activity
20202024
most citedHercules Against Data Series Similarity Search

26 citations · 56 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2024★ 3 cited

STRisk: A Socio-Technical Approach to Assess Hacking Breaches Risk

Hicham Hammouchi, Narjisse Nejjari, Ghita Mezzour +2

Data breaches have begun to take on new dimensions and their prediction is becoming of great importance to organizations. Prior work has addressed this issue mainly from a technica…

cs.DB2022★ 26 cited

Hercules Against Data Series Similarity Search

Karima Echihabi, Panagiota Fatourou, Kostas Zoumpatianos +2

We propose Hercules, a parallel tree-based technique for exact similarity search on massive disk-based data series collections. We present novel index construction and query answer…

cs.CR2021

Leveraging Open Threat Exchange (OTX) to Understand Spatio-Temporal Trends of Cyber Threats: Covid-19 Case Study

Othmane Cherqi, Hicham Hammouchi, Mounir Ghogho +1

Understanding the properties exhibited by Spatial-temporal evolution of cyber attacks improve cyber threat intelligence. In addition, better understanding on threats patterns is a…

cs.DB2020★ 15 cited

Return of the Lernaean Hydra: Experimental Evaluation of Data Series Approximate Similarity Search

Karima Echihabi, Kostas Zoumpatianos, Themis Palpanas +1

Data series are a special type of multidimensional data present in numerous domains, where similarity search is a key operation that has been extensively studied in the data series…

cs.DB2020★ 12 cited

The Lernaean Hydra of Data Series Similarity Search: An Experimental Evaluation of the State of the Art

Karima Echihabi, Kostas Zoumpatianos, Themis Palpanas +1

Increasingly large data series collections are becoming commonplace across many different domains and applications. A key operation in the analysis of data series collections is si…