Intrusion detection is used to monitor and capture intrusions into computer and network systems which attempt to compromise their security. Many intrusions manifest in changes in the intensity of events occuring in computer networks. Because of the ability of exponentially weighted moving average (EWMA) control charts to monitor the rate of occurrences of events based on their intensity, this technique is appropriate for implementation in control limits based algorithms. The paper also gives a review of a possible optimization method. The validation check of results will be performed on authentic network samples
Although using statistical modeling techniques for detecting anomaly intrusion and profiling user be...
The extended exponentially weighted moving average (EEWMA) control chart is an instrument for detect...
This research introduces an enhanced exponentially weighted moving average (EWMA) control chart whic...
Intrusion detection is used to monitor and capture intrusions into computer and network systems whic...
Intrusion detection is used to monitor and capture intrusions into computer and network systems, whi...
Abstract—Reliability and quality of service from information systems has been threatened by cyber in...
EWMA control charts are based on the intuitive idea of accumulating information over the time by exp...
Intrusion detection systems have a vital role in protecting computer networks and information system...
Anomaly detection is used to monitor and capture traffic anomalies in network systems. Many anomalie...
The intrusion detection in computer networks is a complex research problem, which requires the under...
Anomaly detection is used to monitor and capture traffic anomalies in network systems. Many anomalie...
In today’s world, the amount of available data is steadily increasing, and it is often of interest t...
In the study of network intrusion, much attention has been drawn to on-time detection of intrusion t...
The need for statistical surveillance has been noted in many different areas, and examples of applic...
The low-rate denial of service (LDoS) attacks reduce network services capabilities by periodically s...
Although using statistical modeling techniques for detecting anomaly intrusion and profiling user be...
The extended exponentially weighted moving average (EEWMA) control chart is an instrument for detect...
This research introduces an enhanced exponentially weighted moving average (EWMA) control chart whic...
Intrusion detection is used to monitor and capture intrusions into computer and network systems whic...
Intrusion detection is used to monitor and capture intrusions into computer and network systems, whi...
Abstract—Reliability and quality of service from information systems has been threatened by cyber in...
EWMA control charts are based on the intuitive idea of accumulating information over the time by exp...
Intrusion detection systems have a vital role in protecting computer networks and information system...
Anomaly detection is used to monitor and capture traffic anomalies in network systems. Many anomalie...
The intrusion detection in computer networks is a complex research problem, which requires the under...
Anomaly detection is used to monitor and capture traffic anomalies in network systems. Many anomalie...
In today’s world, the amount of available data is steadily increasing, and it is often of interest t...
In the study of network intrusion, much attention has been drawn to on-time detection of intrusion t...
The need for statistical surveillance has been noted in many different areas, and examples of applic...
The low-rate denial of service (LDoS) attacks reduce network services capabilities by periodically s...
Although using statistical modeling techniques for detecting anomaly intrusion and profiling user be...
The extended exponentially weighted moving average (EEWMA) control chart is an instrument for detect...
This research introduces an enhanced exponentially weighted moving average (EWMA) control chart whic...