs, control, and quality of production. We observed that surveys and tutorials about Industry 4.0 focus mainly on addressing data analytics and machine learning methods to change production procedures, so not comprising predictive maintenance methods and their organization.

In this context, this article presents a systematic literature review of initiatives of predictive maintenance in Industry 4.0, identifying and cataloging methods, standards, and applications. As the main contributions, this survey discusses the current challenges and limitations in predictive maintenance, in addition to proposing a novel taxonomy to classify this research area considering the needs of the Industry 4.0. We concluded that computer science, including artificial intelligence and distributed computing fields, is more and more present in an area where engineering was the dominant expertise, so detaching the importance of a multidisciplinary approach to address Industry 4.0 effectively.

Security in Supply Chain Services

S  upply chains 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.

Artificial Intelligence in Healthcare

Security & privacy considerations

A  ugmented reality (AR) is the art of superimposing computer-generated content over a live view of the world. AR integrates digital information with the user’s environment in real time and is becoming more accessible and affordable for medical education and imaging, dentistry, and nurse training. AccuVein, VIPAR, ARnatomy, and VA-ST are among the available AR solutions for health care.