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A Bayesian network model on the interlinkage between Socially Responsible HRM, employee satisfaction, employee commitment and organizational performance
In recent years several studies have been made to understand the impact of Socially
Responsible HRM practices on Organizational Performance. Employee progress …
Responsible HRM practices on Organizational Performance. Employee progress …
Trust-based intrusion detection and clustering approach for wireless body area networks
For most of the tele-health applications body area networks (BANs) have become a
favouring and significant technology. This application domain is exclusive so assuring …
favouring and significant technology. This application domain is exclusive so assuring …
Threats and threat intelligence
DPF Möller - Guide to cybersecurity in digital transformation: Trends …, 2023 - Springer
Digital technologies used in digital transformation are essential for every industrial, public,
and private organization. In industry, the automation with its connectedness has …
and private organization. In industry, the automation with its connectedness has …
Students' learning style detection using tree augmented naive Bayes
Students are characterized according to their own distinct learning styles. Discovering
students' learning style is significant in the educational system in order to provide adaptivity …
students' learning style is significant in the educational system in order to provide adaptivity …
Anomaly based intrusion detection using filter based feature selection on KDD-CUP 99
DoS, probing, phishing, website defacements etc. are the major problems being faced by the
network users these days. It has led to exposing of the network resources to the attackers …
network users these days. It has led to exposing of the network resources to the attackers …
Network intrusion detection using hybrid binary PSO and random forests algorithm
Network security risks grow with increase in the network size. In recent past, the attacks on
computer networks have increased tremendously and require efficient network intrusion …
computer networks have increased tremendously and require efficient network intrusion …
A system approach to network modeling for DDoS detection using a Naive Bayesian classifier
Denial of Service (DoS) attacks pose a big threat to any electronic society. DoS and DDoS
attacks are catastrophic particularly when applied to highly sensitive targets like Critical …
attacks are catastrophic particularly when applied to highly sensitive targets like Critical …
Network intrusion detection system: A machine learning approach
Intrusion detection systems (IDSs) are currently drawing a great amount of interest as a key
part of system defence. IDSs collect network traffic information from some point on the …
part of system defence. IDSs collect network traffic information from some point on the …
[PDF][PDF] A survey on feature selection for intrusion detection
This study examines previous research works in applying feature selection to Intrusion
Detection. Feature selection has proven to improve or maintain similar classification …
Detection. Feature selection has proven to improve or maintain similar classification …
Binary PSO and random forests algorithm for PROBE attacks detection in a network
During the past few years, huge amount of network attacks have increased the requirement
of efficient network intrusion detection techniques. Different classification techniques for …
of efficient network intrusion detection techniques. Different classification techniques for …