Naslov
Spam Detection Based on Search Engine Creditworthiness

Autori
Cafuta, Davor ; Dodig, Ivica ; Sruk, Vlado

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceeedings of International Conference on Smart Systems and Technologies 2017 (SST 2017) / Žagar, Drago ; Martinović, Goran ; Rimac Drlje, Snježana ; Miličević, Kruno - Osijek : Fakultet elektrotehnike, računarstva i informacijskih tehnologija Sveučilišta Josipa Jurja Strossmayera u Osijeku, 2017, 135-141

ISBN
978-1-5386-3776-0

Skup
International Conference on Smart Systems and Technologies 2017 (SST 2017)

Mjesto i datum
Osijek, Hrvatska, 18.10.2017. - 20.10.2017

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Malicious domain ; SPAM ; Botnet Detection ; Embedded systems

Sažetak
From the security point, low-cost domain names and simplified registering procedures present a potential threat. Malicious attackers could register a domain to use in a single attack campaign and then discard it. At some point, the malicious domain will be red-flagged by the reputable service, but by that time the attacker has moved onto the next one. This creates the difficult and inefficient task to detect the malicious domain. In this paper, the search engine creditworthiness algorithm is used to detect malicious domains. This algorithm is created for bot detection in a local network. In an experimental study algorithm is tested as a detection system for malicious domain found in spam. With the analyzation of the URLs in the e- mail body known fraud or hoax spam can be blocked at the entrance of the mail server or even the local network.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA