Abstract Machine Learning (ML) techniques are becoming an invaluable support for network
intrusion detection, especially in revealing anomalous flows, which often hide cyber-threats …

The allocation of resources in the cloud environment is efficient and vital, as it directly
impacts versatility and operational expenses. Containers, like virtualization technology, are …

The paper elaborates on how text analysis influences classification—a key part of the spam-
filtering process. The authors propose a multistage meta-algorithm for checking classifier …

Abstract Nowadays, the Security Information and Event Management (SIEM) systems take
on great relevance in handling security issues for critical infrastructures as Internet Service …

The detection of encrypted real-time traffic, both streaming and conversational, is an
increasingly important issue for agencies in charge of lawful interception. Aside from well …

Over the last decade, programmable data planes have enabled highly customizable and
efficient packet processing in commercial off-the-shelf hardware. Although researchers have …

VANET routing is a serious concern due to some of the limitations in terms of routing costs.
More research has already worked on VANET routing strategies for enhancing the …

A network attacker wants to transmit Voice-over-IP (VoIP) traffic streams covertly. He tries to
evade the detection system by manipulating the VoIP streams through padding, shifting, and …

Harassing and fraud calls have spread like viruses in people's lives, many researchers have
proposed some solutions to abnormal phone detection. However, most of these methods are …

The detection of encrypted streamed traffic (like VoIP or Video) is an increasingly important
issue for authorities involved in lawful interception. Aside from well established technologies …