On the public citation graph
FastText-Based Local Feature Visualization Algorithm for Merged Image-Based Malware Classification Framework for Cyber Security and Cyber Defense
0 signed · 51 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/s11042-016-4209-1openalex-snapshot
A holistic approach for personalization, relevance feedback & recommendation in enriched multimedia content
inferredcites →https://doi.org/10.1007/s11042-019-7703-4openalex-snapshot
Affective social big data generation algorithm for autonomous controls by CRNN-based end-to-end controls
inferredcites →https://doi.org/10.1016/j.cose.2018.04.005openalex-snapshot
Malware identification using visualization images and deep learning
inferredcites →https://doi.org/10.1016/j.future.2018.07.052openalex-snapshot
Classification of ransomware families with machine learning based on N -gram of opcodes
inferredcites →https://doi.org/10.1016/j.ins.2011.08.020openalex-snapshot
Opcode sequences as representation of executables for data-mining-based unknown malware detection
inferredcites →https://doi.org/10.1109/access.2018.2805301openalex-snapshot
Malware Visualization for Fine-Grained Classification
inferredcites →https://doi.org/10.1109/access.2019.2952644openalex-snapshot
Energy Consumption in Point-Coverage Wireless Sensor Networks via Bat Algorithm
inferredcites →https://doi.org/10.1109/cicybs.2013.6597204openalex-snapshot
Image visualization based malware detection
inferredcites →https://doi.org/10.1109/icsai.2017.8248399openalex-snapshot
A malware detection system based on intermediate language
inferredcites →https://doi.org/10.1109/ntms.2018.8328749openalex-snapshot
Malware Classification with Deep Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/tii.2019.2953289openalex-snapshot
Energy-Aware Green Adversary Model for Cyberphysical Security in Industrial System
inferredcites →https://doi.org/10.1155/2014/260905openalex-snapshot
A Malware Detection Scheme Based on Mining Format Information
inferredcites →https://doi.org/10.1162/tacl_a_00051openalex-snapshot
Enriching Word Vectors with Subword Information
inferredcites →https://doi.org/10.1186/s13673-018-0125-xopenalex-snapshot
A state-of-the-art survey of malware detection approaches using data mining techniques
inferredcites →https://doi.org/10.1186/s13673-018-0128-7openalex-snapshot
User characteristics that influence judgment of social engineering attacks in social networks
inferredcites →https://doi.org/10.1186/s13673-018-0143-8openalex-snapshot
Reliability and high availability in cloud computing environments: a reference roadmap
inferredcites →https://doi.org/10.1201/9781315396705openalex-snapshot
Big Data in Complex and Social Networks
inferredcites →https://doi.org/10.1504/ijesdf.2007.016865openalex-snapshot
Opcodes as predictor for malware
inferredcites →https://doi.org/10.3390/math7100883openalex-snapshot
Automatic Melody Composition Using Enhanced GAN
inferredcites →https://doi.org/10.4236/jis.2014.52006openalex-snapshot
Malware Analysis and Classification: A Survey
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/spy2.70000openalex-snapshot
Enhancing Malware Detection With Deep Learning Convolutional Neural Networks: Investigating the Impact of Image Size Variations
inferred← citeshttps://doi.org/10.1007/978-3-032-15764-5_28openalex-snapshot
An End-to-End Deep Learning Approach for Malware Image Classification
inferred← citeshttps://doi.org/10.1007/978-981-97-1335-6_31openalex-snapshot
Deep Learning for Image Classification: A Review
inferred← citeshttps://doi.org/10.1007/s12559-026-10646-yopenalex-snapshot
Advanced Quantum Computing–Integrated Artificial Intelligence for Data Processing Applications: A Comprehensive Review
inferred← citeshttps://doi.org/10.1007/s44163-025-00551-yopenalex-snapshot
Word-embedding approach for unknown attributes in access control model
inferred← citeshttps://doi.org/10.1016/j.cose.2020.102133openalex-snapshot
Random CapsNet forest model for imbalanced malware type classification task
inferred← citeshttps://doi.org/10.1016/j.cose.2021.102247openalex-snapshot
Malware detection employed by visualization and deep neural network
inferred← citeshttps://doi.org/10.1016/j.cose.2021.102515openalex-snapshot
A novel malware classification and augmentation model based on convolutional neural network
inferred← citeshttps://doi.org/10.1016/j.cose.2022.102905openalex-snapshot
EII-MBS: Malware family classification via enhanced adversarial instruction behavior semantic learning
inferred← citeshttps://doi.org/10.1016/j.eswa.2026.133240openalex-snapshot
Obfuscation-resilient malware classification via spatial perception and multi-granular attention collaboration
inferred← citeshttps://doi.org/10.1057/s41288-022-00266-6openalex-snapshot
Cyber risk and cybersecurity: a systematic review of data availability
inferred← citeshttps://doi.org/10.1080/01969722.2021.2020471openalex-snapshot
On the Effectiveness of Image Processing Based Malware Detection Techniques
inferred← citeshttps://doi.org/10.1109/access.2026.3666249openalex-snapshot
X-MET: Multimodal Entropy–Visual Deep Learning Technique for Strengthening Cyber Governance and Resilient Digital Infrastructure
inferred← citeshttps://doi.org/10.1109/bigdata59044.2023.10386677openalex-snapshot
Enhancing Cyber Threat Hunting: A Visual Approach with the Forensic Visualization Toolkit
inferred← citeshttps://doi.org/10.1109/cisai54367.2021.00158openalex-snapshot
A Survey on Machine Learning-based Detection and Classification Technology of Malware
inferred← citeshttps://doi.org/10.1109/itoec63606.2025.10969063openalex-snapshot
Fusing multi-model features for malware classification
inferred← citeshttps://doi.org/10.3389/fpls.2023.1123696openalex-snapshot
Efficient Windows malware identification and classification scheme for plant protection information systems
inferred← citeshttps://doi.org/10.3390/app11146446openalex-snapshot
Visualized Malware Multi-Classification Framework Using Fine-Tuned CNN-Based Transfer Learning Models
inferred← citeshttps://doi.org/10.3390/app13042484openalex-snapshot
A New Framework for Visual Classification of Multi-Channel Malware Based on Transfer Learning
inferred← citeshttps://doi.org/10.3390/app15147747openalex-snapshot
Systematic Review: Malware Detection and Classification in Cybersecurity
inferred← citeshttps://doi.org/10.3390/math10122054openalex-snapshot
Mapping Tools for Open Source Intelligence with Cyber Kill Chain for Adversarial Aware Security
inferred← citeshttps://doi.org/10.3390/math11020416openalex-snapshot
Dynamic Extraction of Initial Behavior for Evasive Malware Detection
inferred← citeshttps://doi.org/10.3390/math11071743openalex-snapshot
Traffic Accident Detection Method Using Trajectory Tracking and Influence Maps
inferred← citeshttps://doi.org/10.3390/math11132884openalex-snapshot
Traffic Accident Detection Using Background Subtraction and CNN Encoder–Transformer Decoder in Video Frames
inferred← citeshttps://doi.org/10.3390/math9050530openalex-snapshot
DBTMPE: Deep Bidirectional Transformers-Based Masked Predictive Encoder Approach for Music Genre Classification
inferred← citeshttps://doi.org/10.3390/math9182274openalex-snapshot
3D-DCDAE: Unsupervised Music Latent Representations Learning Method Based on a Deep 3D Convolutional Denoising Autoencoder for Music Genre Classification
inferred← citeshttps://doi.org/10.54483/sajaar.2021.23.1.4openalex-snapshot
Cyber-security awareness of South African state-mandated public sector organisations
inferred← citeshttps://doi.org/10.62520/fujece.1582676openalex-snapshot
A Hybrid Deep Learning Approach for Image-based Malware Classification
inferred← citeshttps://doi.org/10.66224/jist.52165.14.53.67openalex-snapshot
Image-Based Phishing URL Classification Using Convolutional Neural Networks
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.