Adversaries are often able to penetrate networks and compromise systems by exploiting
vulnerabilities in people and systems. The key to the success of these attacks is information …

Advanced targeted cyber attacks often rely on reconnaissance missions to gather
information about potential targets, their characteristics and location to identify vulnerabilities …

Abstract Intrusion Detection Systems (IDS) have been investigated for many years and the
field has matured. Nevertheless, there are still important challenges, eg, how an IDS can …

Smart speakers and voice-based virtual assistants are used to retrieve information, interact
with other devices, and command a variety of Internet of Things (IoT) nodes. To this aim …

Often machine learning applications rely on batch learning for training, but a complete set of
network communications data may not be readily available. Therefore, this work evaluates …

This paper presents a study that aims to answer two important questions related to targeted
location-sharing privacy attacks:(1) given a group of users and their social graph, is it …

In large network environments multiple intrusion detection sensors are needed to
adequately monitor network traffic. However, deploying and managing additional sensors on …

Abstract The Domain Name System (DNS) is a fundamental backbone service of the
Internet. In practice, this infrastructure often shows flaws, which indicate that measuring the …

In this paper, we present a network analysis and surveillance system based on the Complex
Event Processing (CEP) paradigm. We demonstrate how complex event hierarchies based …

Stealthy attackers move patiently through computer networks–taking days, weeks or months
to accomplish their objectives in order to avoid detection. As networks scale up in size and …