BotNets
          Presented by:
             Kavisha
    B.Tech.(I.T.)-V semester
Banasthali University, Rajasthan
Outline
What are Botnets?
 Botnet Terminology
 Botnet Life-cycle
 Types of attacks
 Botnets in Network Security
Botnet Detection
 Preventing Botnet Infection
 Conclusion
 References
What are Botnets?
A Botnet is a network of compromised  computers called
Zombie Computers or Bots, under the control of a remote
attacker.

 Bots began as a useful tool. They were originally developed as
a virtual individual that could sit on a IRC channel & monitor
network traffic.

 They are significant contributors to the malicious & criminal
activities on the Internet today and far importantly an
underground network whose size & scope is not fully known.
Botnet Terminology
 Bot Herder(Bot Master)
 Bots
 IRC Server
 Command & Control Server (C&C)
 Bot Herder
   Bot herders(aka Bot Masters)are the hackers who use
    automated techniques to scan specific network ranges and
    find vulnerable systems, on which they can install their
    bot program.
   To create an army of Zombies over internet, attacker
    typically infect machines of home users, network
    maintained by universities or small enterprises, etc.
Bot Master
 Bots
   Bots (also called Zombie Computers)are the
    computers that contribute to the botnet network.
    They run using a hidden channel to communicate
    to their C&C server.
    They can auto scan their environments and
    propagate themselves taking advantage of
    vulnerabilities &weak passwords.
Bots(contd.)
    Generally the more vulnerabilities a bot can scan,
    the more valuable it becomes to the botnet
    controller community. The process of stealing
    computing resources as a result of a system being
    joined to a botnet is called Scrumping.
    Gammima (gaming password stealer), Conficker
    (fake antivirus) and Zeus (information stealer), are
    among what are believed to be the largest botnets,
    according to security firm Damballa.
 IRC Server
   Internet Relay Chat (IRC) is a form of real-time
    Internet text messaging (chat).
   The server listens to connections from IRC clients
    enabling people to talk to each other via the Internet.
   Most IRC servers do not require users to register an
    account but a user will have to set a nickname before
    being connected.
   Most IRC networks lack any strong authentication, and a
    number of tools to provide anonymity on IRC networks
    are available.
   IRC provides a simple, low-latency, widely available, and
    anonymous command and control channel for botnet
    communication.
 Command & Control Server
   C&C infrastructure allows a bot agent to receive
    new instructions, malicious capabilities, update
    existing infections or to instruct the infected
    computer to carry out specific task as dictated by
    the remote controller.
   The criminal actively controlling botnets must
    ensure that their C&C infrastructure is sufficiently
    robust to manage tens-of-thousands of globally
    scattered bots as well as resist attempts to hijack or
    shutdown the botnet.
IRC Server
             IRC Channel




Bot Master
                                  IRC Channel
                                  C&C Traffic




             Attack


   Victim                  Bots
Botnet Life-cycle
Botnet Life-cycle (contd.)
Botnet Life-cycle (contd.)
Botnet Life-cycle (contd.)
Types of attacks
 Distributed Denial of Service (DDoS) attacks
 Sending Spams
 Phishing (fake websites)
 Adware
 Spyware (keylogging, information harvesting)
 Click Fraud
Botnets In Network Security
 Internet users are getting infected by bots.
 Many times corporate and end users are trapped in botnet
  attacks.
 Today 16-25% of the computers connected to the internet are
  members of a botnet.
 According to Damballa’s Technical report, 83.1% of global
  spam in March,2011 was sent by Botnets.
 Computer security experts estimate that most Spam is sent by
  home computers that are controlled remotely & millions of
  these computers are part of Botnets.
Contd.
 2010   was a big year for internet crimes with
  botnets & targeted attacks becoming headlines on
  almost weekly basis. Botnets such as Mariposa,
  Confiker, Koobface have become household
  names.
 The public disclosure of electronic attacks on
  international organizations such as Google, Adobe
  & many others referred to as “Operation Aurora”
  revealed that sophisticated & advanced malware
  are now every day inclusions of the criminal
  toolkits.
Most Wanted Botnets
   Zeus- Compromised U.S. 3.6 million computers.
   Koobface- Compromised U.S. 2.9 million
    computers.
   TidServ- Compromised U.S. 1.5 million
     computers.
   Trojan.Fakeavalert- Compromised U.S. 1.4 million
    computers.
   TR/Dldr.Agent.JKH- Compromised U.S. 1.2 million
    computers.
Botnet Detection
 The two approaches for botnet detection are based
 on::
 Setting up honeynets
 Passive traffic monitoring
      Signature based
      Anomaly based
      DNS based
Botnet Detection: Honeynets
Honeynets
                                                    Windows Honeypot




A honeypot is a trap set to detect, deflect, or in some manner
 counteract attempts at unauthorized use of Information
 Systems.

Generally it consists of a computer, data, or a network site that
 appears to be part of a network, but is actually isolated and
 monitored, and which seems to contain information or a
 resource of value to attackers.
Contd.
 Once an intruder breaks into the victim host, the
  machine or a network administrator can examine the
  intrusion methods used by the intruder.
 Two or more honeypots on a network form a
  Honeynet.
 One practical application of this is the Spamtrap - a
  honeypot that controls spam by masquerading as a type
  of system abused by spammers.
Advantages
 With  the help of honeynets we are able to learn some
  key information (e.g. IP address of the server or
  nickname of the bot) that enable us to
  observe botnets. We can extract the sensitive
  information about bots in a semi-automated fashion with
  the help of a classical Honeywall.
 We are able to monitor the typical commands issued by
  attackers and sometimes we can even capture their
  communication. This helps us in learning more about the
  motives of attackers and their tactics.
Botnet Detection: Traffic Monitoring
 It   helps us to understand what’s there on the network.
 Signature  based: Detection of known botnets.
      Anomaly based: One study found that bots on IRC were
    idle most of the time and would respond faster than a human
    upon receiving a command.
    Detect botnet using following anomalies-
        High network latency
        High volume of traffic
            Unusual system behaviour
          Vulnerable systems
   DNS based: Analysis of DNS traffic generated by botnets.
Botnet Detection up
Honeynets
Bot                     Sensor
                  Malicious Traffic




      Authorize                               Inform bot’s IP




Bot Master                            Admin
Preventing Botnet Infections
 Use a Firewall

 Patch regularly and promptly

 Use Antivirus (AV) software

 Use Anti-Bots

 Deploy an Intrusion Detection System (IDS)

 Deploy an Intrusion Prevention System (IPS)
Conclusion
Botnets pose a significant and growing threat against cyber
security. Even if we use well known techniques, botnets
continue to dominate the cyber threat landscape. As network
security has become integral part of our life, botnets have
become the most serious threat to it. Staying ahead of threat
will require advanced knowledge of building out new anti bot
campaigns. It is very important to detect botnet attack and find
the solution for it.
References
 Adam J. Aviv, Andreas Haeberlen. Challenges in
 Experimenting with Botnet Detection Systems.2011.
 March 2011 Intelligence Report. Symantec. Cloud.
 Paul Bacher, Thorsten Holz, Markus Kotter, Georg
 Wicherski. Know your Enemy: Tracking Botnets.
 Technical Report, The Honeynet Project. Aug 2008.
Botnets

More Related Content

PPTX
PPTX
PPT
Botnet Detection Techniques
PPTX
Password sniffing
PPSX
Cyber crime and cyber security
PPTX
Different types of attacks in internet
PPTX
Computer virus and worms
PPTX
Malware- Types, Detection and Future
Botnet Detection Techniques
Password sniffing
Cyber crime and cyber security
Different types of attacks in internet
Computer virus and worms
Malware- Types, Detection and Future

What's hot (20)

PPT
ODP
Ethical hacking ppt
PPTX
Cyber Threat Hunting Workshop
PPT
DDOS Attack
PDF
Threat Intelligence
PPTX
Cyber Threat Intelligence
PPTX
Botnets In Cyber Security
PPTX
DoS or DDoS attack
PPT
Intrusion Detection Systems and Intrusion Prevention Systems
PDF
Cyber Threat hunting workshop
PPTX
Cyber security
PPTX
An introduction to denial of service attacks
PPTX
Network Security
PPTX
Cyber kill chain
PPTX
Bug Bounty 101
PPTX
Cyber Threat Intelligence | Information to Insight
PPTX
Ethical hacking
PDF
Cyber Threat Intelligence
PPTX
Ethical Hacking
Ethical hacking ppt
Cyber Threat Hunting Workshop
DDOS Attack
Threat Intelligence
Cyber Threat Intelligence
Botnets In Cyber Security
DoS or DDoS attack
Intrusion Detection Systems and Intrusion Prevention Systems
Cyber Threat hunting workshop
Cyber security
An introduction to denial of service attacks
Network Security
Cyber kill chain
Bug Bounty 101
Cyber Threat Intelligence | Information to Insight
Ethical hacking
Cyber Threat Intelligence
Ethical Hacking
Ad

Similar to Botnets (20)

PPT
Botnet
PPTX
introduction to Botnet
PPT
BotNet Attacks
PPTX
unit cyber security BOTNETS Documents.pptx
PPTX
PDF
Evolving Threat Landscapes Web-Based Botnet Through Exploit Kits and Scripts ...
PDF
A review botnet detection and suppression in clouds
PDF
A Survey of Botnet Detection Techniques
PPT
Honeypot Project
PPTX
Mcs2453 aniq mc101053-assignment1
DOC
Botnets And Alife
PPT
Botnets
PPTX
Bots and Botnet
PDF
Understanding the Botnet Phenomenon
PPT
DOCX
All you know about Botnet
PPTX
PPT
botnet.ppt
PDF
BOTNET
PDF
BOTNETS
Botnet
introduction to Botnet
BotNet Attacks
unit cyber security BOTNETS Documents.pptx
Evolving Threat Landscapes Web-Based Botnet Through Exploit Kits and Scripts ...
A review botnet detection and suppression in clouds
A Survey of Botnet Detection Techniques
Honeypot Project
Mcs2453 aniq mc101053-assignment1
Botnets And Alife
Botnets
Bots and Botnet
Understanding the Botnet Phenomenon
All you know about Botnet
botnet.ppt
BOTNET
BOTNETS
Ad

Recently uploaded (20)

PPT
What is a Computer? Input Devices /output devices
PDF
Five Habits of High-Impact Board Members
PPT
Galois Field Theory of Risk: A Perspective, Protocol, and Mathematical Backgr...
PDF
Improvisation in detection of pomegranate leaf disease using transfer learni...
PPTX
MicrosoftCybserSecurityReferenceArchitecture-April-2025.pptx
PDF
A proposed approach for plagiarism detection in Myanmar Unicode text
PPTX
Final SEM Unit 1 for mit wpu at pune .pptx
PDF
How ambidextrous entrepreneurial leaders react to the artificial intelligence...
PDF
“A New Era of 3D Sensing: Transforming Industries and Creating Opportunities,...
PDF
sbt 2.0: go big (Scala Days 2025 edition)
PDF
How IoT Sensor Integration in 2025 is Transforming Industries Worldwide
PPTX
Microsoft Excel 365/2024 Beginner's training
PDF
Flame analysis and combustion estimation using large language and vision assi...
PPTX
The various Industrial Revolutions .pptx
PPTX
Training Program for knowledge in solar cell and solar industry
PPTX
AI IN MARKETING- PRESENTED BY ANWAR KABIR 1st June 2025.pptx
PPTX
Configure Apache Mutual Authentication
PDF
STKI Israel Market Study 2025 version august
PDF
CloudStack 4.21: First Look Webinar slides
PPTX
Custom Battery Pack Design Considerations for Performance and Safety
What is a Computer? Input Devices /output devices
Five Habits of High-Impact Board Members
Galois Field Theory of Risk: A Perspective, Protocol, and Mathematical Backgr...
Improvisation in detection of pomegranate leaf disease using transfer learni...
MicrosoftCybserSecurityReferenceArchitecture-April-2025.pptx
A proposed approach for plagiarism detection in Myanmar Unicode text
Final SEM Unit 1 for mit wpu at pune .pptx
How ambidextrous entrepreneurial leaders react to the artificial intelligence...
“A New Era of 3D Sensing: Transforming Industries and Creating Opportunities,...
sbt 2.0: go big (Scala Days 2025 edition)
How IoT Sensor Integration in 2025 is Transforming Industries Worldwide
Microsoft Excel 365/2024 Beginner's training
Flame analysis and combustion estimation using large language and vision assi...
The various Industrial Revolutions .pptx
Training Program for knowledge in solar cell and solar industry
AI IN MARKETING- PRESENTED BY ANWAR KABIR 1st June 2025.pptx
Configure Apache Mutual Authentication
STKI Israel Market Study 2025 version august
CloudStack 4.21: First Look Webinar slides
Custom Battery Pack Design Considerations for Performance and Safety

Botnets

  • 1. BotNets Presented by: Kavisha B.Tech.(I.T.)-V semester Banasthali University, Rajasthan
  • 2. Outline What are Botnets?  Botnet Terminology  Botnet Life-cycle  Types of attacks  Botnets in Network Security Botnet Detection  Preventing Botnet Infection  Conclusion  References
  • 3. What are Botnets? A Botnet is a network of compromised computers called Zombie Computers or Bots, under the control of a remote attacker.  Bots began as a useful tool. They were originally developed as a virtual individual that could sit on a IRC channel & monitor network traffic.  They are significant contributors to the malicious & criminal activities on the Internet today and far importantly an underground network whose size & scope is not fully known.
  • 4. Botnet Terminology  Bot Herder(Bot Master)  Bots  IRC Server  Command & Control Server (C&C)
  • 5.  Bot Herder  Bot herders(aka Bot Masters)are the hackers who use automated techniques to scan specific network ranges and find vulnerable systems, on which they can install their bot program.  To create an army of Zombies over internet, attacker typically infect machines of home users, network maintained by universities or small enterprises, etc.
  • 7.  Bots  Bots (also called Zombie Computers)are the computers that contribute to the botnet network.  They run using a hidden channel to communicate to their C&C server.  They can auto scan their environments and propagate themselves taking advantage of vulnerabilities &weak passwords.
  • 8. Bots(contd.)  Generally the more vulnerabilities a bot can scan, the more valuable it becomes to the botnet controller community. The process of stealing computing resources as a result of a system being joined to a botnet is called Scrumping.  Gammima (gaming password stealer), Conficker (fake antivirus) and Zeus (information stealer), are among what are believed to be the largest botnets, according to security firm Damballa.
  • 9.  IRC Server  Internet Relay Chat (IRC) is a form of real-time Internet text messaging (chat).  The server listens to connections from IRC clients enabling people to talk to each other via the Internet.  Most IRC servers do not require users to register an account but a user will have to set a nickname before being connected.  Most IRC networks lack any strong authentication, and a number of tools to provide anonymity on IRC networks are available.  IRC provides a simple, low-latency, widely available, and anonymous command and control channel for botnet communication.
  • 10.  Command & Control Server  C&C infrastructure allows a bot agent to receive new instructions, malicious capabilities, update existing infections or to instruct the infected computer to carry out specific task as dictated by the remote controller.  The criminal actively controlling botnets must ensure that their C&C infrastructure is sufficiently robust to manage tens-of-thousands of globally scattered bots as well as resist attempts to hijack or shutdown the botnet.
  • 11. IRC Server IRC Channel Bot Master IRC Channel C&C Traffic Attack Victim Bots
  • 16. Types of attacks  Distributed Denial of Service (DDoS) attacks  Sending Spams  Phishing (fake websites)  Adware  Spyware (keylogging, information harvesting)  Click Fraud
  • 17. Botnets In Network Security  Internet users are getting infected by bots.  Many times corporate and end users are trapped in botnet attacks.  Today 16-25% of the computers connected to the internet are members of a botnet.  According to Damballa’s Technical report, 83.1% of global spam in March,2011 was sent by Botnets.  Computer security experts estimate that most Spam is sent by home computers that are controlled remotely & millions of these computers are part of Botnets.
  • 18. Contd.  2010 was a big year for internet crimes with botnets & targeted attacks becoming headlines on almost weekly basis. Botnets such as Mariposa, Confiker, Koobface have become household names.  The public disclosure of electronic attacks on international organizations such as Google, Adobe & many others referred to as “Operation Aurora” revealed that sophisticated & advanced malware are now every day inclusions of the criminal toolkits.
  • 19. Most Wanted Botnets  Zeus- Compromised U.S. 3.6 million computers.  Koobface- Compromised U.S. 2.9 million computers.  TidServ- Compromised U.S. 1.5 million computers.  Trojan.Fakeavalert- Compromised U.S. 1.4 million computers.  TR/Dldr.Agent.JKH- Compromised U.S. 1.2 million computers.
  • 20. Botnet Detection The two approaches for botnet detection are based on::  Setting up honeynets  Passive traffic monitoring  Signature based  Anomaly based  DNS based
  • 21. Botnet Detection: Honeynets Honeynets Windows Honeypot A honeypot is a trap set to detect, deflect, or in some manner counteract attempts at unauthorized use of Information Systems. Generally it consists of a computer, data, or a network site that appears to be part of a network, but is actually isolated and monitored, and which seems to contain information or a resource of value to attackers.
  • 22. Contd.  Once an intruder breaks into the victim host, the machine or a network administrator can examine the intrusion methods used by the intruder.  Two or more honeypots on a network form a Honeynet.  One practical application of this is the Spamtrap - a honeypot that controls spam by masquerading as a type of system abused by spammers.
  • 23. Advantages  With the help of honeynets we are able to learn some key information (e.g. IP address of the server or nickname of the bot) that enable us to observe botnets. We can extract the sensitive information about bots in a semi-automated fashion with the help of a classical Honeywall.  We are able to monitor the typical commands issued by attackers and sometimes we can even capture their communication. This helps us in learning more about the motives of attackers and their tactics.
  • 24. Botnet Detection: Traffic Monitoring  It helps us to understand what’s there on the network.  Signature based: Detection of known botnets.  Anomaly based: One study found that bots on IRC were idle most of the time and would respond faster than a human upon receiving a command.  Detect botnet using following anomalies-  High network latency  High volume of traffic  Unusual system behaviour  Vulnerable systems  DNS based: Analysis of DNS traffic generated by botnets.
  • 25. Botnet Detection up Honeynets Bot Sensor Malicious Traffic Authorize Inform bot’s IP Bot Master Admin
  • 26. Preventing Botnet Infections  Use a Firewall  Patch regularly and promptly  Use Antivirus (AV) software  Use Anti-Bots  Deploy an Intrusion Detection System (IDS)  Deploy an Intrusion Prevention System (IPS)
  • 27. Conclusion Botnets pose a significant and growing threat against cyber security. Even if we use well known techniques, botnets continue to dominate the cyber threat landscape. As network security has become integral part of our life, botnets have become the most serious threat to it. Staying ahead of threat will require advanced knowledge of building out new anti bot campaigns. It is very important to detect botnet attack and find the solution for it.
  • 28. References  Adam J. Aviv, Andreas Haeberlen. Challenges in Experimenting with Botnet Detection Systems.2011.  March 2011 Intelligence Report. Symantec. Cloud.  Paul Bacher, Thorsten Holz, Markus Kotter, Georg Wicherski. Know your Enemy: Tracking Botnets. Technical Report, The Honeynet Project. Aug 2008.