Ransomware reloaded: Re-examining its trend, research and mitigation in the era of data exfiltration

T McIntosh, T Susnjak, T Liu, D Xu, P Watters… - ACM Computing …, 2024 - dl.acm.org
Ransomware has grown to be a dominant cybersecurity threat by exfiltrating, encrypting, or
destroying valuable user data and causing numerous disruptions to victims. The severity of …

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] 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 …

[HTML][HTML] RanSAP: An open dataset of ransomware storage access patterns for training machine learning models

M Hirano, R Hodota, R Kobayashi - Forensic Science International: Digital …, 2022 - Elsevier
Ransomware, the malicious software that encrypts user files to demand a ransom payment,
is one of the most common and persistent threats. Cyber-criminals create new ransomware …

RWArmor: a static-informed dynamic analysis approach for early detection of cryptographic windows ransomware

MA Ayub, A Siraj, B Filar, M Gupta - International Journal of Information …, 2024 - Springer
Ransomware attacks have captured news headlines worldwide for the last few years due to
their criticality and intensity. Ransomware-as-a-service (RaaS) kits are aiding adversaries to …

Ransomware detection using machine learning: A review, research limitations and future directions

J Ispahany, MDR Islam, MZ Islam, MA Khan - IEEE Access, 2024 - ieeexplore.ieee.org
Ransomware attacks are on the rise in terms of both frequency and impact. The shift to
remote work due to the COVID-19 pandemic has led more people to work online, prompting …

Limits of i/o based ransomware detection: An imitation based attack

C Zhou, L Guo, Y Hou, Z Ma, Q Zhang… - … IEEE symposium on …, 2023 - ieeexplore.ieee.org
By encrypting the data of infected hosts, cryptographic ransomware has caused billions of
dollars in financial losses to a wide range of victims. Many detection techniques have been …

It's too late if exfiltrate: Early stage Android ransomware detection

N Singh, S Tripathy - Computers & Security, 2024 - Elsevier
Ransomware attacks disrupt and disable systems, demanding a ransom from the victim to
restore functionality. Most of the state-of-the-art approaches focus on analyzing their …

Ranker: Early ransomware detection through kernel-level behavioral analysis

H Zhang, L Zhao, A Yu, L Cai… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Ransomware is a rapidly evolving type of malware crafted to encrypt user files, rendering
them inaccessible and demanding a ransom. The impact of ransomware attacks on both …