AI techniques play an important role in automated malware classification. Several machine-
learning methods have been applied to classify or cluster malware into families, based on …

Diversity has long been regarded as a security mechanism for improving the resilience of
software and networks against various attacks. More recently, diversity has found new …

Industrial Networks (INs) are widespread environments where heterogeneous devices
collaborate to control and monitor physical processes. Some of the controlled processes …

To gain an in-depth understanding of the behaviour of a malware, reverse engineers have to
disassemble the malware, analyze the resulting assembly code, and then archive the …

This work addresses classification of unknown binaries executed in sandbox by modeling
their interaction with system resources (files, mutexes, registry keys and communication with …

By letting students simulate operations and games on a digital education operation system,
schools are able to inspect learning achievement and teaching quality. In digital education …

This paper describes Variant, a testing framework for projects attempting to locate variants of
malware families through similarity testing. The framework is a series of tests and data …

Malware analysts need to be able to accurately and swiftly predict family membership as
well as to determine that a suspect file contains malicious content. Previous research has …

Reverse engineering is the primary step to analyze a piece of malware. After having
disassembled a malware binary, a reverse engineer needs to spend extensive effort …

In the past decade, a new class of cyber-threats, known as “Advanced Persistent
Threat”(APT), has emerged and has been used by different organizations to perform …