Camouflage of malware is a serious challenge for antivirus experts and code analysts.
Malware use various techniques to camouflage them to not be easily visible and make their …

The continuous proliferation of malware poses a formidable threat to the cyberspace
landscape. Researchers have proffered a multitude of sophisticated defense mechanisms …

The growth of data and categories of attacks, demand the use of Intrusion Detection System
(IDS) effectively using Machine Learning (ML) and Deep Learning (DL) techniques. Apart …

Fuzz testing consists in automatically generating and sending malicious inputs to an
application in order to hopefully trigger a vulnerability. Fuzzing entails such questions as …

Web caching aims at reducing network traffic, server load and user-perceived retrieval
delays by replicating popular content on proxy caches that are strategically placed within the …

Malware programs currently represent the most serious threat to computer information
systems. Despite the performed efforts of researchers in this field, detection tools still have …

We present a method to automatically find security strategies for the use case of intrusion
prevention. Following this method, we model the interaction between an attacker and a …

Recognition of known malicious patterns through signature-based systems is unsuccessful
against malware for which no known signature exists to identify them. These include not only …

Malware detection is still a very challenging topic in the cybersecurity field. This is mainly
due to the use of obfuscation techniques. To solve this issue, researchers proposed to …

Mobile malware is one of today's greatest threats in computer security. Furthermore, new
mobile malware is emerging daily that introduces new security risks. However, while existing …