Software obfuscation techniques are increasingly being used to prevent attackers from
exploiting security flaws and launching successful attacks. With research on software …

Machine learning techniques are widely used in addition to signatures and heuristics to
increase the detection rate of anti-malware software, as they automate the creation of …

Illicit crypto-mining leverages resources stolen from victims to mine cryptocurrencies on
behalf of criminals. While recent works have analyzed one side of this threat, ie: web …

Smartphones are becoming more and more popular and, as a consequence, malware
writers are increasingly engaged to develop new threats and propagate them through official …

An open research problem on malware analysis is how to statically distinguish between
packed and non-packed executables. This has an impact on antivirus software and malware …

TorrentLocker is a ransomware that encrypts sensitive data located on infected computer
systems. Its creators aim to ransom the victims, if they want to retrieve their data …

Binary packing, encoding binary code prior to execution and decoding them at run time, is
the most common obfuscation adopted by malware authors to camouflage malicious code …

Static analysis and detection of malware is a crucial phase for handling security threats.
Most researchers stated that the problem with the static analysis is an imbalance in the …

Packing algorithms are broadly used to avoid anti-malware systems, and the proportion of
packed malware has been growing rapidly. However, just a few studies have been …

Malware detection is in a coevolutionary arms race where the attackers and defenders are
constantly seeking advantage. This arms race is asymmetric: detection is harder and more …