5710 - Network Security
Course information
- Title
- Network Security
- Course number
- 5710.24
- Academic year
- 2024-2025
- ECTS
- 10.00
- Level
- Master
- Faculties
- Science and Tecnology
- Educations
- MSc in Data Science
- Prerequisites
- There are no prerequisites for this course
- Language of instruction
- The course is taught in English
- Registration
- Students on the third semester of MSc in Data Science register themselves according to the guide on moodle.
- Beginning date
- Tuesday, September 17, 2024
- End date
- Monday, December 23, 2024
Academic content
- Purpose
- The aim of the course is for students to develop a deep understanding of advanced topics in security and digital forensics, enabling graduates to professionally design, analyse, implement, and report on network security strategies.
- Learning outcomes
- By the end of the course, students will have achieved the following learning outcomes: • Learning Outcome 1: Develop advanced knowledge of, and be able to critically evaluate, key network security principles and methods. • Learning Outcome 2: Develop analytical skills related to the academic principles and the practical skills required to implement and support complex network infrastructures with regards to security. • Learning Outcome 3: Research, design, implement, evaluate, and critically analyse a system based on a given set of network security requirements.
- Content
- • Introduction: ◦ Networking concepts ◦ Network security concepts ◦ Network threats and attacks ◦ Network defence • Firewalls: ◦ Types ◦ Technologies: ▪ Static packet filtering ▪ Stateful packet filtering ▪ Multilayer firewall ◦ Architectures ◦ Policies ◦ Implementation and deployment • Intrusion Detection and Prevention Systems (IDPS): ◦ Types ◦ Alert monitoring and sensor tuning ◦ Behavioural analysis, in-line/out-of-line • Access Control and Authentication ◦ Trust and identity ◦ Attacks ◦ Access control models ◦ Network device access control ◦ AAA, Layer 2 ◦ Device hardening • Remote Access and VPNs: ◦ Cryptography ◦ Types: L2, L3 and L4/5 ◦ Technologies ◦ IPSec and SSL • Wireless Security: ◦ Wireless overview ◦ Attacks ◦ Encryption ◦ Authentication • CCNA Certification: ◦ CIA ◦ Attacks on CIA ◦ Data classification ◦ Law and ethics ◦ Network policies ◦ Risk management and secure network design ◦ Security in the SDLC ◦ Cisco self-defending network ◦ Secure administration • CCNA Certification - Secure Infrastructure and Extending Security: ◦ Cisco Layer 2 security ◦ Cisco IOS firewalls, Cisco IOS IPS ◦ Cisco VPN and cryptographic solutions ◦ Digital signatures and PKI
- Learning and teaching approaches
- Lectures, exercises, practical classes, workshops, self-study, and project work
Assessment
- Assessment method
- Assessment is based on two centrally scheduled exams and a practical project. Each exam is two hours long and scheduled for weeks 7 and 13 of the course, respectively. The final project is due in week 15. The weighting distribution for the final grade is as follows: • 25% for the first exam (assessing Learning Outcomes 1 and 2) • 25% for the second exam (assessing Learning Outcomes 1 and 2) • 50% for the practical project (assessing Learning Outcomes 2 and 3) Retakes and tests due to illness are conducted under the same conditions as the examination.
- Examination (internal/external)
- External
- Grading scale
- 7-scale
- Exam date/dates
- The exam is based on two centrally scheduled exams (scheduled for course week 7 and 13) and a practical project (scheduled for course week 15)
- Deadline for withdrawal from exam
- Tuesday, September 17, 2024
Academic responsibility and teachers
- Academic responsibility
- Hannes Gislason
- Teachers
- Hannes Gislason