A survey on malware detection using data mining techniques
In the Internet age, malware (such as viruses, trojans, ransomware, and bots) has posed
serious and evolving security threats to Internet users. To protect legitimate users from these …
serious and evolving security threats to Internet users. To protect legitimate users from these …
Classification of malware based on integrated static and dynamic features
Collection of dynamic information requires that malware be executed in a controlled
environment; the malware unpacks itself as a preliminary to the execution process. On the …
environment; the malware unpacks itself as a preliminary to the execution process. On the …
Malware classification with deep convolutional neural networks
In this paper, we propose a deep learning framework for malware classification. There has
been a huge increase in the volume of malware in recent years which poses a serious …
been a huge increase in the volume of malware in recent years which poses a serious …
{UNVEIL}: A {Large-Scale}, automated approach to detecting ransomware
Although the concept of ransomware is not new (ie, such attacks date back at least as far as
the 1980s), this type of malware has recently experienced a resurgence in popularity. In fact …
the 1980s), this type of malware has recently experienced a resurgence in popularity. In fact …
Advanced persistent threats (apt): evolution, anatomy, attribution and countermeasures
A Sharma, BB Gupta, AK Singh… - Journal of Ambient …, 2023 - Springer
In today's cyber warfare realm, every stakeholder in cyberspace is becoming more potent by
develo** advanced cyber weapons. They have equipped with the most advanced …
develo** advanced cyber weapons. They have equipped with the most advanced …
Novel feature extraction, selection and fusion for effective malware family classification
Modern malware is designed with mutation characteristics, namely polymorphism and
metamorphism, which causes an enormous growth in the number of variants of malware …
metamorphism, which causes an enormous growth in the number of variants of malware …
[PDF][PDF] DL4MD: A deep learning framework for intelligent malware detection
In the Internet-age, malware poses a serious and evolving threat to security, making the
detection of malware of utmost concern. Many research efforts have been conducted on …
detection of malware of utmost concern. Many research efforts have been conducted on …
Opcode sequences as representation of executables for data-mining-based unknown malware detection
Malware can be defined as any type of malicious code that has the potential to harm a
computer or network. The volume of malware is growing faster every year and poses a …
computer or network. The volume of malware is growing faster every year and poses a …
A survey on heuristic malware detection techniques
Z Bazrafshan, H Hashemi, SMH Fard… - The 5th conference on …, 2013 - ieeexplore.ieee.org
Malware is a malicious code which is developed to harm a computer or network. The
number of malwares is growing so fast and this amount of growth makes the computer …
number of malwares is growing so fast and this amount of growth makes the computer …
[PDF][PDF] A survey of malware detection techniques
N Idika, AP Mathur - Purdue University, 2007 - profsandhu.com
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 …
worse. Malware detectors are the primary tools in defense against malware. The quality of …