Bilatu
47-tik 41-47 emaitza erakusten
A collaborative framework for android malware detection using DNS & dynamic analysis
(IEEE, 2018)
Nowadays, with the predominance of smart devices such as smartphones, mobile malware attacks have increasingly proliferated. There is an urgent need of detecting potential malicious behaviors so as to hinder them. Furthermore, ...
Reputation-based intrusion detection system for wireless sensor networks
(IEEE, 2012)
Wireless Sensor Networks (WSNs) can be used in a broad range of applications from complex military operations to simple domestic environments. This makes security a vital characteristic in WSNs. There have been numerous ...
Gotham Testbed: A Reproducible IoT Testbed for Security Experiments and Dataset Generation
(IEEE, 2023)
The growing adoption of the Internet of Things (IoT) has brought a significant increase in attacks targeting those devices. Machine learning (ML) methods have shown promising results for intrusion detection; however, the ...
Multi-objective evolutionary optimization for dimensionality reduction of texts represented by synsets
(PeerJ, 2023)
Despite new developments in machine learning classification techniques, improving the accuracy of spam filtering is a difficult task due to linguistic phenomena that limit its effectiveness. In particular, we highlight ...
Deobfuscating leetspeak with deep learning to improve spam filtering
(UNIR - Universidad Internacional de La Rioja, 2023)
The evolution of anti-spam filters has forced spammers to make greater efforts to bypass filters in order to distribute content over networks. The distribution of content encoded in images or the use of Leetspeak are ...
Federated Explainability for Network Anomaly Characterization
(ACM, 2023)
Machine learning (ML) based systems have shown promising results for intrusion detection due to their ability to learn complex patterns. In particular, unsupervised anomaly detection approaches offer practical advantages ...
Combined data mining approach for intrusion detection
(Scitepress, 2007)
This paper presents the results of the project MIAU, a data mining approach for intrusion detection alert correlation. MIAU combines different data mining techniques in order to properly solve some existing problems in the ...