An anti-bot system detects and prevents bad bots by using machine learning algorithms to constantly update its understanding of bot behaviors. It identifies bots engaging in spam or cyberattacks, blocks their communication with command and control sites, and provides analytics on bot activity origins, IPs, and outgoing emails. Anti-bot systems can protect against fake website traffic, brute force attacks to steal data, exploitation of IoT devices, and email phishing or spamming attempts.

1. Anti-Botnets
-
Suman Garai
[20BCAR0246]

2. Definition
An anti-bot system is a technology or process put in
place to stop bad bots.
It detects bad bots by using machine learning
algorithms that are constantly updating data about what
bad bots do and trying new ways to detect them. With
these updates, it becomes harder for hackers to get into
your system.
Anti-Botnet solutions from popular corporations like
Symantec, AVG, Sana Security used to exist once,
nowadays, most of them comes pre-integrated with Anti-
Virus softwares.

3. Working procedure
Identification:
This process involves
Identifying specified
actions for a bot such as,
when the computer sends spam
or participates in DOS
attacks. The C&C addresses
used by criminals to control
bots, are constantly
changing. Research is done
for each botnet family to
identify the unique language
that it uses. There are
thousands of existing
different botnet families
and new ones are constantly
emerging.
Prevention:
After the discovery of bot
infected machines, the Anti-
Bot Software blocks outbound
communication to Command &
Control sites based on the
Rule Base. This neutralizes
the threat and makes sure
that no sensitive
information is sent out.
Analytics:
The malware activity views
gives insight as to the
originating regions of
malware, their corresponding
IPs and URLs, and outgoing
emails that were scanned.
The infection statistics and
logs show detailed
information per incident or
infected host and a selected
time interval. They also
show data for overall
scanned hosts in the system
and are saved in online
databases for future
references.

4. Use cases
 Bot Traffic and Attacks Protection: Bots are often used to generate fake traffic on
your website, or as part of an attack. With bot-detection technology, you can identify
bots from bad actors who might be trying to steal information and block them before
they cause damage. Attackers will create a network of compromised devices (also known
as “zombies”) and use it to launch brute force attacks against websites with the
intent of compromising sensitive data stored there. By detecting and blocking these
malicious robots with an anti-bot system, you can protect your data from being stolen.
 IoT Devices Protection: Bots are also used to exploit vulnerabilities in Internet of
Things (IoT) devices and spread malware, which will then – if not stopped – infect
other connected systems on the network. They can be used to protect users from hackers
from eavesdropping on conversations or monitoring people through CCTVs.
 Email Phishing & Spamming Attacks Protection: A type of bot attack where a bad actor
sends out emails from a spoofed address with a harmful attachment or link disguised as
legitimate content in order to steal data. Spammers use unethical methods such as
sending out millions of emails with the sole purpose of getting someone else’s email
address so they can sell it on the dark web or just send unwanted messages—sometimes
even malware—to people who never asked for anything. By identifying spam from bad bots
with anti-bot technology, you’re able to stop spams before your customers or employees
see them.

5. Thank You All
For your Patient Listening
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