On the public citation graph

A Hybrid Cryptographic Mechanism for Secure Data Transmission in Edge AI Networks

https://doi.org/10.1007/s44196-024-00417-8
0 signed · 52 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.
Claim with ORCID
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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-41110-7_6openalex-snapshot
Security of Distributed Intelligence in Edge Computing: Threats and Countermeasures
inferredcites →https://doi.org/10.1007/978-3-031-24628-9_16openalex-snapshot
Autoencoders
inferredcites →https://doi.org/10.1007/s11276-023-03372-yopenalex-snapshot
Secured wireless sensor networks using hybrid Rivest Shamir Adleman with ant lion optimization algorithm
inferredcites →https://doi.org/10.1007/s13369-021-06348-2openalex-snapshot
AI-Based Mobile Edge Computing for IoT: Applications, Challenges, and Future Scope
inferredcites →https://doi.org/10.1016/b978-0-323-90548-0.00005-xopenalex-snapshot
An efficient lightweight speck technique for edge-IoT-based smart healthcare systems
inferredcites →https://doi.org/10.1016/j.comcom.2021.09.029openalex-snapshot
AI-empowered, blockchain and SDN integrated security architecture for IoT network of cyber physical systems
inferredcites →https://doi.org/10.1016/j.comnet.2021.108671openalex-snapshot
Privacy-preserving blockchain-enabled federated learning for B5G-Driven edge computing
inferredcites →https://doi.org/10.1016/j.compeleceng.2021.107440openalex-snapshot
Security and privacy-aware Artificial Intrusion Detection System using Federated Machine Learning
inferredcites →https://doi.org/10.1016/j.csi.2022.103640openalex-snapshot
An adaptive access control scheme based on trust degrees for edge computing
inferredcites →https://doi.org/10.1016/j.engappai.2020.103737openalex-snapshot
Towards privacy preserving AI based composition framework in edge networks using fully homomorphic encryption
inferredcites →https://doi.org/10.1016/j.inffus.2020.07.009openalex-snapshot
Federated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy
inferredcites →https://doi.org/10.1049/cth2.12230openalex-snapshot
Fractional‐order fuzzy PID controller design on buck converter with antlion optimization algorithm
inferredcites →https://doi.org/10.1108/ijicc-05-2021-0099openalex-snapshot
Emphasizing privacy and security of edge intelligence with machine learning for healthcare
inferredcites →https://doi.org/10.1109/access.2020.3011503openalex-snapshot
A Secured Framework for SDN-Based Edge Computing in IoT-Enabled Healthcare System
inferredcites →https://doi.org/10.1109/bigdatasecurity-hpsc-ids58521.2023.00042openalex-snapshot
Honey2Fish - A Hybrid Encryption Approach for Improved Password and Message Security
inferredcites →https://doi.org/10.1109/comst.2021.3062546openalex-snapshot
Survey on Multi-Access Edge Computing Security and Privacy
inferredcites →https://doi.org/10.1109/cscn.2019.8931357openalex-snapshot
Realizing Multi-Access Edge Computing Feasibility: Security Perspective
inferredcites →https://doi.org/10.1109/fmec49853.2020.9144755openalex-snapshot
Towards Security and Privacy for Edge AI in IoT/IoE based Digital Marketing Environments
inferredcites →https://doi.org/10.1109/jiot.2020.2984887openalex-snapshot
Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence
inferredcites →https://doi.org/10.1109/jiot.2020.3015432openalex-snapshot
A Survey on Security and Privacy Issues in Edge-Computing-Assisted Internet of Things
inferredcites →https://doi.org/10.1109/jiot.2021.3098051openalex-snapshot
Machine-Learning-Assisted Security and Privacy Provisioning for Edge Computing: A Survey
inferredcites →https://doi.org/10.1109/jiot.2021.3125190openalex-snapshot
A Blockchain-Based Shamir’s Threshold Cryptography Scheme for Data Protection in Industrial Internet of Things Settings
inferredcites →https://doi.org/10.1109/jproc.2019.2918951openalex-snapshot
Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing
inferredcites →https://doi.org/10.1109/tcc.2021.3134015openalex-snapshot
MSIAP: A Dynamic Searchable Encryption for Privacy-Protection on Smart Grid With Cloud-Edge-End
inferredcites →https://doi.org/10.1109/tcss.2021.3092746openalex-snapshot
A Security- and Privacy-Preserving Approach Based on Data Disturbance for Collaborative Edge Computing in Social IoT Systems
inferredcites →https://doi.org/10.1109/tetci.2021.3111636openalex-snapshot
Efficient Privacy Preserving Edge Intelligent Computing Framework for Image Classification in IoT
inferredcites →https://doi.org/10.1109/tii.2019.2902878openalex-snapshot
Artificial Intelligence-Driven Mechanism for Edge Computing-Based Industrial Applications
inferredcites →https://doi.org/10.1109/tii.2019.2957130openalex-snapshot
An AI-Enabled Three-Party Game Framework for Guaranteed Data Privacy in Mobile Edge Crowdsensing of IoT
inferredcites →https://doi.org/10.1109/tsc.2022.3155447openalex-snapshot
AI-Enabled Secure Microservices in Edge Computing: Opportunities and Challenges
inferredcites →https://doi.org/10.1145/3555802openalex-snapshot
Edge Computing with Artificial Intelligence: A Machine Learning Perspective
inferredcites →https://doi.org/10.1155/2020/8872586openalex-snapshot
Artificial Intelligence for Securing IoT Services in Edge Computing: A Survey
inferredcites →https://doi.org/10.1186/s13677-020-00214-6openalex-snapshot
A secure data deduplication system for integrated cloud-edge networks
inferredcites →https://doi.org/10.3390/s23073612openalex-snapshot
Managing Security of Healthcare Data for a Modern Healthcare System
inferredcites →https://doi.org/10.3390/sym12050754openalex-snapshot
IntruDTree: A Machine Learning Based Cyber Security Intrusion Detection Model

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.5580990openalex-extracted
A Computational Intelligence Framework for Financial Fraud Detection Aligned with Sustainable Development Goals
inferred← citeshttps://doi.org/10.1007/978-3-032-08600-6_11openalex-snapshot
Lightweight Data Encryption on EdgeAI Platforms: A Systematic Review
inferred← citeshttps://doi.org/10.1007/s10115-025-02613-0openalex-snapshot
Integration of artificial intelligence with information security: a systematic literature review
inferred← citeshttps://doi.org/10.1007/s42979-025-03946-xopenalex-snapshot
Secure Hybrid Data Transmission Protocol for WSN with Key Management and Message Authentication
inferred← citeshttps://doi.org/10.1007/s44196-024-00506-8openalex-snapshot
A Region-Selective Anti-compression Image Encryption Algorithm Based on Deep Networks
inferred← citeshttps://doi.org/10.1016/j.energy.2024.132625openalex-snapshot
Deep learning based approaches to enhance energy efficiency in autonomous driving systems
inferred← citeshttps://doi.org/10.1038/s41598-025-21861-2openalex-snapshot
Hybrid cryptographic approach for strengthening IoT and 5G/B5G network security
inferred← citeshttps://doi.org/10.1038/s41598-026-35238-6openalex-snapshot
Efficient feature ranked hybrid framework for android Iot malware detection
inferred← citeshttps://doi.org/10.1109/icait61638.2024.10690379openalex-snapshot
Efficient Message Transmission Using Hybrid Cryptography
inferred← citeshttps://doi.org/10.1109/icepes60647.2024.10653598openalex-snapshot
AI-Powered Secure Decentralized Energy Transactions in Smart Grids: Enhancing Security and Efficiency
inferred← citeshttps://doi.org/10.1109/icicacs68679.2026.11578461openalex-snapshot
Multi-Agent Transformer Learning with Swarm- Intelligent Secure Routing Optimization based Framework for Secure Multimedia Communication in Wireless Sensor Networks
inferred← citeshttps://doi.org/10.1109/icmctc62214.2025.11196383openalex-snapshot
Neural Cybersecurity AI-Driven Deep Learning for Real-Time Threat Detection and Autonomous Defence
inferred← citeshttps://doi.org/10.1109/icscss64956.2025.11500829openalex-snapshot
Optimized Hybrid Cryptography with Machine Learning for Securing IoT-Driven Banking in Cloud Environments
inferred← citeshttps://doi.org/10.1109/iscait64916.2025.11010328openalex-snapshot
The application of edge artificial intelligence in the Internet of Battlefield Things
inferred← citeshttps://doi.org/10.1145/3712016openalex-snapshot
Artificial Intelligence as a Service (AIaaS) for Cloud, Fog and the Edge: State-of-the-Art Practices
inferred← citeshttps://doi.org/10.2139/ssrn.5382142openalex-snapshot
Power Electronics for IoT-Enabled Smart Grids and Industrial Automation
inferred← citeshttps://doi.org/10.3103/s1060992x25602350openalex-snapshot
Secure Cloud-Enabled IoT Framework for Colon Cancer Prediction and Diagnosis using ARNN with Levenberg–Marquardt Optimization
inferred← citeshttps://doi.org/10.46604/aiti.2024.14114openalex-snapshot
A Novel Data Transmission Model Using Hybrid Encryption Scheme for Preserving Data Integrity
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.