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

Abstract The Internet of things (IoT) is the extension of Internet connectivity into physical
devices and everyday objects. These IoT devices can communicate with others over the …

Previous research has shown that hidden Markov model (HMM) analysis is useful for
detecting certain challenging classes of malware. In this research, we consider the related …

In an attempt to preserve the structural information in malware binaries during feature
extraction, function call graph-based features have been used in various research works in …

Research in the field of malware classification often relies on machine learning models that
are trained on high-level features, such as opcodes, function calls, and control flow graphs …

Malwares are big threat to digital world and evolving with high complexity. It can penetrate
networks, steal confidential information from computers, bring down servers and can cripple …

In today's world, information is one of the most valuable assets, but there is a major threat to
it by the evolving second-generation sophisticated malware, because it can enter the …

The paper presents the analysis of the CryptoWall ransomware network behaviour. In this
approach a HoneyPot technology as well as the automatic run-time malware analytical …

The capability of efficiently recognizing reused functions for binary code is critical to many
digital forensics tasks, especially considering the fact that many modern malware typically …

Anti-virus vendors receive hundreds of thousands of malware to be analysed each day.
Some are new malware while others are variations or evolutions of existing malware …