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Intrusion Detection Systems

Intrusion Detection Systems  

Seminare 2sws / 5ects (Kursbeschreibung)
Veranstalter: Mohammad Reza Norouzian
Zeit und Ort:

Tuesday, 14:00-16:00 01.08.033, Besprechungsraum (5608.01.033)

Beginn: 2019-04-23

The lecture is given in english
The slides are available in english

News

  • Kick-off meeting slide can be found here . If you could not attend the meeting, no problem. You can also apply by sending your short CV to Mohammad Norouzian (norouzian@sec.in.tum.de) and choosing the course on the matching system.
  • Bachelor students can take the seminar as well.

Kick-Off meeting

kick-off meeting: Tuesday, January 29, 2019 at 17:00 in room 01.08.033.

Registration

Participants are registered by the instructor based on the results of matching.

Contents

An intrusion detection system (IDS) is a device or software application that monitors a network or systems for malicious activity. The most common classification is either in network (NIDS) or host-based (HIDS) intrusion detection systems, in reference to what is monitored by the IDS. Network based intrusion detection attempts to identify unauthorized, illicit, and anomalous behavior based solely on network traffic. A network IDS, using either a network tap, span port, or hub collects packets that traverse a given network. Using the captured data, the IDS system processes and flags any suspicious traffic. One approach to classify attacks is using anomaly detection method based on machine learning algorithms. Students involve reading and writing papers regarding the basis and state-of-the-art of IDS specially in anomaly detection domain.

Prerequisites

Basics of IT security

Objective

The goal for students is to be acquainted with methods, algorithms and technologies in intrusion detection systems, how to identify malicious activities and how to address the challenges in this domain.

Schedule for Presentations

 

Title Speaker Date

Kick-off meeting

Mohammad Norouzian

29.01.19

 

 

Report Guidelines

How to write a seminar report (link)

Students are strongly encouraged to use Springer LNCS manuscript submission guidelines

Avoid making common report writing mistakes: Download the general guidelines