This document discusses intrusion detection systems (IDS). An IDS monitors network or system activities for malicious activities or policy violations. IDS can be classified based on detection method (anomaly-based detects deviations from normal usage, signature-based looks for known attack patterns) or location (host-based monitors individual systems, network-based monitors entire network traffic). The document outlines strengths and limitations of different IDS types and discusses the future of integrating detection methods.
In computing, a denial-of-service (DoS) attack is an attempt to make a machine or network resource unavailable to its intended users, such as to temporarily or indefinitely interrupt or suspend services of a host connected to the Internet - Wikipedia
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.
In computing, a denial-of-service (DoS) attack is an attempt to make a machine or network resource unavailable to its intended users, such as to temporarily or indefinitely interrupt or suspend services of a host connected to the Internet - Wikipedia
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.
A presentation which on Wireless Network Security. It contains Introduction to wireless networking, security threats and risks, best practices on using wireless networks.
Seminar Presentation | Network Intrusion Detection using Supervised Machine L...Jowin John Chemban
By:
Jowin John Chemban (jowinchemban@gmail.com)
HGW16CS022 (2016-2020 Batch)
S7 B.Tech Computer Science Engineering
Holy Grace Academy of Engineering, Mala
Date : September 2019
The growth of embedded systems connecting to the Internet or "Internet of Things" (IoT) increases year by year. Thus, the IoT ecosystems become new targets of the attackers. This presentation will talk about the basic principle of information security, why we need to secure IoT ecosystems, and also the vulnerabilities and solutions from OWASP.
What is IDS?
Software or hardware device
Monitors network or hosts for:
Malware (viruses, trojans, worms)
Network attacks via vulnerable ports
Host based attacks, e.g. privilege escalation
What is in an IDS?
An IDS normally consists of:
Various sensors based within the network or on hosts
These are responsible for generating the security events
A central engine
This correlates the events and uses heuristic techniques and rules to create alerts
A console
To enable an administrator to monitor the alerts and configure/tune the sensors
Different types of IDS
Network IDS (NIDS)
Examines all network traffic that passes the NIC that the sensor is running on
Host based IDS (HIDS)
An agent on the host that monitors host activities and log files
Stack-Based IDS
An agent on the host that monitors all of the packets that leave or enter the host
Can monitor a specific protocol(s) (e.g. HTTP for webserver)
Five Major Types of Intrusion Detection System (IDS)david rom
Intrusion Detection System (IDS) is designed to monitor an entire network activity, traffic and identify network and system attack with only a few devices.
Basic Network Attacks
The active and passive attacks can be differentiated on the basis of what are they, how they are performed and how much extent of damage they cause to the system resources. But, majorly the active attack modifies the information and causes a lot of damage to the system resources and can affect its operation. Conversely, the passive attack does not make any changes to the system resources and therefore doesn’t causes any damage.
Network sniffers & injection tools
Network Threats Attack
Specific Attack Types
Network Sniffer
How does a Sniffer Work?
How can I detect a packet sniffer?
Packet Sniffer Mitigation
Injection Tools
+ Background & Basics of Web App Security, The HTTP Protocol, Web.
+ Application Insecurities, OWASP Top 10 Vulnerabilities (XSS, SQL Injection, CSRF, etc.)
+ Web App Security Tools (Scanners, Fuzzers, etc), Remediation of Web App
+ Vulnerabilities, Web Application Audits and Risk Assessment.
Web Application Security 101 was conducted by:
Vaibhav Gupta, Vishal Ashtana, Sandeep Singh from Null.
A presentation which on Wireless Network Security. It contains Introduction to wireless networking, security threats and risks, best practices on using wireless networks.
Seminar Presentation | Network Intrusion Detection using Supervised Machine L...Jowin John Chemban
By:
Jowin John Chemban (jowinchemban@gmail.com)
HGW16CS022 (2016-2020 Batch)
S7 B.Tech Computer Science Engineering
Holy Grace Academy of Engineering, Mala
Date : September 2019
The growth of embedded systems connecting to the Internet or "Internet of Things" (IoT) increases year by year. Thus, the IoT ecosystems become new targets of the attackers. This presentation will talk about the basic principle of information security, why we need to secure IoT ecosystems, and also the vulnerabilities and solutions from OWASP.
What is IDS?
Software or hardware device
Monitors network or hosts for:
Malware (viruses, trojans, worms)
Network attacks via vulnerable ports
Host based attacks, e.g. privilege escalation
What is in an IDS?
An IDS normally consists of:
Various sensors based within the network or on hosts
These are responsible for generating the security events
A central engine
This correlates the events and uses heuristic techniques and rules to create alerts
A console
To enable an administrator to monitor the alerts and configure/tune the sensors
Different types of IDS
Network IDS (NIDS)
Examines all network traffic that passes the NIC that the sensor is running on
Host based IDS (HIDS)
An agent on the host that monitors host activities and log files
Stack-Based IDS
An agent on the host that monitors all of the packets that leave or enter the host
Can monitor a specific protocol(s) (e.g. HTTP for webserver)
Five Major Types of Intrusion Detection System (IDS)david rom
Intrusion Detection System (IDS) is designed to monitor an entire network activity, traffic and identify network and system attack with only a few devices.
Basic Network Attacks
The active and passive attacks can be differentiated on the basis of what are they, how they are performed and how much extent of damage they cause to the system resources. But, majorly the active attack modifies the information and causes a lot of damage to the system resources and can affect its operation. Conversely, the passive attack does not make any changes to the system resources and therefore doesn’t causes any damage.
Network sniffers & injection tools
Network Threats Attack
Specific Attack Types
Network Sniffer
How does a Sniffer Work?
How can I detect a packet sniffer?
Packet Sniffer Mitigation
Injection Tools
+ Background & Basics of Web App Security, The HTTP Protocol, Web.
+ Application Insecurities, OWASP Top 10 Vulnerabilities (XSS, SQL Injection, CSRF, etc.)
+ Web App Security Tools (Scanners, Fuzzers, etc), Remediation of Web App
+ Vulnerabilities, Web Application Audits and Risk Assessment.
Web Application Security 101 was conducted by:
Vaibhav Gupta, Vishal Ashtana, Sandeep Singh from Null.
ids&ips technique is used to capture logs,sessions,port no,trojans,and malicious activity on the networkand servers.here u can get detailed about ids and ips techniques
Database firewall is a useful tool that monitor databases to identify and protect against database specific attacks that mostly seek to access sensitive information stored in the databases. However the commercial database firewalls are expensive and needs specific product knowledge, while the opensource database firewalls are designed for specific opensource database servers.
In order to fulfill the need of inexpensive database firewall, Snort - an opensource IDS/IPS - is possible to achieve the goal in some scenarios with familiar rule writing. The paper will explain the limitation of Snort as a database firewall, constraints in commercial database statement and some example implementation.
If you do not have a proper key management process for changing the keys, then it’s better to have no encryption at all. A look inside Key Management Techniques.
An IDS (Intrusion detection system) is a device or software application that monitors network or system
activities for malicious activities or policy violations and produces reports to a management station. IDS
come in a variety of “flavors” and approach the goal of detecting suspicious traffic in different ways.
There are network based (NIDS) and host based (HIDS) intrusion detection systems. Some systems may
attempt to stop an intrusion attempt but this is neither required nor expected of a monitoring system.
Module 19 (evading ids, firewalls and honeypots)Wail Hassan
An Intrusion Detection System (IDS) is a device or software application that monitors network and/or system activities for malicious activities or policy violations and produces reports to a Management Station. Some systems may attempt to stop an intrusion attempt but this is neither required nor expected of a monitoring system.
Intrusion Detection System is a software that keeps monitoring system or network state for possible intrusion and alert the administrator, while IPS is capable of blocking such attacks. Together they constitute IDPS.
An Intrusion Detection System (IDS) is a managed security service that screens network traffic for dubious action and issues alarms when such action is found. It is a product application that examines an organization or a framework for the destructive movement or strategy penetrating. Any vindictive endeavor or infringement is ordinarily revealed either to an executive or gathered midway utilizing security data and occasion the board (SIEM) framework. A SIEM framework incorporates yields from numerous sources and uses alert separating procedures to separate malevolent action from bogus cautions.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
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.
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
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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.
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/
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/
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.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
2. Intrusion and IntrusionIntrusion and Intrusion
DetectionDetection
Intrusion : Attempting to break into orIntrusion : Attempting to break into or
misuse your system.misuse your system.
Intruders may be from outside theIntruders may be from outside the
network or legitimate users of thenetwork or legitimate users of the
network.network.
Intrusion can be a physical, system orIntrusion can be a physical, system or
remote intrusion.remote intrusion.
3. Different ways to intrudeDifferent ways to intrude
Buffer overflowsBuffer overflows
Unexpected combinationsUnexpected combinations
Unhandled inputUnhandled input
Race conditionsRace conditions
4. Intrusion Detection SystemIntrusion Detection System
Knowledge
Base
Response
Model
Alert
Data-
base
Event
Provider
Analysis Engine
Other
machines
5. Intrusion DetectionIntrusion Detection
Systems (IDS)Systems (IDS)
Different ways of classifying an IDSDifferent ways of classifying an IDS
IDS based onIDS based on
– anomaly detectionanomaly detection
– signature based misusesignature based misuse
– host basedhost based
– network basednetwork based
– Stack basedStack based
6. Intrusion DetectionIntrusion Detection
Systems (IDS)Systems (IDS)
Intrusion Detection Systems look forIntrusion Detection Systems look for
attack signatures, which are specificattack signatures, which are specific
patterns that usually indicate maliciouspatterns that usually indicate malicious
or suspicious intent.or suspicious intent.
7. Anomaly based IDSAnomaly based IDS
This IDS models the normal usage ofThis IDS models the normal usage of
the network as a noisethe network as a noise
characterization.characterization.
Anything distinct from the noise isAnything distinct from the noise is
assumed to be an intrusion activity.assumed to be an intrusion activity.
– E.g flooding a host with lots of packet.E.g flooding a host with lots of packet.
The primary strength is its ability toThe primary strength is its ability to
recognize novel attacks.recognize novel attacks.
8. Drawbacks of AnomalyDrawbacks of Anomaly
detection IDSdetection IDS
Assumes that intrusions will beAssumes that intrusions will be
accompanied by manifestations that areaccompanied by manifestations that are
sufficiently unusual so as to permitsufficiently unusual so as to permit
detection.detection.
These generate many false alarms andThese generate many false alarms and
hence compromise the effectiveness of thehence compromise the effectiveness of the
IDS.IDS.
9. Signature based IDSSignature based IDS
This IDS possess an attackedThis IDS possess an attacked
description that can be matched todescription that can be matched to
sensed attack manifestations.sensed attack manifestations.
The question of what information isThe question of what information is
relevant to an IDS depends upon whatrelevant to an IDS depends upon what
it is trying to detect.it is trying to detect.
– E.g DNS, FTP etc.E.g DNS, FTP etc.
10. Signature based IDSSignature based IDS
(contd.)(contd.)
ID system is programmed to interpret a certainID system is programmed to interpret a certain
series of packets, or a certain piece of dataseries of packets, or a certain piece of data
contained in those packets,as an attack. Forcontained in those packets,as an attack. For
example, an IDS that watches web servers mightexample, an IDS that watches web servers might
be programmed to look for the string “phf” as anbe programmed to look for the string “phf” as an
indicator of a CGI program attack.indicator of a CGI program attack.
Most signature analysis systems are based off ofMost signature analysis systems are based off of
simple pattern matching algorithms. In most cases,simple pattern matching algorithms. In most cases,
the IDS simply looks for a sub string within a streamthe IDS simply looks for a sub string within a stream
of data carried by network packets. When it findsof data carried by network packets. When it finds
this sub string (for example, the ``phf'' in ``GET /cgi-this sub string (for example, the ``phf'' in ``GET /cgi-
bin/phf?''), it identifies those network packets asbin/phf?''), it identifies those network packets as
vehicles of an attack.vehicles of an attack.
11. Drawbacks of SignatureDrawbacks of Signature
based IDSbased IDS
They are unable to detect novelThey are unable to detect novel
attacks.attacks.
Suffer from false alarmsSuffer from false alarms
Have to programmed again for everyHave to programmed again for every
new pattern to be detected.new pattern to be detected.
12. Host/Applications basedHost/Applications based
IDSIDS
The host operating system or theThe host operating system or the
application logs in the auditapplication logs in the audit
information.information.
These audit information includesThese audit information includes
events like the use of identification andevents like the use of identification and
authentication mechanisms (loginsauthentication mechanisms (logins
etc.) , file opens and programetc.) , file opens and program
executions, admin activities etc.executions, admin activities etc.
This audit is then analyzed to detectThis audit is then analyzed to detect
trails of intrusion.trails of intrusion.
13. Drawbacks of the hostDrawbacks of the host
based IDSbased IDS
The kind of information needed to beThe kind of information needed to be
logged in is a matter of experience.logged in is a matter of experience.
Unselective logging of messages mayUnselective logging of messages may
greatly increase the audit and analysisgreatly increase the audit and analysis
burdens.burdens.
Selective logging runs the risk thatSelective logging runs the risk that
attack manifestations could be missed.attack manifestations could be missed.
14. Strengths of the hostStrengths of the host
based IDSbased IDS
Attack verificationAttack verification
System specific activitySystem specific activity
Encrypted and switch environmentsEncrypted and switch environments
Monitoring key componentsMonitoring key components
Near Real-Time detection andNear Real-Time detection and
response.response.
No additional hardwareNo additional hardware
15. Stack based IDSStack based IDS
They are integrated closely with theThey are integrated closely with the
TCP/IP stack, allowing packets to beTCP/IP stack, allowing packets to be
watched as they traverse their way upwatched as they traverse their way up
the OSI layers.the OSI layers.
This allows the IDS to pull the packetsThis allows the IDS to pull the packets
from the stack before the OS or thefrom the stack before the OS or the
application have a chance to processapplication have a chance to process
the packets.the packets.
16. Network based IDSNetwork based IDS
This IDS looks for attack signatures inThis IDS looks for attack signatures in
network traffic via a promiscuousnetwork traffic via a promiscuous
interface.interface.
A filter is usually applied to determineA filter is usually applied to determine
which traffic will be discarded orwhich traffic will be discarded or
passed on to an attack recognitionpassed on to an attack recognition
module. This helps to filter out knownmodule. This helps to filter out known
un-malicious traffic.un-malicious traffic.
17. Strengths of NetworkStrengths of Network
based IDSbased IDS
Cost of ownership reducedCost of ownership reduced
Packet analysisPacket analysis
Evidence removalEvidence removal
Real time detection and responseReal time detection and response
Malicious intent detectionMalicious intent detection
Complement and verificationComplement and verification
Operating system independenceOperating system independence
18. Future of IDSFuture of IDS
To integrate the network and hostTo integrate the network and host
based IDS for better detection.based IDS for better detection.
Developing IDS schemes for detectingDeveloping IDS schemes for detecting
novel attacks rather than individualnovel attacks rather than individual
instantiations.instantiations.