Semi-supervised log-based anomaly detection via probabilistic label estimation

L Yang, J Chen, Z Wang, W Wang… - 2021 IEEE/ACM …, 2021 - ieeexplore.ieee.org
With the growth of software systems, logs have become an important data to aid system
maintenance. Log-based anomaly detection is one of the most important methods for such …

K-mdtsc: K-multi-dimensional time-series clustering algorithm

D Giordano, M Mellia, T Cerquitelli - Electronics, 2021 - mdpi.com
The increasing capability to collect data gives us the possibility to collect a massive amount
of heterogeneous data. Among the heterogeneous data available, time-series represents a …

AI-based detection of DNS misuse for network security

I Chiscop, F Soro, P Smith - … of the 1st International Workshop on Native …, 2022 - dl.acm.org
Threat hunting and malware prediction are critical activities to ensure network and system
security. These tasks are difficult due to increasing numbers of sophisticated malware …

Efficient query clustering and information retrieval using Sequenced User Search Pattern Query Optimization

S Surya, P Sumitra - Multimedia Tools and Applications, 2024 - Springer
The rapid growth of the internet has ushered in an era of unprecedented information
availability. However, this expansion has also given rise to the formidable challenge of …

LENTA: Longitudinal exploration for network traffic analysis from passive data

A Morichetta, M Mellia - IEEE Transactions on Network and …, 2019 - ieeexplore.ieee.org
In this paper, we present longitudinal exploration for network traffic analysis (LENTA), a
system that supports the network analysts in the identification of traffic generated by services …

[PDF][PDF] K-MDTSC: K-Multi-Dimensional Time-Series Clustering Algorithm. Electronics 2021, 10, 1166

D Giordano, M Mellia, T Cerquitelli - 2021 - researchgate.net
The increasing capability to collect data gives us the possibility to collect a massive amount
of heterogeneous data. Among the heterogeneous data available, time-series represents a …

[PDF][PDF] Machine Learning and Big Data Approaches for Automatic Internet Monitoring

A Morichetta - 2020 - tesidottorato.depositolegale.it
The analysis and monitoring of network traffic are of fundamental importance for numerous
activities related to its management. These activities are involved in quality control of the …