Netherlands / United States / United Kingdom / Wales / /
Currency
pence / / /
Facility
Antwerp University / Lancaster University / Security Lancaster Research Centre Lancaster University / /
IndustryTerm
software works / similar image media / child sexual abuse media / law enforcement premises / media classification / online child pornography / regular media content / media content / Internet resources / web sources / unknown child abuse media / web-accessible images / legal pornographic media / Internet-based paedophilia / Web Document Analysis / Internet project / stateof-the-art tools / law enforcement investigators / Internet Programme project / open-source software / peerto-peer computing / expert systems / unknown media / law enforcement officers / media classifier / legal pornography media / law enforcement store hash values / child abuse media / social media / suitable law enforcement premises / media classification module / law enforcement user requirements / le sharing systems / adult pornographic media / law enforcement investigations / Internet Sex Offenders / media analysis techniques / unknown child sexual abuse media / forensic software package / eDonkey network / law enforcement / media sources / software libraries / le-sharing networks / synthetic image classification using image search / pre-processing / legal constraints governing law enforcement / /
Organization
Lancaster University / School of Applied Psychology University College Cork / Antwerp University / vol. / Artificial Intelligence / US Federal Reserve / European Commission / German Research Center / Interpol / /
Person
Claudia Peersman / Silva Eleuterio / Margaret Brennan / Morgan Kaufmann / Mel Frequency Cepstral / Carl Fischer / Christian Schulze / /
2014 IEEE Security and Privacy Workshops iCOP: Automatically Identifying New Child Abuse Media in P2P Networks Claudia Peersman∗ , Christian Schulze† , Awais Rashid∗ , Margaret Brennan‡ and Carl Fischer∗ ∗ S