Attack detection is a research area in cybersecurity that focuses on developing techniques and technologies to identify and mitigate different types of cyber attacks. These attacks can range from simple threats like malware and phishing scams to more sophisticated attacks such as Distributed Denial of Service (DDoS) attacks and Advanced Persistent Threats (APTs). Researchers in the field of attack detection work to develop algorithms, tools, and systems that can analyze network traffic, system logs, and other data sources to detect signs of malicious activity. This research often involves machine learning, artificial intelligence, and data mining techniques to automatically identify and respond to attacks in real time. The goal of attack detection research is to enhance the security of computer networks and systems by improving the ability to quickly detect and respond to cyber threats before they can cause significant damage or disruption.