Journal of Computer and Communications

Journal of Computer and Communications

ISSN Print: 2327-5219
ISSN Online: 2327-5227
www.scirp.org/journal/jcc
E-mail: jcc@scirp.org
"A Decision Tree Classifier for Intrusion Detection Priority Tagging"
written by Adel Ammar,
published by Journal of Computer and Communications, Vol.3 No.4, 2015
has been cited by the following article(s):
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[1] A consolidated decision tree-based intrusion detection system for binary and multiclass imbalanced datasets
2021
[2] AI Approaches for IoT Security Analysis
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[3] Agrupamento e Classificação de Consumidores de Energia Rural Utilizando Random Forest e K-Nearest Neighbors
2020
[4] Bi-directional Recurrent Neural network for Intrusion Detection System (IDS) in the internet of things (IoT)
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[5] Detecting Stealth-based Attacks in Large Campus Networks
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[6] Designing an effective network forensic framework for the investigation of botnets in the Internet of Things
2020
[7] Performance Comparison and Current Challenges of Using Machine Learning Techniques in Cybersecurity
2020
[8] Machine Learning and Deep Learning Methods for Intrusion Detection Systems: A Survey
2019
[9] A Case Study on Using Deep Learning for Network Intrusion Detection
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[10] Hybrid approach to provide situational awareness for information security in computational environments
2018
[11] Intrusion Detection Techniques: A Review
2018
[12] A Hybrid Architecture to Enrich Context Awareness through Data Correlation
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[13] Anomaly-Based Intrusion Detection Using Extreme Learning Machine and Aggregation of Network Traffic Statistics in Probability Space
Cognitive Computation, 2018
[14] Machine Learning and Deep Learning Methods for Cybersecurity
2018
[15] Mining Anomalies in Large ISCX Dataset Using Machine Learning Algorithms in KNIME
Proceedings of 3rd International Conference on Internet of Things and Connected Technologies (ICIoTCT), 2018
[16] A HYBRID INTRUSION DETECTION TECHNIQUE BASED ON IRF & AODE FOR KDD-CUP 99 DATASET
International Research Journal of Engineering and Technology, 2018
[17] Network Intrusion Detection Using Flow Statistics
2018
[18] Towards the Development of Realistic Botnet Dataset in the Internet of Things for Network Forensic Analytics: Bot-IoT Dataset
2018
[19] Anomaly-Based Intrusion Detection by Modeling Probability Distributions of Flow Characteristics
2017
[20] 2: uma abordagem consciente de situação para segurança em infraestruturas computacionais
Revista Brasileira de Computação Aplicada, 2016
[21] HYBRID INTRUSION DETECTION SYSTEM FOR PRIVATE CLOUD: AN INTEGRATED APPROACH
2016
[22] Σύγχρονα εργαλεία, τεχνικές και μεθοδολογίες για τον χαρακτηρισμό κυβερνοεπιθέσεων και κακόβουλου λογισμικού
2016
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