The document discusses honeypots, which are computer systems designed to attract hackers in order to study their behavior. Honeypots come in two types - production honeypots, which directly protect networks, and research honeypots, which are used to gather threat intelligence. They also vary in their level of interaction, from low-interaction honeypots that emulate systems to high-interaction honeypots with fully functional operating systems. The goals of honeypots are to learn about new attacks, build attacker profiles, and identify vulnerabilities. They provide security benefits but also carry risks if compromised.
This document discusses honeypots, which are decoy computer systems used to gather intelligence about cyber attacks. Honeypots can be classified based on their level of interaction, implementation, and purpose. Low-interaction honeypots like Honeyd simulate some system aspects with minimal risk, while high-interaction honeypots like Honeynet aim to be fully compromised. Honeynets form a network of honeypots to capture extensive attack information for research. The document outlines the architecture and functionality of Honeyd and Honeynet honeypots. Honeypots provide benefits like reduced false alarms and insights into attacker techniques, but also pose risks if they are detected.
This document discusses honeypots, which are decoy computer systems used to gather intelligence about cyber attacks. Honeypots can be classified based on their level of interaction, implementation, and purpose. Low-interaction honeypots like Honeyd simulate some system aspects with minimal risk, while high-interaction honeypots like Honeynet aim to be fully compromised. Honeynets form a network of honeypots to capture extensive attack information for research. The document outlines the architecture and functionality of Honeyd and Honeynet honeypots. Honeypots provide benefits like reduced false alarms and insights into attacker techniques, but also pose risks if they are detected.
Honeypots are decoy systems used to gather threat intelligence. They allow monitoring of attacks to better understand tactics and improve defenses. There are different types, including low-interaction virtual honeypots for ease of use and high-interaction physical honeypots for more detailed data. Honeypots are placed in various network locations and can operate as production systems to detect threats or research systems to collect information. They provide security benefits but also have limitations like narrow views and fingerprinting risks.
The document discusses honeypots, which are computer resources designed to attract unauthorized access. It defines honeypots and outlines their advantages and disadvantages. The document describes different types of honeypots including low, medium, and high interaction honeypots. It also discusses the Honeyd and Honeynet projects, which are frameworks for virtual and actual honeypots respectively.
A Honey Pot is an intrusion (unwanted) detection technique used to study hacker movement and interested to help better system defences against later attacks usually made up of a virtual machine that sits on a network or single client.
The document presents a machine learning-based approach for detecting phishing websites. It proposes using URL obfuscation, third-party service, and hyperlink-based features to train a random forest classifier. The random forest algorithm achieved 99.31% accuracy at classifying websites as legitimate or phishing. Principal component analysis was also applied to further improve the model to 99.55% accuracy. However, the approach is limited as it cannot analyze websites using captcha verification before loading. The quality and size of the training data also impacts the model performance.
Honeypots are information systems designed to detect attacks by capturing unauthorized access. A honeypot mimics real systems to attract hackers while logging their activities without exposing real systems to harm. Honeynets are networks of high-interaction honeypots that provide whole systems for hackers to interact with and reveal their tactics. While helpful for research, honeypots require careful control and monitoring to prevent real damage while gathering forensic data on intrusions and attacks.
This document discusses honeypots, which are decoy computer systems used to gather intelligence about cyber attacks. Honeypots can be classified based on their level of interaction, implementation, and purpose. Low-interaction honeypots like Honeyd simulate some system aspects with minimal risk, while high-interaction honeypots like Honeynet aim to be fully compromised. Honeynets form a network of honeypots to capture extensive attack information for research. The document outlines the architecture and functionality of Honeyd and Honeynet honeypots. Honeypots provide benefits like reduced false alarms and insights into attacker techniques, but also pose risks if they are detected.
This document discusses honeypots, which are decoy computer systems used to gather intelligence about cyber attacks. Honeypots can be classified based on their level of interaction, implementation, and purpose. Low-interaction honeypots like Honeyd simulate some system aspects with minimal risk, while high-interaction honeypots like Honeynet aim to be fully compromised. Honeynets form a network of honeypots to capture extensive attack information for research. The document outlines the architecture and functionality of Honeyd and Honeynet honeypots. Honeypots provide benefits like reduced false alarms and insights into attacker techniques, but also pose risks if they are detected.
Honeypots are decoy systems used to gather threat intelligence. They allow monitoring of attacks to better understand tactics and improve defenses. There are different types, including low-interaction virtual honeypots for ease of use and high-interaction physical honeypots for more detailed data. Honeypots are placed in various network locations and can operate as production systems to detect threats or research systems to collect information. They provide security benefits but also have limitations like narrow views and fingerprinting risks.
The document discusses honeypots, which are computer resources designed to attract unauthorized access. It defines honeypots and outlines their advantages and disadvantages. The document describes different types of honeypots including low, medium, and high interaction honeypots. It also discusses the Honeyd and Honeynet projects, which are frameworks for virtual and actual honeypots respectively.
A Honey Pot is an intrusion (unwanted) detection technique used to study hacker movement and interested to help better system defences against later attacks usually made up of a virtual machine that sits on a network or single client.
The document presents a machine learning-based approach for detecting phishing websites. It proposes using URL obfuscation, third-party service, and hyperlink-based features to train a random forest classifier. The random forest algorithm achieved 99.31% accuracy at classifying websites as legitimate or phishing. Principal component analysis was also applied to further improve the model to 99.55% accuracy. However, the approach is limited as it cannot analyze websites using captcha verification before loading. The quality and size of the training data also impacts the model performance.
Honeypots are information systems designed to detect attacks by capturing unauthorized access. A honeypot mimics real systems to attract hackers while logging their activities without exposing real systems to harm. Honeynets are networks of high-interaction honeypots that provide whole systems for hackers to interact with and reveal their tactics. While helpful for research, honeypots require careful control and monitoring to prevent real damage while gathering forensic data on intrusions and attacks.
Honeypots are systems designed to be probed, attacked, or compromised by cyber attackers. They serve several purposes including detecting attacks, learning how attackers operate, and providing network security. There are two main types - research honeypots which capture extensive information but are complex to deploy, and production honeypots which are easier to use but capture limited data. Honeypots can be low or high interaction, with high interaction honeypots providing more realistic and detailed insights but posing greater risks if compromised.
This document discusses honeypots, which are decoy systems used to gather information about cyber attacks. Honeypots have no production value and anything accessing them is likely an unauthorized probe or attack. They are used to monitor networks for security threats without disrupting normal operations. Honeypots can be classified based on their level of interaction, implementation (physical or virtual), and purpose (production systems or research). They provide valuable security benefits like detecting intruders and gathering threat intelligence, but also have disadvantages like risks of being compromised.
This ppt contains all the basics of honeypots like their types, implementation technologies, position in the network etc.
In the end, it contains a screenshot of a live honeypot processing.
This document discusses honeypots, which are computer systems set up to appear vulnerable in order to attract cyber attacks. It begins by defining honeypots and their purpose of learning about attacks without risking real systems. The document then covers intrusion detection systems (IDS), firewalls, and how honeypots compare to these methods. Honeypots are able to detect both known and unknown attacks, while providing detailed forensic data with fewer false positives than IDS. The document outlines the advantages and disadvantages of honeypots, and concludes they are useful for understanding attack strategies in order to improve security measures.
Honeypots are systems designed to detect attacks by simulating vulnerable systems and monitoring interactions. There are three main types - low-interaction honeypots like Honeyd that simulate services, and high-interaction Gen I and Gen II Honeynets that provide whole system emulations. Honeypots provide prevention by wasting attackers' time, detection of attacks, and research opportunities to understand attack techniques. While they add complexity, honeypots also help with incident response and protecting real systems from learned attacks. Future work may include easier administration, closer integration with other security tools, and more targeted uses.
To modify the fake filesystem in Kippo honeypot:
1. Browse to /honeydrive/kippo/data/fs
2. Create a new directory or file (e.g. myfiles)
3. Modify the script create_filesystem.py to include the newly created directory/file in the fake filesystem
4. Re-run the script to rebuild the fake filesystem pickle file with the modifications
5. Restart Kippo using ./start.sh
6. Now when an attacker SSH's in, they should see the new myfiles directory/file
The fake filesystem is built dynamically using Python scripts and stored in a pickle file. Modifying the creation script allows customizing what
IP spoofing involves falsifying the source IP address of packets sent over the Internet in order to gain an illegitimate advantage or perform malicious acts. There are several types of spoofing, but IP spoofing is used to impersonate another computer in order to access restricted networks or obtain sensitive information. Attackers use IP spoofing in denial of service attacks by flooding victims with spoofed packets to overwhelm their resources. Defenses against IP spoofing include filtering packets at routers to validate source addresses and using cryptographic network protocols to authenticate communications.
The document outlines Prajakta Shinde's seminar on phishing attacks. It defines phishing as attempting to acquire personal information through electronic communication by posing as a trustworthy entity. It discusses common phishing techniques like link manipulation and phone phishing. It also covers types of phishing like deceptive and man-in-the-middle phishing, causes of phishing like user awareness and website vulnerabilities, methods to defend against attacks, and concludes that a combination of user education and security improvements can help reduce phishing.
This document discusses honeypots and honeynets. It begins by explaining that honeypots are fake vulnerable systems used to collect information from attackers without being harmed. There are two main types - low interaction honeypots that emulate services and high interaction honeypots that use real systems. Honeynets are networks of high interaction honeypots used to capture in-depth information on attacks. The document outlines the benefits of honeypots for gathering threat intelligence and tracking attackers. It also discusses some popular honeypot tools and the growing cybersecurity market.
this ppt contents Introduction
Categories of Cyber Crime
Principles of Computer Security
Types of Cyber Crime
Types of Cyber Attack by Percentage
Cyber Threat Evolution
Advantages of Cyber Security
Safety Tips to Cyber Crime
The document describes a proposed system called Link Guard for detecting phishing websites and emails. Link Guard utilizes the characteristics of hyperlinks in phishing attacks to classify links as legitimate or phishing. It works by collecting URL information, storing it in a database, analyzing the links using the Link Guard algorithm, alerting users to potential phishing links, and logging events. The algorithm aims to detect both known and unknown phishing attacks in real-time across email and notification systems.
This document discusses social engineering techniques used to manipulate people into revealing sensitive information or performing actions. It defines social engineering as manipulating people to get them to do what you want. Common techniques include pretending to need help, building trust, and creating a sense of urgency. The document also outlines various human-based and computer-based social engineering methods, such as impersonation, phishing emails, and using popup windows. It notes that the best defenses include shredding documents, security policies and procedures, user awareness training, and keeping systems updated.
This document provides an introduction and overview of honeypots including definitions, uses, types, deployment, and legal issues. It defines a honeypot as a resource designed to be attacked in order to gather information about attacks. Honeypots are used for research, understanding blackhat activities, and building better defenses. They come in low, mid, and high interaction varieties depending on how much an attacker can interact with the operating system. Deployment involves running honeypot programs on hardened machines or using unpatched servers protected by firewalls. Legal issues include privacy, entrapment, and liability concerns.
This document summarizes literature on detecting phishing attacks. It begins with an introduction defining phishing and explaining the broad scope of the problem. It then outlines the document's objectives and various definitions related to phishing. Several techniques for mitigating, detecting, and evaluating phishing attacks are discussed, including user training, software classification, offensive defense, correction approaches, and prevention. Evaluation metrics and examples of detection methods like passive/active warnings, visual similarity analysis, and blacklists are also summarized. The conclusion recommends education as the best defense and outlines common characteristics of phishing attacks.
Cyber security & Importance of Cyber SecurityMohammed Adam
Cybersecurity is important to protect online information and systems from cyber threats. It encompasses physical, technical, and environmental security as well as regulations and third parties. As technology and internet usage increases, cyber threats are also growing. Cybersecurity aims to maintain the confidentiality, integrity, and availability of data and systems. It helps secure data from theft, misuse, and viruses. Common cyber threats include viruses, hackers, malware, trojans, and password cracking. Cybersecurity objectives work to prevent unauthorized access to information and ensure information is authentic and accessible by authorized users. Governments and organizations work to address these threats and improve cybersecurity.
This document discusses phishing, including common techniques like deceptive phishing emails and malware-based attacks. Phishing causes financial loss and data theft due to unawareness and technical sophistication of attacks. Protections include two-factor authentication, HTTPS, checking website reliability, and using anti-phishing toolbars. While phishing can't be eliminated, security technologies and user education can significantly reduce losses.
This document discusses the OSI security architecture and its key concepts of security attacks, mechanisms, and services. It defines security attacks as any action compromising information security, security mechanisms as tools to detect, prevent or recover from attacks, and security services as services enhancing security. The document then discusses common types of security attacks like passive attacks involving unauthorized access and active attacks involving modifying information. It also outlines various cryptographic attacks against cryptosystems like ciphertext-only, known plaintext, chosen plaintext, and brute force attacks. Finally, it describes the main security services provided by cryptography as confidentiality, data integrity, authentication, and non-repudiation.
This document discusses Trojans, backdoors, and other malware. It begins by explaining the origin of the term "Trojan" from the story of the Trojan horse in Greek mythology. It then defines Trojans and different types like destructive, denial of service, and remote access Trojans. The document also covers how systems can become infected, techniques for detecting and hiding malware like Trojans and backdoors, and discusses the historical Back Orifice 2000 backdoor as a case study. It concludes with recommendations for protecting against malware.
The document provides an overview of honeypots and guidelines for setting up and running a research honeynet. It defines honeypots and differentiates between research and production honeypots. It outlines technical requirements for setting up a honeynet, including separating it from other networks, controlling data flow, and capturing data for analysis. It discusses insights that can be gained about attackers' tools and behaviors from observing compromised honeypots. Specifically, it notes the prevalence of script kiddies scanning for vulnerabilities and how they indicate inexperienced attackers may still pose risks if configurations are not secure.
This document provides definitions and explanations of honeypots and honeynets. It begins by defining a honeypot as a resource that pretends to be a real target in order to gather information about attacks without putting real systems at risk. There are different types of honeypots including research/production honeypots and low/high interaction honeypots. Honeynets are networks of multiple honeypot systems that allow for containment of attackers and capture of all activity. Virtual honeynets deploy entire honeynet architectures virtually on single systems. The document outlines advantages like flexibility and minimal resources, and disadvantages like narrow field of view and risk of fingerprinting.
Honeypots are systems designed to be probed, attacked, or compromised by cyber attackers. They serve several purposes including detecting attacks, learning how attackers operate, and providing network security. There are two main types - research honeypots which capture extensive information but are complex to deploy, and production honeypots which are easier to use but capture limited data. Honeypots can be low or high interaction, with high interaction honeypots providing more realistic and detailed insights but posing greater risks if compromised.
This document discusses honeypots, which are decoy systems used to gather information about cyber attacks. Honeypots have no production value and anything accessing them is likely an unauthorized probe or attack. They are used to monitor networks for security threats without disrupting normal operations. Honeypots can be classified based on their level of interaction, implementation (physical or virtual), and purpose (production systems or research). They provide valuable security benefits like detecting intruders and gathering threat intelligence, but also have disadvantages like risks of being compromised.
This ppt contains all the basics of honeypots like their types, implementation technologies, position in the network etc.
In the end, it contains a screenshot of a live honeypot processing.
This document discusses honeypots, which are computer systems set up to appear vulnerable in order to attract cyber attacks. It begins by defining honeypots and their purpose of learning about attacks without risking real systems. The document then covers intrusion detection systems (IDS), firewalls, and how honeypots compare to these methods. Honeypots are able to detect both known and unknown attacks, while providing detailed forensic data with fewer false positives than IDS. The document outlines the advantages and disadvantages of honeypots, and concludes they are useful for understanding attack strategies in order to improve security measures.
Honeypots are systems designed to detect attacks by simulating vulnerable systems and monitoring interactions. There are three main types - low-interaction honeypots like Honeyd that simulate services, and high-interaction Gen I and Gen II Honeynets that provide whole system emulations. Honeypots provide prevention by wasting attackers' time, detection of attacks, and research opportunities to understand attack techniques. While they add complexity, honeypots also help with incident response and protecting real systems from learned attacks. Future work may include easier administration, closer integration with other security tools, and more targeted uses.
To modify the fake filesystem in Kippo honeypot:
1. Browse to /honeydrive/kippo/data/fs
2. Create a new directory or file (e.g. myfiles)
3. Modify the script create_filesystem.py to include the newly created directory/file in the fake filesystem
4. Re-run the script to rebuild the fake filesystem pickle file with the modifications
5. Restart Kippo using ./start.sh
6. Now when an attacker SSH's in, they should see the new myfiles directory/file
The fake filesystem is built dynamically using Python scripts and stored in a pickle file. Modifying the creation script allows customizing what
IP spoofing involves falsifying the source IP address of packets sent over the Internet in order to gain an illegitimate advantage or perform malicious acts. There are several types of spoofing, but IP spoofing is used to impersonate another computer in order to access restricted networks or obtain sensitive information. Attackers use IP spoofing in denial of service attacks by flooding victims with spoofed packets to overwhelm their resources. Defenses against IP spoofing include filtering packets at routers to validate source addresses and using cryptographic network protocols to authenticate communications.
The document outlines Prajakta Shinde's seminar on phishing attacks. It defines phishing as attempting to acquire personal information through electronic communication by posing as a trustworthy entity. It discusses common phishing techniques like link manipulation and phone phishing. It also covers types of phishing like deceptive and man-in-the-middle phishing, causes of phishing like user awareness and website vulnerabilities, methods to defend against attacks, and concludes that a combination of user education and security improvements can help reduce phishing.
This document discusses honeypots and honeynets. It begins by explaining that honeypots are fake vulnerable systems used to collect information from attackers without being harmed. There are two main types - low interaction honeypots that emulate services and high interaction honeypots that use real systems. Honeynets are networks of high interaction honeypots used to capture in-depth information on attacks. The document outlines the benefits of honeypots for gathering threat intelligence and tracking attackers. It also discusses some popular honeypot tools and the growing cybersecurity market.
this ppt contents Introduction
Categories of Cyber Crime
Principles of Computer Security
Types of Cyber Crime
Types of Cyber Attack by Percentage
Cyber Threat Evolution
Advantages of Cyber Security
Safety Tips to Cyber Crime
The document describes a proposed system called Link Guard for detecting phishing websites and emails. Link Guard utilizes the characteristics of hyperlinks in phishing attacks to classify links as legitimate or phishing. It works by collecting URL information, storing it in a database, analyzing the links using the Link Guard algorithm, alerting users to potential phishing links, and logging events. The algorithm aims to detect both known and unknown phishing attacks in real-time across email and notification systems.
This document discusses social engineering techniques used to manipulate people into revealing sensitive information or performing actions. It defines social engineering as manipulating people to get them to do what you want. Common techniques include pretending to need help, building trust, and creating a sense of urgency. The document also outlines various human-based and computer-based social engineering methods, such as impersonation, phishing emails, and using popup windows. It notes that the best defenses include shredding documents, security policies and procedures, user awareness training, and keeping systems updated.
This document provides an introduction and overview of honeypots including definitions, uses, types, deployment, and legal issues. It defines a honeypot as a resource designed to be attacked in order to gather information about attacks. Honeypots are used for research, understanding blackhat activities, and building better defenses. They come in low, mid, and high interaction varieties depending on how much an attacker can interact with the operating system. Deployment involves running honeypot programs on hardened machines or using unpatched servers protected by firewalls. Legal issues include privacy, entrapment, and liability concerns.
This document summarizes literature on detecting phishing attacks. It begins with an introduction defining phishing and explaining the broad scope of the problem. It then outlines the document's objectives and various definitions related to phishing. Several techniques for mitigating, detecting, and evaluating phishing attacks are discussed, including user training, software classification, offensive defense, correction approaches, and prevention. Evaluation metrics and examples of detection methods like passive/active warnings, visual similarity analysis, and blacklists are also summarized. The conclusion recommends education as the best defense and outlines common characteristics of phishing attacks.
Cyber security & Importance of Cyber SecurityMohammed Adam
Cybersecurity is important to protect online information and systems from cyber threats. It encompasses physical, technical, and environmental security as well as regulations and third parties. As technology and internet usage increases, cyber threats are also growing. Cybersecurity aims to maintain the confidentiality, integrity, and availability of data and systems. It helps secure data from theft, misuse, and viruses. Common cyber threats include viruses, hackers, malware, trojans, and password cracking. Cybersecurity objectives work to prevent unauthorized access to information and ensure information is authentic and accessible by authorized users. Governments and organizations work to address these threats and improve cybersecurity.
This document discusses phishing, including common techniques like deceptive phishing emails and malware-based attacks. Phishing causes financial loss and data theft due to unawareness and technical sophistication of attacks. Protections include two-factor authentication, HTTPS, checking website reliability, and using anti-phishing toolbars. While phishing can't be eliminated, security technologies and user education can significantly reduce losses.
This document discusses the OSI security architecture and its key concepts of security attacks, mechanisms, and services. It defines security attacks as any action compromising information security, security mechanisms as tools to detect, prevent or recover from attacks, and security services as services enhancing security. The document then discusses common types of security attacks like passive attacks involving unauthorized access and active attacks involving modifying information. It also outlines various cryptographic attacks against cryptosystems like ciphertext-only, known plaintext, chosen plaintext, and brute force attacks. Finally, it describes the main security services provided by cryptography as confidentiality, data integrity, authentication, and non-repudiation.
This document discusses Trojans, backdoors, and other malware. It begins by explaining the origin of the term "Trojan" from the story of the Trojan horse in Greek mythology. It then defines Trojans and different types like destructive, denial of service, and remote access Trojans. The document also covers how systems can become infected, techniques for detecting and hiding malware like Trojans and backdoors, and discusses the historical Back Orifice 2000 backdoor as a case study. It concludes with recommendations for protecting against malware.
The document provides an overview of honeypots and guidelines for setting up and running a research honeynet. It defines honeypots and differentiates between research and production honeypots. It outlines technical requirements for setting up a honeynet, including separating it from other networks, controlling data flow, and capturing data for analysis. It discusses insights that can be gained about attackers' tools and behaviors from observing compromised honeypots. Specifically, it notes the prevalence of script kiddies scanning for vulnerabilities and how they indicate inexperienced attackers may still pose risks if configurations are not secure.
This document provides definitions and explanations of honeypots and honeynets. It begins by defining a honeypot as a resource that pretends to be a real target in order to gather information about attacks without putting real systems at risk. There are different types of honeypots including research/production honeypots and low/high interaction honeypots. Honeynets are networks of multiple honeypot systems that allow for containment of attackers and capture of all activity. Virtual honeynets deploy entire honeynet architectures virtually on single systems. The document outlines advantages like flexibility and minimal resources, and disadvantages like narrow field of view and risk of fingerprinting.
Client Honeypot Based Drive by Download Exploit Detection and their Categoriz...IJERA Editor
Client side attacks are those which exploits the vulnerabilities in client side applications such as browsers, plug-ins etc. The remote attackers execute the malicious code in end user’s system without his knowledge. Here in this research, we propose to detect and measure the drive by download class of malware which infect the end user’s system through HTTP based propagation mechanism. The purpose of this research is to introduce a class of technology known as client honeypot through which we execute the domains in a virtual machine in more optimized manner. Those virtual machines are the controlled environment for the execution of those URLs. During the execution of the websites, the PE files dropped into the system are logged and further analyzed for categorization of malware. Further the critical analysis has been performed by applying some reverse engineering techniques to categories the class of malware and source of infections performed by the malware.
The document discusses honeypot security. A honeypot is a decoy system designed to attract hackers to gain insight into attack techniques. Honeypots are classified as low-interaction (emulating services) or high-interaction (real systems). They can be deployed individually, alongside real servers, or in honeynets (fake networks). Examples of free and commercial honeypot systems are provided. While honeypots provide security benefits, risks exist if not properly isolated from production networks.
This is a Seminar Report on a computer security mechanism named Honeypot. In this I've included Honeypot Basics, Types, Value, Implementation, Merits & Demerits, Legal issues and Future of Honeypots.
The document describes a proposed integrated honeypot system that aims to detect zero-day attacks, SSH attacks, and keylogger-spyware attacks. The system uses honeypots deployed in virtual machines to log attack behaviors. A separate detection framework then analyzes the honeypot logs to generate new signatures for intrusion detection and prevention systems like Snort. The integrated honeypot includes features for logging details of the targeted attacks. The system is meant to help update defenses against new attack patterns.
Today internet security is a serious problem. For every consumer and business that is on the Internet,
viruses, worms and crackers are a few security threats. There are the obvious tools that aid information security
professionals against these problems such as anti-virus software, firewalls and intrusion detection systems, but
these systems can only react to or prevent attacks-they cannot give us information about the attacker, the tools
used or even the methods employed. Given all of these security questions honeypots are a novel approach to
network security and security research alike. It is a resource, which is intended to be attacked and compromised to
gain more information about the attacker and the used tools. It can also be deployed to attract and divert an
attacker from their real targets. Honeypots is an additional layer of security. Honeypots have the big advantage that
they do not generate false alerts as each observed traffic is suspicious, because no productive components are
running on the system. The levels of interaction determines the amount of functionality a honeypots provides that
is low and high interactions.
This document provides an overview of honeypots and the Honeynet Project. Honeypots are fake computer systems designed to attract and monitor hackers. They allow researchers to gather data on hacking techniques without endangering real systems. The document discusses low and high interaction honeypots, virtual versus physical honeypots, and how honeypots are used to collect information on attackers. It also provides an overview of the Honeynet Project, which uses entire networks of high interaction honeypots to obtain in-depth data on hacker tactics and tools.
IJERD (www.ijerd.com) International Journal of Engineering Research and Devel...IJERD Editor
This document compares different types of honeypot systems. It discusses low, medium, and high interaction honeypots. Low interaction honeypots are easiest to install but provide limited information on attackers. High interaction honeypots deploy real operating systems and applications and provide the most detailed attacker information but are also highest risk and hardest to manage. The document analyzes the tradeoffs between honeypot interaction levels in terms of effort, information gathered, and security risks.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Intrusion Detection & Prevention Systems (IDPS) are crucial for protecting computers and detecting threats in real time. As threats have grown in the 21st century, IDPS have also evolved, with different types providing various protection functions. Effective IDPS not only detect and prevent attacks, but also log events, create reports on recent attacks, and provide detailed information. Detection methods include signature-based detection by comparing traffic to known attacks, anomaly-based detection by identifying deviations from normal behavior, and policy-based detection by enforcing allowed functions.
Day by day the internet is becoming an essential part of everyone’s life. In India from 2015 – 2020, there is an increase in internet users by 400 million users. As technology and innovation are increasing rapidly. Security is a key point to keep things in order. Security and privacy are the biggest concern in the world let it is in any field or domain. There is no big difference in cyber security the security is the biggest concern worrying about attacks which could happen anytime. So, in this paper, we are going to talk about honeypot comprehensively. The aim is to track hacker to analyze and understand hacker attacker behavior to create a secure system which is sustainable and efficient. Anoop V Kanavi | Feon Jaison "Honeypot Methods and Applications" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020, URL: https://www.ijtsrd.com/papers/ijtsrd38045.pdf Paper URL : https://www.ijtsrd.com/computer-science/computer-security/38045/honeypot-methods-and-applications/anoop-v-kanavi
Honeypots are systems designed to attract hackers in order to gather information about attacks and attackers. The document discusses different types of honeypots based on their level of interaction, from low-involvement honeypots that only provide basic services to high-involvement honeypots with a full operating system. It also covers honeypot placement options, information gathering techniques, and making honeypots appear attractive to attract more attackers. The goal is to learn about attack patterns and tools used by hackers to improve network defenses.
This document discusses honeypots, which are fake computer systems designed to attract hackers. Honeypots monitor the activity of hackers and collect data on their tactics. They are classified based on their level of interaction (low or high) and implementation environment (research or production). Honeypots provide advantages like detecting new hacking tools and minimizing resources needed. They also have disadvantages like limited visibility and risk of being hijacked. The document discusses practical applications of honeypots for preventing attacks, detecting intrusions, and conducting cyber forensics investigations.
This document contains a presentation on honeypots and steganography. It includes sections on honeypots that define them, discuss their history and classification, and describe their applications and advantages/disadvantages. It also includes sections on steganography that define it, discuss techniques like LSB insertion, and describe applications. The presentation provides an overview of honeypots and steganography for educational purposes.
Honeypots are systems designed to capture unauthorized or illicit activity. They come in two main types: low-interaction honeypots emulate services and have limited interaction, while high-interaction honeypots use real systems and applications and can capture more extensive information but have higher risk. Honeyd is an example of a low-interaction honeypot that monitors unused IP space and emulates services like FTP to detect and log unauthorized activity.
This document proposes a new approach to designing and developing a portable high interaction honeypot system. The key aspects are:
1) It implements the honeypot system on a USB device to provide easy installation, high portability, and plug-and-play operation.
2) The complete honeypot system runs as a live USB system, meaning the operating system runs entirely in memory rather than installing to the hard disk. This allows the system to be restored to its original state by rebooting.
3) It aims to reduce the difficulties in configuring and maintaining high interaction honeypots by making the system easy to deploy and restore. The portable design also helps boost security awareness for users.
The document discusses honeypots, which are decoy computer systems used to detect cyber attacks. It describes two main types of honeypots: low-interaction honeypots, which emulate services and operating systems, and high-interaction honeypots, which use real systems and software. Low-interaction honeypots are easier to deploy but provide limited information, while high-interaction honeypots provide more complete data but also higher risks if not isolated properly. Specific honeypot examples discussed include Honeyd, a low-interaction honeypot, and Honeynets, which use entire decoy networks of high-interaction systems.
IRJET- A Cloud based Honeynet System for Attack Detection using Machine Learn...IRJET Journal
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2. page 212/10/07 Presentation
What is Honeypot? ……
A Honey Pot is an intrusion (unwanted) detection
technique used to study hacker movement and
interested to help better system defences against later
attacks usually made up of a virtual machine that sits on
a network or single client.
A honey pot is a computer system on the Internet that is
expressly set up to attract and "trap" people who
attempt to find access into other people's computer
systems.
This includes the hacker, cracker, and script
A honeypot is a security resource whose value lies in
being probed, attacked, or compromised.
3. page 312/10/07 Presentation
……
They can provide early warning about new attack and
utilization trends and they allow in-depth examination of
unwanted users during and after use of a honeypot.
Many people have their own definition of what a
honeypot is, or what it should accomplish.
Some feel its a solution to deceive attackers
Others feel its a technology used to detect attacks
While other feel honeypots are real computers designed to be
hacked into and learned from .
In reality, they are all correct.
4. page 412/10/07 Presentation
Three goals of the Honey pot system
The virtual system should look as real as possible, it
should attract unwanted intruders to connect to the
virtual machine for study.
The virtual system should be watched to see that it isn’t
used for a massive attack on other systems.
The virtual system should look and feel just like a regular
system, meaning it must include files, directories and
information that will catch the eye of the hacker.
5. page 512/10/07 Presentation
How it works? ……
Honeypots are, in their most basic form, fake information
severs strategically-positioned in a test network, which
are fed with false information made unrecognizable as
files of classified nature.
In turn, these servers are initially configured in a way that
is difficult, but not impossible, to break into them by an
attacker; exposing them deliberately and making them
highly attractive for a hacker in search of a target.
Finally, the server is loaded with monitoring and tracking
tools so every step and trace of activity left by a hacker
can be recorded in a log, indicating those traces of
activity in a detailed way.
6. page 612/10/07 Presentation
……
Honeypots are a highly flexible security tool with
different applications for security. They don't fix a single
problem. Instead they have multiple uses, such as
prevention, detection, or information gathering
7. page 712/10/07 Presentation
Main Function of Honeypot
To divert the attention of the attacker from the real
network, in a way that the main information resources
are not compromised
To build attacker profiles in order to identify their
preferred attack methods, like criminal profile.
To identify new vulnerabilities and risks of various
operating systems, environments and programs which
are not thoroughly identified at the moment.
To capture new viruses or worms for future study.
A group of Honeypots becomes a Honeynet.
8. page 812/10/07 Presentation
Classification of HoneyPots
Honeypots can be classified according to two criteria:
According to their Implementation Environment
According to their Level of Interaction.
These classification criteria eases understanding their
operation and uses when it comes to planning an
implementation of one of them inside a network or IT
infrastructure.
10. page 1012/10/07 Presentation
Production Honeypots: …..
Used to protect organizations in real production
operating environments.
Production honeypots are used to protect your network,
they directly help secure your organization.
Specifically the three layers of prevention, detection, and
response. Honeypots can apply to all three layers. For
prevention, honeypots can be used to slow down or stop
automated attacks.
11. page 1112/10/07 Presentation
…..
For example, the honeypot
Labrea Tarpit is used to "tarpit"
or slow down automated TCP
attacks, such as worms.
Against human attackers,
honeypots can utilize
psychological weapons such as
deception (mislead) or
deterrence (prevention) to
confuse or stop attacks.
12. page 1212/10/07 Presentation
Research Honeypots: …..
These Honeypots are not implemented with the
objective of protecting networks.
They represent educational resources of demonstrative
and research nature whose objective is centered towards
studying all sorts of attack patterns and threats.
A great deal of current attention is focused on Research
Honeypots, which are used to gather information about
the intruders’ actions.
13. page 1312/10/07 Presentation
……
For example, there is some non-profit research
organization focused in voluntary security using
Honeypots to gather information about threats in
cyberspace.
14. page 1412/10/07 Presentation
Level of Interaction …...
The term “Level of Interaction” defines the range of
attack possibilities that a Honeypot allows an attacker to
have.
These categories help us understand not just the type of
Honeypot which a person works with, but also help
define the array of options in relation to the
vulnerabilities intended for the attacker to exploit.
It is used to start the construction of the attacker’s
profile.
15. page 1512/10/07 Presentation
……
classified on the bases of their levels:-
1. HoneyD (Low-Interaction)
2. Honey net (High-Interaction)
16. page 1612/10/07 Presentation
Low-Interaction Honeypots
Low-interaction honeypots are typically the easiest
honeypots to install, configure, deploy, maintain, but
customized to more specific attacks.
Most importantly there is no interaction with the
underlying operating system.
Nepenthes
Honeyd
Honeytrap
Web Applications
17. page 1712/10/07 Presentation
Advantages
Good starting point.
Easy to install, configure, deploy and maintain.
Introduce a low or at least limited risk.
Logging and analyzing is simple.
18. page 1812/10/07 Presentation
Disadvantages
No real interaction for an attacker possible.
Very limited logging abilities.
Can only capture known attacks.
Easily detectable by a skilled attacker
19. page 1912/10/07 Presentation
High-interaction Honeypots
High-interaction honeypots are the extreme of honeypot
technologies.
Provide an attacker with a real operating system where
nothing is emulated or restricted.
Ideally you are rewarded with a vast amount of
information about attackers, their motivation, actions,
tools, behaviour, level of knowledge, origin, identity etc.
It controls an attacker at the network level.
20. page 2012/10/07 Presentation
Advantages
You will face real-life data and attacks so the activities
captured are most valuable.
Learn as much as possible about the attacker, the attack
itself and especially the methodology as well as tools
used.
High-interaction honeypots could help you to prevent
future attacks and get a certain understanding of
possible threats.
21. page 2112/10/07 Presentation
Disadvantage
Building, configuring, deploying and maintaining a high-
interaction honeypot is very time consuming as it
involves a variety of different technologies (e.g. IDS,
firewall etc.) that has to be customized.
Analyzing a compromised honeypot is extremely time
consuming (40 hours for every 30 minutes an attacker
spend on a system).
A high-interaction honeypot introduces a high level of
risk and - if there are no additional precautions in place -
might put an organizations overall IT security at stake.
Might lead to difficult legal situations.
22. page 2212/10/07 Presentation
Intrusion Detection …..
Intrusion Detection is the art of detecting inappropriate,
incorrect, or anomalous activity. Among other tools, an
Intrusion Detection System (IDS) can be used to
determine if a computer network or server has
experienced an unauthorized intrusion
An Intrusion Detection System provides much the same
purpose as a burglar alarm system installed in a house. In
case of a (possible) intrusion, the IDS system will issue
some type of warning or alert. An operator will then tag
events of interest for further investigation by the
Incident Handling team
23. page 2312/10/07 Presentation
…...
Traditionally, there are two general types of Intrusion
Detection Systems:
1. Host Based Intrusion Detection Systems (HIDS):
IDS systems that operate on a host to detect malicious
activity on that host;
2. Network Based Intrusion Detection Systems (NIDS):
IDS systems that operate on network data flows.
27. page 2712/10/07 Presentation
Advantages …..
New Tools and Tactics: They are designed to capture
anything that interacts with them, including tools or
tactics never seen before, better known as “zero-days”.
Minimal Resources: This means that resources can be
minimum and still enough to operate a powerful
platform to operate at full scale. i.e. A computer running
with a Pentium Processor with 128 Mb of RAM can easily
handle an entire B-class network.
Information: Honeypots can gather detailed information,
unlike other security incident analysis tools.
28. page 2812/10/07 Presentation
……
IPv6 Encryption: Unlike most security technologies,
Honeypots also work in IPv6 environments. The
Honeypot will detect an IPv6-based attack the same way
it does with an IPv4 attack.
Simplicity: Because of their architecture, Honeypots are
conceptually simple. There is not a reason why new
algorithms, tables or signatures must be developed or
maintained.
29. page 2912/10/07 Presentation
Disadvantages ……
Limited Vision: They can only scan and capture activity
destined to interact directly with them. They do not
capture information related to attacks destined towards
neighboring systems, unless the attacker or the threat
interacts with the Honeypot at the same time.
Risk: Inherently, the use of any security technology
implies a potential risk. Honeypots are no different
because they are also subject to risks, specifically being
hijacked and controlled by the intruder and used as a
launch pad for subsequent attacks.
30. page 3012/10/07 Presentation
……
Biggest challenges which honeypot faces and most
security technology, is configuring them.
Honeypots can carry on risks to a network & must be
handled with care.
Honeypots can only track and capture activity that
directly interacts with them. Therefore honeypots will
not capture attacks against other systems.
31. page 3112/10/07 Presentation
Conclusion
Honey pots are an extremely effective tool for observing
hackers movements as well as preparing the system for
future attacks.
Although the down side to using Honeypots are amount
of resource used, this is usually countered by
implementing a central analysis module, but is still a
security risk if that central module goes down.