On the public citation graph

A Comprehensive Study on the Role of Machine Learning in 5G Security: Challenges, Technologies, and Solutions

0 signed · 184 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.

1 of the 123 references listed on this page is in the Retraction Watch database as retracted (export 2026-11-11): 10.1007/s00500-019-04097-x (notice 2024-09-03).

Dataset join, best-effort; this page does not check the publisher record. Retraction Watch data via Crossref Labs, used with credit; OpenCitations Index (CC0) and Meta (CC BY 4.0); dataset doi:10.7910/DVN/WT8VOA (CC BY 4.0).

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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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/10.1002/ett.2915openalex-snapshot
SDN‐based 5G mobile networks: architecture, functions, procedures and backward compatibility
inferredcites →https://doi.org/10.1007/978-3-030-72777-2openalex-snapshot
6G Mobile Wireless Networks
inferredcites →https://doi.org/10.1007/978-3-319-34208-5openalex-snapshot
5G Mobile Communications
inferredcites →https://doi.org/10.1007/978-3-319-47343-7openalex-snapshot
Cloud Based 5G Wireless Networks
inferredcites →https://doi.org/10.1007/978-981-16-2008-9openalex-snapshot
Applied Information Processing Systems
inferredcites →https://doi.org/10.1007/s00500-019-04097-xopenalex-snapshot
RETRACTED ARTICLE: A novel linear SVM-based compressive collaborative spectrum sensing (CCSS) scheme for IoT cognitive 5G network
inferredcites →https://doi.org/10.1007/s11036-023-02143-5openalex-snapshot
Security and Privacy in 5G-IIoT Smart Factories: Novel Approaches, Trends, and Challenges
inferredcites →https://doi.org/10.1007/s11235-016-0195-xopenalex-snapshot
Evolution towards fifth generation (5G) wireless networks: Current trends and challenges in the deployment of millimetre wave, massive MIMO, and small cells
inferredcites →https://doi.org/10.1007/s12243-019-00721-xopenalex-snapshot
A survey on authentication and access control for mobile networks: from 4G to 5G
inferredcites →https://doi.org/10.1007/s13042-020-01178-4openalex-snapshot
A survey of 5G network systems: challenges and machine learning approaches
inferredcites →https://doi.org/10.1016/b978-0-08-102267-2.00001-4openalex-snapshot
5G Network Architecture
inferredcites →https://doi.org/10.1016/j.adhoc.2021.102632openalex-snapshot
Deep learning-driven opportunistic spectrum access (OSA) framework for cognitive 5G and beyond 5G (B5G) networks
inferredcites →https://doi.org/10.1016/j.adhoc.2021.102685openalex-snapshot
Role of machine learning and deep learning in securing 5G-driven industrial IoT applications
inferredcites →https://doi.org/10.1016/j.comnet.2022.108820openalex-snapshot
A survey: Distributed Machine Learning for 5G and beyond
inferredcites →https://doi.org/10.1016/j.csi.2021.103518openalex-snapshot
Optimal 5G network slicing using machine learning and deep learning concepts
inferredcites →https://doi.org/10.1016/j.dcan.2019.08.006openalex-snapshot
A survey of edge computing-based designs for IoT security
inferredcites →https://doi.org/10.1016/j.jnca.2020.102693openalex-snapshot
Blockchain for 5G and beyond networks: A state of the art survey
inferredcites →https://doi.org/10.1016/j.phycom.2015.10.006openalex-snapshot
A survey on 5G: The next generation of mobile communication
inferredcites →https://doi.org/10.1016/j.phycom.2018.11.003openalex-snapshot
Millimetre wave frequency band as a candidate spectrum for 5G network architecture: A survey
inferredcites →https://doi.org/10.1016/j.vehcom.2022.100551openalex-snapshot
Autonomous vehicles in 5G and beyond: A survey
inferredcites →https://doi.org/10.1034/j.1399-0004.2002.620110.xopenalex-snapshot
A comparison of combinatorial partitioning and linear regression for the detection of epistatic effects of theACE I/DandPAI‐1 4G/5Gpolymorphisms on plasma PAI‐1 levels
inferredcites →https://doi.org/10.1049/iet-net.2017.0212openalex-snapshot
Machine learning‐based IDS for software‐defined 5G network
inferredcites →https://doi.org/10.1051/itmconf/20224201004openalex-snapshot
Analysis of Encryption Algorithms Proposed for Data Security in 4G and 5G Generations
inferredcites →https://doi.org/10.1109/5gwf.2018.8516981openalex-snapshot
5G Privacy: Scenarios and Solutions
inferredcites →https://doi.org/10.1109/5gwf49715.2020.9221122openalex-snapshot
5G Security Challenges and Opportunities: A System Approach
inferredcites →https://doi.org/10.1109/access.2015.2461602openalex-snapshot
A Survey of 5G Network: Architecture and Emerging Technologies
inferredcites →https://doi.org/10.1109/access.2016.2601009openalex-snapshot
Survey on Threats and Attacks on Mobile Networks
inferredcites →https://doi.org/10.1109/access.2017.2716971openalex-snapshot
Verifiable Public Key Encryption Scheme With Equality Test in 5G Networks
inferredcites →https://doi.org/10.1109/access.2018.2820162openalex-snapshot
Data Security and Privacy-Preserving in Edge Computing Paradigm: Survey and Open Issues
inferredcites →https://doi.org/10.1109/access.2018.2827419openalex-snapshot
A Security Architecture for 5G Networks
inferredcites →https://doi.org/10.1109/access.2019.2899254openalex-snapshot
Security and Protocol Exploit Analysis of the 5G Specifications
inferredcites →https://doi.org/10.1109/access.2019.2936291openalex-snapshot
Enabling Multi-Functional 5G and Beyond User Equipment: A Survey and Tutorial
inferredcites →https://doi.org/10.1109/access.2019.2942390openalex-snapshot
Machine Learning for 5G/B5G Mobile and Wireless Communications: Potential, Limitations, and Future Directions
inferredcites →https://doi.org/10.1109/access.2020.3030762openalex-snapshot
A Comprehensive Survey on Mobility Management in 5G Heterogeneous Networks: Architectures, Challenges and Solutions
inferredcites →https://doi.org/10.1109/access.2021.3051557openalex-snapshot
Machine Learning Techniques for 5G and Beyond
inferredcites →https://doi.org/10.1109/access.2021.3063002openalex-snapshot
Active Machine Learning Adversarial Attack Detection in the User Feedback Process
inferredcites →https://doi.org/10.1109/access.2021.3077069openalex-snapshot
Deep Learning and Blockchain-Empowered Security Framework for Intelligent 5G-Enabled IoT
inferredcites →https://doi.org/10.1109/access.2021.3107430openalex-snapshot
Deep Learning (DL) Based Joint Resource Allocation and RRH Association in 5G-Multi-Tier Networks
inferredcites →https://doi.org/10.1109/acsat.2015.26openalex-snapshot
Mobile Technology Generations and Cryptographic Algorithms: Analysis Study
inferredcites →https://doi.org/10.1109/bihtel.2016.7775732openalex-snapshot
Security issues in wireless networks: An overview
inferredcites →https://doi.org/10.1109/cais.2018.8471687openalex-snapshot
The role of 5G wireless networks in the internet-of- things (IoT)
inferredcites →https://doi.org/10.1109/ccwc47524.2020.9031158openalex-snapshot
Secure5G: A Deep Learning Framework Towards a Secure Network Slicing in 5G and Beyond
inferredcites →https://doi.org/10.1109/comst.2016.2548426openalex-snapshot
A Survey of Man In The Middle Attacks
inferredcites →https://doi.org/10.1109/comst.2019.2933899openalex-snapshot
A Survey on Security and Privacy of 5G Technologies: Potential Solutions, Recent Advancements, and Future Directions
inferredcites →https://doi.org/10.1109/comst.2021.3067807openalex-snapshot
Survey on Network Slicing for Internet of Things Realization in 5G Networks
inferredcites →https://doi.org/10.1109/comst.2021.3094993openalex-snapshot
Big Data Resource Management & Networks: Taxonomy, Survey, and Future Directions
inferredcites →https://doi.org/10.1109/comst.2021.3108618openalex-snapshot
Security and Privacy for 6G: A Survey on Prospective Technologies and Challenges
inferredcites →https://doi.org/10.1109/comtech.2019.8737800openalex-snapshot
5G Security Artifacts (DoS / DDoS and Authentication)
inferredcites →https://doi.org/10.1109/cscloud-edgecom54986.2022.00041openalex-snapshot
A Lightweight and Secure Authentication Protocol for 5G mMTC
inferredcites →https://doi.org/10.1109/cscn.2017.8088621openalex-snapshot
5G security: Analysis of threats and solutions
inferredcites →https://doi.org/10.1109/csp51677.2021.9357499openalex-snapshot
Trend Analysis and Countermeasure Research of DDoS Attack Under 5G Network
inferredcites →https://doi.org/10.1109/eucnc/6gsummit51104.2021.9482503openalex-snapshot
AI and 6G Security: Opportunities and Challenges
inferredcites →https://doi.org/10.1109/gcwcn.2018.8668635openalex-snapshot
Security Threats and Challenges in Future Mobile Wireless Networks
inferredcites →https://doi.org/10.1109/globecom38437.2019.9013816openalex-snapshot
Man-in-the-Middle and Denial of Service Attacks in Wireless Secret Key Generation
inferredcites →https://doi.org/10.1109/glocomw.2007.4437813openalex-snapshot
A Survey of Security Threats on 4G Networks
inferredcites →https://doi.org/10.1109/icccnt45670.2019.8944864openalex-snapshot
Exposing the Security Weaknesses of Fifth Generation Handover Communication
inferredcites →https://doi.org/10.1109/iccmc48092.2020.iccmc-00014openalex-snapshot
Network Slicing in 5G and the Security Concerns
inferredcites →https://doi.org/10.1109/icict57646.2023.10134247openalex-snapshot
Machine Learning and Deep Learning Algorithms for Network Data Analytics Function in 5G Cellular Networks
inferredcites →https://doi.org/10.1109/icit58465.2023.10143116openalex-snapshot
Adaptive Frequency Hopping for 5G New Radio mMTC Security
inferredcites →https://doi.org/10.1109/ictc55196.2022.9952490openalex-snapshot
AI-based Network Security Enhancement for 5G Industrial Internet of Things Environments
inferredcites →https://doi.org/10.1109/idaacs53288.2021.9660920openalex-snapshot
Analysis of Anomaly Detection and Identification Methods in 5G Traffic
inferredcites →https://doi.org/10.1109/infcomw.2019.8845183openalex-snapshot
Towards Automatic Deployment of Virtual Firewalls to Support Secure mMTC in 5G Networks
inferredcites →https://doi.org/10.1109/iswcs.2018.8491078openalex-snapshot
5G URLLC: Design Challenges and System Concepts
inferredcites →https://doi.org/10.1109/itnac46935.2019.9078011openalex-snapshot
5G and the Future of Security in ICT
inferredcites →https://doi.org/10.1109/jcn.2020.000019openalex-snapshot
Intelligent network data analytics function in 5G cellular networks using machine learning
inferredcites →https://doi.org/10.1109/jproc.2019.2918437openalex-snapshot
Edge Computing Security: State of the Art and Challenges
inferredcites →https://doi.org/10.1109/jproc.2019.2954595openalex-snapshot
Future Intelligent and Secure Vehicular Network Toward 6G: Machine-Learning Approaches
inferredcites →https://doi.org/10.1109/jsac.2020.3000826openalex-snapshot
Prospective Multiple Antenna Technologies for Beyond 5G
inferredcites →https://doi.org/10.1109/lwc.2021.3133479openalex-snapshot
DeepSecure: Detection of Distributed Denial of Service Attacks on 5G Network Slicing—Deep Learning Approach
inferredcites →https://doi.org/10.1109/mcom.001.2000243openalex-snapshot
Deep Learning at the Physical Layer: System Challenges and Applications to 5G and Beyond
inferredcites →https://doi.org/10.1109/mcom.001.2200183openalex-snapshot
A Security Assessment of HTTP/2 Usage in 5G Service-Based Architecture
inferredcites →https://doi.org/10.1109/mcom.101.2100487openalex-snapshot
Energy Harvesting and Power Management for IoT Devices in the 5G Era
inferredcites →https://doi.org/10.1109/mcom.2017.1600951openalex-snapshot
Network Slicing in 5G: Survey and Challenges
inferredcites →https://doi.org/10.1109/mcom.2017.1700155openalex-snapshot
5G Mobile Cellular Networks: Enabling Distributed State Estimation for Smart Grids
inferredcites →https://doi.org/10.1109/mcomstd.101.2000090openalex-snapshot
Adaptive and Dynamic Security in AI-Empowered 6G: From an Energy Efficiency Perspective
inferredcites →https://doi.org/10.1109/mcomstd.2017.1700042openalex-snapshot
NR: The New 5G Radio Access Technology
inferredcites →https://doi.org/10.1109/mcomstd.2018.1700063openalex-snapshot
Overview of 5G Security Challenges and Solutions
inferredcites →https://doi.org/10.1109/mcomstd.2018.1700072openalex-snapshot
A Survey and an Analysis of Network Slicing in 5G Networks
inferredcites →https://doi.org/10.1109/mnet.011.2000229openalex-snapshot
Deep Learning for Security Problems in 5G Heterogeneous Networks
inferredcites →https://doi.org/10.1109/mnet.011.2000449openalex-snapshot
Prediction and Detection of FDIA and DDoS Attacks in 5G Enabled IoT
inferredcites →https://doi.org/10.1109/mnet.2018.1700227openalex-snapshot
Packet Duplication for URLLC in 5G: Architectural Enhancements and Performance Analysis
inferredcites →https://doi.org/10.1109/mvt.2020.2979261openalex-snapshot
5G Wireless Security and Privacy: Architecture and Flexible Mechanisms
inferredcites →https://doi.org/10.1109/mwc.001.1900054openalex-snapshot
Machine Learning for Intelligent Authentication in 5G and Beyond Wireless Networks
inferredcites →https://doi.org/10.1109/mwc.2016.1500374wcopenalex-snapshot
Energy Efficiency in Massive MIMO-Based 5G Networks: Opportunities and Challenges
inferredcites →https://doi.org/10.1109/mwc.2019.1900027openalex-snapshot
Deep Learning for Physical-Layer 5G Wireless Techniques: Opportunities, Challenges and Solutions
inferredcites →https://doi.org/10.1109/mwc.2020.9170261openalex-snapshot
Challenges and Novel Solutions for 5G Network Security, Privacy and Trust
inferredcites →https://doi.org/10.1109/ojcoms.2021.3058353openalex-snapshot
A Review of Deep Learning in 5G Research: Channel Coding, Massive MIMO, Multiple Access, Resource Allocation, and Network Security
inferredcites →https://doi.org/10.1109/ojcs.2022.3161933openalex-snapshot
Towards Secure and Intelligent Network Slicing for 5G Networks
inferredcites →https://doi.org/10.1109/syscon.2019.8836930openalex-snapshot
Analyzing the Architecture Advantages and Vulnerabilities in Heterogeneous 5G Wireless Networks
inferredcites →https://doi.org/10.1109/tbc.2021.3122353openalex-snapshot
Machine Learning-Based 5G RAN Slicing for Broadcasting Services
inferredcites →https://doi.org/10.1109/tccn.2019.2954388openalex-snapshot
A GRU-Based Prediction Framework for Intelligent Resource Management at Cloud Data Centres in the Age of 5G
inferredcites →https://doi.org/10.1109/tcomm.2020.3040307openalex-snapshot
Coexistence Mechanism Between eMBB and uRLLC in 5G Wireless Networks
inferredcites →https://doi.org/10.1109/tem.2020.3045661openalex-snapshot
Security by Design for Big Data Frameworks Over Cloud Computing
inferredcites →https://doi.org/10.1109/tetc.2022.3147192openalex-snapshot
Machine Learning Assisted Security Analysis of 5G-Network-Connected Systems
inferredcites →https://doi.org/10.1109/tii.2020.2966288openalex-snapshot
TrustE-VC: Trustworthy Evaluation Framework for Industrial Connected Vehicles in the Cloud
inferredcites →https://doi.org/10.1109/tii.2020.2974520openalex-snapshot
Deep Learning-Based DDoS-Attack Detection for Cyber–Physical System Over 5G Network
inferredcites →https://doi.org/10.1109/tits.2022.3141788openalex-snapshot
Communication Security Analysis of Intelligent Transportation System Using 5G Internet of Things From the Perspective of Big Data
inferredcites →https://doi.org/10.1109/tmc.2012.242openalex-snapshot
Security Analysis of Handover Key Management in 4G LTE/SAE Networks
inferredcites →https://doi.org/10.1109/tnsm.2021.3056222openalex-snapshot
A Forecasting Approach to Improve Control and Management for 5G Networks
inferredcites →https://doi.org/10.1109/tnsm.2023.3251282openalex-snapshot
Automated, Reliable Zero-Day Malware Detection Based on Autoencoding Architecture
inferredcites →https://doi.org/10.1109/trustcom/bigdatase.2019.00118openalex-snapshot
Common Security Criteria for Vehicular Clouds and Internet of Vehicles Evaluation and Selection
inferredcites →https://doi.org/10.1109/uic-atc.2017.8397440openalex-snapshot
On the performance of a deep learning-based anomaly detection system for 5G networks
inferredcites →https://doi.org/10.1109/wcnc55385.2023.10118854openalex-snapshot
A Novel Approach based on Improved Naive Bayes for 5G Air Interface DDoS Detection
inferredcites →https://doi.org/10.1109/wocc48579.2020.9114924openalex-snapshot
Deep Learning in 5G Wireless Networks - Anomaly Detections
inferredcites →https://doi.org/10.1145/3243734.3243846openalex-snapshot
A Formal Analysis of 5G Authentication
inferredcites →https://doi.org/10.1145/3317549.3319728openalex-snapshot
New vulnerabilities in 4G and 5G cellular access network protocols
inferredcites →https://doi.org/10.1155/2021/7310771openalex-snapshot
Efficient and Secure Cross-Domain Sharing of Blockchain Electronic Medical Records Based on Edge Computing
inferredcites →https://doi.org/10.1155/2022/9304689openalex-snapshot
Intrusion Detection System on IoT with 5G Network Using Deep Learning
inferredcites →https://doi.org/10.12676/j.cc.2019.01.015openalex-snapshot
Machine learning for 5G and beyond: From model-based to data-driven mobile wireless networks
inferredcites →https://doi.org/10.14445/23488549/ijece-v10i7p106openalex-snapshot
Exploring the Generations: A Comparative Study of Mobile Technology from 1G to 5G
inferredcites →https://doi.org/10.14722/ndss.2021.24363openalex-snapshot
A Formal Analysis of the FIDO UAF Protocol
inferredcites →https://doi.org/10.17762/ijcnis.v14i2.5494openalex-snapshot
Security Enhancement by Identifying Attacks Using Machine Learning for 5G Network
inferredcites →https://doi.org/10.21533/pen.v9i3.2197openalex-snapshot
An implementation of an artifact for security in 5G networks using deep learning methods
inferredcites →https://doi.org/10.23919/cycon55549.2022.9810903openalex-snapshot
Emergence of 5G Networks and Implications for Cyber Conflict
inferredcites →https://doi.org/10.32604/iasc.2022.019121openalex-snapshot
Cyber-Attack Detection and Mitigation Using SVM for 5G Network
inferredcites →https://doi.org/10.3390/a13090208openalex-snapshot
When 5G Meets Deep Learning: A Systematic Review
inferredcites →https://doi.org/10.3390/app9152975openalex-snapshot
Assessment of Deep Learning Methodology for Self-Organizing 5G Networks
inferredcites →https://doi.org/10.3390/computers9010008openalex-snapshot
Improving Internet of Things (IoT) Security with Software-Defined Networking (SDN)
inferredcites →https://doi.org/10.3390/fi14040116openalex-snapshot
ML-Based 5G Network Slicing Security: A Comprehensive Survey
inferredcites →https://doi.org/10.3390/s21196346openalex-snapshot
An Efficient CNN-Based Deep Learning Model to Detect Malware Attacks (CNN-DMA) in 5G-IoT Healthcare Applications
inferredcites →https://doi.org/10.3390/s22197609openalex-snapshot
A Secure Online Fingerprint Authentication System for Industrial IoT Devices over 5G Networks
inferredcites →https://doi.org/10.7910/dvn/1kj4ltopenalex-snapshot
A Review Of 5G Technology: Architecture, Security and wide Applications
inferredcites →https://doi.org/10.9781/ijimai.2021.03.004openalex-snapshot
Machine Learning Classifier Approach with Gaussian Process, Ensemble boosted Trees, SVM, and Linear Regression for 5G Signal Coverage Mapping.

What points at this work

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

inferred← citeshttps://doi.org/10.1002/cpe.70297openalex-snapshot
Intrusion Detection System in IoT 5G Networks Based on LSSVM and Harmony Search Optimization
inferred← citeshttps://doi.org/10.1002/dac.70226openalex-snapshot
Optimizing 5G Sustainable Networks Performance in Urban Areas Using Machine Learning Techniques
inferred← citeshttps://doi.org/10.1002/eng2.70262openalex-snapshot
FPGA ‐Based Design of Ultra‐Efficient Approximate Adders for High‐Fidelity Image Processing: A Logic‐Optimized Approach
inferred← citeshttps://doi.org/10.1002/spy2.70148openalex-snapshot
LIDS: A Novel Lightweight Intrusion Detection System for DDoS Attacks
inferred← citeshttps://doi.org/10.1007/978-3-031-54379-1_18openalex-snapshot
Strategic Integration of Business Systems: Merging ERP, HRM, and Accounting for Enhanced Performance—An Insightful Conceptual Article
inferred← citeshttps://doi.org/10.1007/978-3-031-68256-8_22openalex-snapshot
The 5G Era: Transforming Connectivity and Enabling New Use Cases Across Industries
inferred← citeshttps://doi.org/10.1007/978-3-032-19042-0_2openalex-snapshot
Millimeter Wave and Terahertz Communication: An Overview
inferred← citeshttps://doi.org/10.1007/978-3-032-21499-7_5openalex-snapshot
Adaptive Self-healing and Secure Routing Protocols for MANETs: A Novel Approach
inferred← citeshttps://doi.org/10.1007/s00607-024-01287-wopenalex-snapshot
Four vector intelligent metaheuristic for data optimization
inferred← citeshttps://doi.org/10.1007/s42979-025-04551-8openalex-snapshot
Optimizing 5G Network Slicing for Heterogeneous Services
inferred← citeshttps://doi.org/10.1016/j.aej.2025.05.063openalex-snapshot
Secure and fast mobility handover scheme for IoMT in 5 G and future 6 G networks
inferred← citeshttps://doi.org/10.1109/access.2024.3392761openalex-snapshot
Unveiling the 5G Frontier: Navigating Challenges, Applications, and Measurements in Channel Models and Implementations
inferred← citeshttps://doi.org/10.1109/access.2024.3405534openalex-snapshot
Optimizing Femtocell Networks: A Novel Game Theory Based Power Management Model for Enhanced SINR and Energy Efficiency
inferred← citeshttps://doi.org/10.1109/access.2024.3477427openalex-snapshot
On the Design of a Light-Weight Deep Learning Framework for Embedding in 5G Software Modem
inferred← citeshttps://doi.org/10.1109/access.2025.3580176openalex-snapshot
Future Open Networks Cross-Domain Cognitive Orchestration: A Novel Design Paradigm
inferred← citeshttps://doi.org/10.1109/access.2025.3612453openalex-snapshot
AI-Driven Security Evaluation of the ZUC Stream Cipher in 5G Networks
inferred← citeshttps://doi.org/10.1109/aicdmb64359.2025.11277451openalex-snapshot
Flow-Based Metadata with Robust Machine Learning Approaches for Application Classification in Diverse Network Traffic
inferred← citeshttps://doi.org/10.1109/etcom66606.2025.11436293openalex-snapshot
Secure Network Slicing in 5G Using NFV and SDN
inferred← citeshttps://doi.org/10.1109/fnwf63303.2024.11028849openalex-snapshot
Honeypot-Based Detection and Analysis of Black Hole Attacks for a 5G Network Environment: A Case Study in a Simulated Wi-Fi Setup
inferred← citeshttps://doi.org/10.1109/giis64151.2025.10921756openalex-snapshot
A Comparative Analysis of Feature Selection and Machine Learning Algorithms for Enhanced Anomaly Detection in 5G Core Networks
inferred← citeshttps://doi.org/10.1109/icces67310.2025.11336880openalex-snapshot
Determination of Coverage Distance in Milli-Meter Wave Communication using Machine Learning Algorithm
inferred← citeshttps://doi.org/10.1109/iccr61006.2024.10533010openalex-snapshot
AI-Driven Solutions for Social Engineering Attacks: Detection, Prevention, and Response
inferred← citeshttps://doi.org/10.1109/icctdc64446.2025.11158932openalex-snapshot
Enhancing Efficiency and Scalability of AI-Driven Data Analytics with 5G Integration: Challenges and Opportunities Across Industry Sectors
inferred← citeshttps://doi.org/10.1109/icctit64404.2024.10928388openalex-snapshot
Deep Contrastive Clustering for Protocol Analysis in 5G Network Engineering
inferred← citeshttps://doi.org/10.1109/icici65870.2025.11069875openalex-snapshot
Enhanced Anomaly Detection in Wireless Sensor Networks Using Isolation Forest, LSTM, and LSTM Autoencode
inferred← citeshttps://doi.org/10.1109/icimrbe70745.2026.11710050openalex-snapshot
Enhancement of 5G Wireless Communication Networks: Integrating Machine Learning to Optimize Power Consumption and Network Performance
inferred← citeshttps://doi.org/10.1109/icrcicn68210.2025.11364962openalex-snapshot
FedProx-IoT: Federated Workload Prediction with On-Demand Retraining
inferred← citeshttps://doi.org/10.1109/icuis64676.2024.10866793openalex-snapshot
Detection and Mitigation of Attacks in MANETs: A Comprehensive Survey of Security Techniques
inferred← citeshttps://doi.org/10.1109/imoc65414.2025.11365736openalex-snapshot
A Dynamic GPF Scheduler for 5G Hetnets Aided by Neural Networks and Differential Evolution
inferred← citeshttps://doi.org/10.1109/innova63080.2024.10847018openalex-snapshot
AI Enabled Risk Management Framework for Enhanced Security in 5G Networks
inferred← citeshttps://doi.org/10.1109/iscaie64985.2025.11081118openalex-snapshot
AI Approaches for Detecting and Mitigating DDoS Attacks in 5G Networks: A Systematic Literature Review
inferred← citeshttps://doi.org/10.1109/isci65687.2025.11167572openalex-snapshot
Perceptions and Adoption Acceptance of Artificial Intelligence Tools in the Telecommunications Sector: A Statistical Study on Network Analytics and Security
inferred← citeshttps://doi.org/10.1109/sin63213.2024.10871710openalex-snapshot
Incident Response Adaptive Metrics Framework
inferred← citeshttps://doi.org/10.1109/sisimpact67725.2025.11439355openalex-snapshot
Analyzing Cultural Vulnerabilities and Cyber Behavior through AI Enabled Security Frameworks
inferred← citeshttps://doi.org/10.1109/smartblock4africa61928.2024.10779548openalex-snapshot
Improved Machine Learning-Based Model for Network Traffic Anomaly Detection
inferred← citeshttps://doi.org/10.1186/s13731-026-00659-0openalex-snapshot
Traditionality vs. modernity: examining entrepreneurial intentions at the digital technology era
inferred← citeshttps://doi.org/10.17762/ijritcc.v11i11.9503openalex-snapshot
Optimization Mobility in Sensor Actor Networks: A Comprehensive Framework
inferred← citeshttps://doi.org/10.17770/etr2025vol2.8592openalex-snapshot
ARTIFICIAL INTELLIGENCE IN CYBERSECURITY: THREATS, DEFENSES, AND FUTURE DIRECTIONS
inferred← citeshttps://doi.org/10.21203/rs.3.rs-4014216/v1openalex-snapshot
Cryptographic Parameters Enhancement Using Pulsar Orbital Optimization
inferred← citeshttps://doi.org/10.22399/ijcesen.596openalex-snapshot
The Role of Blockchain and AI in Fortifying Cybersecurity for Healthcare Systems
inferred← citeshttps://doi.org/10.2298/sjee2501075bopenalex-snapshot
Energy efficient design and implementation of approximate adder for image processing applications
inferred← citeshttps://doi.org/10.23919/ist-africa63983.2024.10569231openalex-snapshot
An Optimized Machine Learning Model for the Detection of Man-in-the-Middle Attack in Mobile Edge Computing
inferred← citeshttps://doi.org/10.32604/cmc.2024.049874openalex-snapshot
5G Resource Allocation Using Feature Selection and Greylag Goose Optimization Algorithm
inferred← citeshttps://doi.org/10.3390/fi16070226openalex-snapshot
Enhancing Network Slicing Security: Machine Learning, Software-Defined Networking, and Network Functions Virtualization-Driven Strategies
inferred← citeshttps://doi.org/10.3390/fi16120482openalex-snapshot
A Robust Machine Learning Model for Detecting XSS Attacks on IoT over 5G Networks
inferred← citeshttps://doi.org/10.3390/fi18030118openalex-snapshot
A Comprehensive Survey on 5G RedCap: Technologies, Security Vulnerabilities, and Attack Vectors
inferred← citeshttps://doi.org/10.3390/info17010021openalex-snapshot
AVI-SHIELD: An Explainable TinyML Cross-Platform Threat Detection Framework for Aviation Mobile Security
inferred← citeshttps://doi.org/10.3390/math13071088openalex-snapshot
A Review of Machine Learning and Transfer Learning Strategies for Intrusion Detection Systems in 5G and Beyond
inferred← citeshttps://doi.org/10.3390/s25113335openalex-snapshot
Cross-Layer Security for 5G/6G Network Slices: An SDN, NFV, and AI-Based Hybrid Framework
inferred← citeshttps://doi.org/10.3390/sym16070927openalex-snapshot
Novel Hybrid Crayfish Optimization Algorithm and Self-Adaptive Differential Evolution for Solving Complex Optimization Problems
inferred← citeshttps://doi.org/10.3390/sym17040503openalex-snapshot
Multi-Cloud Security Optimization Using Novel Hybrid JADE-Geometric Mean Optimizer
inferred← citeshttps://doi.org/10.3991/ijim.v18i10.46485openalex-snapshot
Overview of Mobile Attack Detection and Prevention Techniques Using Machine Learning
inferred← citeshttps://doi.org/10.4018/979-8-3373-0129-7.ch002openalex-snapshot
Machine Learning in Finance
inferred← citeshttps://doi.org/10.4018/979-8-3373-1370-2.ch010openalex-snapshot
Cloud Security and Data Protection in Hybrid Environments
inferred← citeshttps://doi.org/10.4018/979-8-3693-9225-6.ch005openalex-snapshot
Cyber Security Techniques for 5G Networks
inferred← citeshttps://doi.org/10.4102/sajhrm.v23i0.2828openalex-snapshot
Leadership in security media: Impact on community safety – Insights from Oman Police
inferred← citeshttps://doi.org/10.52783/jes.2538openalex-snapshot
Dynamic Neural Network-Based Resource Allocation Framework for Latency-Aware and Energy-Efficient Optimization in Wireless Communication Systems
inferred← citeshttps://doi.org/10.53759/7669/jmc202505101openalex-snapshot
Securing Short Range Applications in 5G Cognitive Radio Using an AI-Based Analysis of Security Threats
inferred← citeshttps://doi.org/10.53759/7669/jmc202505142openalex-snapshot
Securing Voice Software Applications Using 5G, WSN and AI Driven Privacy Preservation Protocols
inferred← citeshttps://doi.org/10.62441/nano-ntp.vi.3561openalex-snapshot
Exploring the Next Frontier in Wireless Communication: 5G and Beyond for Enhanced Reliability and Low Latency in IoT and Autonomous Technologies
inferred← citeshttps://doi.org/10.7717/peerj-cs.3983openalex-snapshot
MTA-CPMA: multi-tier architecture with cross-platform mobile apps for student health and academic analytics
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.