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: Recent advances, analysis, challenges and future research directions

C Beaman, A Barkworth, TD Akande, S Hakak… - Computers & …, 2021 - Elsevier
The COVID-19 pandemic has witnessed a huge surge in the number of ransomware attacks.
Different institutions such as healthcare, financial, and government have been targeted …

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 …

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 …

Ransomware detection using the dynamic analysis and machine learning: A survey and research directions

U Urooj, BAS Al-rimy, A Zainal, FA Ghaleb… - Applied Sciences, 2021 - mdpi.com
Ransomware is an ill-famed malware that has received recognition because of its lethal and
irrevocable effects on its victims. The irreparable loss caused due to ransomware requires …

The age of ransomware: A survey on the evolution, taxonomy, and research directions

S Razaulla, C Fachkha, C Markarian… - IEEE …, 2023 - ieeexplore.ieee.org
The proliferation of ransomware has become a significant threat to cybersecurity in recent
years, causing significant financial, reputational, and operational damage to individuals and …

A survey of crypto ransomware attack detection methodologies: an evolving outlook

A Alqahtani, FT Sheldon - Sensors, 2022 - mdpi.com
Recently, ransomware attacks have been among the major threats that target a wide range
of Internet and mobile users throughout the world, especially critical cyber physical systems …

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 …

[HTML][HTML] API-MalDetect: Automated malware detection framework for windows based on API calls and deep learning techniques

P Maniriho, AN Mahmood, MJM Chowdhury - Journal of Network and …, 2023 - Elsevier
This paper presents API-MalDetect, a new deep learning-based automated framework for
detecting malware attacks in Windows systems. The framework uses an NLP-based encoder …

[HTML][HTML] Early detection of crypto-ransomware using pre-encryption detection algorithm

SH Kok, A Abdullah, NZ Jhanjhi - … of King Saud University-Computer and …, 2022 - Elsevier
Crypto ransomware is a type of malware that locks its victim's file for ransom using an
encryption algorithm. Its popularity has risen at an alarming rate among the cyber security …