Towards a Reliable Intrusion Detection Benchmark Dataset
Explore this paper's citation graph
Summary
A comprehensive evaluation of the existing datasets using the proposed criteria, a design and evaluation framework for IDS and IPS datasets, and a dataset generation model to create a reliable IDS or IPS benchmark dataset are presented.
- Type
- article
- Published
- 2017-01-01
- Cited by
- 274
- References
- 29
- Access
- Open access
- OpenAlex
- https://openalex.org/W2732560875
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:67685915
Keywords
Benchmark (surveying), Intrusion detection system, Computer science, Intrusion, Data mining
References
- Network Intrusion Detection and Prevention - Concepts and Techniques
- Network traffic analysis through statistical signal processing methods
- Toward Instrumenting Network Warfare Competitions to Generate Labeled Datasets
- My Botnet Is Bigger Than Yours (Maybe, Better Than Yours): Why Size Estimates Remain Challenging
- X-means: Extending K-means with Efficient Estimation of the Number of Clusters
- Evaluating host-based anomaly detection systems: Application of the one-class SVM algorithm to ADFA-LD
- Generation of a new IDS test dataset: Time to retire the KDD collection
- Testing Intrusion detection systems
- CID: an efficient complexity-invariant distance for time series
- An in-depth analysis on traffic flooding attacks detection and system using data mining techniques
- Statistical analysis of honeypot data and building of Kyoto 2006+ dataset for NIDS evaluation
- Toward developing a systematic approach to generate benchmark datasets for intrusion detection
- k-Shape: Efficient and Accurate Clustering of Time Series
- Evaluating data mining procedures: techniques for generating artificial data sets
- Anomaly Based Intrusion Detection Using Hybrid Learning Approach of Combining k-Medoids Clustering and Naïve Bayes Classification
- A detailed analysis of the KDD CUP 99 data set
- Analysis of the 1999 DARPA/Lincoln Laboratory IDS evaluation data with NetADHICT
- A methodology to evaluate rate-based intrusion prevention system against distributed denial-of-service (DDoS).
- How to Test DoS Defenses
- Uses and Challenges for Network Datasets
Cited by
- Ensemble classifier for misuse detection using N-gram feature vectors through operating system call traces
- Toward Generating a New Intrusion Detection Dataset and Intrusion Traffic Characterization
- A Taxonomy and Survey of Intrusion Detection System Design Techniques, Network Threats and Datasets
- Adaptive anomaly‐based intrusion detection system using genetic algorithm and profiling
- Study of long short-term memory in flow-based network intrusion detection system
- A deep learning method to detect network intrusion through flow‐based features
- Qualitative evaluation of denial of service datasets
- Infrastructure for Generating New IDS Dataset
- Multi-Layer Hidden Markov Model Based Intrusion Detection System
- Integrating Plausibility Checks and Machine Learning for Misbehavior Detection in VANET
- A Holistic Approach to Evaluating Cyber Security Defensive Capabilities
- Exploiting Incremental Classifiers for the Training of an Adaptive Intrusion Detection Model
- An evaluation framework for network security visualizations
- A Survey of Network-based Intrusion Detection Data Sets
- Toward a Lightweight Intrusion Detection System for the Internet of Things
- Evaluation of Machine Learning Classifiers for Zero-Day Intrusion Detection - An Analysis on CIC-AWS-2018 dataset
- Intrusion Detection Using Big Data and Deep Learning Techniques
- A review of scientific research in defensive cyberspace operation tools and technologies
- Empirical study on multiclass classification‐based network intrusion detection
- Intelligent approach to build a Deep Neural Network based IDS for cloud environment using combination of machine learning algorithms
Related papers
- Theoretical Analysis of the Benchmark for Choosing Manipulative Instruments of Monetary Policies
- Exploring disk performance benchmarks
- Solutions to the Third Benchmark Control Problem
- Research of outlier detection based adaptive intrusion detection techniques
- Mobile Agents in Intrusion Detection System: Review and Analysis
- Research on Network Intrusion Detection Based on Data Mining Technology
- Study on the Realization of Detection of Intrusion Based on Data Mining
- Research on Intrusion Detection based on Data Mining