Anomaly Detection Challenges
Anomaly Detection Challenges
| Praktika | 0 SWS / 10 ECTS |
| Veranstalter: | Bojan Kolosnjaji, Mohammad Reza Norouzian, and George Webster |
| Zeit und Ort: | Di, 16:30 – 18:00 Uhr, 01.06.011. (Praktikum) |
| Beginn: | 2016-10-18 |
News
- Challenge 2 - maximum number of submissions increased to 10. Have fun overfitting :)
- Another change in schedule!
- Challenge 2 started!
- Small change in schedule: we flipped the content of 13.12. and 20.12. in order to leave more time for Challenge 4.
- Challenge 1 started!
- Schedule is published.
- Selected students are registered in TUMOnline, except for the exchange students, who will be registered in October.
- Kick-Off meeting: 29.06.2016. at 4pm, Room 01.06.011. If you missed the kick-off meeting, you can look at the slides.
Description
In information security domain, anomaly detection gains its own importance from researchers day by day. It is discovered that occasionally emerged frauds or intrusions in modern information systems have incurred significant loss when the suspicious activities were not detected or inefficiently processed. Therefore, numerous efforts have been devoted to devise effective detection methods, and then proceed to automation of anomaly identification in real time. In this practical course, we challenge students with a set of well designated learning tasks, which require the participants to understand the task scenario entirely and to design their own algorithms to identify corresponding anomalies. A competition on discovering the anomalies will be conducted based on the performance of their algorithms.
Requirement
- Basic knowlege of Machine learning and data mining
- Good programming skills
- Basic knowlege in Python
- Registered Master or Diplom students (or very ambitious Bachelor students) in Informatics or a similar area
Instruction
Schedule
Date |
Topic |
Assignments |
18.10.2016. |
Anomaly Detection Basics 1 |
Homework 1, Challenge 1 |
25.10.2016. |
Anomaly Detection Basics 2 |
Homework 2, Challenge 2 |
08.11.2016. |
Presentation day 1 |
None |
15.11.2016. |
Large-Scale Malware Analysis - extracting the Big Picture (rescheduled) |
|
22.11.2016. |
Presentation day 2 |
None |
29.11.2016. |
Network Anomaly Detection - find a needle in a haystack |
Homework 3 (deadline 12.12.), Challenge 3 |
06.12.2016. |
Large-Scale Malware Analysis - extracting the Big Picture |
Homework 4 (deadline 19.12.), Challenge 4 |
13.12.2016. |
Presentation day 3 |
None |
20.12.2016. |
Spark Tutorial |
Homework 5 (deadline 16.01.) |
10.01.2016. |
Semi-Supervised Learning, Active Learning, Ensemble Learning |
Homework 6-7 (deadline 23.01.), Challenge 5 |
17.01.2016. |
Presentation day 4 |
None |
24.01.2016. |
Presentation day 5 |
None |
Contact
Bojan Kolosnjaji
Email: kolosnjaji@sec.in.tum.de
Room: 01.08.061
Mohammad Reza Norouzian
Email: norouzian@sec.in.tum.de
Room: 01.08.059
George Webster
Email: webstergd@sec.in.tum.de