Geri Dön

Malware in smart grid

Başlık çevirisi mevcut değil.

  1. Tez No: 520406
  2. Yazar: ALTAY ÖZEN
  3. Danışmanlar: Prof. Dr. NEIL ZHENQIANG GONG
  4. Tez Türü: Yüksek Lisans
  5. Konular: Bilgisayar Mühendisliği Bilimleri-Bilgisayar ve Kontrol, Computer Engineering and Computer Science and Control
  6. Anahtar Kelimeler: Belirtilmemiş.
  7. Yıl: 2017
  8. Dil: İngilizce
  9. Üniversite: Iowa State University
  10. Enstitü: Yurtdışı Enstitü
  11. Ana Bilim Dalı: Belirtilmemiş.
  12. Bilim Dalı: Belirtilmemiş.
  13. Sayfa Sayısı: 43

Özet

Özet yok.

Özet (Çeviri)

With the advancement in communication technology of Smart Grid, cyber-attacks are becoming the serious threat. Specifically, the vulnerabilities created due to the successful malware installation in smart grid is a very serious concern since it can be exploited to disable the system along with taking control or damaging the critical infrastructure permanently. The main idea behind this thesis is to explore the malware issue in the remedial action scheme (RAS), widely used for wide area protection, of smart grid. This thesis is concerned mainly on the cyber part of the Smart Grid. The main contribution of the work is divided into two major parts. In the first part, we modelled the stealthy coordinated cyber-attack with a malware at its core. The purpose of this attack is to damage the grid without getting detected by legitimate users. The attack uses a Trojan Horse malware to get a backdoor access to one of the RAS controllers. Once malware is installed, the attacker gets control of the RAS controller whenever he desires. This includes outside the LAN of the RAS controller as well. Specifically, the malware provides undetectable communication between the attacker and the device, and provides attacker the ability to execute commands in the affected device. Once the malware installation is successful, we perform the coordinate cyber-attacks by replacing the existing RAS controller script with a malicious one which plays with a generator to damage the system. This part is intended to demonstrate the dangers of the malware in Smart grid. In the second part, the defense scheme against the malware attack is proposed. The main idea is to detect and disable the device operating for RAS controller that is affected by some type of malware. This is done by introducing the one other device called Overseer. The Overseer should not have any access or control over any part of the actual grid (relays, generators, etc.). However, it should be able to communicate with all RAS controllers. RAS controllers are also upgraded so that they will take an extra measurement from a randomly selected generator which is reported to the Overseer with all the other measurements they normally take periodically. The main task of the overseer is to oversee the RAS controllers by taking updates from them. Through the usage of the proposed architecture, the overseer can detect a RAS controller which is acting maliciously. Once the malicious controller is detected, it can disable it using denial of service (DOS) attack on it until the situation is fixed. It is to be noted that the Smart Grid requires RAS controllers to perform corrective action during disturbances in the grid, they are just there to keep track of the grid during normal functioning of the power system. This means that grid does not need RAS controllers to function normally. Another possibility is when the Overseer is infected. Since Overseer has no access/control over the grid, the worst thing an attacker can do is to DOS a RAS controller which, again, will not affect the grid.

Benzer Tezler

  1. Siber güvenlik yönetim modelleri ve etkilerinin araştırılması

    Research of cyber security management models and effects

    AYCAN RAMAZAN GÜNDÜZHEV

    Yüksek Lisans

    Türkçe

    Türkçe

    2019

    Bilgisayar Mühendisliği Bilimleri-Bilgisayar ve Kontrolİstanbul Teknik Üniversitesi

    Bilişim Uygulamaları Ana Bilim Dalı

    PROF. DR. ERTUĞRUL KARAÇUHA

    DR. AHMET GÜVEN PADO

  2. Android zararlı yazılım tespit sistemi

    Android malware detection system

    TÜLAY AVAN

    Yüksek Lisans

    Türkçe

    Türkçe

    2020

    Bilgisayar Mühendisliği Bilimleri-Bilgisayar ve KontrolEskişehir Osmangazi Üniversitesi

    Bilgisayar Mühendisliği Ana Bilim Dalı

    DR. ÖĞR. ÜYESİ ESRA NERGİS YOLAÇAN

  3. Android sistemlerde derin öğrenme tabanlı kötü amaçlı yazılım tespit sistemi

    Deep learning based malware detection system on android systems

    ESRA ÇALIK BAYAZIT

    Doktora

    Türkçe

    Türkçe

    2023

    Bilgisayar Mühendisliği Bilimleri-Bilgisayar ve KontrolMarmara Üniversitesi

    Bilgisayar Mühendisliği Ana Bilim Dalı

    DOÇ. DR. BUKET DOĞAN

    PROF. DR. ÖZGÜR KORAY ŞAHİNGÖZ

  4. Nesnelerin internetinde botnetler: Mirai zararlı yazılımı üzerine bir çalışma

    IoT botnets: a case study on mirai malware

    MEVLÜT SERKAN TOK

    Yüksek Lisans

    Türkçe

    Türkçe

    2019

    Bilgisayar Mühendisliği Bilimleri-Bilgisayar ve KontrolTOBB Ekonomi ve Teknoloji Üniversitesi

    Bilgisayar Mühendisliği Ana Bilim Dalı

    PROF. DR. ALİ AYDIN SELÇUK

  5. Android yazılımlarda yapay zeka destekli zararlı yazılım tespiti ve performans analizi

    Ai-assisted malware detection and performance analysis in android software

    FATİH BULDUR

    Yüksek Lisans

    Türkçe

    Türkçe

    2023

    Bilgisayar Mühendisliği Bilimleri-Bilgisayar ve KontrolYalova Üniversitesi

    Disiplinlerarası Adli Bilişim Ana Bilim Dalı

    PROF. DR. MURAT GÖK