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Software Exploitation (5 cr)

Code: TTC6520-3002

General information


Enrollment

01.08.2023 - 24.08.2023

Timing

30.10.2023 - 19.12.2023

Number of ECTS credits allocated

5 op

Virtual portion

4 op

Mode of delivery

20 % Face-to-face, 80 % Online learning

Unit

School of Technology

Campus

Lutakko Campus

Teaching languages

  • English

Seats

0 - 35

Degree programmes

  • Bachelor's Degree Programme in Information and Communications Technology
  • Bachelor's Degree Programme in Information and Communications Technology

Teachers

  • Joonatan Ovaska

Groups

  • TTV21S3
    Tieto- ja viestintätekniikka (AMK)
  • TTV21S5
    Tieto- ja viestintätekniikka (AMK)
  • TIC21S1
    Bachelor's Degree Programme in Information and Communications Technology
  • TTV21S2
    Tieto- ja viestintätekniikka (AMK)
  • TTV21S1
    Tieto- ja viestintätekniikka (AMK)
  • 21.11.2023 13:15 - 15:00, Workshop
  • 24.11.2023 11:30 - 14:00, Software Exploitation TTC6520-3002
  • 28.11.2023 13:15 - 15:00, Workshop
  • 01.12.2023 11:30 - 14:00, Software Exploitation TTC6520-3002
  • 05.12.2023 13:15 - 15:00, Workshop
  • 08.12.2023 11:30 - 14:00, Software Exploitation TTC6520-3002
  • 12.12.2023 13:15 - 15:00, Workshop
  • 15.12.2023 11:30 - 14:00, Software Exploitation TTC6520-3002

Objective

The student knows the most common application vulnerabilities and how they affect new and existing applications. The student is also able to find, exploit and fix common application vulnerabilities. The student is also familiar with safety mechanisms built into modern operating systems to make exploitation more difficult.

Competences
EUR-ACE: Knowledge and understanding 
EUR-ACE: Engineering practice 

Content

The course will cover most common application vulnerabilities, what causes them, how they are exploited and how to fix or mitigate them. Basic knowledge of C or C++ and data structures and algorithms is required. Knowledge of one scripting language (e.g. Python) is recommended.

Location and time

- First contact on campus, rest of them online
- Guidance sessions on campus

Oppimateriaali ja suositeltava kirjallisuus

Materials in the e-learning environment and a book: Hacking : the art of exploitation 2nd edition

Teaching methods

- lectures
- independent study
- distance learning
- webinars
- exercises
- learning tasks
- book

Exam schedules

No exam, assessment is based on assignments.

Vaihtoehtoiset suoritustavat

The admission procedures are described in the degree rule and the study guide. The teacher of the course will give you more information on possible specific course practices.

Student workload

One credit (1 Cr) corresponds to an average of 27 hours of work.

- lectures 15 h
- demos and walkthroughs 15 h
- assignment 45 h
- independent study 55 h
Total 135 h

Further information

Points from lab reports. No exam.

Evaluation scale

0-5

Arviointikriteerit, tyydyttävä (1-2)

Satisfactory (2): The student understands the most basic topics discussed during the course, however, struggles to utilize this knowledge.
Sufficient (1): The student is familiar with the basic topics discussed during the course. He is able to solve problems related to the topics only in the simplest of cases.
Fail 0: The student does not meet the minimum criteria set for the course.

Arviointikriteerit, hyvä (3-4)

Very good (4): The student understands the most important topics discussed during the course and is able to utilize this knowledge in the most common cases.
Good (3): The student understands the most important topics discussed during the course and is able to utilize this knowledge in the most basic cases.

Assessment criteria, excellent (5)

Excellent (5): The student understands all topics discussed during the course and is able to use them in an innovative manner even in challenging cases.

Qualifications

Basics in programming, Data structures and algorithms