Malware Evolution and Detection Based on the Variable Precision Rough Set Model

QR Code

Malware Evolution and Detection Based on the Variable Precision Rough Set Model

Saved in:

Bibliographic Details
Main Authors:	Manel Jerbi, Zaineb Chelly Dagdia, Slim Bechikh, Lamjed Ben Said
Format:	Article
Language:	English
Published:	Polish Information Processing Society 2022-09-01
Series:	Annals of computer science and information systems
Online Access:	https://annals-csis.org/Volume_30/drp/pdf/266.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Clustering Corticosteroids Responsiveness in Sepsis Patients using Game-Theoretic Rough Sets
by: Rahma Hellali, et al.
Published: (2023-09-01)

Towards a Granular Computing Framework for Multiple Aspect Trajectory Representation and Privacy Preservation: Research Challenges and Opportunities
by: Zaineb Chelly Dagdia, et al.
Published: (2022-09-01)

A Review of the Recent Trends in Mobile Malware Evolution, Detection, and Analysis
by: Seetah Almarri, et al.
Published: (2025-01-01)

GDOM: Granulometry for the Detection of Obfuscated Malware
by: John A. Aruta, et al.
Published: (2020-01-01)

Rough soft sets and rough soft groups
by: Jayanta Ghosh, et al.
Published: (2013-06-01)

Systematic Review: Malware Detection and Classification in Cybersecurity
by: Sebastian Berrios, et al.
Published: (2025-07-01)

Malware-SeqGuard: An Approach Utilizing LSTM and GRU for Effective Detection of Evolving Malware in Android Environments
by: Muhammad Usama Tanveer, et al.
Published: (2025-01-01)

High precision synchronous acquisition of multi-source data for road roughness detection
by: Chen Xiaoyu, et al.
Published: (2024-02-01)

Active learning model used for android malware detection
by: Md․Habibullah Shakib, et al.
Published: (2025-09-01)

Practical Malware Analysis
by: D. A. Elizarov, et al.
Published: (2023-10-01)

Hybridization of Fuzzy Sets and Rough Sets: Achievements and Opportunities
by: Chris Cornelis
Published: (2022-09-01)

Sysmon event logs for machine learning-based malware detection
by: Riki Mi’roj Achmad, et al.
Published: (2025-12-01)

JDroid: Android malware detection using hybrid opcode feature vector
by: Recep Sinan Arslan
Published: (2025-07-01)

Fuzzy Quantifier-Based Fuzzy Rough Sets
by: Adnan Theerens, et al.
Published: (2022-09-01)

Ranking Rough Sets in Pawlak Approximation Spaces
by: Zoltán Ernő Csajbók, et al.
Published: (2018-09-01)

Static Analysis-based Detection of Android Malware using Machine Learning Algorithms
by: Omar Emad Saied, et al.
Published: (2025-09-01)

SNEL-DFF: Android malware detection using Siamese networks with ensemble learning
by: Atif Raza Zaidi, et al.
Published: (2025-09-01)

An incremental malware detection model for meta-feature API and system call sequence
by: Pushkar Kishore, et al.
Published: (2020-09-01)

Enhanced Android Malware Detect Models Based on Explainable Generative Adversarial Networks
by: Shamma Alshebli, et al.
Published: (2025-01-01)

A Context-Aware Android Malware Detection Approach Using Machine Learning
by: Mohammed N. AlJarrah, et al.
Published: (2022-11-01)

GSIDroid: A Suspicious Subgraph-Driven and Interpretable Android Malware Detection System
by: Hong Huang, et al.
Published: (2025-07-01)

Boosting Malware Detection with AlexNet and Optimized Neural Networks Using the Grasshopper Algorithm
by: Mohammed Aswad
Published: (2025-06-01)

A Robust and Efficient Machine Learning Framework for Enhancing Early Detection of Android Malware
by: Fandi Kurniawan, et al.
Published: (2025-01-01)

Enhancing Malware Detection via RGB Assembly Visualization and Hybrid Deep Learning Models
by: Esra Eroğlu Demirkan, et al.
Published: (2025-06-01)

Leveraging Image Analysis and Deep Convolutional Neural Networks for Cutting-Edge Malware Detection and Mitigation
by: Mohammad Mahmood Otoom, et al.
Published: (2025-06-01)

Deep Learning Approaches for Malware Detection: A Comprehensive Review of Techniques, Challenges, and Future Directions
by: Mohammad Alshoulie, et al.
Published: (2025-01-01)

A Transductive Zero-Shot Learning Framework for Ransomware Detection Using Malware Knowledge Graphs
by: Ping Wang, et al.
Published: (2025-05-01)

A Novel Approach to Android Malware Intrusion Detection Using Zero-Shot Learning GANs
by: Syed Atir Raza Shirazi, et al.
Published: (2023-12-01)

OPTISTACK: A Hybrid Ensemble Learning and XAI-Based Approach for Malware Detection in Compressed Files
by: Khaled Mahmud Sujon, et al.
Published: (2025-01-01)

Combination of Fuzzy Sets and Rough Sets for Machine Learning Purposes (Tutorial Lecture — Extended Abstract)
by: Chris Cornelis, et al.
Published: (2023-09-01)

Rough Sets Turn 40: From Information Systems to Intelligent Systems
by: Andrzej Skowron, et al.
Published: (2022-09-01)

Application of rough set theory on factors analysis of influencing the grain output
by: XIANG Li-guo, et al.
Published: (2003-05-01)

Precision site surveying and setting-out /
by: Tomalin, Gordon
Published: (1964)

A Hybrid CNN–BiLSTM Framework Optimized with Bayesian Search for Robust Android Malware Detection
by: Ibrahim Mutambik
Published: (2025-07-01)

Preference set-based design method for qualitative assessments using dominance-based rough set approach
by: Shotaro OYAMA, et al.
Published: (2025-04-01)

MIN-MAX SOLUTIONS FOR PARAMETRIC CONTINUOUS STATIC GAME UNDER ROUGHNESS (PARAMETERS IN THE COST FUNCTION AND FEASIBLE REGION IS A ROUGH SET)
by: Yousria A. Aboelnaga, et al.
Published: (2020-12-01)

“Trojan horse” malware as a mean for obtaining evidence in Italy
by: Francesco Caprioli
Published: (2017-06-01)

Roughing it /
by: Twain, Mark, 1835-1910
Published: (1965)

Feature Selection and Ranking Method based on Intuitionistic Fuzzy Matrix and Rough Sets
by: Bich Khue Vo, et al.
Published: (2022-09-01)

Rough Sets: Introduction, History and Selected Applications (Tutorial Lecture — Extended Abstract)
by: Soma Dutta, et al.
Published: (2023-09-01)