Publication Date:  August 2018

Publication Name:  Proceedings of the 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications (TrustCom-18)

Abstract:   Kodi software has gained much attention in recent years due to its powerful capabilities for streaming legal and illegal media sources. This has led to numerous court cases and media reports around piracy and copyright infringement. This paper examines some of the most popular Kodi video addons on a Raspberry Pi 3 running Open Source Media Center (OSMC). There are a variety of different roles involved in the Kodi community such as normal users, addon authors and distributors. This paper identifies and defines these key roles. It looks at the relationships between addons and their authors and distributors. It shows how cloud evidence can be used to connect devices to the addon distributors. It further investigates the networks found among these authors and distributors using GraphQL in the GitHub cloud.

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BibTeX Entry:

      @inproceedings{du2018reconstruction,

	author={Sheppard, John},

	title="{Cloud Investigations of Illegal IPTV Networks}",

	booktitle="{Proceedings of the 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications (TrustCom-18)}",

	year="2018",

	month="08",

	address={New York, USA},

	publisher={IEEE},

	pages="1942-1947",

	doi={10.1109/TrustCom/BigDataSE.2018.00295}, 

	ISSN={2324-9013},

	abstract="Kodi software has gained much attention in recent years due to its powerful capabilities for streaming legal and illegal media sources. This has led to numerous court cases and media reports around piracy and copyright infringement. This paper examines some of the most popular Kodi video addons on a Raspberry Pi 3 running Open Source Media Center (OSMC). There are a variety of different roles involved in the Kodi community such as normal users, addon authors and distributors. This paper identifies and defines these key roles. It looks at the relationships between addons and their authors and distributors. It shows how cloud evidence can be used to connect devices to the addon distributors. It further investigates the networks found among these authors and distributors using GraphQL in the GitHub cloud."

}