Enhancing the Accuracy of Intrusion Detection Systems by Reducing the Rates of False Positives and False Negatives Through Multi-objective Optimization.
Fatma HachmiKhadouja BoujenfaMohamed LimamPublished in: J. Netw. Syst. Manag. (2019)
Keyphrases
- multi objective optimization
- intrusion detection
- false positives and false negatives
- intrusion detection system
- multi objective
- network security
- anomaly detection
- evolutionary algorithm
- network traffic
- computer networks
- multi objective optimization problems
- network intrusion detection
- nsga ii
- pareto optimal
- cyber security
- multi objective genetic algorithm
- alert correlation
- distributed intrusion detection
- bi objective
- computer security
- intrusion prevention
- multi objective evolutionary algorithms
- differential evolution
- computer systems
- multi objective genetic algorithms
- genetic algorithm
- multiple objectives
- cyber attacks
- network intrusion
- data mining techniques
- data mining
- misuse detection
- complex optimization problems
- attack detection
- pareto frontier
- pareto optimal set
- information security
- machine learning