Multi-attribute decision-making for intrusion detection systems: A systematic review
Intrusion detection systems (IDSs) employ sophisticated security techniques to detect
malicious activities on hosts and/or networks. IDSs have been utilized to ensure the security …
malicious activities on hosts and/or networks. IDSs have been utilized to ensure the security …
Real-time security warning and ecu identification for in-vehicle networks
Vehicle intelligence and networking have manifested the significance of the embedded
controller area network (CAN) bus. However, the lack of message encryption and identity …
controller area network (CAN) bus. However, the lack of message encryption and identity …
MS‐ADS: Multistage Spectrogram image‐based Anomaly Detection System for IoT security
The innovative computing idea of Internet‐of‐Things (IoT) architecture has gained
tremendous popularity over the last decade, resulting in an exponential increase in the …
tremendous popularity over the last decade, resulting in an exponential increase in the …
On evaluation of network intrusion detection systems: Statistical analysis of CIDDS-001 dataset using machine learning techniques
In the era of digital revolution, a huge amount of data is being generated from different
networks on a daily basis. Security of this data is of utmost importance. Intrusion Detection …
networks on a daily basis. Security of this data is of utmost importance. Intrusion Detection …
Performance evaluation of learning models for intrusion detection system using feature selection
As computer malware is enlarging with time, the evolution of enhanced intrusion detection
systems (IDSs) has become critical. As a result, there is a necessity to create an effective …
systems (IDSs) has become critical. As a result, there is a necessity to create an effective …
Improving collaborative intrusion detection system using blockchain and pluggable authentication modules for sustainable smart city
The threat of cyber-attacks is ever increasing in today's society. There is a clear need for
better and more effective defensive tools. Intrusion detection can be defined as the detection …
better and more effective defensive tools. Intrusion detection can be defined as the detection …
[PDF][PDF] Ensemble-Based Approach for Efficient Intrusion Detection in Network Traffic.
The exponential growth of Internet and network usage has necessitated heightened security
measures to protect against data and network breaches. Intrusions, executed through …
measures to protect against data and network breaches. Intrusions, executed through …
Outlier based intrusion detection in databases for user behaviour analysis using weighted sequential pattern mining
With the rise of traffic over wide networks, particularly the internet, and the cloud-based
transactions and interactions, database security is important for any organisation. The …
transactions and interactions, database security is important for any organisation. The …
An Enhancing Network Security: A Stacked Ensemble Intrusion Detection System for Effective Threat Mitigation
N Vullam, D Roja, NM Rao, SS Vellela… - 2023 3rd …, 2023 - ieeexplore.ieee.org
Modern cyber security relies heavily on intrusion detection in network traffic to quickly
identify and mitigate security threats. Conventional intrusion detection systems frequently …
identify and mitigate security threats. Conventional intrusion detection systems frequently …
Quantization-aware Neural Architectural Search for Intrusion Detection
Deploying machine learning-based intrusion detection systems (IDSs) on hardware devices
is challenging due to their limited computational resources, power consumption, and …
is challenging due to their limited computational resources, power consumption, and …