3 citations · 3 across the 3 of their papers we have counts for
5 papers
Detecting and Mitigating DDoS Attacks with AI: A Survey
Alexandru Apostu, Silviu Gheorghe, Andrei Hîji +5
Distributed Denial of Service attacks represent an active cybersecurity research problem. Recent research shifted from static rule-based defenses towards AI-based detection and mit…
Fusing Dictionary Learning and Support Vector Machines for Unsupervised Anomaly Detection
Paul Irofti, Iulian-Andrei Hîji, Andrei Pătraşcu +1
We study in this paper the improvement of one-class support vector machines (OC-SVM) through sparse representation techniques for unsupervised anomaly detection. As Dictionary Lear…
Learning Explicitly Conditioned Sparsifying Transforms
Andrei Pătraşcu, Cristian Rusu, Paul Irofti
Sparsifying transforms became in the last decades widely known tools for finding structured sparse representations of signals in certain transform domains. Despite the popularity o…
Unsupervised Abnormal Traffic Detection through Topological Flow Analysis
Paul Irofti, Andrei Pătraşcu, Andrei Iulian Hîji
Cyberthreats are a permanent concern in our modern technological world. In the recent years, sophisticated traffic analysis techniques and anomaly detection (AD) algorithms have be…
Dictionary Learning with Uniform Sparse Representations for Anomaly Detection
Paul Irofti, Cristian Rusu, Andrei Pătraşcu
Many applications like audio and image processing show that sparse representations are a powerful and efficient signal modeling technique. Finding an optimal dictionary that genera…