EE517 Akıllı Şebekelerde ve Elektrikli Araç Şarjında ​​Siber Güvenlik

6 ECTS - 3-0 Duration (T+A)- . Semester- 3 National Credit

Information

Unit INSTITUTE OF NATURAL AND APPLIED SCIENCES
ELECTRICAL-ELECTRONICS ENGINEERING (MASTER) (WITH THESIS) (ENGLISH)
Code EE517
Name Akıllı Şebekelerde ve Elektrikli Araç Şarjında ​​Siber Güvenlik
Term 2026-2027 Academic Year
Term Fall
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Belirsiz
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. MEHMET TÜMAY
Course Instructor
The current term course schedule has not been prepared yet.


Course Goal / Objective

This project aims to comprehensively examine cybersecurity risks, threat models, and protection methods in smart grids and electric vehicle charging infrastructures. Particular emphasis is placed on the security of OT/IT integration, which lies at the intersection of energy systems and information technologies.

Course Content

Smart grid architecture and components EV charging infrastructure and system architecture Cybersecurity fundamentals: CIA triad (Confidentiality, Integrity, Availability) Threat, vulnerability, and risk concepts Types of attacks in energy systems: DoS / DDoS Man-in-the-Middle (MitM) Replay attacks False Data Injection (FDI) OT vs IT security SCADA and ICS security Security in EV charging systems: OCPP security ISO 15118 and Plug & Charge security Cryptography: Symmetric / asymmetric encryption TLS/SSL PKI infrastructure Authentication and authorization (OAuth, certificates) Network security: Firewall, IDS/IPS Anomaly detection: Machine learning-based methods Secure architectural design: Zero Trust Defense-in-depth Standards: IEC 62351 ISO/IEC 27001 NIST Cybersecurity Framework

Course Precondition

Basic power systems Computer networks (preferably) Programming knowledge

Resources

NIST – Cybersecurity Framework Eric D. Knapp – Industrial Network Security

Notes

International Electrotechnical Commission – IEC 62351 standardı International Organization for Standardization – ISO/IEC 27001


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Analyzes cybersecurity risks in smart grid architecture.
LO02 Identifies attack surfaces in "EV charging infrastructure".
LO03 Compares OT (Operational Technology) and IT security approaches.
LO04 Applies cryptographic protocols to energy systems.
LO05 Evaluates vulnerabilities in charging protocols (OCPP, ISO 15118).
LO06 Develops anomaly detection and intrusion detection methods.
LO07 Designs secure system architectures.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Being able to specialize in at least one of the branches that form the foundations of electrical-electronic engineering by increasing the level of knowledge beyond the undergraduate level.
PLO02 Bilgi - Kuramsal, Olgusal To comprehend the integrity of all the subjects included in the field of specialization.
PLO03 Bilgi - Kuramsal, Olgusal Knowing and following the current scientific literature in the field of specialization
PLO04 Bilgi - Kuramsal, Olgusal To be able to comprehend the interdisciplinary interaction of the field with other related branches.
PLO05 Bilgi - Kuramsal, Olgusal Ability to do theoretical and experimental work
PLO06 Bilgi - Kuramsal, Olgusal To create a complete scientific text by compiling the information obtained from the research.
PLO07 Bilgi - Kuramsal, Olgusal To work on the thesis topic programmatically, following the logical integrity required by the subject within the framework determined by the advisor.
PLO08 Bilgi - Kuramsal, Olgusal To search for literature in scientific databases, particularly the ability to correctly and accurately scan databases and evaluate and categorize listed items.
PLO09 Bilgi - Kuramsal, Olgusal Knowledge of English at a level that can easily read and understand a scientific text written in English in the field of specialization
PLO10 Bilgi - Kuramsal, Olgusal Compile information on his/her expertise in a presentation format and present it understandably and effectively.
PLO11 Bilgi - Kuramsal, Olgusal Ability to write a computer program in a familiar programming language, generally for a specific purpose, specifically related to the field of expertise.
PLO12 Bilgi - Kuramsal, Olgusal Being able to guide and take the initiative in environments that require solving problems related to the field 5
PLO13 Yetkinlikler - İletişim ve Sosyal Yetkinlik Ability to communicate with people in an appropriate language
PLO14 Yetkinlikler - Öğrenme Yetkinliği To be able to produce projects, policies, and processes in the field of expertise and to evaluate these elements 5
PLO15 Yetkinlikler - Öğrenme Yetkinliği Ability to research new topics based on existing research experience


Week Plan

Week Topic Preparation Methods
1 Introduction to smart grids and architecture. Introduction to smart grids and architecture. Öğretim Yöntemleri:
Anlatım
2 EV charging infrastructure and data flow EV charging infrastructure and data flow Öğretim Yöntemleri:
Anlatım
3 Cybersecurity fundamentals (CIA triad) Cybersecurity fundamentals (CIA triad) Öğretim Yöntemleri:
Anlatım
4 Threat modeling and risk analysis Threat modeling and risk analysis Öğretim Yöntemleri:
Anlatım
5 Types of attacks on energy systems Types of attacks on energy systems Öğretim Yöntemleri:
Anlatım
6 SCADA and ICS security SCADA and ICS security Öğretim Yöntemleri:
Anlatım
7 OT vs IT security approaches OT vs IT security approaches Öğretim Yöntemleri:
Anlatım
8 Mid-Term Exam Ölçme Yöntemleri:
Ödev, Proje / Tasarım, Performans Değerlendirmesi
9 Fundamentals of Cryptography Fundamentals of Cryptography Öğretim Yöntemleri:
Anlatım
10 TLS, PKI, and certificate management. TLS, PKI, and certificate management. Öğretim Yöntemleri:
Anlatım
11 Safety in EV charging protocols (OCPP, ISO 15118) Safety in EV charging protocols (OCPP, ISO 15118) Öğretim Yöntemleri:
Anlatım
12 Network security and IDS/IPS systems Network security and IDS/IPS systems Öğretim Yöntemleri:
Anlatım
13 Anomaly detection (ML-based) Anomaly detection (ML-based) Öğretim Yöntemleri:
Anlatım
14 Secure system architecture design Secure system architecture design Öğretim Yöntemleri:
Anlatım
15 Project presentations Project presentations Öğretim Yöntemleri:
Anlatım
16 Term Exams Ölçme Yöntemleri:
Ödev, Proje / Tasarım, Performans Değerlendirmesi
17 Term Exams Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 5 16 80
Assesment Related Works
Homeworks, Projects, Others 6 3 18
Mid-term Exams (Written, Oral, etc.) 1 2 2
Final Exam 1 2 2
Total Workload (Hour) 144
Total Workload / 25 (h) 5,76
ECTS 6 ECTS

Update Time: 27.04.2026 09:12