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 …

[HTML][HTML] Internet of things and ransomware: Evolution, mitigation and prevention

M Humayun, NZ Jhanjhi, A Alsayat… - Egyptian Informatics …, 2021 - Elsevier
Internet of things architecture is the integration of real-world objects and places with the
internet. This booming in technology is bringing ease in our lifestyle and making formerly …

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 …

Malware classification and composition analysis: A survey of recent developments

A Abusitta, MQ Li, BCM Fung - Journal of Information Security and …, 2021 - Elsevier
Malware detection and classification are becoming more and more challenging, given the
complexity of malware design and the recent advancement of communication and …

[PDF][PDF] Ransomware, threat and detection techniques: A review

S Kok, A Abdullah, N Jhanjhi… - Int. J. Comput. Sci. Netw …, 2019 - academia.edu
The popularity of ransomware has created a unique ecosystem of cybercriminals. Therefore,
the objectives of this paper are to provide a thorough understanding of ransomware's threat …

Evaluation metric for crypto-ransomware detection using machine learning

SH Kok, A Azween, NZ Jhanjhi - Journal of Information Security and …, 2020 - Elsevier
Ransomware is a type of malware that blocks access to its victim's resources until a ransom
is paid. Crypto-ransomware is a type of ransomware that blocks access to its victim's files by …

Prevention of crypto-ransomware using a pre-encryption detection algorithm

SH Kok, A Abdullah, NZ Jhanjhi, M Supramaniam - Computers, 2019 - mdpi.com
Ransomware is a relatively new type of intrusion attack, and is made with the objective of
extorting a ransom from its victim. There are several types of ransomware attacks, but the …

A study on the evolution of ransomware detection using machine learning and deep learning techniques

DW Fernando, N Komninos, T Chen - IoT, 2020 - mdpi.com
This survey investigates the contributions of research into the detection of ransomware
malware using machine learning and deep learning algorithms. The main motivations for …

A pseudo feedback-based annotated TF-IDF technique for dynamic crypto-ransomware pre-encryption boundary delineation and features extraction

BAS Al-Rimy, MA Maarof, M Alazab, F Alsolami… - IEEE …, 2020 - ieeexplore.ieee.org
The cryptography employed against user files makes the effect of crypto-ransomware attacks
irreversible even after detection and removal. Thus, detecting such attacks early, ie during …

Detecting ransomware using process behavior analysis

A Arabo, R Dijoux, T Poulain, G Chevalier - Procedia Computer Science, 2020 - Elsevier
Ransomware attacks are one of the biggest and attractive threats in cyber security today.
Anti-virus software's are often inefficient against zero-day malware and ransomware attacks …