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 …

Anomaly detection in specific datasets involves the detection of circumstances that are
common in a homogeneous data. When looking at network traffic data, it is generally difficult …

With the rapid increase in smartphones and tablets, Bring Your Own Devices (BYOD) has
simplified computing by introducing the use of personally owned devices. These devices …

Observing network traffic flow for anomalies is a common method in Intrusion Detection.
More effort has been taken in utilizing the data mining and machine learning algorithms to …

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 …

A Quick Response (QR) Code is a type of barcode that can be read by the digital devices
and which stores the information in a square-shaped. The QR Code readers can extract data …

Planning the trash container and recycling management for all the rubbish produced in
community service is an enormous task. Waste and recycled items collection or rubbish …

The emergence of the Internet of Things (IoT) has lead to a technological transformation that
integrates several technologies to represent the future of computing and communications …

This chapter investigates the domain of unsupervised learning algorithms, delivering a
detailed outline of its classifications and essential characteristics. Each algorithm is …

The chapter gives a broad overview to feature selection with an importance on different
selection techniques and algorithms. It utilizes datasets with diverse volume of features and …