This research paper aims to examine the applicability of predictive analytics to improve the
real-time identification and response to cyber-attacks. Today, threats in cyberspace have …

SQL injection is a significant and persistent threat to web services. Most existing protections
against SQL injections rely on traffic-level anomaly detection, which often results in high …

Background: In the last decade, numerous methods have been proposed to define and
detect outliers, particularly in complex environments like networks, where anomalies …

As web attacks have recently increased in number and sophistication, traditional machine
learning methods have struggled to defend against well-designed attacks. Therefore, deep …

Message Queuing Telemetry Transport (MQTT) is a classic transmission protocol in IoT
scenarios, where a subscriber subscribes to the messages, and a publisher publishes the …

Intrusion detection systems based on anomalies (A-IDS) are crucial for detecting
cyberattacks, especially zero-day attacks. Numerous A-IDS proposals in the literature report …

Abstract Internet of Things (IoT) has become one of the most significant technological
advancements of the modern era, which has impacted multiple sectors in the way it provides …

The development of anomaly-based intrusion detection systems is hindered by the scarcity
of adequate datasets. An ideal dataset should contain real traffic, genuine attacks and cover …

In the present digital era, the Internet of Things (IoT) has gained significant traction in the
divergent fields of constructing smart cities, agriculture, medicine, handheld devices and …

Web applications are widely used nowadays, but comprises several vulnerabilities that are
often used by attacker to exploit the system. There is web application firewall (WAF) that …