A comprehensive survey on deep learning based malware detection techniques

M Gopinath, SC Sethuraman - Computer Science Review, 2023 - Elsevier
Recent theoretical and practical studies have revealed that malware is one of the most
harmful threats to the digital world. Malware mitigation techniques have evolved over the …

Ransomware mitigation in the modern era: A comprehensive review, research challenges, and future directions

T McIntosh, ASM Kayes, YPP Chen, A Ng… - ACM Computing …, 2021 - dl.acm.org
Although ransomware has been around since the early days of personal computers, its
sophistication and aggression have increased substantially over the years. Ransomware, as …

A survey on ransomware: Evolution, taxonomy, and defense solutions

H Oz, A Aris, A Levi, AS Uluagac - ACM Computing Surveys (CSUR), 2022 - dl.acm.org
In recent years, ransomware has been one of the most notorious malware targeting end-
users, governments, and business organizations. It has become a very profitable business …

[HTML][HTML] Ransomware early detection: A survey

M Cen, F Jiang, X Qin, Q Jiang, R Doss - Computer Networks, 2024 - Elsevier
In recent years, ransomware attacks have exploded globally, and it has become one of the
most significant cyber threats to digital infrastructure. Such attacks have been targeting …

MAPAS: a practical deep learning-based android malware detection system

J Kim, Y Ban, E Ko, H Cho, JH Yi - International Journal of Information …, 2022 - Springer
A lot of malicious applications appears every day, threatening numerous users. Therefore, a
surge of studies have been conducted to protect users from newly emerging malware by …

[HTML][HTML] Ransomware detection, avoidance, and mitigation scheme: A review and future directions

A Kapoor, A Gupta, R Gupta, S Tanwar, G Sharma… - Sustainability, 2021 - mdpi.com
Ransomware attacks have emerged as a major cyber-security threat wherein user data is
encrypted upon system infection. Latest Ransomware strands using advanced obfuscation …

Mobile malware attacks: Review, taxonomy & future directions

A Qamar, A Karim, V Chang - Future Generation Computer Systems, 2019 - Elsevier
A pervasive increase in the adoption rate of smartphones with Android OS is noted in recent
years. Android's popular and attractive environment not only captured the attention of users …

[HTML][HTML] Ransomware detection using random forest technique

BM Khammas - ICT Express, 2020 - Elsevier
Nowadays, the ransomware became a serious threat challenge the computing world that
requires an immediate consideration to avoid financial and moral blackmail. So, there is a …

A few-shot meta-learning based siamese neural network using entropy features for ransomware classification

J Zhu, J Jang-Jaccard, A Singh, I Welch, ALS Harith… - Computers & …, 2022 - Elsevier
Ransomware defense solutions that can quickly detect and classify different ransomware
classes to formulate rapid response plans have been in high demand in recent years …

The rise of ransomware: Forensic analysis for windows based ransomware attacks

I Kara, M Aydos - Expert Systems with Applications, 2022 - Elsevier
While information technologies grow and propagate worldwide, malwares have modified
and risen their efficiency towards information system. Recently, the attackers have started to …