118 citations · 236 across the 11 of their papers we have counts for
14 papers
QUIC-TRIP: A Triple-Redundant Journey Toward Secure Substation Communications
Jorge David de Hoz Diego, Ioannis Zografopoulos, Anca Jurcut
Modern power systems rely on real-time substation communication protocols, such as the Routable Generic Object-Oriented Substation Event (R-GOOSE), for critical control and protect…
MLRan: A Behavioural Dataset for Ransomware Analysis and Detection
Faithful Chiagoziem Onwuegbuche, Adelodun Olaoluwa, Anca Delia Jurcut +1
Ransomware remains a critical threat to cybersecurity, yet publicly available datasets for training machine learning-based ransomware detection models are scarce and often have lim…
MULTI-LF: A Continuous Learning Framework for Real-Time Malicious Traffic Detection in Multi-Environment Networks
Furqan Rustam, Islam Obaidat, Anca Delia Jurcut
Multi-environment (M-En) networks integrate diverse traffic sources, including Internet of Things (IoT) and traditional computing systems, creating complex and evolving conditions…
Active Learning for Network Traffic Classification: A Technical Study
Amin Shahraki, Mahmoud Abbasi, Amir Taherkordi +1
Network Traffic Classification (NTC) has become an important feature in various network management operations, e.g., Quality of Service (QoS) provisioning and security services. Ma…
Methodology proposal for proactive detection of network anomalies in e-learning system during the COVID-19 scenario
Ivan Cvitić, Dragan Peraković, Marko Periša +1
In specific conditions and crisis situations such as the pandemic of coronavirus (SARS-CoV-2), or the COVID-19 disease, e-learning systems be-came crucial for the smooth performing…
Methodology for Detecting Cyber Intrusions in e-Learning Systems during COVID-19 Pandemic
Ivan Cvitić, Dragan Peraković, Marko Periša +1
In the scenarios of specific conditions and crises such as the coronavirus pandemic, the availability of e-learning ecosystem elements is further highlighted. The growing importanc…
BLOFF: A Blockchain based Forensic Model in IoT
Promise Agbedanu, Anca Delia Jurcut
In this era of explosive growth in technology, the internet of things (IoT) has become the game changer when we consider technologies like smart homes and cities, smart energy, sec…
Protect Against Unintentional Insider Threats: The risk of an employee's cyber misconduct on a Social Media Site
Guerrino Mazzarolo, Juan Carlos Fernandez Casas, Anca Delia Jurcut +1
Social Media is a cyber-security risk for every business. What do people share on the Internet? Almost everything about oneself is shared: friendship, demographics, family, activit…
Detection and Prevention of New Attacks for ID-based Authentication Protocols
Jinyong Chen, Reiner Dojen, Anca Jurcut
The rapid development of information and network technologies motivates the emergence of various new computing paradigms, such as distributed computing, and edge computing. This al…
Detecting Abnormal Traffic in Large-Scale Networks
Mahmoud Said Elsayed, Nhien-An Le-Khac, Soumyabrata Dev +1
With the rapid technological advancements, organizations need to rapidly scale up their information technology (IT) infrastructure viz. hardware, software, and services, at a low c…
DDoSNet: A Deep-Learning Model for Detecting Network Attacks
Mahmoud Said Elsayed, Nhien-An Le-Khac, Soumyabrata Dev +1
Software-Defined Networking (SDN) is an emerging paradigm, which evolved in recent years to address the weaknesses in traditional networks. The significant feature of the SDN, whic…
Security Considerations for Internet of Things: A Survey
A. Jurcut, T. Niculcea, P. Ranaweera +1
Interconnecting "things" and devices that take the form of wearables, sensors, actuators, mobiles, computers, meters, or even vehicles is a critical requirement for the current era…
Insider threats in Cyber Security: The enemy within the gates
Guerrino Mazzarolo, Anca Delia Jurcut
Insider threats have become reality for civilian firms such as Tesla, which experienced sabotage and intellectual property theft, and Capital One, which suffered from fraud. Even g…
Machine-Learning Techniques for Detecting Attacks in SDN
Mahmoud Said Elsayed, Nhien-An Le-Khac, Soumyabrata Dev +1
With the advent of Software Defined Networks (SDNs), there has been a rapid advancement in the area of cloud computing. It is now scalable, cheaper, and easier to manage. However,…