activity
20192026
most citedFuture developments in standardisation of cyber risk in the Internet of Things (IoT)

80 citations · 231 across the 11 of their papers we have counts for

collaborators

12 papers

cs.SE2026★ 1 cited

Execution-bound advisory automation for agentic AI: a reproducible AIBOM-driven CSAF-VEX framework

Petar Radanliev, Omar Santos, Carsten Maple +1

A protocol driven framework is presented that binds SBOM and AIBOM artefacts to deterministic environment capture and structured runtime telemetry. Exploitability is computed from…

cs.SE2026★ 1 cited

Operationalising Artificial Intelligence Bills of Materials (AIBOMs) for Verifiable AI Provenance and Lifecycle Assurance

Petar Radanliev, Omar Santos, Carsten Maple +1

Artificial Intelligence (AI) systems are increasingly dependent on complex, multi-layered software supply chains that introduce challenges for reproducibility, transparency, and se…

cs.CR2026★ 2 cited

SBOMs into Agentic AIBOMs: Schema Extensions, Agentic Orchestration, and Reproducibility Evaluation

Petar Radanliev, Carsten Maple, Omar Santos +1

Software supply-chain security requires provenance mechanisms that support reproducibility and vulnerability assessment under dynamic execution conditions. Conventional Software Bi…

cs.CY2023

Ethics and Responsible AI Deployment

Petar Radanliev, Omar Santos

As Artificial Intelligence (AI) becomes more prevalent, protecting personal privacy is a critical ethical issue that must be addressed. This article explores the need for ethical A…

cs.CY2023★ 2 cited

Red Teaming Generative AI/NLP, the BB84 quantum cryptography protocol and the NIST-approved Quantum-Resistant Cryptographic Algorithms

Petar Radanliev, David De Roure, Omar Santos

In the contemporary digital age, Quantum Computing and Artificial Intelligence (AI) convergence is reshaping the cyber landscape, introducing unprecedented opportunities and potent…

cs.CY2022★ 34 cited

Epistemological Equation for Analysing Uncontrollable States in Complex Systems: Quantifying Cyber Risks from the Internet of Things

Petar Radanliev, David De Roure, Pete Burnap +1

To enable quantitative risk assessment of uncontrollable risk states in complex and coupled IoT systems, a new epistemological equation is designed and tested though comparative an…

cs.CY2020★ 64 cited

COVID-19 what have we learned? The rise of social machines and connected devices in pandemic management following the concepts of predictive, preventive and personalised medicine

Petar Radanliev, David De Roure, Rob Walton +5

A comprehensive bibliographic review with R statistical methods of the COVID pandemic in PubMed literature and Web of Science Core Collection, supported with Google Scholar search.…

cs.CY2020★ 35 cited

Design of a dynamic and self adapting system, supported with artificial intelligence, machine learning and real time intelligence for predictive cyber risk analytics in extreme environments, cyber risk in the colonisation of Mars

Petar Radanliev, David De Roure, Kevin Page +6

Multiple governmental agencies and private organisations have made commitments for the colonisation of Mars. Such colonisation requires complex systems and infrastructure that coul…

cs.DL2020★ 2 cited

What country, university or research institute, performed the best on COVID-19? Bibliometric analysis of scientific literature

Petar Radanliev, David De Roure, Rob Walton +3

In this article, we conduct data mining to discover the countries, universities and companies, produced or collaborated the most research on Covid-19 since the pandemic started. We…

cs.CY2019

Cyber Risk at the Edge: Current and future trends on Cyber Risk Analytics and Artificial Intelligence in the Industrial Internet of Things and Industry 4.0 Supply Chains

Petar Radanliev, David De Roure, Kevin Page +5

Digital technologies have changed the way supply chain operations are structured. In this article, we conduct systematic syntheses of literature on the impact of new technologies o…

cs.CR2019★ 10 cited

Dynamic real-time risk analytics of uncontrollable states in complex internet of things systems, cyber risk at the edge

Petar Radanliev, David De Roure, Max Van Kleek +7

The Internet of Things (IoT) triggers new types of cyber risks. Therefore, the integration of new IoT devices and services requires a self-assessment of IoT cyber security posture.…

cs.CY2019★ 80 cited

Future developments in standardisation of cyber risk in the Internet of Things (IoT)

Petar Radanliev, David C De Roure, Jason RC Nurse +5

In this research article, we explore the use of a design process for adapting existing cyber risk assessment standards to allow the calculation of economic impact from IoT cyber ri…