On the public citation graph
Deep Learning-Based Malicious Smart Contract and Intrusion Detection System for IoT Environment
0 signed · 93 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known work and none has been retracted — and get a dated CiteStamped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/10.1002/ett.4112openalex-snapshot
A Distributed framework for detecting DDoS attacks in smart contract‐based Blockchain‐IoT Systems by leveraging Fog computing
inferredcites →https://doi.org/10.1002/ett.4176openalex-snapshot
Fusion of blockchain and artificial intelligence for secure drone networking underlying 5G communications
inferredcites →https://doi.org/10.1002/spy2.96openalex-snapshot
Utilization of blockchain for mitigating the distributed denial of service attacks
inferredcites →https://doi.org/10.1007/978-3-030-02744-5_35openalex-snapshot
Position Paper on Blockchain Technology: Smart Contract and Applications
inferredcites →https://doi.org/10.1016/j.compeleceng.2021.107583openalex-snapshot
Deep learning-based malicious smart contract detection scheme for internet of things environment
inferredcites →https://doi.org/10.1016/j.compeleceng.2022.108129openalex-snapshot
K-nearest neighbour-based smart contract for internet of medical things security using blockchain
inferredcites →https://doi.org/10.1016/j.jlamp.2022.100772openalex-snapshot
A lightweight approach to smart contracts supporting safety, security, and privacy
inferredcites →https://doi.org/10.1016/j.vehcom.2021.100401openalex-snapshot
B-IoMV: Blockchain-based onion routing protocol for D2D communication in an IoMV environment beyond 5G
inferredcites →https://doi.org/10.1109/access.2018.2827027openalex-snapshot
Design of an Anonymity-Preserving Group Formation Based Authentication Protocol in Global Mobility Networks
inferredcites →https://doi.org/10.1109/access.2020.2969429openalex-snapshot
Towards Automated Reentrancy Detection for Smart Contracts Based on Sequential Models
inferredcites →https://doi.org/10.1109/access.2020.2993803openalex-snapshot
Facial Sentiment Analysis Using AI Techniques: State-of-the-Art, Taxonomies, and Challenges
inferredcites →https://doi.org/10.1109/access.2022.3147795openalex-snapshot
Novel and Secure Blockchain Framework for Health Applications in IoT
inferredcites →https://doi.org/10.1109/aiiot54504.2022.9817349openalex-snapshot
Towards A Lightweight Identity Management and Secure Authentication for IoT Using Blockchain
inferredcites →https://doi.org/10.1109/iotsms48152.2019.8939256openalex-snapshot
SoliAudit: Smart Contract Vulnerability Assessment Based on Machine Learning and Fuzz Testing
inferredcites →https://doi.org/10.1109/isncc52172.2021.9615702openalex-snapshot
Cryptocurrency Crime: Behaviors of Malicious Smart Contracts in Blockchain
inferredcites →https://doi.org/10.1109/jiot.2020.2996590openalex-snapshot
A Deep Blockchain Framework-Enabled Collaborative Intrusion Detection for Protecting IoT and Cloud Networks
inferredcites →https://doi.org/10.1109/jiot.2020.3028773openalex-snapshot
Blockchain for Secure-GaS: Blockchain-Powered Secure Natural Gas IoT System With AI-Enabled Gas Prediction and Transaction in Smart City
inferredcites →https://doi.org/10.1109/jiot.2021.3106355openalex-snapshot
Optimal Deployment Mechanism of Blockchain in Resource-Constrained IoT Systems
inferredcites →https://doi.org/10.1109/jiot.2021.3106942openalex-snapshot
ATOM: Architectural Support and Optimization Mechanism for Smart Contract Fast Update and Execution in Blockchain-Based IoT
inferredcites →https://doi.org/10.1109/jiot.2021.3109314openalex-snapshot
AI-Envisioned Blockchain-Enabled Signature-Based Key Management Scheme for Industrial Cyber–Physical Systems
inferredcites →https://doi.org/10.1109/tla.2021.9461849openalex-snapshot
Towards Blockchain for Suitable Efficiency and Data Integrity of IoT Ecosystem Transactions
inferredcites →https://doi.org/10.1145/3274694.3274743openalex-snapshot
Finding The Greedy, Prodigal, and Suicidal Contracts at Scale
inferredcites →https://doi.org/10.26599/tst.2021.9010046openalex-snapshot
Task offloading strategy with emergency handling and blockchain security in SDN-empowered and fog-assisted healthcare IoT
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/dac.70071openalex-snapshot
Optimizing Blockchain Communication Systems Security With Deep Logic Sparse Autoencoder and Kookaburra Search–Based Intrusion Detection
inferred← citeshttps://doi.org/10.1002/ett.70116openalex-snapshot
Secure Transactions in IoT Network Using PINN ‐Based Intrusion Detection System and HDPoA Blockchain Protocol
inferred← citeshttps://doi.org/10.1002/ett.70378openalex-snapshot
DLB ‐ IoT IDS : Deep Learning and Blockchain Based IoT Intrusion Detection and Prevention System
inferred← citeshttps://doi.org/10.1002/nem.2295openalex-snapshot
Intrusion Detection for Blockchain‐Based Internet of Things Using Gaussian Mixture–Fully Convolutional Variational Autoencoder Model
inferred← citeshttps://doi.org/10.1002/spy2.429openalex-snapshot
Network intrusion detection system for IoT security using machine learning and statistical based hybrid feature selection
inferred← citeshttps://doi.org/10.1002/spy2.70071openalex-snapshot
A Secure and Adaptive Framework for Enhancing Intrusion Detection in IoT Networks Using Incremental Learning and Blockchain
inferred← citeshttps://doi.org/10.1007/978-3-031-44084-7_30openalex-snapshot
Detecting the Attacks Using Blockchain-Based Decentralized Security Architecture in IoT Environment
inferred← citeshttps://doi.org/10.1007/978-3-031-71315-6_28openalex-snapshot
Enhancing Security and Scalability in IoT Networks Applying Blockchain Technology
inferred← citeshttps://doi.org/10.1007/978-981-96-6348-4_19openalex-snapshot
Anomaly Detection in IoT Networks Using WGAN-GP
inferred← citeshttps://doi.org/10.1007/s00500-023-09610-xopenalex-snapshot
RETRACTED ARTICLE: Class imbalance data handling with optimal deep learning-based intrusion detection in IoT environment
inferred← citeshttps://doi.org/10.1007/s10207-025-01128-7openalex-snapshot
Intrusion detection in IoT network using temporal wavelet augmented deep dense and LSTM auto-encoders
inferred← citeshttps://doi.org/10.1007/s11042-024-18323-8openalex-snapshot
Survey on identification and prediction of security threats using various deep learning models on software testing
inferred← citeshttps://doi.org/10.1007/s11042-024-20059-4openalex-snapshot
RETRACTED ARTICLE: Cyber-XAI-Block: an end-to-end cyber threat detection & fl-based risk assessment framework for iot enabled smart organization using xai and blockchain technologies
inferred← citeshttps://doi.org/10.1007/s41870-025-02787-4openalex-snapshot
$$MV^{2}AE$$: multi-view learning with feature extraction using autoencoders to identify IoT network attacks
inferred← citeshttps://doi.org/10.1016/j.bcra.2023.100148openalex-snapshot
ADEFGuard: Anomaly detection framework based on Ethereum smart contracts behaviours
inferred← citeshttps://doi.org/10.1016/j.bcra.2024.100227openalex-snapshot
A review on deep anomaly detection in blockchain
inferred← citeshttps://doi.org/10.1016/j.bcra.2025.100304openalex-snapshot
DBESN: A novel model for detecting and identifying malicious code in a smart contract
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2025.110265openalex-snapshot
Machine learning-inspired intrusion detection system for IoT: Security issues and future challenges
inferred← citeshttps://doi.org/10.1016/j.cose.2023.103560openalex-snapshot
A cognitive security framework for detecting intrusions in IoT and 5G utilizing deep learning
inferred← citeshttps://doi.org/10.1016/j.dajour.2023.100233openalex-snapshot
A new two-phase intrusion detection system with Naïve Bayes machine learning for data classification and elliptic envelop method for anomaly detection
inferred← citeshttps://doi.org/10.1016/j.iot.2024.101307openalex-snapshot
Blockchain-based IoT security solutions for IDS research centers
inferred← citeshttps://doi.org/10.1016/j.procs.2025.04.205openalex-snapshot
An Efficient and Robust Framework for IoT Security using Machine Learning Techniques
inferred← citeshttps://doi.org/10.1016/j.vehcom.2025.100961openalex-snapshot
Blockchain-enabled intrusion detection systems for real-time vehicle monitoring
inferred← citeshttps://doi.org/10.1038/s41598-024-84691-8openalex-snapshot
An intelligent attention based deep convoluted learning (IADCL) model for smart healthcare security
inferred← citeshttps://doi.org/10.1038/s41598-025-06568-8openalex-snapshot
Blockchain enhanced distributed denial of service detection in IoT using deep learning and evolutionary computation
inferred← citeshttps://doi.org/10.1038/s41598-025-87454-1openalex-snapshot
Privacy-preserving approach for IoT networks using statistical learning with optimization algorithm on high-dimensional big data environment
inferred← citeshttps://doi.org/10.1038/s41598-026-45701-zopenalex-snapshot
ADeepCRF: real-time threat detection in IoT network using blockchain-based advanced proof of authority and adaptive deep conditional random fields
inferred← citeshttps://doi.org/10.1080/07366981.2025.2498222openalex-snapshot
Analysis of deep learning-based intrusion detection systems in IoT environments
inferred← citeshttps://doi.org/10.1109/access.2023.3349287openalex-snapshot
A Survey of Deep Learning Technologies for Intrusion Detection in Internet of Things
inferred← citeshttps://doi.org/10.1109/access.2024.3359595openalex-snapshot
Intrusion Detection With Deep Learning Classifiers: A Synergistic Approach of Probabilistic Clustering and Human Expertise to Reduce False Alarms
inferred← citeshttps://doi.org/10.1109/access.2024.3392618openalex-snapshot
Enhancing Security in IoT-Assisted UAV Networks Using Adaptive Mongoose Optimization Algorithm With Deep Learning
inferred← citeshttps://doi.org/10.1109/access.2024.3441094openalex-snapshot
Securing Consumer Electronics Devices: A Blockchain-Based Access Management Approach Enhanced by Deep Learning Threat Modeling for IoT Ecosystems
inferred← citeshttps://doi.org/10.1109/access.2024.3443202openalex-snapshot
Distributed Multiclass Cyberattack Detection Using Golden Jackal Optimization With Deep Learning Model for Securing IoT Networks
inferred← citeshttps://doi.org/10.1109/access.2024.3462735openalex-snapshot
BlockDLO: Blockchain Computing With Deep Learning Orchestration for Secure Data Communication in IoT Environment
inferred← citeshttps://doi.org/10.1109/access.2024.3486605openalex-snapshot
A Scalable Security Approach in IoT Networks: Smart Contracts and Anomaly-Based IDS for Gateways Using Hardware Accelerators
inferred← citeshttps://doi.org/10.1109/access.2024.3519132openalex-snapshot
A Metaheuristic Approach to Detecting and Mitigating DDoS Attacks in Blockchain-Integrated Deep Learning Models for IoT Applications
inferred← citeshttps://doi.org/10.1109/acet67282.2025.11430274openalex-snapshot
Lightweight Blockchain-Driven Intrusion Detection for Tamper-Proof and Distributed IoT Security
inferred← citeshttps://doi.org/10.1109/cits61189.2024.10607986openalex-snapshot
EL-FAM: Power System Intrusion Detection with Ensemble Learning for False Alarm Mitigation
inferred← citeshttps://doi.org/10.1109/cmss69636.2026.11688872openalex-snapshot
Blockchain-Assisted IoT Intrusion Detection Systems: A Survey of Contemporary Gaps, Advanced Paradigms, and Empirical Framework Evaluation
inferred← citeshttps://doi.org/10.1109/ic-etite58242.2024.10493229openalex-snapshot
Enhanced Metaheuristics with Deep Learning Model for Blockchain Assisted Cyber Security Solution in Internet of Things Environment
inferred← citeshttps://doi.org/10.1109/icdcece65353.2025.11035878openalex-snapshot
Blockchain-Enabled Smart Contract Design and Development with Hybrid Deep Learning Model
inferred← citeshttps://doi.org/10.1109/icesc65114.2025.11212351openalex-snapshot
AI-Driven Fraud Detection in IoT-Enabled Payment Ecosystems: Challenges, Hybrid Edge-Cloud Framework, and Emerging Trends
inferred← citeshttps://doi.org/10.1109/icicnct66124.2025.11232856openalex-snapshot
Autoencoder-Driven Framework for Zero-Day Vulnerability Detection in Ethereum Contracts
inferred← citeshttps://doi.org/10.1109/icipcn67432.2026.11438399openalex-snapshot
A Development of Clustered Edge Subjected Trust Assessment in Federated Learning (FL) Assisted Digital Twin based Internet of Things Environment
inferred← citeshttps://doi.org/10.1109/ictbig68706.2025.11323865openalex-snapshot
Advanced Deep Learning Architectures for Enhanced Predictive Accuracy in Decentralized Blockchain-Based Risk Mitigation
inferred← citeshttps://doi.org/10.1109/incsst64791.2025.11210260openalex-snapshot
A Review Paper of Threats and an AI-Powered Malware Detection Model
inferred← citeshttps://doi.org/10.1109/inspect63485.2024.10896183openalex-snapshot
Towards the Machine Learning Techniques Based Network Intrusion Detection System
inferred← citeshttps://doi.org/10.1109/rfcon62306.2025.11085268openalex-snapshot
Enhancing Security in Wireless Sensor Networks with a Deep Learning and Game Theory-Based Hybrid Model for Malicious Node Detection
inferred← citeshttps://doi.org/10.1109/satc65530.2025.11136959openalex-snapshot
Intrusion Detection in IoT Networks Using Hyperdimensional Computing: A Case Study on the NSL-KDD Dataset
inferred← citeshttps://doi.org/10.1142/s0218348x25400365openalex-snapshot
LEVERAGING BLOCKCHAIN WITH CHAOTIC OPPOSITIONAL BARNACLES MATING OPTIMIZER-BASED DEEP LEARNING MODEL FOR SECURE IOT ENVIRONMENT IN CONSUMER ELECTRONICS
inferred← citeshttps://doi.org/10.1142/s0218348x25400444openalex-snapshot
HARNESSING BLOCKCHAIN WITH ENSEMBLE DEEP LEARNING-BASED DISTRIBUTED DOS ATTACK DETECTION IN IOT-ASSISTED SECURE CONSUMER ELECTRONICS SYSTEMS
inferred← citeshttps://doi.org/10.1145/3789418.3789441openalex-snapshot
Bioluminescent Filament-Inspired AI for Adaptive Smart Contract Intrusion Detection
inferred← citeshttps://doi.org/10.1155/int/9925751openalex-snapshot
Large‐Scale Benchmarking of Intrusion Detection Datasets With GPU‐Accelerated Data Pipelines, Complexity Analysis, and Model Evaluation
inferred← citeshttps://doi.org/10.1186/s13635-024-00158-3openalex-snapshot
Machine learning security and privacy: a review of threats and countermeasures
inferred← citeshttps://doi.org/10.12720/jait.16.12.1820-1835openalex-snapshot
A Comprehensive Study on Deep Learning Techniques for IoT Security
inferred← citeshttps://doi.org/10.1590/1678-4324-2024231010openalex-snapshot
Modeling of Intrusion Detection System Using Double Adaptive Weighting Arithmetic Optimization Algorithm with Deep Learning on Internet of Things Environment
inferred← citeshttps://doi.org/10.17559/tv-20250308002449openalex-snapshot
Gannet Optimization Algorithm with Attention Enhanced Deep Learning for Intrusions Detecting in IoT
inferred← citeshttps://doi.org/10.21203/rs.3.rs-3182953/v1openalex-snapshot
Hardening the IoT Communication Networks using a Machine Learning Approach based on LSTM and Autoencoder
inferred← citeshttps://doi.org/10.22399/ijcesen.395openalex-snapshot
Performance Evaluation of Predicting IoT Malicious Nodes Using Machine Learning Classification Algorithms
inferred← citeshttps://doi.org/10.26634/jcom.11.3.20182openalex-snapshot
A method for the identification of denial of service (DoS) attack in network traffic using machine learning techniques
inferred← citeshttps://doi.org/10.3390/computers14100425openalex-snapshot
Rethinking Blockchain Governance with AI: The VOPPA Framework
inferred← citeshttps://doi.org/10.3390/electronics12183893openalex-snapshot
Malicious Contract Detection for Blockchain Network Using Lightweight Deep Learning Implemented through Explainable AI
inferred← citeshttps://doi.org/10.3390/math11061365openalex-snapshot
CNN and Bidirectional GRU-Based Heartbeat Sound Classification Architecture for Elderly People
inferred← citeshttps://doi.org/10.3390/math11081887openalex-snapshot
Blockchain-Assisted Hybrid Harris Hawks Optimization Based Deep DDoS Attack Detection in the IoT Environment
inferred← citeshttps://doi.org/10.3390/math11163552openalex-snapshot
P4-HLDMC: A Novel Framework for DDoS and ARP Attack Detection and Mitigation in SD-IoT Networks Using Machine Learning, Stateful P4, and Distributed Multi-Controller Architecture
inferred← citeshttps://doi.org/10.3390/s23198044openalex-snapshot
ROAST-IoT: A Novel Range-Optimized Attention Convolutional Scattered Technique for Intrusion Detection in IoT Networks
inferred← citeshttps://doi.org/10.3390/systems11080436openalex-snapshot
VBQ-Net: A Novel Vectorization-Based Boost Quantized Network Model for Maximizing the Security Level of IoT System to Prevent Intrusions
inferred← citeshttps://doi.org/10.4108/eetsis.5572openalex-snapshot
Quantum Deep Neural Network Based Classification of Attack Vectors on the Ethereum Blockchain
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.