Search Results for author: Ricardo Morla

Found 6 papers, 1 papers with code

Tweaking Metasploit to Evade Encrypted C2 Traffic Detection

no code implementations2 Sep 2022 Gonçalo Xavier, Carlos Novo, Ricardo Morla

In this paper we start with these identifiable patterns in Metasploit's C2 traffic and show that a machine learning-based detector is able to detect the presence of such traffic with high accuracy, even when encrypted.

Ten AI Stepping Stones for Cybersecurity

no code implementations14 Dec 2019 Ricardo Morla

With the turmoil in cybersecurity and the mind-blowing advances in AI, it is only natural that cybersecurity practitioners consider further employing learning techniques to help secure their organizations and improve the efficiency of their security operation centers.

802.11 Wireless Simulation and Anomaly Detection using HMM and UBM

1 code implementation10 Jul 2017 Anisa Allahdadi, Ricardo Morla, Jaime S. Cardoso

Despite the growing popularity of 802. 11 wireless networks, users often suffer from connectivity problems and performance issues due to unstable radio conditions and dynamic user behavior among other reasons.

Networking and Internet Architecture

Anomaly Detection and Modeling in 802.11 Wireless Networks

no code implementations4 Jul 2017 Anisa Allahdadi, Ricardo Morla

IEEE 802. 11 Wireless Networks are getting more and more popular at university campuses, enterprises, shopping centers, airports and in so many other public places, providing Internet access to a large crowd openly and quickly.

Anomaly Detection Management

Event and Anomaly Detection Using Tucker3 Decomposition

no code implementations12 Jun 2014 Hadi Fanaee-T, Márcia D. B. Oliveira, João Gama, Simon Malinowski, Ricardo Morla

Among unsupervised approaches, Principal Component Analysis (PCA) is a well-known solution which has been widely used in the anomaly detection literature and can be applied to matrix data (e. g. Users-Features).

Anomaly Detection

Cannot find the paper you are looking for? You can Submit a new open access paper.