Opportunities for early detection and prediction of ransomware attacks against industrial control systems

M Gazzan, FT Sheldon - Future Internet, 2023 - mdpi.com
Industrial control systems (ICS) and supervisory control and data acquisition (SCADA)
systems, which control critical infrastructure such as power plants and water treatment …

Network optimization using defender system in cloud computing security based intrusion detection system withgame theory deep neural network (IDSGT-DNN)

E Balamurugan, A Mehbodniya, E Kariri, K Yadav… - Pattern recognition …, 2022 - Elsevier
Cloud computing leads an organization for data storage, sharing, processing, and other
services. It was subjected to several challenges insecurity due to the presence of regular …

A boosting ensemble learning based hybrid light gradient boosting machine and extreme gradient boosting model for predicting house prices

R Sibindi, RW Mwangi, AG Waititu - Engineering Reports, 2023 - Wiley Online Library
The implementation of tree‐ensemble models has become increasingly essential in solving
classification and prediction problems. Boosting ensemble techniques have been widely …

Systematic Literature Review on Cloud Computing Security: Threats and Mitigation Strategies

S Ahmadi - Ahmadi, S.(2024) Systematic Literature Review on …, 2024 - papers.ssrn.com
Cloud computing plays a significant role in modern information technology, providing
organizations with numerous benefits, including flexibility, scalability, and cost-efficiency …

Cubical homology-based machine learning: An application in image classification

S Choe, S Ramanna - Axioms, 2022 - mdpi.com
Persistent homology is a powerful tool in topological data analysis (TDA) to compute, study,
and encode efficiently multi-scale topological features and is being increasingly used in …

[HTML][HTML] A hybrid ensemble learning approach utilizing light gradient boosting machine and category boosting model for lifestyle-based prediction of type-II diabetes …

M Nagassou, RW Mwangi, E Nyarige - Journal of Data Analysis and …, 2023 - scirp.org
Addressing classification and prediction challenges, tree ensemble models have gained
significant importance. Boosting ensemble techniques are commonly employed for …

MalAF: Malware Attack Foretelling From Run-Time Behavior Graph Sequence

C Liu, B Li, J Zhao, X Liu, C Li - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Foretelling ongoing malware attacks in real time is challenging due to the stealthy and
polymorphic nature of their executive behavior patterns. In this paper, we present MalAF, a …

[PDF][PDF] Intrusion detection system in cloud security using deep convolutional network

P Varun, K Ashokkumar - Appl. Math. Inf. Sci, 2022 - digitalcommons.aaru.edu.jo
When it comes to data processing, sharing, and storage, cloud computing is the industry
standard. Due to the frequent attacks, it faced a number of security issues. The existence of …

Boosting and bagging classification for computer science journal.

NS Fanany Putri, AP Wibawa… - … of Advances in …, 2023 - search.ebscohost.com
In recent years, data processing has become an issue across all disciplines. Good data
processing can provide decision-making recommendations. Data processing is covered in …

Comparative Analysis of Predicting Malware Attack Trends in Cyber Supply Chain Using Multiple Classification Models

S Li - IEEE Access, 2024 - ieeexplore.ieee.org
This paper investigates the prediction of malware attack trends within the cyber supply chain
domain using data sourced from Microsoft Malware Prediction and Research Prediction for …