The cyber world is plagued with ever-evolving malware that readily infiltrate all defense
mechanisms, operate viciously unbeknownst to the user, and surreptitiously exfiltrate …

Security of a computer system has been traditionally related to the security of the software or
the information being processed. The underlying hardware used for information processing …

The goal of this systematic and broad survey is to present and discuss the main challenges
that are posed by the implementation of Artificial Intelligence and Machine Learning in the …

Abstract Context and rationale Intrusion Detection, the ability to detect malware and other
attacks, is a crucial aspect to ensure cybersecurity. So is the ability to identify this myriad of …

We describe the use of machine learning and data mining to detect and classify malicious
executables as they appear in the wild. We gathered 1,971 benign and 1,651 malicious …

A malware detector is a system that attempts to determine whether a program has malicious
intent. In order to evade detection, malware writers (hackers) frequently use obfuscation to …

Malicious code detection is a crucial component of any defense mechanism. In this paper,
we present a unique viewpoint on malicious code detection. We regard malicious code …

Malware is a worldwide epidemic. Studies suggest that the impact of malware is getting
worse. Malware detectors are the primary tools in defense against malware. The quality of …

In this paper, we describe the development of a fielded application for detecting malicious
executables in the wild. We gathered 1971 benign and 1651 malicious executables and …

Recent microarchitectural security countermeasures by employing applications' low-level
features collected from Hardware Performance Counters (HPCs) registers have emerged as …