To identify bot visits to a website, you can manually verify your web statistics using the following parameters: All you need to learn about the click fraud protection
Unusual increases in traffic may be a sign that hackers are attacking the website. It is especially true if the gridlock happens at any time.
abnormally high or low values could indicate malicious software. For instance, bots that visit a particular website page and then change their IP address will look to have a 100% bounce rate.
During a malicious assault, “direct” traffic which consists of new users and sessions is the main route transmitting traffic.
Geolocations/IPs of concern
A rise in activity from an unidentified IP range or an area where you don’t conduct business.
Unusual visits from a single IP
Humans typically only request a small number of sites, whereas computers frequently request all webpages.
Observing visits from languages other than those your typical customers use. The mentioned are merely illustrative signs of behaviour. Be conscious that advanced malicious bots can produce a user-like, convincing signature in your online statistics which helps for click fraud protection. A specialised bot control tool that offers complete visibility of bot activity gets advised.
Basic Mitigation Measures to Stop Bot Traffic
You can take a few quick steps to prevent at least some bots and lessen your exposure to harmful bots:
Modern Bot Mitigation Methods
Both malware and mitigation strategies developed over time. Currently, there are three technological methods for identifying and countering harmful bots:
Static analysis tools can identify and, if necessary, halt malicious bots by recognizing web queries and header data linked with them.
- To determine whether a guest gets who they claim to be behavioural bot mitigation device examines their behaviour.
- Behavioural bot prevention establishes a baseline of normal behaviour for user interfaces like Google Chrome and tests to see if the current user departs from that behaviour.
- Additionally, it can assess behavioural indicators against previously identified problematic bot signatures.
By combining the three techniques, you can beat evasive algorithms of all types and successfully tell them apart from human traffic. You can use these methods or rely on malware prevention services to take the necessary steps.