|
|
|
|
|
Sharoug Alzaidy and Hamad Binsalleeh
In the field of behavioral detection, deep learning has been extensively utilized. For example, deep learning models have been utilized to detect and classify malware. Deep learning, however, has vulnerabilities that can be exploited with crafted inputs,...
ver más
|
|
|
|
|
|
|
|
|
|
|
Abigail Copiaco, Leena El Neel, Tasnim Nazzal, Husameldin Mukhtar and Walid Obaid
This study introduces an innovative all-in-one malware identification model that significantly enhances convenience and resource efficiency in classifying malware across diverse file types. Traditional malware identification methods involve the extractio...
ver más
|
|
|
|
|
|
|
|
|
|
|
Maya Hilda Lestari Louk and Bayu Adhi Tama
Given their escalating number and variety, combating malware is becoming increasingly strenuous. Machine learning techniques are often used in the literature to automatically discover the models and patterns behind such challenges and create solutions th...
ver más
|
|
|
|
|
|
|
|
|
|
|
Nureni Ayofe Azeez, Oluwanifise Ebunoluwa Odufuwa, Sanjay Misra, Jonathan Oluranti and Robertas Dama?evicius
In this Internet age, there are increasingly many threats to the security and safety of users daily. One of such threats is malicious software otherwise known as malware (ransomware, Trojans, viruses, etc.). The effect of this threat can lead to loss or ...
ver más
|
|
|
|
|
|