Network Intrusion Detection Using Random Forests

Feb 14, 2013

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PST2005. Jiong Zhang and Mohammad Zulkernine. 2. Outline. MotivationIntrusion detection systemData mining meets intrusion detectionProposed architectureChallenges and solutionsExperimental resultsConclusion and future work. PST2005. Jiong Zhang and Mohammad Zulkernine. 3. Motivation. Intrusion

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Network Intrusion Detection Using Random Forests

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Intrusion Detection using Honeypots

Intrusion Detection using Honeypots. Patrick Brannan Honeyd with virtual machines. What is a honeypot?. A closely monitored network decoy serving several purposes Distract adversaries from vulnerable machines Provide early warning (new attack &exploits)

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Random Forests

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Network Intrusion Detection and Mitigation

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Network Intrusion Detection Systems

Network Intrusion Detection Systems. Slides by: MM Clements A Adekunle The University of Greenwich. Intrusion Detection. Detection and protection from attacks against networks Three types of network attacks Reconnaissance Access Denial of service. Intrusion detection system (IDS).

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Network-Based Intrusion Detection

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Reduce Instrumentation Predictors Using Random Forests

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Network Intrusion Detection System (NIDS)

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Network Security and Intrusion Detection

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Intrusion Detection

Intrusion Detection. Cyber Security Spring 2005. Reading material. Chapter 25 from Computer Security, Matt Bishop Cisco Security Agent http://cisco.com/en/US/products/sw/secursw/ps5057/products_white_paper0900aecd8020f448.shtml Dark address space

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Network Intrusion Detection Systems

Network Intrusion Detection Systems. Ali Shayan October 2008. Introduction. Intrusion – an attempt to compromise or misuse a computer system or network.

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Network Intrusion Detection Using Random Forests

Network Intrusion Detection Using Random Forests. Jiong Zhang Mohammad Zulkernine School of Computing Queen's University Kingston, Ontario, Canada. Outline. Motivation Intrusion detection system Data mining meets intrusion detection Proposed architecture Challenges and solutions

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Network Intrusion Detection System. NAIST. Omar ISMAIL. Internet Engineering Lab Graduate School of Information Science Nara Institute of Science and Technology Nara, Japan. 1. 20 th June 2003. Outline. NAIST. What is NIDS ?. Why it is important?. Snort. Deployment at AI3.

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Network Intrusion Detection Systems

Network Intrusion Detection Systems. MM Clements A Adekunle. Lecture Overview. Taxonomy of intrusion detection system Promiscuous & Inline Mode Protection: IDS, IPS IDS and IPS Deployment Considerations & example Cisco IDS family Snort IDS/IPS Vulnerabilities How to protect IDS?

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Intrusion Detection

Intrusion Detection. CS461/ECE422 Spring 2012. Reading Material. Chapter 8 of the text. Outline. What are intrusions? Who are intruders Host-based Intrusion Detection Network-based Intrusion Detection. What is an Intrusion?. Who are the Intruders. Hackers Possibly benign

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Intrusion Detection

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Network Intrusion Detection Systems

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RANDOM FORESTS

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Network Intrusion Detection Using Random Forests

Network Intrusion Detection Using Random Forests

Presentation Transcript

Intrusion Detection using Honeypots

Random Forests

Network Intrusion Detection and Mitigation

Kernel Mode Network Intrusion Detection

Network Intrusion Detection Systems

Network Intrusion Detection

Network-Based Intrusion Detection

Reduce Instrumentation Predictors Using Random Forests

Intrusion Detection &amp; Network Forensics

Network Intrusion Detection System (NIDS)

Network Security and Intrusion Detection

Intrusion Detection

Network Intrusion Detection Systems

Network Intrusion Detection Using Random Forests

Layered Approach using Conditional Random Fields For Intrusion Detection

Network Intrusion Detection System

Gnort : High Performance Network Intrusion Detection Using Graphics Processors

Network Intrusion Detection Systems

Intrusion Detection

Intrusion Detection

Network Intrusion Detection Systems

RANDOM FORESTS

Intrusion Detection & Network Forensics