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 …

Securing the Industrial Internet of Things against ransomware attacks: A comprehensive analysis of the emerging threat landscape and detection mechanisms

M Al-Hawawreh, M Alazab, MA Ferrag… - Journal of Network and …, 2023 - Elsevier
Due to the complexity and diversity of Industrial Internet of Things (IIoT) systems, which
include heterogeneous devices, legacy and new connectivity protocols and systems, and …

Real-time vehicle detection based on improved yolo v5

Y Zhang, Z Guo, J Wu, Y Tian, H Tang, X Guo - Sustainability, 2022 - mdpi.com
To reduce the false detection rate of vehicle targets caused by occlusion, an improved
method of vehicle detection in different traffic scenarios based on an improved YOLO v5 …

Analysis of conti ransomware attack on computer network with live forensic method

R Umar, I Riadi, RS Kusuma - IJID (International Journal on …, 2021 - ejournal.uin-suka.ac.id
Ransomware viruses have become a dangerous threat increasing rapidly in recent years.
One of the variants is Conti ransomware that can spread infection and encrypt data …

An empirical evaluation of supervised learning methods for network malware identification based on feature selection

C Manzano, C Meneses, P Leger, H Fukuda - Complexity, 2022 - Wiley Online Library
Malware is a sophisticated, malicious, and sometimes unidentifiable application on the
network. The classifying network traffic method using machine learning shows to perform …

[PDF][PDF] Mitigating sodinokibi ransomware attack on cloud network using software-defined networking (SDN)

R Umar, I Riadi, RS Kusuma - International Journal of Safety and …, 2021 - researchgate.net
Accepted: 12 June 2021 Sodinokibi Ransomware virus becomes a severe threat by
targeting data encryption on a server, and this virus infection continues to spread to encrypt …

Enhanced Android Ransomware Detection Through Hybrid Simultaneous Swarm-Based Optimization

M Alazab, RA Khurma, D Camacho, A Martín - Cognitive Computation, 2024 - Springer
Ransomware is a significant security threat that poses a serious risk to the security of
smartphones, and its impact on portable devices has been extensively discussed in a …

Machine learning in automated detection of ransomware: Scope, benefits and challenges

V Thangapandian - Illumination of Artificial Intelligence in Cybersecurity …, 2022 - Springer
Background Ransomware is a special kind of malware which is rapidly blooming around the
world in different forms. In recent times, Ransomware plays havoc in individual and …

Analyzing Data Theft Ransomware Traffic Patterns Using BERT

G Almeida, F Vasconcelos - 2023 - preprints.org
This research looks into the evolving dynamics of ransomware, shifting from conventional
encryption-based attacks to sophisticated data exfiltration strategies. Employing the …

[PDF][PDF] Developing an effective detection framework for targeted ransomware attacks in brownfield industrial internet of things

M Al-Hawawreh - 2022 - unsworks.unsw.edu.au
Abstract The Industrial Internet of Things (IIoT) is being interconnected with many critical
industrial activities, creating major cyber security concerns. The key concern lies with edge …