aascipsw 
Malicious bot detection is the process of identifying and blocking automated, malicious software programs that perform certain tasks on a website, application or server, like scraping content, creating fake accounts or submitting fraudulent transactions. The goal of bot detection is to protect against malicious attacks and reduce the impact of these attacks on a business’s revenue.
A common way to detect bots is by looking at the user agent headers included with each request, which identify the software and hardware a visitor uses to access a resource. However, sophisticated bad bots can hide their user agents to evade detection by this method. This is why it’s important to look for a solution that uses more than just IP address analysis but also leverages behavioral signals.
Bot Busters: How Advanced Techniques Enhance Malicious Bot Detection
ML-based models can examine the behavior patterns of users, such as mouse movements, keystrokes, and page navigation to identify anomalies that suggest bot-like behavior. These behaviors can then be compared against known bot profiles to flag suspicious activity. Another effective tactic is to check for the use of proxies that are typically associated with bots. For example, a disproportionately large number of requests from residential IPs could be an indicator that the traffic is a bot attack.
Another good way to detect bots is by looking for unexpected and unexplained spikes in traffic or conversions on a website. These spikes may indicate that the user is a bot, especially if they are coming from a single location or a group of locations that don’t have a high population of people fluent in the website’s native language.