On the public citation graph
Enhancing Internet of Vehicles Security: A Precise Intrusion Detection System with Machine Learning Techniques
0 signed · 32 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known work and none has been retracted — and get a dated CiteStamped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/10.1007/978-3-030-23502-4_12openalex-extracted
Dynamic Network Anomaly Detection System by Using Deep Learning Techniques
inferredcites →https://doi.org/10.1007/s13042-014-0309-2openalex-extracted
Machine learning approach for detection of flooding DoS attacks in 802.11 networks and attacker localization
inferredcites →https://doi.org/10.1007/s13042-016-0557-4openalex-extracted
Toward an efficient fuzziness based instance selection methodology for intrusion detection system
inferredcites →https://doi.org/10.1007/s13042-019-00925-6openalex-extracted
Automatically synthesizing DoS attack traces using generative adversarial networks
inferredcites →https://doi.org/10.1007/s40031-023-00987-9openalex-extracted
Intelligent Intrusion Detection Framework for Anomaly-Based CAN Bus Network Using Bidirectional Long Short-Term Memory
inferredcites →https://doi.org/10.1007/s42835-021-00671-2openalex-extracted
Smart Recognition COVID-19 System to Predict Suspicious Persons Based on Face Features
inferredcites →https://doi.org/10.1016/j.comcom.2014.04.012openalex-extracted
False alarm minimization techniques in signature-based intrusion detection systems: A survey
inferredcites →https://doi.org/10.1016/j.eswa.2019.112957openalex-extracted
A feature transfer enabled multi-task deep learning model on medical imaging
inferredcites →https://doi.org/10.1016/j.ins.2020.05.130openalex-extracted
Transfer learning based intrusion detection scheme for Internet of vehicles
inferredcites →https://doi.org/10.1109/access.2017.2782159openalex-extracted
Cloud-Based Cyber-Physical Intrusion Detection for Vehicles Using Deep Learning
inferredcites →https://doi.org/10.1109/access.2019.2905041openalex-extracted
Network Intrusion Detection: Based on Deep Hierarchical Network and Original Flow Data
inferredcites →https://doi.org/10.1109/ccwc.2019.8666588openalex-extracted
Deep Learning Models for Cyber Security in IoT Networks
inferredcites →https://doi.org/10.1109/cit/iucc/dasc/picom.2015.313openalex-extracted
Performance Evaluation of Cyber-Physical Intrusion Detection on a Robotic Vehicle
inferredcites →https://doi.org/10.1109/comst.2015.2402161openalex-extracted
Intrusion Detection in 802.11 Networks: Empirical Evaluation of Threats and a Public Dataset
inferredcites →https://doi.org/10.1109/cvpr.2017.587openalex-extracted
iCaRL: Incremental Classifier and Representation Learning
inferredcites →https://doi.org/10.1109/iccv.2017.368openalex-extracted
Incremental Learning of Object Detectors without Catastrophic Forgetting
inferredcites →https://doi.org/10.1109/ispa.2009.92openalex-extracted
Distributed Transfer Network Learning Based Intrusion Detection
inferredcites →https://doi.org/10.1109/mpot.2018.2837686openalex-extracted
Security Analysis of an Automobile Controller Area Network Bus
inferredcites →https://doi.org/10.1109/tnsm.2020.3036138openalex-extracted
WIDS: An Anomaly Based Intrusion Detection System for Wi-Fi (IEEE 802.11) Protocol
inferredcites →https://doi.org/10.1117/12.2264072openalex-extracted
Using deep learning to detect network intrusions and malware in autonomous robots
inferredcites →https://doi.org/10.11591/ijece.v10i5.pp5514-5525openalex-extracted
An intrusion detection system for packet and flow based networks using deep neural network approach
inferredcites →https://doi.org/10.1198/tech.2006.s353openalex-extracted
The Cross-Entropy Method: A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation, and Machine Learning
inferredcites →https://doi.org/10.1371/journal.pone.0155781openalex-extracted
Intrusion Detection System Using Deep Neural Network for In-Vehicle Network Security
inferredcites →https://doi.org/10.1613/jair.953openalex-extracted
SMOTE: Synthetic Minority Over-sampling Technique
inferredcites →https://doi.org/10.2139/ssrn.3610618openalex-extracted
Machine Learning Methods for Network Intrusion Detection
inferredcites →https://doi.org/10.3390/sym11040583openalex-extracted
A Scalable and Hybrid Intrusion Detection System Based on the Convolutional-LSTM Network
inferredcites →https://doi.org/10.4018/978-1-6684-9999-3.ch002openalex-extracted
Measuring Throughput and Latency of Machine Learning Techniques for Intrusion Detection
inferredcites →https://doi.org/10.48550/arxiv.1610.02136openalex-extracted
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1611.04488openalex-extracted
Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy
inferredcites →https://doi.org/10.48550/arxiv.1706.02690openalex-extracted
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1801.05609openalex-extracted
Unseen Class Discovery in Open-world Classification
inferredcites →https://doi.org/10.48550/arxiv.1806.11078openalex-extracted
A probabilistic constrained clustering for transfer learning and image category discovery
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.