Metode detekcije zlonamjernog softvera pametnih telefona

undergraduate thesis

• Title (english): Smartphone Malware Detection Methods
• Author: Andrej Rohlik
• Mentor: Siniša Husnjak (mentor)
• Committee member: Dragan Peraković (predsjednik povjerenstva)
• Committee member: Ivan Cvitić (član povjerenstva)
• Committee member: Ivan Grgurević (član povjerenstva)
• Granter: University of Zagreb; Faculty of Transport and Traffic Sciences; (Division of Transport); (Department of Information and Communications Traffic); Zagreb
• Defense date and country: 2020-09-15, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Traffic and Transport Technology; Postal and Telecommunications Traffic

Abstract

Zlonamjerni ili zloćudni softver programski je specijalizirano napravljen kod koji su razvili napadači na sve vrste uređaja, a dizajniran je tako da uzrokuje veliku štetu podacima i sustavima ili da dobije neovlašteni pristup informacijsko-komunikacijskoj mreži. Rad se bavi tematikom zaštite od zlonamjernog softvera i njegovom detekcijom. Opisane su najčešće vrste zlonamjernih softvera i njihove karakteristike kako bi se omogućio uvid u aktivnosti pojedinog zlonamjernog programa koje se vrše na pametnom telefonu. U radu su opisani i neki od poznatijih antivirusnih programa pomoću kojih se obavlja detekcija zlonamjernih softvera. Kao odgovor na razne zlonamjerne softvere razvijene su raznolike tehnike i metode detekcije pomoću kojih se osigurava siguran rad uređaja. To uključuje statičke i dinamičke analize zlonamjernih programa kao i razne metode detekcije koje se temelje na potpisu, anomalijama, specifikacijama ili metodu detekcije u oblaku. Reverzni inženjering je također jedan od postupaka analize zlonamjernog softvera i pomaže u detektiranju i otklanjanju zlonamjernog programa.

Abstract (english)

Malicious software is a specialized software program developed by attackers on all types of devices and is designed to cause great damage to data and systems or to gain unauthorized access to the information and communication network. The paper deals with the topic of protection against malware and its detection. The most common types of malware and their characteristics are described in order to provide insight into the activities of a particular malware that are performed on a smartphone. The paper also describes some of the better known antivirus programs that are used to detect malware. In response to various malware, a variety of detection techniques and methods have been developed to ensure the safe operation of the device. That includes static and dynamic malware analysis as well as various detection methods that are signature-based, anomaly-based, specification-based or cloud-based. Reverse engineering is also one of the procedures of malware analysis and helps in detecting and eliminating malware.

• Keywords: zlonamjerni softver; pametni telefon; detekcija; reverzni inženjering
• Keywords (english): malware; smartphone; detection; reverse engineering
• Language: croatian
• URN:NBN: urn:nbn:hr:119:608360
• Study programme: Title: Traffic and Transport; specializations in: Road Traffic and Transport, Railway Traffic and Transport, Water Traffic and Transport, Air Traffic and Transport, Postal Traffic, Information and Communication Traffic, Urban Traffic and Transport; Course: Road Traffic and Transport; Study programme type: university; Study level: undergraduate; Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka prometa (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka prometa)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2020-10-13 13:55:30