prikaz prve stranice dokumenta Metode detekcije zlonamjernog softvera pametnih telefona
  Download
PDF 1.62 MB
undergraduate thesis
Metode detekcije zlonamjernog softvera pametnih telefona
Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences, 2020. urn:nbn:hr:119:608360
Rohlik, Andrej
University of Zagreb
Faculty of Transport and Traffic Sciences
Division of Transport
Department of Information and Communications Traffic

Cite this document

Rohlik, A. (2020). Metode detekcije zlonamjernog softvera pametnih telefona (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences. Retrieved from https://urn.nsk.hr/urn:nbn:hr:119:608360

Rohlik, Andrej. "Metode detekcije zlonamjernog softvera pametnih telefona." Undergraduate thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, 2020. https://urn.nsk.hr/urn:nbn:hr:119:608360

Rohlik, Andrej. "Metode detekcije zlonamjernog softvera pametnih telefona." Undergraduate thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, 2020. https://urn.nsk.hr/urn:nbn:hr:119:608360

Rohlik, A. (2020). 'Metode detekcije zlonamjernog softvera pametnih telefona', Undergraduate thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, accessed 25 March 2025, https://urn.nsk.hr/urn:nbn:hr:119:608360

Rohlik A. Metode detekcije zlonamjernog softvera pametnih telefona [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences; 2020 [cited 2025 March 25] Available at: https://urn.nsk.hr/urn:nbn:hr:119:608360

A. Rohlik, "Metode detekcije zlonamjernog softvera pametnih telefona", Undergraduate thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:119:608360

Please login to the repository to save this object to your list.
Metadata
TitleMetode detekcije zlonamjernog softvera pametnih telefona
Title (english)Smartphone Malware Detection Methods
AuthorAndrej Rohlik
MentorSiniša Husnjak (mentor)
Committee memberDragan Peraković (predsjednik povjerenstva)
Committee memberIvan Cvitić (član povjerenstva)
Committee memberIvan Grgurević (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Transport and Traffic Sciences
(Division of Transport)
(Department of Information and Communications Traffic)
Zagreb
Defense date and country2020-09-15, 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
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:119:608360
Study programmeTitle: 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 resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
RepositoryFaculty of Transport and Traffic Sciences
Created on2020-10-13 13:55:30

(©) Nacionalna i sveučilišna knjižnica u Zagrebu 2015. Sva prava pridržana. | Hrvatske bratske zajednice 4 p.p. 550, 10000 Zagreb, Hrvatska Tel. ++ 385 1 616-4040
OIB: 84838770814 | IBAN: HR66 2340 0091 1000 1008 1, Porezni broj (PDV identifikacijski broj) - VAT Number: HR84838770814
Prijava u repozitorij