Bot Detection: 5 Analytics Tools to Spot Bot Traffic
With the noticeable rise in bot attacks in the last few years, tools to regulate fraudulent accounts and transactions and automate quality control in real-time have become necessary for any website.
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Bot traffic contributes to almost 40% of overall internet traffic. It includes both good and bad bots.
While we need good bots like search engines and digital assistants (Siri and Alexa), we must detect bad bots that can disrupt site analytics and generate click frauds.
If you look at the statistical report of 2019, bad bot traffic comprised 24.1% of all website traffic, whereas in the first half of 2020, there was a 38% increase in the rate of automated bot attacks in the financial services vertical.
This is why several organizations are looking for a solution to manage the incoming bot traffic to their sites.
I have found some of the very useful analytics tools that will help you find bot traffic and in many other ways.
Advanced Bot Protection by Imperva is one of the most trusted tools for analyzing bot traffic. The tool collects and analyzes website traffic to pinpoint anomalies.
It uses static, challenge-based, and real-time behavior-based approaches to determine whether the visitor is a human or a bot.
Besides visibility, the tool also gives you control over all types of traffic, including human, good bot, and bad bot traffic.
Its browser validation and advanced automation detection effectively find malicious bots hiding behind shared IP space.
At the same time, it also ensures that legitimate bots and human users have uninterrupted access to your site.
Users can get protection at all access points, be it websites, mobile apps, or APIs.
Also, it prevents different types of threats, such as account aggregation, account creation, ad fraud, CAPTCHA defeat, carding, card cracking, fingerprinting, footprinting, scraping, and more.
Advanced Bot Protection offers flexible deployment options. You can either go for Imperva’s Cloud Application Security platform or a stand-alone connector as per your convenience.
Even if it is a bit expensive, the kind of protection it offers is unparalleled.
Finteza is among those fewer analytics that solely focuses on analyzing the website traffic. It evaluates each website visitor in extreme detail.
It evaluates technical parameters by analyzing visitors’ operating systems, browsers, IP addresses, screen resolution, and more to determine whether the user is a human or a bot.
The behavior of the visitor is also analyzed based on:
- Imitation of mouse movements or screen touches
- Hardware used by the visitor
- The time between user actions
Next, if it is a bot, its complexity is further evaluated to know the category of bots.
After the analysis, Finteza displays a “traffic details” section that includes real users, complex bots, possibly advanced bots, and primitive bots or bad bots.
The list also shows which group the bots belong to which category — sending spam, guessing password, or imitating malignant actions.
Finteza performs multiple analyses to look for any discrepancy in the user’s behavior. If anything is detected, the visitor gets penalty points.
If the violation severity is more, the number of points increases. For each type of violation, the traffic is moved to different categories of colors.
There are five categories of traffic Finteza follows:
- Red: These are ordinary bots that do not attempt to hide.
- Orange: These are low-complexity bots which are manually undetectable.
- Yellow: These are complex bots that may perform human-like actions.
- Light green: These are sophisticated bots that can mimic human behavior convincingly. They are detected under an elaborate analysis of page views, origins, behavior, and other variables.
- Dark green: These are real users. No hunting is allowed in this category.
By these categories, you can quickly conclude if your site is facing bot issues.
Netacea manages bot traffic by following a unique, server-side approach. The idea ensures comprehensive visibility of total traffic to your website, mobile app and API.
Their team of experts analyses the user activity in real-time and provides actionable insights about your traffic. It helps you know the kind of traffic you are receiving and the level of threat you are facing through its data-rich dashboards and enhanced visualizations.
Moreover, once any malicious activity is detected, you can choose the action you want for the activity. You can either automatically redirect, block, or challenge attacks in real-time, or receive alerts notifying you of potential threats.
Powered by machine learning, its multi-dimensional approach prioritizes genuine users in real-time and prevents unwanted bot traffic.
Natacea’s technology works in three layers:
- Active thread database: The database’s source is continuously updated of all identified threats within a fraction of seconds. Also, it suggests the actions to be taken. The update is carried out millions of times throughout the day in real-time as soon as threats are identified or removed.
- Intent analytics: As a machine learning-driven visitor analysis platform, it constantly analyzes all visitors’ ever-evolving behavior in real-time to classify human and bot users.
- Dedicated bot experts: Even after the intense analysis in the previous layer, detailed human analysis is done to ensure the final decision. There is a dedicated team of bot experts, who continuously monitor the activity across the website.
Bot Traffic Protection is one of the many effective solutions offered by IPQualityScore. The organization uses an agile approach to detect bots using different overlapping checks:
- Device fingerprinting: Sometimes, users intentionally manipulate their online signatures like device spoofing, automated behavior, or other strong signals. Therefore, it scans over 300 data points to detect any irregularities in a user's online fingerprint accurately.
- IP reputation: Cybercriminals conceal their location and true identity by hiding their IP addresses using Proxies, Tor nodes, and VPN connections. IPQS’s free Proxy Detection API, as the most comprehensive tool online identifies IP address connections having a high probability of malicious intent.
It includes IP addresses that are anonymous proxies, open proxies, botnets, Tor nodes, hosting providers, VPNs, spammers, malware and spyware, residential proxies, and other undesirable shared connections.
- Machine learning: IPQS runs algorithms to identify new trends from bot traffic quickly. The process is accomplished in one-millionth of a second, thus giving frictionless filtering and seamless user experience.
- Behavioral analysis: IPQS carries out a deep analysis to identify any suspicious behavior in real-time. If there is any indication of non-human actions, headless browsers, and similar bot behavior, immediate automated action is taken.
With this advanced solution, you can mitigate and find even the most sophisticated bots that mimic human behavior. It enables you to prevent account login abuse, scraping, fraudulent accounts and purchases, and any other types of automated, fraudulent behavior.
Radware Bot Manager is cloud-based security software designed to support the small and medium-size business. This affordable solution actively detects bot traffic with malicious intent to enhance user experience.
Radware uses proprietary technologies, artificial intelligence, and machine learning to build a unique fingerprint for each visitor and bot.
Further, it performs exhaustive bot detection tests on the visitor's activity. After that, the bot detection engine determines the visitor as a human, search engine crawler, or a bad bot.
The technology filters highly sophisticated human-like bots. As a result, genuine users don't have to solve a CAPTCHA.
Most importantly, the bot manager can maintain its bot defence capabilities and high scalability even during massive surges in traffic.
Radware Bot Manager has a user-friendly dashboard that provides a comprehensive view of bot traffic stats by URL and section. It displays all the insights into the types of attacks being attempted across your web assets.
You can view the geographical distribution of bot traffic as you access the insights into country-wise bot traffic stats.
The bot manager allows you to take custom actions based on bot signatures and types. For example, you can show a CAPTCHA to bot traffic, block bots outright, or even trick competitors by returning fake data.
It safeguards your website, mobile app, and APIs from bots carrying out website scraping, and content theft. Every process is carried out seamlessly to provide jerk-free experience to genuine visitors.
With the noticeable rise in bot attacks in the last few years, the tools to analyze bot traffic have become necessary for any website.
The tools are designed to regulate fraudulent accounts and transactions and automate quality control in real-time.
Using the solutions listed above, you can minimize fraudulent behavior, fake traffic, and non-human traffic. Consequently, you will be able to increase the most desired integrity and security of your site.
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