Semi-supervised log-based anomaly detection via probabilistic label estimation
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 …
maintenance. Log-based anomaly detection is one of the most important methods for such …
K-mdtsc: K-multi-dimensional time-series clustering algorithm
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 …
of heterogeneous data. Among the heterogeneous data available, time-series represents a …
AI-based detection of DNS misuse for network security
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 …
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 …
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 …
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
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 …
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 …
activities related to its management. These activities are involved in quality control of the …