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A holistic review of network anomaly detection systems: A comprehensive survey
Abstract Network Anomaly Detection Systems (NADSs) are gaining a more important role in
most network defense systems for detecting and preventing potential threats. The paper …
most network defense systems for detecting and preventing potential threats. The paper …
A review on machine learning approaches for network malicious behavior detection in emerging technologies
Network anomaly detection systems (NADSs) play a significant role in every network
defense system as they detect and prevent malicious activities. Therefore, this paper offers …
defense system as they detect and prevent malicious activities. Therefore, this paper offers …
Detecting attacks against robotic vehicles: A control invariant approach
Robotic vehicles (RVs), such as drones and ground rovers, are a type of cyber-physical
systems that operate in the physical world under the control of computing components in the …
systems that operate in the physical world under the control of computing components in the …
Generating network intrusion detection dataset based on real and encrypted synthetic attack traffic
A Ferriyan, AH Thamrin, K Takeda, J Murai - applied sciences, 2021 - mdpi.com
The lack of publicly available up-to-date datasets contributes to the difficulty in evaluating
intrusion detection systems. This paper introduces HIKARI-2021, a dataset that contains …
intrusion detection systems. This paper introduces HIKARI-2021, a dataset that contains …
Hybrid intrusion detection and signature generation using deep recurrent neural networks
Automated signature generation for Intrusion Detection Systems (IDSs) for proactive security
of networks is a promising area of research. An IDS monitors a system or activities of a …
of networks is a promising area of research. An IDS monitors a system or activities of a …
Software-based realtime recovery from sensor attacks on robotic vehicles
We present a novel technique to recover robotic vehicles (RVs) from various sensor attacks
with so-called software sensors. Specifically, our technique builds a predictive state-space …
with so-called software sensors. Specifically, our technique builds a predictive state-space …
Real-time adaptive sensor attack detection in autonomous cyber-physical systems
Cyber-Physical Systems (CPS) tightly couple information technology with physical
processes, which rises new vulnerabilities such as physical attacks that are beyond …
processes, which rises new vulnerabilities such as physical attacks that are beyond …
Dynamical analysis of diversity in rule-based open source network intrusion detection systems
Diverse layers of defence play an important role in the design of defence-in-depth
architectures. The use of Intrusion Detection Systems (IDSs) are ubiquitous in this design …
architectures. The use of Intrusion Detection Systems (IDSs) are ubiquitous in this design …
SoftSwitch: A centralized honeypot-based security approach using software-defined switching for secure management of VLAN networks
Honeypot systems are traps for intruders which simulate real systems such as web,
application, and database servers used in information systems. Using these systems …
application, and database servers used in information systems. Using these systems …
SWAF: a smart web application firewall based on convolutional neural network
Internet network carries a huge stream of HTTP requests and responses between users and
servers. Securing server data access is primordial for internet users to enhance confidence …
servers. Securing server data access is primordial for internet users to enhance confidence …