Hlavní stránka > Výsledky hledání: Rickwood, Michal
Hledej:
Tipy pro vyhledávaní :: Rozšířené hledání
Hledej ve sbírkách:
Seřadit podle: Zobrazit výsledky: Výstupní formát:
Národní úložiště šedé literatury Nalezeno 2 záznamů.  Hledání trvalo 0.00 vteřin. 
Spam detection methods
 Rickwood, Michal ; Horváth, Tomáš (oponent) ; Oujezský, Václav (vedoucí práce)
The main goal of this thesis is to build a spam detection algorithm that uses solely traffic flow logs in the form of Netflow messages. Internet service providers must detect spam in order for their entire subnets not to be marked as spamming stations. The algorithm was drafted based on an analysis of various datasets containing Netflow records. These datasets consist of valid e-mails, spam and common non e-mail related traffic. The algorithm uses domain name system blacklist verification as the first step of identifying a spamming station. All flagged communications are dropped immediately. Only if a station is not marked are filtering criteria subsequently applied. These criteria have been divided into acceptance and ordering criteria. An acceptance criterion has been drafted to select potentially significant stations. Five ordering criteria have been formulated to sort these selected IP addresses by the probability of them being spamming stations. Behind each criterion is a mathematical equation that returns a value between 0 and 1. The total sums of such returned values are close to 5 with spamming stations, while legitimate stations have noticeably lower values. The output of the developed algorithm is a list of potential spamming stations sorted probability of them being spamming stations.
Úplný záznam
Spam detection methods
 Rickwood, Michal ; Horváth, Tomáš (oponent) ; Oujezský, Václav (vedoucí práce)
The main goal of this thesis is to build a spam detection algorithm that uses solely traffic flow logs in the form of Netflow messages. Internet service providers must detect spam in order for their entire subnets not to be marked as spamming stations. The algorithm was drafted based on an analysis of various datasets containing Netflow records. These datasets consist of valid e-mails, spam and common non e-mail related traffic. The algorithm uses domain name system blacklist verification as the first step of identifying a spamming station. All flagged communications are dropped immediately. Only if a station is not marked are filtering criteria subsequently applied. These criteria have been divided into acceptance and ordering criteria. An acceptance criterion has been drafted to select potentially significant stations. Five ordering criteria have been formulated to sort these selected IP addresses by the probability of them being spamming stations. Behind each criterion is a mathematical equation that returns a value between 0 and 1. The total sums of such returned values are close to 5 with spamming stations, while legitimate stations have noticeably lower values. The output of the developed algorithm is a list of potential spamming stations sorted probability of them being spamming stations.
Úplný záznam

Viz též: podobná jména autorů
1 Rickwood, M.
Chcete být upozorněni, pokud se objeví nové záznamy odpovídající tomuto dotazu?
Přihlásit se k odběru RSS.
Digitální repozitář :: Hledej :: Nový záznam :: Personalizace :: Nápověda
Powered by Invenio v1.1.2
Spravuje admin.invenio@techlib.cz
Tato stránka je dostupná také v následujících jazycích:
Česky  English