# Network Security and Intrusion Detection

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/network-security-and-intrusion-detection/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers focuses on the development and application of techniques, models, and systems for network intrusion detection and defense mechanisms. It covers topics such as machine learning, DDoS attacks, anomaly detection, IoT security, and data mining in the context of cybersecurity. The papers explore various approaches to identifying and mitigating security threats in network environments. |
| Domain | Physical Sciences |
| Field | Computer Science |
| OpenAlex ID | t10400 |
| Works | 271 |

## Topic papers all

Showing 15 of 271.

- [StackGuard: automatic adaptive detection and prevention of buffer-overflow attacks](https://scholariq.org/papers/stackguard-automatic-adaptive-detection-and-prevention-of-buffer-overflow/)
- [Anomaly Detection via Reverse Distillation from One-Class Embedding](https://scholariq.org/papers/anomaly-detection-via-reverse-distillation-from-one-class-embedding/)
- [Website Fingerprinting at Internet Scale](https://scholariq.org/papers/website-fingerprinting-at-internet-scale/)
- [An effective feature engineering for DNN using hybrid PCA-GWO for intrusion detection in IoMT architecture](https://scholariq.org/papers/an-effective-feature-engineering-for-dnn-using-hybrid-pca-gwo-for-intrusion/)
- [Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning](https://scholariq.org/papers/anomaly-detection-on-attributed-networks-via-contrastive-self-supervised/)
- [A hybrid deep learning model for efficient intrusion detection in big data environment](https://scholariq.org/papers/a-hybrid-deep-learning-model-for-efficient-intrusion-detection-in-big-data/)
- [A Novel PCA-Firefly Based XGBoost Classification Model for Intrusion Detection in Networks Using GPU](https://scholariq.org/papers/a-novel-pca-firefly-based-xgboost-classification-model-for-intrusion-detection/)
- [TSDL: A Two-Stage Deep Learning Model for Efficient Network Intrusion Detection](https://scholariq.org/papers/tsdl-a-two-stage-deep-learning-model-for-efficient-network-intrusion-detection/)
- [A Critical Cybersecurity Analysis and Future Research Directions for the Internet of Things: A Comprehensive Review](https://scholariq.org/papers/a-critical-cybersecurity-analysis-and-future-research-directions-for-the/)
- [Physical Safety and Cyber Security Analysis of Multi-Agent Systems: A Survey of Recent Advances](https://scholariq.org/papers/physical-safety-and-cyber-security-analysis-of-multi-agent-systems-a-survey-of/)
- [Cyber Threat Intelligence Mining for Proactive Cybersecurity Defense: A Survey and New Perspectives](https://scholariq.org/papers/cyber-threat-intelligence-mining-for-proactive-cybersecurity-defense-a-survey/)
- [A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method](https://scholariq.org/papers/a-hybrid-intrusion-detection-model-using-ega-pso-and-improved-random-forest/)
- [An Efficient DenseNet-Based Deep Learning Model for Malware Detection](https://scholariq.org/papers/an-efficient-densenet-based-deep-learning-model-for-malware-detection/)
- [Enhancing intrusion detection: a hybrid machine and deep learning approach](https://scholariq.org/papers/enhancing-intrusion-detection-a-hybrid-machine-and-deep-learning-approach/)
- [Video anomaly detection with spatio-temporal dissociation](https://scholariq.org/papers/video-anomaly-detection-with-spatio-temporal-dissociation/)

## Topic primary papers

Showing 15 of 128.

- [An effective feature engineering for DNN using hybrid PCA-GWO for intrusion detection in IoMT architecture](https://scholariq.org/papers/an-effective-feature-engineering-for-dnn-using-hybrid-pca-gwo-for-intrusion/)
- [A hybrid deep learning model for efficient intrusion detection in big data environment](https://scholariq.org/papers/a-hybrid-deep-learning-model-for-efficient-intrusion-detection-in-big-data/)
- [A Novel PCA-Firefly Based XGBoost Classification Model for Intrusion Detection in Networks Using GPU](https://scholariq.org/papers/a-novel-pca-firefly-based-xgboost-classification-model-for-intrusion-detection/)
- [TSDL: A Two-Stage Deep Learning Model for Efficient Network Intrusion Detection](https://scholariq.org/papers/tsdl-a-two-stage-deep-learning-model-for-efficient-network-intrusion-detection/)
- [A Critical Cybersecurity Analysis and Future Research Directions for the Internet of Things: A Comprehensive Review](https://scholariq.org/papers/a-critical-cybersecurity-analysis-and-future-research-directions-for-the/)
- [A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method](https://scholariq.org/papers/a-hybrid-intrusion-detection-model-using-ega-pso-and-improved-random-forest/)
- [Enhancing intrusion detection: a hybrid machine and deep learning approach](https://scholariq.org/papers/enhancing-intrusion-detection-a-hybrid-machine-and-deep-learning-approach/)
- [Towards a machine learning-based framework for DDOS attack detection in software-defined IoT (SD-IoT) networks](https://scholariq.org/papers/towards-a-machine-learning-based-framework-for-ddos-attack-detection-in-software/)
- [Machine Learning for the Detection and Identification of Internet of Things Devices: A Survey](https://scholariq.org/papers/machine-learning-for-the-detection-and-identification-of-internet-of-things/)
- [Anomaly intrusion detection method based on HMM](https://scholariq.org/papers/anomaly-intrusion-detection-method-based-on-hmm/)
- [Explainable Artificial Intelligence for Intrusion Detection System](https://scholariq.org/papers/explainable-artificial-intelligence-for-intrusion-detection-system/)
- [Detection of Distributed Denial of Service (DDoS) Attacks in IOT Based Monitoring System of Banking Sector Using Machine Learning Models](https://scholariq.org/papers/detection-of-distributed-denial-of-service-ddos-attacks-in-iot-based-monitoring/)
- [Efficient Detection of DDoS Attacks Using a Hybrid Deep Learning Model with Improved Feature Selection](https://scholariq.org/papers/efficient-detection-of-ddos-attacks-using-a-hybrid-deep-learning-model-with/)
- [SMO-DNN: Spider Monkey Optimization and Deep Neural Network Hybrid Classifier Model for Intrusion Detection](https://scholariq.org/papers/smo-dnn-spider-monkey-optimization-and-deep-neural-network-hybrid-classifier/)
- [Detection of Real-Time Malicious Intrusions and Attacks in IoT Empowered Cybersecurity Infrastructures](https://scholariq.org/papers/detection-of-real-time-malicious-intrusions-and-attacks-in-iot-empowered/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.