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.
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.
IPS (Intrusion Prevention System) is definitely the next level of security technology with its capability to
provide security at all system levels from the operating system kernel to network data packets. It
provides policies and rules for network traffic along with an IDS for alerting system or network
administrators to suspicious traffic, but allows the administrator to provide the action upon being
alerted. Where IDS informs of a potential attack, an IPS makes attempts to stop it. Another huge leap
over IDS, is that IPS has the capability of being able to prevent known intrusion signatures, but also
some unknown attacks due to its database of generic attack behaviours. Thought of as a combination of
IDS and an application layer firewall for protection, IPS is generally considered to be the "next
generation" of IDS.
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.
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.
Advanced OSSEC Training: Integration Strategies for Open Source SecurityAlienVault
During this technical one-hour session, Santiago Gonzalez, an OSSEC core team member (System integration, rules & SIEM) and AlienVault Director of Professional Services, will demonstrate how to integrate OSSEC with other 3rd party applications for greater security visibility and response.
To learn more, check out the video: https://www.alienvault.com/resource-center/webcasts/advanced-ossec-training-integration-strategies-for-open-source-security
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.
New Fuzzy Logic Based Intrusion Detection Systemijsrd.com
In this paper, we present an efficient intrusion detection technique. The intrusion detection plays an important role in network security. However, many current intrusion detection systems (IDSs) are signature based systems. The signature based IDS also known as misuse detection looks for a specific signature to match, signaling an intrusion. Provided with the signatures or patterns, they can detect many or all known attack patterns, but they are of little use for as yet unknown attacks. The rate of false positives is close to nil but these types of systems are poor at detecting new attacks, variation of known attacks or attacks that can be masked as normal behavior. Our proposed solution, overcomes most of the limitations of the existing methods. The field of intrusion detection has received increasing attention in recent years. One reason is the explosive growth of the internet and the large number of networked systems that exist in all types of organizations. Intrusion detection techniques using data mining have attracted more and more interests in recent years. As an important application area of data mining, they aim to meliorate the great burden of analyzing huge volumes of audit data and realizing performance optimization of detection rules. The objective of this dissertation is to try out the intrusion detection on large dataset by classification algorithms binary class support vector machine and improved its learning time and detection rate in the field of Network based IDS.
This presentation is about the intrusion detection techniques in a mobile ad hoc network. A MANET is an infrastructure-less network and has no central authority to govern the security check if the new node added to the network is trust worthy or not. There are number of security attacks in a MANET and there are number of advantages of a MANET. Most of its applications prove to be a boon when there is a need of a network for communication in a hostile environment and in remote areas. So it must be made secure. Work is still in progress regarding the security of MANET. The migration to wireless network from wired network
has been a global trend in the past few decades. The mobility
and scalability brought by wireless network made it possible in
many applications. Among all the contemporary wireless networks,
Mobile Ad hoc NETwork (MANET) is one of the most
important and unique applications. On the contrary to traditional
network architecture, MANET does not require a fixed network
infrastructure; every single node works as both a transmitter and
a receiver. Nodes communicate directly with each other when they
are both within the same communication range. Otherwise, they
rely on their neighbors to relay messages. The self-configuring
ability of nodes inMANETmade it popular among criticalmission
applications like military use or emergency recovery. However,
the open medium and wide distribution of nodes make MANET
vulnerable to malicious attackers. In this case, it is crucial to
develop efficient intrusion-detection mechanisms to protect
MANET from attacks. With the improvements of the technology
and cut in hardware costs, we are witnessing a current trend of
expanding MANETs into industrial applications. To adjust to such
trend, we strongly believe that it is vital to address its potential
security issues. In this paper, we propose and implement a new
intrusion-detection system named Enhanced Adaptive ACKnowledgment
(EAACK) specially designed for MANETs. Compared
to contemporary approaches, EAACK demonstrates higher malicious-
behavior-detection rates in certain circumstances while does
not greatly affect the network performances.By definition, Mobile Ad hoc NETwork (MANET) is a
collection of mobile nodes equipped with both a wireless
transmitter and a receiver that communicate with each other
via bidirectional wireless links either directly or indirectly.
Industrial remote access and control via wireless networks are
becoming more and more popular these days. One of the
major advantages of wireless networks is its ability to allow
data communication between different parties and still maintain
their mobility. However, this communication is limited to
the range of transmitters. This means that two nodes cannot
communicate with each other when the distance between the
two nodes is beyond the communication range of their own.
MANET solves this problem by allowing intermediate parties
to relay data transmissions. T
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.
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.
IPS (Intrusion Prevention System) is definitely the next level of security technology with its capability to
provide security at all system levels from the operating system kernel to network data packets. It
provides policies and rules for network traffic along with an IDS for alerting system or network
administrators to suspicious traffic, but allows the administrator to provide the action upon being
alerted. Where IDS informs of a potential attack, an IPS makes attempts to stop it. Another huge leap
over IDS, is that IPS has the capability of being able to prevent known intrusion signatures, but also
some unknown attacks due to its database of generic attack behaviours. Thought of as a combination of
IDS and an application layer firewall for protection, IPS is generally considered to be the "next
generation" of IDS.
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.
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.
Advanced OSSEC Training: Integration Strategies for Open Source SecurityAlienVault
During this technical one-hour session, Santiago Gonzalez, an OSSEC core team member (System integration, rules & SIEM) and AlienVault Director of Professional Services, will demonstrate how to integrate OSSEC with other 3rd party applications for greater security visibility and response.
To learn more, check out the video: https://www.alienvault.com/resource-center/webcasts/advanced-ossec-training-integration-strategies-for-open-source-security
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.
New Fuzzy Logic Based Intrusion Detection Systemijsrd.com
In this paper, we present an efficient intrusion detection technique. The intrusion detection plays an important role in network security. However, many current intrusion detection systems (IDSs) are signature based systems. The signature based IDS also known as misuse detection looks for a specific signature to match, signaling an intrusion. Provided with the signatures or patterns, they can detect many or all known attack patterns, but they are of little use for as yet unknown attacks. The rate of false positives is close to nil but these types of systems are poor at detecting new attacks, variation of known attacks or attacks that can be masked as normal behavior. Our proposed solution, overcomes most of the limitations of the existing methods. The field of intrusion detection has received increasing attention in recent years. One reason is the explosive growth of the internet and the large number of networked systems that exist in all types of organizations. Intrusion detection techniques using data mining have attracted more and more interests in recent years. As an important application area of data mining, they aim to meliorate the great burden of analyzing huge volumes of audit data and realizing performance optimization of detection rules. The objective of this dissertation is to try out the intrusion detection on large dataset by classification algorithms binary class support vector machine and improved its learning time and detection rate in the field of Network based IDS.
This presentation is about the intrusion detection techniques in a mobile ad hoc network. A MANET is an infrastructure-less network and has no central authority to govern the security check if the new node added to the network is trust worthy or not. There are number of security attacks in a MANET and there are number of advantages of a MANET. Most of its applications prove to be a boon when there is a need of a network for communication in a hostile environment and in remote areas. So it must be made secure. Work is still in progress regarding the security of MANET. The migration to wireless network from wired network
has been a global trend in the past few decades. The mobility
and scalability brought by wireless network made it possible in
many applications. Among all the contemporary wireless networks,
Mobile Ad hoc NETwork (MANET) is one of the most
important and unique applications. On the contrary to traditional
network architecture, MANET does not require a fixed network
infrastructure; every single node works as both a transmitter and
a receiver. Nodes communicate directly with each other when they
are both within the same communication range. Otherwise, they
rely on their neighbors to relay messages. The self-configuring
ability of nodes inMANETmade it popular among criticalmission
applications like military use or emergency recovery. However,
the open medium and wide distribution of nodes make MANET
vulnerable to malicious attackers. In this case, it is crucial to
develop efficient intrusion-detection mechanisms to protect
MANET from attacks. With the improvements of the technology
and cut in hardware costs, we are witnessing a current trend of
expanding MANETs into industrial applications. To adjust to such
trend, we strongly believe that it is vital to address its potential
security issues. In this paper, we propose and implement a new
intrusion-detection system named Enhanced Adaptive ACKnowledgment
(EAACK) specially designed for MANETs. Compared
to contemporary approaches, EAACK demonstrates higher malicious-
behavior-detection rates in certain circumstances while does
not greatly affect the network performances.By definition, Mobile Ad hoc NETwork (MANET) is a
collection of mobile nodes equipped with both a wireless
transmitter and a receiver that communicate with each other
via bidirectional wireless links either directly or indirectly.
Industrial remote access and control via wireless networks are
becoming more and more popular these days. One of the
major advantages of wireless networks is its ability to allow
data communication between different parties and still maintain
their mobility. However, this communication is limited to
the range of transmitters. This means that two nodes cannot
communicate with each other when the distance between the
two nodes is beyond the communication range of their own.
MANET solves this problem by allowing intermediate parties
to relay data transmissions. T
this ppt is useful for both b.e/b.tech students as well as for mca students. in this ppt u will find different types of security issues in manet and their countermeasures.
3 Things Every Sales Team Needs to Be Thinking About in 2017Drift
Thinking about your sales team's goals for 2017? Drift's VP of Sales shares 3 things you can do to improve conversion rates and drive more revenue.
Read the full story on the Drift blog here: http://blog.drift.com/sales-team-tips
How to Become a Thought Leader in Your NicheLeslie Samuel
Are bloggers thought leaders? Here are some tips on how you can become one. Provide great value, put awesome content out there on a regular basis, and help others.
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.
Cyber Security: A Hands on review on what is cyber security and how to prevent your devices from hacking and data breach. In today's era almost all devices are connected to internet are available for hackers to breach into and do their work. The data breach can be very dangerous and sometimes even more that it can demolish a company or a person.
In this presentation we will discuss about the ways and short description on Cyber Securty and Techniques.
a brief introduction of cyber war and its methods, may be called "cyber warfare introduction" . i have good knowledge on this domain and i practically follow this method. in this presentation i explain the reference 50% and it will complete on my next upload. please give your feedback if any suggestions to help me. thank you.
New Developments in Cybersecurity and Technology for RDOs: Howlandnado-web
This presentation was delivered at NADO's 2018 Annual Training Conference, held in Charlotte, NC on October 13-16. For more information, visit: https://www.nado.org/events/2018-annual-training-conference/
Security and Ethical Challenges Contributors Kim Wanders.docxedgar6wallace88877
Security and Ethical Challenges
Contributors: Kim Wandersee, Les Pang
Computer Security
Computer Security Goals
Computer security must be viewed in a holistic manner and provide an end-to-end protection
as data moves through its lifecycle. Data originates from a user or sensor, passes over a
network to reach a computing system that hosts software. This computer system has software
and processes the data and stores in in a storage device. That data is backed up on a device
and finally archived. The elements that handle the data need to be secure. Computer security
pertains to all the means to protect the confidentiality, integrity, availability, authenticity,
utility, and possession of data throughout its lifecycle.
Confidentiality: A security principle that
works to ensure that data is not disclosed to
unauthorized persons.
Integrity: A security principle that makes sure
that information and systems are not
modified maliciously or accidentally.
Availability: A security principle that assures
reliable and timely access to data and
resources by authorized individuals.
Authenticity: A security principle that the
data, transactions, communications or
documents are genuine, valid, and not
fraudulent.
Utility: A security principle that addresses
that the information is usable for its intended
purpose. .
Possession: A security principle that works to
ensure that data remains under the control of
the authorized individuals.
Figure 1. Parkerian Hexad (PH) security model.
The Parerian Hexad (PH) model expands on the Confidentiality, Integrity, and Availability (CIA)
triad that has been the basic model of Information Security for over 20 years. This framework is
used to list all aspects of security at a basic level. It provides a complete security framework to
provide the means for information owners to protect their information from any adversaries
and vulnerabilities. It adds Authenticity, Utility, and Possession to CIA triad security model. It
addresses security aspects for data throughout its lifecycle.
The Center for Internet Security has identified 20 controls necessary to protect an organization
from known cyber-attack. The first 5 controls will provide effective defense against the most
common cyber-attacks, approximately 85% of attacks. The 5 controls are:
1. Inventory of Authorized and Devices
2. Inventory of Authorized and Unauthorized Software
3. Secure Configurations for Hardware and Software
4. Continuous Vulnerability Assessment and Remediation
5. Controlled User of Administrative Privileges
A full explanation of all 20 controls is available at the Center for Internet Security website.
Search for CIS controls.
Security Standards and Regulations
The National Institute of Standards and Technology (NIST), Computer Security Division, provides
security standards in its Federal Information Processing Standards (.
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.
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.
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.
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.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
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.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
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.
Leading Change strategies and insights for effective change management pdf 1.pdf
Intrusion Detection Presentation
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10. Homeland Security Secretary Michael Chertoff speaks about computer security at the RSA Conference on information security in San Francisco, Tuesday, April 8, 2008. AP Photo/Paul Sakuma Zombie Computers Decried As Imminent National Threat