Nothing Special   »   [go: up one dir, main page]

Phadke et al., 2021 - Google Patents

Updating the Taxonomy of Intrusion Detection Systems

Phadke et al., 2021

Document ID
16401705560671458766
Author
Phadke A
Ustymenko S
Publication year
Publication venue
2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC)

External Links

Snippet

Intrusion detection technology is a version of security technology that monitors systems to detect and handle malicious activities. The most important purpose of an intrusion detection system is to identify attacks against computer systems and connected networks. Thus …
Continue reading at ieeexplore.ieee.org (other versions)

Similar Documents

Publication Publication Date Title
Khraisat et al. A critical review of intrusion detection systems in the internet of things: techniques, deployment strategy, validation strategy, attacks, public datasets and challenges
Martins et al. Host-based IDS: A review and open issues of an anomaly detection system in IoT
US11522887B2 (en) Artificial intelligence controller orchestrating network components for a cyber threat defense
Bijone A survey on secure network: intrusion detection & prevention approaches
Hajj et al. Anomaly‐based intrusion detection systems: The requirements, methods, measurements, and datasets
Asif et al. Network intrusion detection and its strategic importance
Khairkar et al. Ontology for detection of web attacks
Sheeja Intrusion detection system and mitigation of threats in IoT networks using AI techniques: A review.
Momand et al. A systematic and comprehensive survey of recent advances in intrusion detection systems using machine learning: Deep learning, datasets, and attack taxonomy
Noor et al. An intelligent context-aware threat detection and response model for smart cyber-physical systems
Thomas et al. Machine learning and deep learning techniques for IoT-based intrusion detection systems: A literature review
Shankar et al. Deep analysis of risks and recent trends towards network intrusion detection system
Möller Intrusion detection and prevention
Abdelhamid et al. A survey on learning-based intrusion detection systems for IoT networks
Phadke et al. Updating the Taxonomy of Intrusion Detection Systems
Muñoz et al. A novel botnet attack detection for IoT networks based on communication graphs
Bhargava et al. A comprehensive study of IoT security risks in building a secure smart city
Maskat et al. Mobile agents in intrusion detection system: review and analysis
Singh et al. Security and privacy aspect of cyber physical systems
Abou Haidar et al. High perception intrusion detection system using neural networks
Bakshi et al. WSN Security: Intrusion Detection Approaches Using Machine Learning
Iturbe Araya et al. Anomaly-based cyberattacks detection for smart homes: A systematic literature review
Krishnapriya et al. A Comprehensive Survey on Advanced Persistent Threat (APT) Detection Techniques.
Sobh An Artificial Immune System for Detecting Network Anomalies Using Hybrid Immune Theories
Mohammed et al. Malware detection in AdHoc e-government network using machine learning