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Faculty of Technical Sciences

Subject: Safety and Security of Information Systems (17.IZOO23)

General information:
 
Category Theoretical-methodological
Scientific or art field
  • Inženjerstvo informacionih sistema
  • Mehatronika, robotika, automatizacija i integrisani sistemi
  • Information-Communication Systems
ECTS 5

The aim of this course is to introduce students to selected approaches and methods in the filed of safety and security of information systems, with a special focus on applying natural language processing methods in automatic security analyses.

On completion of this course, students are expected to be able to understand, explain, apply and critically evaluate the introduced approaches and methods in particular contexts of use.

Exploits and prevention of stack overflow attacks; automatic cryptanalysis of substitution ciphers based on statistical language models (n-grams), genetic algorithms and a gradient ascent method; evolutionary approach to automatic analysis of software security flaws based on fuzzy testing, genetic algorithms, context free grammars and Markov chains; automatic classification of unstructured texts based on naive Bayesian classification and logistic regression (i.e., maximum entropy modeling), automatic authorship attribution and malicious code detection based on n-grams.

Lectures introduce the content of this course and present examples and analysis of selected problem scenarios in the field of safety and security of information systems. These are supported by practical exercises in laboratory sessions. In the exercises, students will be encouraged to work individually and in groups to develop systems implementing the methods introduced in lectures.

Authors Title Year Publisher Language
Noriswadi Ismail, Edwin Lee Cieh Beyond Data Protection: Strategies Case Studies and Practical Guidance 2012 Springer English
ISO/IEC Information security management systems Requirements 2013 ISO/IEC English
Gutwirth, S., Poullet, Y., De Hert, P. Computers, Privacy anad Data Protection: an Element of Choice 2011 Springer English
Paul Lambert A Users Guide to Data Protection 2013 Bloomsbury Professional English
Course activity Pre-examination Obligations Number of points
Computer exercise attendance Yes Yes 5.00
Written part of the exam - tasks and theory No Yes 40.00
Oral part of the exam No Yes 10.00
Term paper Yes Yes 20.00
Lecture attendance Yes Yes 5.00
Test Yes Yes 10.00
Test Yes Yes 10.00
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Asst. Prof. Marko Arsenović

Assistant Professor

Lectures

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Prof. Dubravko Ćulibrk

Full Professor

Lectures

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Assistant - Master Andrej Katin

Assistant - Master

Computational classes

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Assistant - Master Anđela Todorić

Assistant - Master

Computational classes

Faculty of Technical Sciences

© 2024. Faculty of Technical Sciences.

Contact:

Address: Trg Dositeja Obradovića 6, 21102 Novi Sad

Phone:  (+381) 21 450 810
(+381) 21 6350 413

Fax : (+381) 21 458 133
Emejl: ftndean@uns.ac.rs

© 2024. Faculty of Technical Sciences.