P2P Networks Blocking

Tato bakalářská práce se zabývá filtrováním P2P sítí určených k výměně dat. Popisuje vrstvy ISO/OSI modelu, na kterých je možné tyto sítě blokovat. Popisuje nástroje detekující P2P sítě na základě datové části paketu určeného pro operační systémy Linux. Testování dokazuje úspěšnost blokování L7-filtrem a IPP2P filtrem.This bachelor's thesis deals with filtering P2P networks intend for changing data. My work describes layers of ISO/OSI model, which is able to blocking these networks. For Linux describes tools of detecting P2P networks with the aid of data part of packet. Testing proves success of blocking by L7- filter and IPP2P filter.

Identifying P2P Users Using Traffic Analysis

Bakalářská práce se zaobírá možnostmi detekce uživatelů P2P sítí jako BitTorrent, DC++, Gnutella a jiné. Byla vytvořena aplikace, schopná detekovat tyto uživatele vícerými způsoby. Metoda kombinuje analýzu datové části paketu a analýzu síťového provozu a spojení, díky které je možná přesnější detekce. Aplikace je napsána v programovacím jazyku C++, a vychází z volně dostupného nástroje L7-filter.Bachelor's thesis deals with methods of detection of P2P users like BitTorrent, DC++, Gnutella and others. An application was created, which is able to detect these users using multiple ways. This method combines analysis of packet payload and analysis of network traffic and flows, so more exact detection is possible. Application is written in C++ programming language, and is built on open-source tool L7-filter.

Towards peer-to-peer traffic analysis using flows

One of the main problems with today's Internet traffic analysis is caused by the large number of network-based applications whose types and traffic patterns are more complicated than in the past. Today, peer-to-peer (P2P), streaming media, and game traffic are continuously increasing. The difficulty the traffic analysis is that this newly emerging traffic is not as simple as past well-known port based traffic. This paper focuses on analyzing P2P traffic, which is the most complicated traffic among newly emerging Internet traffic. We describe the properties of P2P traffic and explain why P2P traffic analysis is more difficult than other types of Internet traffic analysis. Next, we propose a new algorithm suitable for P2P traffic analysis. The main idea of our algorithm is that flow grouping based on their relationships will increase the accuracy of P2P traffic analysis.X117sciescopu