362 citations · 753 across the 12 of their papers we have counts for
12 papers
TIPS: Threat Sharing Information Platform for Enhanced Security
Lakshmi Rama Kiran Pasumarthy, Hisham Ali, William J Buchanan +4
There is an increasing need to share threat information for the prevention of widespread cyber-attacks. While threat-related information sharing can be conducted through traditiona…
On the Integration of Course of Action Playbooks into Shareable Cyber Threat Intelligence
Vasileios Mavroeidis, Pavel Eis, Martin Zadnik +2
Motivated by the introduction of CACAO, the first open standard that harmonizes the way we document courses of action in a machine-readable format for interoperability, and the ben…
Data-Driven Threat Hunting Using Sysmon
Vasileios Mavroeidis, Audun Jøsang
Threat actors can be persistent, motivated and agile, and leverage a diversified and extensive set of tactics and techniques to attain their goals. In response to that, defenders e…
Cyber Threat Intelligence Model: An Evaluation of Taxonomies, Sharing Standards, and Ontologies within Cyber Threat Intelligence
Vasileios Mavroeidis, Siri Bromander
Cyber threat intelligence is the provision of evidence-based knowledge about existing or emerging threats. Benefits from threat intelligence include increased situational awareness…
Threat Actor Type Inference and Characterization within Cyber Threat Intelligence
Vasileios Mavroeidis, Ryan Hohimer, Tim Casey +1
As the cyber threat landscape is constantly becoming increasingly complex and polymorphic, the more critical it becomes to understand the enemy and its modus operandi for anticipat…
Firearm Detection via Convolutional Neural Networks: Comparing a Semantic Segmentation Model Against End-to-End Solutions
Alexander Egiazarov, Fabio Massimo Zennaro, Vasileios Mavroeidis
Threat detection of weapons and aggressive behavior from live video can be used for rapid detection and prevention of potentially deadly incidents such as terrorism, general crimin…
Firearm Detection and Segmentation Using an Ensemble of Semantic Neural Networks
Alexander Egiazarov, Vasileios Mavroeidis, Fabio Massimo Zennaro +1
In recent years we have seen an upsurge in terror attacks around the world. Such attacks usually happen in public places with large crowds to cause the most damage possible and get…
Privacy Issues and Data Protection in Big Data: A Case Study Analysis under GDPR
Nils Gruschka, Vasileios Mavroeidis, Kamer Vishi +1
Big data has become a great asset for many organizations, promising improved operations and new business opportunities. However, big data has increased access to sensitive informat…
A Framework for Data-Driven Physical Security and Insider Threat Detection
Vasileios Mavroeidis, Kamer Vishi, Audun Jøsang
This paper presents PS0, an ontological framework and a methodology for improving physical security and insider threat detection. PS0 can facilitate forensic data analysis and proa…
An Evaluation of Score Level Fusion Approaches for Fingerprint and Finger-vein Biometrics
Kamer Vishi, Vasileios Mavroeidis
Biometric systems have to address many requirements, such as large population coverage, demographic diversity, varied deployment environment, as well as practical aspects like perf…
The Impact of Quantum Computing on Present Cryptography
Vasileios Mavroeidis, Kamer Vishi, Mateusz D. Zych +1
The aim of this paper is to elucidate the implications of quantum computing in present cryptography and to introduce the reader to basic post-quantum algorithms. In particular the…
Automatic Detection of Malware-Generated Domains with Recurrent Neural Models
Pierre Lison, Vasileios Mavroeidis
Modern malware families often rely on domain-generation algorithms (DGAs) to determine rendezvous points to their command-and-control server. Traditional defence strategies (such a…