A honeypot is a computer security mechanism designed to detect unauthorized access. It acts as a trap for attackers by diverting their attention from real network resources. The main functions of a honeypot are to build attacker profiles, identify preferred attack methods, and capture new viruses. Honeypots are classified by their level of interaction (low interaction provides emulated services while high interaction uses actual operating systems), implementation (physical vs virtual), and purpose (research to discover new attacks vs production to detect threats).
Honeypot is an exciting new technology with enormous potential for the security community.It is resource which is intended to be attacked and compromised to gain more information about the attacker and his attack techniques.
"Honeypot 101"
Computing Society, Royal Holloway, University of London
March, 2015
Abstract: How many times have you come across the term “honeypot” in your lectures and textbooks, or security talks? How much do you know about them? Is “honeypot” a security tool or concept? In this presentation, I’ll walk you through the basics of honeypots, discuss its applications, and demonstrate some honeypots used by researchers.
Edgis Sharing Session – Introduction to Honeypots
at Whitehat Society, Singapore Management University
September 2012
at Computing Society, Royal Holloway, University of London
February 2013
A honeypot is a fictitious vulnerable IT system used for the purpose of being attacked, probed, exploited and compromised
Rasool Irfan - Cyber Security Strategist
Everything you really need to know about IDS (Intrusion Detection Systems) Combining with HoneyPots. Deployment and usage techniques used in the past and today. How to setup and deploy onto any network including the cloud. Reasons why this should be used in all networks. How to bring BIG DATA down to Small Data that is easy to understand and monitor.
It’s all over the news that data breaches occur daily! I asked WHY these hackers can download terabytes of data in timespans of months without being noticed. What are these companies paying their SOC team millions of dollars for? How come all the money is going to devices to prevent breaches and little to none in detecting when they occur? Don’t people know there are only two types of companies “those that been hacked, and those that don’t know they been hacked”. What can I do to detect a breach within seconds on any network scale? I think I figured it out. In my talk you’ll learn how you and your clients can benefit by applying my exclusive techniques, which I’ve successfully deployed. So the next time you get hacked the hacker would not be able to steal all those credit cards and photos of that Halloween party.
Honeypot is an exciting new technology with enormous potential for the security community.It is resource which is intended to be attacked and compromised to gain more information about the attacker and his attack techniques.
"Honeypot 101"
Computing Society, Royal Holloway, University of London
March, 2015
Abstract: How many times have you come across the term “honeypot” in your lectures and textbooks, or security talks? How much do you know about them? Is “honeypot” a security tool or concept? In this presentation, I’ll walk you through the basics of honeypots, discuss its applications, and demonstrate some honeypots used by researchers.
Edgis Sharing Session – Introduction to Honeypots
at Whitehat Society, Singapore Management University
September 2012
at Computing Society, Royal Holloway, University of London
February 2013
A honeypot is a fictitious vulnerable IT system used for the purpose of being attacked, probed, exploited and compromised
Rasool Irfan - Cyber Security Strategist
Everything you really need to know about IDS (Intrusion Detection Systems) Combining with HoneyPots. Deployment and usage techniques used in the past and today. How to setup and deploy onto any network including the cloud. Reasons why this should be used in all networks. How to bring BIG DATA down to Small Data that is easy to understand and monitor.
It’s all over the news that data breaches occur daily! I asked WHY these hackers can download terabytes of data in timespans of months without being noticed. What are these companies paying their SOC team millions of dollars for? How come all the money is going to devices to prevent breaches and little to none in detecting when they occur? Don’t people know there are only two types of companies “those that been hacked, and those that don’t know they been hacked”. What can I do to detect a breach within seconds on any network scale? I think I figured it out. In my talk you’ll learn how you and your clients can benefit by applying my exclusive techniques, which I’ve successfully deployed. So the next time you get hacked the hacker would not be able to steal all those credit cards and photos of that Halloween party.
Honeypots are information system resources whose value lie in illicit use of them.In simple words, they are a trap to track the ways in which a hacker can can attack a valuable resource to extract information from it.
Honey pots are generally based on a real server, real operating system, and with data that appears to be real. One of the main differences is the location of the machine in relation to the actual servers. The most important activity of a honeypot is to capture the data, the ability to log, alert, and capture everything the bad guy is doing. Most honeypot solutions, such as Honeyd or Specter, have their own logging and alerting capabilities. This gathered information can prove to be quiet critical against the attacker. Honeypots only see activities that interact with them and do not capture attack, directed against other existing systems.
Risk of being compromised: A Honeypot may be used as a platform to launch further attacks.
At the end it would not be wrong to say that honeypots are good resources to track attackers, and its value lies in being attacked. But at the same time due to the listed disadvantages above Honeypots cannot replace any security mechanisms; they can only work to enhance the overall security.
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.
Basic knowledge on Honeypot - Principles, Infrastructure and Logs monitoring. Honeypot is one more layers of depends and gathers information to analysis the attacker end.
Honeypots are information system resources whose value lie in illicit use of them.In simple words, they are a trap to track the ways in which a hacker can can attack a valuable resource to extract information from it.
Honey pots are generally based on a real server, real operating system, and with data that appears to be real. One of the main differences is the location of the machine in relation to the actual servers. The most important activity of a honeypot is to capture the data, the ability to log, alert, and capture everything the bad guy is doing. Most honeypot solutions, such as Honeyd or Specter, have their own logging and alerting capabilities. This gathered information can prove to be quiet critical against the attacker. Honeypots only see activities that interact with them and do not capture attack, directed against other existing systems.
Risk of being compromised: A Honeypot may be used as a platform to launch further attacks.
At the end it would not be wrong to say that honeypots are good resources to track attackers, and its value lies in being attacked. But at the same time due to the listed disadvantages above Honeypots cannot replace any security mechanisms; they can only work to enhance the overall security.
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.
Basic knowledge on Honeypot - Principles, Infrastructure and Logs monitoring. Honeypot is one more layers of depends and gathers information to analysis the attacker end.
Honeypots only see activities that interact with them and do not capture attack, directed against other existing systems.
Risk of being compromised: A Honeypot may be used as a platform to launch further attacks.
At the end it would not be wrong to say that honeypots are good resources to track attackers, and its value lies in being attacked. But at the same time due to the listed disadvantages above Honeypots cannot replace any security mechanisms; they can only work to enhance the overall security.
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Honeypot is an exciting new technology with enormous potential for the security community.It is resource which is intended to be attacked and compromised to gain more information about the attacker and his attack techniques.
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.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
2. What is Honeypot?
A honeypot is a computer security mechanism set to detect, deflect
or counteract attempts at unauthorized use of information system.
It’s simply a TRAP to attacker.
Main Functions 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 capture new viruses or worms for future study.
3. HISTORY
• The idea of honeypots began with two publications, “ The
cuckoos egg” & “ An evening with Bredford ” .
• “ The cuckoos egg “ was about catching a computer hacker
that was searching for secrets in authors corporation.
• “ An evening with Berdferd” is about a hackers moves
through traps that the author used to catch him
5. Level of Interaction:
1. Low Interaction:
- Provide emulated services
- No operating system to access
- Information limited to transactional information and attackers activities with the
emulated services
2. High Interaction:
- Provides actual Operating Systems
- Learn extensive amount of information
- Extensive risk
6. Level of Interaction:
1. Low Interaction:
- Provide emulated services
- No operating system to access
- Information limited to transactional information and attackers activities with the
emulated services
2. High Interaction:
- Provides actual Operating Systems
- Learn extensive amount of information
- Extensive risk
7. Implementation:
1. Physical:
- Real machine
- Own IP Addresses
- Often high-interactive
2. Virtual:
- Simulated by other machines that:
- Respond to the network traffic sent to the honeypots
-May simulate a lot of (different) virtual honeypots at the same time
8. Purpose:
1. Research :
- Discover new attacks
- Understand the black hat community and their attacks
- Build some better defenses against security threats
2. Production:
- Distraction
- Detect internal threats: “Policy/Law Enforcement”
- Security Assessment (Constantly monitors the average
security provided by the network)
9. Thank you
• “If you know the enemy and know yourself, you
need not fear the result of a hundred battles. If you
know yourself but not the enemy, for every victory
gained you will also suffer a defeat. If you know
neither the enemy nor yourself, you will succumb in
every battle.”
•
― Sun Tzu, The Art of War