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.
Intrusion Detection Systems and Intrusion Prevention Systems Cleverence Kombe
Intrusion detection system (IDS) is software that automates the intrusion detection process. The primary responsibility of an IDS is to detect unwanted and malicious activities. Intrusion prevention system (IPS) is software that has all the capabilities of an intrusion detection system and can also attempt to stop possible incidents.
It deals with and explores the fascinating world of Honey pots.
It describes a security tool and concept known as a Honey pot and Honeynet.
Honey Pots and Honeynets are digital network bait, and through deception, they are designed to actually attract intruders.
www.presentationslive.blogspot.com
Intrusion Detection Systems and Intrusion Prevention Systems Cleverence Kombe
Intrusion detection system (IDS) is software that automates the intrusion detection process. The primary responsibility of an IDS is to detect unwanted and malicious activities. Intrusion prevention system (IPS) is software that has all the capabilities of an intrusion detection system and can also attempt to stop possible incidents.
It deals with and explores the fascinating world of Honey pots.
It describes a security tool and concept known as a Honey pot and Honeynet.
Honey Pots and Honeynets are digital network bait, and through deception, they are designed to actually attract intruders.
www.presentationslive.blogspot.com
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.
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.
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.
Computer Security and Intrusion Detection(IDS/IPS)LJ PROJECTS
This ppt explain you various type of possible attack, security property, Traffic Analysis, Security mechanism Intrusion detection system, vulnerability, Attack framework etc.
A honeypot is a fictitious vulnerable IT system used for the purpose of being attacked, probed, exploited and compromised
Rasool Irfan - Cyber Security Strategist
Intrusion detection and prevention systemNikhil Raj
This presentation describes how to implement Network based Intrusion Detection System (SNORT) in the network. Detecting and analyzing alerts generated and blocking the Attacker using Access Control List.
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.
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.
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.
Computer Security and Intrusion Detection(IDS/IPS)LJ PROJECTS
This ppt explain you various type of possible attack, security property, Traffic Analysis, Security mechanism Intrusion detection system, vulnerability, Attack framework etc.
A honeypot is a fictitious vulnerable IT system used for the purpose of being attacked, probed, exploited and compromised
Rasool Irfan - Cyber Security Strategist
Intrusion detection and prevention systemNikhil Raj
This presentation describes how to implement Network based Intrusion Detection System (SNORT) in the network. Detecting and analyzing alerts generated and blocking the Attacker using Access Control List.
Basic knowledge on Honeypot - Principles, Infrastructure and Logs monitoring. Honeypot is one more layers of depends and gathers information to analysis the attacker end.
Honeypot is a social discovery and monitoring service that allows Brand Owners to continously benchmark their performance with competitors. It instantly analyses and predicts behavior by evaluating user engagement.
Lessons Learned from Building and Running MHN, the World's Largest Crowdsourc...Jason Trost
Honeypots are really useful for collecting security data for research, especially around botnets, scanning hosts, password brute forcers, and other misbehaving systems. They are also the cheapest way collect this data at scale. Deploying many types of honeypots across geo-diverse locations of the Internet improves the aggregate data quality and provides a holistic view. This provides insight into both global trends of attacks and network activity as well as the behaviors of individual malicious systems. For these reasons, we started the Modern Honey Network, which is both an open source (GPLv3) project and a community of hundreds of MHN servers that manage and aggregate data from thousands of heterogeneous honeypots (Dionaea, Kippo, Amun, Conpot, Wordpot, Shockpot, and Glastopf) and network sensors (Snort, Suricata, p0f) deployed by different individuals and organizations as a distributed sensor network. The project has turned into the largest crowdsourced honeynet in the world consisting of thousands of diverse sensors deployed across 35 countries and 5 continents worldwide. Sensors are operated by all sorts of people from hobbyists, to academic researchers, to Fortune 1000 companies. In this talk we will discuss our experience in starting this project, analyzing the data, and building a crowdsourced global sensor network for tracking security threats and gathering interesting data for research. We've found that lots of people like honeypots, especially if you give them a cool realtime visualization of their data and make it easy to setup; lots of organizations will share their data with you if it is part of a community; and lots of companies will deploy honeypots as additional network sensors, especially if you make it easy to deploy/manage/integrate with their existing security tools.
Start-up Stage - Recruitment & Outsourcing for Start-ups - Presentation by Kaya Taner, CEO & Founder of Honeypot at the NOAH 2015 Conference in London, Old Billingsgate on the 12th of November 2015.
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.
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.
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.
InfoSec analysts are all somewhat familiar with Honeypots. When they are given the proper attention, care and feeding, they produce invaluable information and can be a critical asset when it comes to defending the network. This intel has been primarily used by security researchers and organizations with advanced defensive capabilities to study their adversaries and learn from their actions. But what about the rest of us? Honeypots are a lot of work to configure, maintain, and monitor, right? Not exactly; when deployed and monitored properly, Honeypots and Honey Tokens are a simple way to alert on anomalous activity inside the network. But how can an organization that is not focused on research gain valuable threat intelligence using Honeypots and actively defend their network using indicators generated from an internal Honeynet?
The answer is Honeypots for Active Defense. There are currently many open source security tool distributions that come pre-loaded with Honeypots among other useful tools, however the Honeypot software is often not deployed in an effective manner. This session will discuss techniques to leverage Honeypots in ways that will not overburden the security team with massive logs to sift through and focuses efforts on correlating active threat data observed in the Honeypots with the production environment. When deploying Honeypots effectively, this can give security analysts one additional mechanism to tip them off to nefarious activity within their network before they become the next headline.
Using Canary Honeypots for Network Security Monitoringchrissanders88
In this presentation I talk about how honeypots that have more traditionally been used for research purposes can also be used as an effective part of a network security monitoring strategy.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
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/
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™UiPathCommunity
In questo evento online gratuito, organizzato dalla Community Italiana di UiPath, potrai esplorare le nuove funzionalità di Autopilot, il tool che integra l'Intelligenza Artificiale nei processi di sviluppo e utilizzo delle Automazioni.
📕 Vedremo insieme alcuni esempi dell'utilizzo di Autopilot in diversi tool della Suite UiPath:
Autopilot per Studio Web
Autopilot per Studio
Autopilot per Apps
Clipboard AI
GenAI applicata alla Document Understanding
👨🏫👨💻 Speakers:
Stefano Negro, UiPath MVPx3, RPA Tech Lead @ BSP Consultant
Flavio Martinelli, UiPath MVP 2023, Technical Account Manager @UiPath
Andrei Tasca, RPA Solutions Team Lead @NTT Data
2. HONEYPOTS
• 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.
3. HONEYPOTS
• How it works ?
A honeypot consists of data that appears to be
a legitimate part of the site but is actually
isolated and monitored, and that seems to
contain information or a resource of value to
attackers, which are then blocked.
7. HONEYPOTS
• HONEYPOT CLASSIFICATION:
By Implementation
• Virtual
• Physical
By purpose
• Production
• Research
By level of interaction
• High
• Low
• Middle?
8. HONEYPOTS
• IMPLEMENTATION OF HONEYPOT:
Physical
• Real machines
• Own IP Addresses
• Often high-interactive
Virtual
• Simulated by other machines that:
–Respond to the traffic sent to the honeypots
–May simulate a lot of virtual honeypots at the
same time
9. HONEYPOTS
• PROPOSE OF HONEYPOT:
Research
Complex to deploy and maintain.
Captures extensive information.
Run by a volunteer(non-profit).
Used to research the threats organization face.
Production
Easy to use
Capture only limited information
Used by companies or corporations
Mitigates risks in organization