Cyberattacks are becoming more sophisticated and ubiquitous. Cybercriminals are
inevitably adopting Artificial Intelligence (AI) techniques to evade the cyberspace and cause …

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 …

Although a previous paper shows that existing anti-malware tools (AMTs) may have high
detection rate, the report is based on existing malware and thus it does not imply that AMTs …

Recent developments in Artificial intelligence (AI) have a vast transformative potential for
both cybersecurity defenders and cybercriminals. Anti-malware solutions adopt intelligent …

In the arms race of attackers and defenders, the defense is usually more challenging than
the attack due to the unpredicted vulnerabilities and newly emerging attacks every day …

This paper presents a novel solution for detecting rare and mutating malware programs and
provides a strategy to address the scarcity of datasets for modeling these types of malware …

Malware variants are generated using various evasion techniques to bypass malware
detectors, so it is important to understand what properties make them evade malware …

Obfuscation techniques have been conventionally used for legitimate applications, including
preventing application reverse engineering, tampering and protecting intellectual property. A …

This paper proposes MAGE—A Malware Antigen Generating Evolutionary algorithm that is
capable of generating unseen variants of a given source malware. MAGE evolves malware …

Abstract Machine learning techniques have been actively studied and achieved significant
performance improvements in various kinds of tasks. While we benefit from such techniques …