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 …

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 …

Towards an interpretable deep learning model for mobile malware detection and family identification

G Iadarola, F Martinelli, F Mercaldo, A Santone - Computers & Security, 2021 - Elsevier
Mobile devices are pervading everyday activities of our life. Each day we store a plethora of
sensitive and private information in smart devices such as smartphones or tablets, which are …

Deep learning for image-based mobile malware detection

F Mercaldo, A Santone - Journal of Computer Virology and Hacking …, 2020 - Springer
Current anti-malware technologies in last years demonstrated their evident weaknesses due
to the signature-based approach adoption. Many alternative solutions were provided by the …

[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 …

[HTML][HTML] Cryptographic ransomware encryption detection: Survey

K Begovic, A Al-Ali, Q Malluhi - Computers & Security, 2023 - Elsevier
The ransomware threat has loomed over our digital life since 1989. Criminals use this type
of cyber attack to lock or encrypt victims' data, often coercing them to pay exorbitant amounts …

A system call refinement-based enhanced Minimum Redundancy Maximum Relevance method for ransomware early detection

YA Ahmed, B Koçer, S Huda, BAS Al-rimy… - Journal of Network and …, 2020 - Elsevier
Ransomware is a special type of malicious software that encrypts the user's assets and
makes it unavailable to the users until a ransom is paid to the ransomware author. Such …

Didroid: Android malware classification and characterization using deep image learning

A Rahali, AH Lashkari, G Kaur, L Taheri… - Proceedings of the …, 2020 - dl.acm.org
The unrivaled threat of android malware is the root cause of various security problems on
the internet. Although there are remarkable efforts in detection and classification of android …

Android ransomware detection based on a hybrid evolutionary approach in the context of highly imbalanced data

I Almomani, R Qaddoura, M Habib, S Alsoghyer… - IEEE …, 2021 - ieeexplore.ieee.org
In recent years, Ransomware has been a critical threat that attacks smartphones.
Ransomware is a kind of malware that blocks the mobile's system and prevents the user of …