A comprehensive survey on identification and analysis of phishing website based on machine learning methods
MH Alkawaz, SJ Steven… - 2021 IEEE 11th IEEE …, 2021 - ieeexplore.ieee.org
Phishing is a cybercrime which is carried out by imitating a legal website to trick users to
steal their personal data, including usernames, passwords, account numbers, national …
steal their personal data, including usernames, passwords, account numbers, national …
Combining k-means and xgboost models for anomaly detection using log datasets
Computing and networking systems traditionally record their activity in log files, which have
been used for multiple purposes, such as troubleshooting, accounting, post-incident …
been used for multiple purposes, such as troubleshooting, accounting, post-incident …
A survey on forensics and compliance auditing for critical infrastructure protection
The broadening dependency and reliance that modern societies have on essential services
provided by Critical Infrastructures is increasing the relevance of their trustworthiness …
provided by Critical Infrastructures is increasing the relevance of their trustworthiness …
An integrated method for anomaly detection from massive system logs
Logs are generated by systems to record the detailed runtime information about system
operations, and log analysis plays an important role in anomaly detection at the host or …
operations, and log analysis plays an important role in anomaly detection at the host or …
Bigdata logs analysis based on seq2seq networks for cognitive Internet of Things
While bigdata system processes high-volume data at high speed, it also generates a large
amount of logs. However, it is hard for people to predict future events based on massive …
amount of logs. However, it is hard for people to predict future events based on massive …
Big-data analysis of multi-source logs for anomaly detection on network-based system
Log data are important audit basis to record routine events occurring on computer or
network system, which are also critical data source for detecting system anomalies. By …
network system, which are also critical data source for detecting system anomalies. By …
An enhanced network intrusion detection system for malicious crawler detection and security event correlations in ubiquitous banking infrastructure
Purpose In the recent era, banking infrastructure constructs various remotely handled
platforms for users. However, the security risk toward the banking sector has also elevated …
platforms for users. However, the security risk toward the banking sector has also elevated …
An approach to the correlation of security events based on machine learning techniques
K Stroeh, ER Mauro Madeira… - Journal of Internet Services …, 2013 - Springer
Organizations face the ever growing challenge of providing security within their IT
infrastructures. Static approaches to security, such as perimetral defense, have proven less …
infrastructures. Static approaches to security, such as perimetral defense, have proven less …
An unsupervised heterogeneous log-based framework for anomaly detection
Log analysis is a method to identify intrusions at the host or network level by scrutinizing the
log events recorded by the operating systems, applications, and devices. Most work …
log events recorded by the operating systems, applications, and devices. Most work …
Indoor intrusion detection and filtering system using raspberry Pi
UNA Razimi, MH Alkawaz… - 2020 16th IEEE …, 2020 - ieeexplore.ieee.org
Recently, the current available surveillance technology still lacking in many aspect
especially in terms of price and the flexibility of the alert system. In this modern living styles …
especially in terms of price and the flexibility of the alert system. In this modern living styles …