'Botnet detection' presentation slideshows

Botnets

by Mehedy Masud. Botnets. Botnets. Introduction History How to they spread? What do they do? Why care about them? Detection and Prevention. Bot. The term 'bot' comes from 'robot'. In computing paradigm, 'bot' usually refers to an automated process. There are good bots and bad bots.

991 views • 74 slides

Botnets

by Mehedy Masud. Botnets. Botnets. Introduction History How to they spread? What do they do? Why care about them? Detection and Prevention. Bot. The term 'bot' comes from 'robot'. In computing paradigm, 'bot' usually refers to an automated process. There are good bots and bad bots.

758 views • 74 slides

Guofei Gu 1,2 , Roberto Perdisci 3 , Junjie Zhang 1 , and Wenke Lee 1

BotMiner : Clustering Analysis of Network Traffic for Protocol- and Structure-Independent Botnet Detection. Guofei Gu 1,2 , Roberto Perdisci 3 , Junjie Zhang 1 , and Wenke Lee 1 1 Georgia Tech 3 Damballa, Inc. 2 Texas A&M University. Roadmap. Roadmap. Introduction

551 views • 35 slides

Botnet and Spam Detection in High-Speed Networks

Botnet and Spam Detection in High-Speed Networks. Wenke Lee and Nick Feamster Georgia Tech. Overview. Problem: Botnet and Spam Detection in high-speed networks Common theme: Examine network-level properties and build classifier Two systems: BotMiner and SNARE Overview

466 views • 29 slides

Botnet Dection system

420 views • 28 slides

High-Performance Network Anomaly/Intrusion Detection & Mitigation System (HPNAIDM)

High-Performance Network Anomaly/Intrusion Detection & Mitigation System (HPNAIDM). Yan Chen Department of Electrical Engineering and Computer Science Northwestern University Lab for Internet & Security Technology (LIST) http://list.cs.northwestern.edu. Current Intrusion Detection Systems.

394 views • 26 slides

High-Performance Network Anomaly/Intrusion Detection & Mitigation System (HPNAIDM)

High-Performance Network Anomaly/Intrusion Detection & Mitigation System (HPNAIDM). Yan Chen Department of Electrical Engineering and Computer Science Northwestern University Lab for Internet & Security Technology (LIST) http://list.cs.northwestern.edu. Current Intrusion Detection Systems.

359 views • 26 slides

Botnet Detection & Countermeasures

270 views • 26 slides

Reporter: ??? Advisor: Chin-Laung Lei 2010/3/15

Active Botnet Probing to Identify Obscure Command and Control Channels G Gu, V Yegneswaran, P Porras, J Stoll, and W Lee - on Annual Computer Security Applications Conference 2009 (ACSAC 2009 ). Reporter: ??? Advisor: Chin-Laung Lei 2010/3/15. 1. Outline. Introduction

407 views • 25 slides

BotNet Detection Techniques By Shreyas Sali

248 views • 24 slides

Presented by D Callahan

336 views • 22 slides

Presented by D Callahan

322 views • 22 slides

Presented by D Callahan

229 views • 22 slides

Botnet Detection by Monitoring Group Activities in DNS Traffic

Botnet Detection by Monitoring Group Activities in DNS Traffic. Speaker:Chiang Hong-Ren. Outline. Abstract Introduction Related Work Bontet DNS-Based Botnet Detection Mechanism Evaluation Discussion Conclusion. Abstract.

344 views • 18 slides

Botnet Detection by Monitoring Group Activities in DNS Traffic

Botnet Detection by Monitoring Group Activities in DNS Traffic. Speaker: Jun-Yi Zheng 2009/11/23. Reference.

508 views • 17 slides

Botnet Detection Market Research Report 2018 New Study, Overview, Rising Growth, and Forecast

88 views • 8 slides

Botnet Detection Market Key Highlights and Future Opportunities by 2023

87 views • 8 slides

The major factors driving the botnet detection market include the need for security against the bad bot traffic, rising number of smartphones users, and increasing adoption of APIs.

34 views • 3 slides

Automatic Discovery of Botnet Communities on Large-Scale Communication Network

input network flows. network application communities. Step 1 . Payload Signatures based Application Classifier. P2P. Step 3. Bots IRC Flows. IRC. unknown flows. Step 2 . Cross-Association based Application Classifier. Human IRC Flows. WEB.

89 views • 1 slides