Course

Security and Vulnerability in Networks (DAT510)

Facts

Course code DAT510

Credits (ECTS) 10

Semester tuition start Autumn

Language of instruction English

Number of semesters 1

Exam semester Autumn

Time table View course schedule

Literature The syllabus can be found in Leganto

Introduction

Basic problems and challenges, cryptography, cryptographic protocols, secure software and malicious code, access control, network security, security assessment and management, regulations and laws. Guest lectures give relevance to best practice.

Content

Basic problems and challenges, cryptography, cryptographic protocols, secure software and malicious code, access control, network security, security assessment and management, regulations and laws. Guest lectures give relevance to best practice.

Learning outcome

Knowledge:

  • know cryptography
  • know cryptographic protocols
  • know secure software and malicious codes
  • know security related laws, regulations and standards.

Skills:

  • Master access control in a distributed network
  • Master security mechanisms in network
  • Master security analysis and management in distributed systems

General qualifications:

  • Design and certify security and vulnerability analysis of network system.

Required prerequisite knowledge

None

Recommended prerequisites

Discrete mathematics

Exam

Written exam

Weight 1/1

Duration 4 Hours

Marks Letter grades

Aid None permitted

Exam system WISEflow

Coursework requirements

Mandatory hand inns
There are three compulsory assignments that must be approved before exam.

Method of work

4 hours lectures and 2 hours guided lab.

Using AI to support learning and study activities

AI tools may be used in DAT510 as a learning aid, but must never substitute for the understanding of network security and cryptography the course builds and assessing protection mechanisms yourself — that is precisely what you must master yourself. Productive uses include asking AI to explain a concept (e.g., how a cryptographic protocol works, what access control in a distributed network involves, or how malware is detected), to debug or test work you have made yourself, or to generate practice problems for self-testing before the exam. You remain responsible for critically evaluating whatever the AI produces, and any use of AI in assessed work must follow the course's guidelines.

Overlapping courses

Course Reduction (SP)
Security and Vulnerability in Networks (DAT510_1) , Computer and Information Security (MID100_1) 10

Open for

Admission to Single Courses at Master Level at the Faculty of Science and Technology
Computer Science - Master Industrial Economics - Master Industrial Economics - Master
Exchange programme at The Faculty of Science and Technology

Admission requirements

Must meet the admission requirements of one of the study programmes the course is open for.

Course assessment

The faculty decides whether early dialogue will be held in all courses or in selected groups of courses. The aim is to collect student feedback for improvements during the semester. In addition, a digital course evaluation must be conducted at least every three years to gather students’ experiences.
The course description is retrieved from FS (Felles studentsystem). Version 1