814 citations · 3.3k across the 73 of their papers we have counts for
89 papers
A Preliminary Study on Augmenting Speech Emotion Recognition using a Diffusion Model
Ibrahim Malik, Siddique Latif, Raja Jurdak +1
In this paper, we propose to utilise diffusion models for data augmentation in speech emotion recognition (SER). In particular, we present an effective approach to utilise improved…
Emotions Beyond Words: Non-Speech Audio Emotion Recognition With Edge Computing
Ibrahim Malik, Siddique Latif, Sanaullah Manzoor +3
Non-speech emotion recognition has a wide range of applications including healthcare, crime control and rescue, and entertainment, to name a few. Providing these applications using…
Multitask Learning from Augmented Auxiliary Data for Improving Speech Emotion Recognition
Siddique Latif, Rajib Rana, Sara Khalifa +2
Despite the recent progress in speech emotion recognition (SER), state-of-the-art systems lack generalisation across different conditions. A key underlying reason for poor generali…
Self Supervised Adversarial Domain Adaptation for Cross-Corpus and Cross-Language Speech Emotion Recognition
Siddique Latif, Rajib Rana, Sara Khalifa +2
Despite the recent advancement in speech emotion recognition (SER) within a single corpus setting, the performance of these SER systems degrades significantly for cross-corpus and…
Security Attacks and Solutions for Digital Twins
Sabah Suhail, Raja Jurdak, Rasheed Hussain
Digital twins, being the virtual replicas of their physical counterparts, share valuable knowledge of the underlying system. Therefore, they might become a potential source of data…
Towards Situational Aware Cyber-Physical Systems: A Security-Enhancing Use Case of Blockchain-based Digital Twins
Sabah Suhail, Saif Ur Rehman Malik, Raja Jurdak +3
The complexity of cyberattacks in Cyber-Physical Systems (CPSs) calls for a mechanism that can evaluate critical infrastructures' operational behaviour and security without affecti…
A Blockchain-based Data Governance Framework with Privacy Protection and Provenance for e-Prescription
Rodrigo Dutra Garcia, Gowri Sankar Ramachandran, Raja Jurdak +1
Real-world applications in healthcare and supply chain domains produce, exchange, and share data in a multi-stakeholder environment. Data owners want to control their data and priv…
Decentralised Trustworthy Collaborative Intrusion Detection System for IoT
Guntur Dharma Putra, Volkan Dedeoglu, Abhinav Pathak +2
Intrusion Detection Systems (IDS) have been the industry standard for securing IoT networks against known attacks. To increase the capability of an IDS, researchers proposed the co…
Exploring Deep Neural Networks on Edge TPU
Seyedehfaezeh Hosseininoorbin, Siamak Layeghy, Brano Kusy +2
This paper explores the performance of Google's Edge TPU on feed forward neural networks. We consider Edge TPU as a hardware platform and explore different architectures of deep ne…
Blockchain for Trust and Reputation Management in Cyber-physical Systems
Guntur Dharma Putra, Volkan Dedeoglu, Salil S Kanhere +1
The salient features of blockchain, such as decentralisation and transparency, have allowed the development of Decentralised Trust and Reputation Management Systems (DTRMS), which…
Blockchain in Supply Chain: Opportunities and Design Considerations
Gowri Sankar Ramachandran, Sidra Malik, Shantanu Pal +4
Supply chain applications operate in a multi-stakeholder setting, demanding trust, provenance, and transparency. Blockchain technology provides mechanisms to establish a decentrali…
Blockchain for IoT Access Control: Recent Trends and Future Research Directions
Shantanu Pal, Ali Dorri, Raja Jurdak
With the rapid development of wireless sensor networks, smart devices, and traditional information and communication technologies, there is tremendous growth in the use of Internet…
Vericom: A Verification and Communication Architecture for IoT-based Blockchain
Ali Dorri, Shailesh Mishra, Raja Jurdak
Blockchain has received tremendous attention as a secure, distributed, and anonymous framework for the Internet of Things (IoT). As a distributed system, blockchain trades off scal…
TradeChain: Decoupling Traceability and Identity inBlockchain enabled Supply Chains
Sidra Malik, Naman Gupta, Volkan Dedeoglu +2
In this work, we propose a privacy-preservation framework, TradeChain, which decouples the trade events of participants using decentralised identities. TradeChain adopts the Self-S…
Towards Trusted and Intelligent Cyber-Physical Systems: A Security-by-Design Approach
Sabah Suhail, Raja Jurdak
The complexity of cyberattacks in Cyber-Physical Systems (CPSs) calls for a mechanism that can evaluate the operational behaviour and security without negatively affecting the oper…
PrivChain: Provenance and Privacy Preservation in Blockchain enabled Supply Chains
Sidra Malik, Volkan Dedeoglu, Salil Kanhere +1
Blockchain offers traceability and transparency to supply chain event data and hence can help overcome many challenges in supply chain management such as: data integrity, provenanc…
Security, Privacy and Trust: Cognitive Internet of Vehicles
Khondokar Fida Hasan, Anthony Overall, Keyvan Ansari +2
The recent advancement of cloud technology offers unparallel strength to support intelligent computations and advanced services to assist with automated decisions to improve road t…
Trust-based Blockchain Authorization for IoT
Guntur Dharma Putra, Volkan Dedeoglu, Salil S Kanhere +2
Authorization or access control limits the actions a user may perform on a computer system, based on predetermined access control policies, thus preventing access by illegitimate a…
Exploring Edge TPU for Network Intrusion Detection in IoT
Seyedehfaezeh Hosseininoorbin, Siamak Layeghy, Mohanad Sarhan +2
This paper explores Google's Edge TPU for implementing a practical network intrusion detection system (NIDS) at the edge of IoT, based on a deep learning approach. While there are…
COVID-19 vaccination strategies on dynamic networks
Quoc Huy Nguyen, Jessica Liebig, Md Shahzamal +2
Coronavirus disease (COVID-19), which was caused by SARS-CoV-2, has become a global public health concern. A great proportion of the world needs to be vaccinated in order to stop t…
Should international borders re-open? The impact of travel restrictions on COVID-19 importation risk
Jessica Liebig, Kamran Najeebullah, Raja Jurdak +2
Novel coronavirus disease (COVID-19) has spread across the world at an unprecedented pace, reaching over 200 countries and territories in less than three months. In response, many…
Blockchain-based Digital Twins: Research Trends, Issues, and Future Challenges
Sabah Suhail, Rasheed Hussain, Raja Jurdak +4
Industrial processes rely on sensory data for decision-making processes, risk assessment, and performance evaluation. Extracting actionable insights from the collected data calls f…
Deep Learning-based Cattle Activity Classification Using Joint Time-frequency Data Representation
Seyedeh Faezeh Hosseini Noorbin, Siamak Layeghy, Brano Kusy +3
Automated cattle activity classification allows herders to continuously monitor the health and well-being of livestock, resulting in increased quality and quantity of beef and dair…
Trustworthy Digital Twins in the Industrial Internet of Things with Blockchain
Sabah Suhail, Rasheed Hussain, Raja Jurdak +1
Industrial processes rely on sensory data for critical decision-making processes. Extracting actionable insights from the collected data calls for an infrastructure that can ensure…