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AU

AI-Enhanced Threat Intelligence Sharing for Privacy-Preserving Analytics and Coordinated Cybercrime Response

Aston University College of Business and Social Sciences
✓ Fully Funded 🎓 Artificial Intelligence 🎓 Computer Science 🎓 Cyber Security federated learning blockchain threat intelligence privacy-preserving analytics cybercrime disruption crypto-enabled crimes online harms homomorphic encryption

Develop an AI-based privacy-preserving framework for sharing threat intelligence and coordinating responses to online harms and crypto crimes. Explore federated learning and secure analytics to enable cross-sector collaboration without revealing sensitive data.

AI-generated overview

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Why This Research Matters

This research enables faster, coordinated action against online harms and crypto-enabled criminal activities by securely sharing actionable intelligence across sectors. It supports national cyber security objectives and helps protect individuals and organizations by improving detection, response, and recovery capabilities in a privacy-compliant manner.

Information Security and Privacy Digital Forensics Location-based Services Mobile Application

Project Description

Project Overview

Online harms and crypto-enabled crimes increasingly exploit crypto payments and dark-web platforms for abuse, such as crypto sextortion, ransomware, and fraud marketplaces. Intelligence needed to counter these crimes is fragmented across sectors, and privacy and trust constraints delay information sharing. This project aims to develop a privacy-preserving intelligence-to-action framework using AI-enhanced analytics empowered by federated learning, homomorphic encryption, and blockchain to support timely, coordinated detection and response without sharing raw sensitive data.

What You Will Do

You will analyze open-source case studies, OSINT, blockchain, and dark-web data to derive crime typologies and baseline detection indicators. Semistructured interviews with law enforcement, industry, and national bodies will inform framework requirements. You will develop and evaluate a proof-of-concept federated socio-technical system that supports interoperable intelligence exchange via STIX and TAXII standards under governed workflows, ensuring auditability and lawful data handling.

Expected Outcomes

The project will deliver a federated analytic framework that enables actionable and accountable sharing of threat intelligence, facilitating coordinated disruption, victim alerts, and recovery workflows. The framework will align with UK cyber resilience strategies and governance models to promote sector-wide uptake. Assessment will focus on feasibility, actionability, governance compliance, and impact on reducing online harms and crypto crimes.

Why This Matters

This research addresses critical gaps in collaborative cybercrime disruption by enabling privacy-compliant, real-time intelligence sharing and coordinated response. It supports national cyber priorities and the UK Government Cyber Action Plan, potentially transforming how public and private entities protect against, respond to, and recover from crypto-enabled crimes and digital harm.

Entry Requirements

Applicants should hold or expect to achieve a First or Upper Second Class Honours undergraduate degree and a Masters degree with Merit or Distinction in relevant subjects. Overseas qualifications considered subject to equivalence. Research experience, professional background relevant to cybercrime or threat intelligence, and distinction in dissertation work are desirable.

How to Apply

Applications must be complete with transcripts, a research statement addressing the project, and a personal statement. Incomplete applications will be rejected.

Eligibility

UK/Home
EU
International

Supervisor Profile

DA
Dr Asma Patel and Dr Bogdan Adamyk
Aston University, College of Business and Social Sciences
173 Citations
6 h-index
Google Scholar

Dr Asma Patel and Dr Bogdan Adamyk are researchers at Aston University's College of Business and Social Sciences focusing on cyber security innovation. Their work involves interdisciplinary approaches combining AI, privacy technologies, and governance frameworks to tackle cybercrime and online threats. They collaborate extensively with government, industry, and academic partners to drive impactful, applied research in threat intelligence sharing and cyber resilience.

Key Publications

2023 41 citations
Object tracking and detection techniques under GANN threats: A systemic review
2013 34 citations
Smart care spaces: Needs for intelligent at-home care
2019 27 citations
Defining a new composite cybersecurity rating scheme for smes in the uk
2014 22 citations
Smart care spaces: pervasive sensing technologies for at–home care
2014 16 citations
Privacy Preservation in Location-based Mobile Applications: Research Directions

Research Contributions

Comprehensive review and analysis of object tracking and detection techniques under Generative Adversarial Neural Network (GANN) threats.
Helps improve awareness and development of robust security methods against advanced adversarial machine learning attacks.
Identification of technological needs and design considerations for intelligent at-home smart care spaces.
Supports development of pervasive sensing technologies that enable enhanced remote elderly and patient care in smart home environments.
Development of a composite cybersecurity rating scheme tailored for UK small and medium-sized enterprises (SMEs).
Provides SMEs with a practical framework to assess and improve their cybersecurity posture effectively.
Exploration of privacy preservation techniques in location-based mobile applications.
Offers guidelines and research directions to enhance user privacy in mobile service usage.

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