Google Inc.

Eric L Davis

Niels Provos

Yunkai Zhou

Mark Matthew Palatucci

Clayton Woodward Bavor, Jr

Kamal P Nigam

Panayiotis Mavrommatis

Christopher K Monson

Rachel Nakauchi

Shumeet Baluja

Fritz Schneider

Chris Barton

Avichal Garg

Clayton W Bavor Jr

Jr Clayton W Bavor

Intrusion features of a landing page associated with sponsored content are identified. A feature score for the landing page based on the identified intrusion features is generated, and if the feature score for the landing page exceeds a feature threshold, the landing page is classified as a candidate landing page. A sponsor account associated with the candidate landing page can be suspended, or sponsored content associated with the candidate landing page can be suspended.

Detection of malware features in a content item

Intrusive software management

Users may be protected from scumware included on or associated with web sites indexed by a search engine. The search engine may, for instance take the presence of scumware into account when ranking or determining whether a document matches a search query or provide information with search results that indicates that a particular search result link may be associated with scumware. In one implementation, a search engine generates search results for a search query to obtain documents that are relevant to the search query. The search engine may then format the search results as a web page that includes visual indicators associated with those of the relevant documents that have been determined to be associated with scumware.

Identification of possible scumware sites by a search engine

Detecting an intrusive landing page

Landing pages associated with advertisements are partitioned into training landing pages and testing landing pages. Iterative training and testing of a classification mode on intrusion features of the partitioned landing pages is conducted until the occurrence of a cessation event. Feature weights are derived from the iterative training and testing, and are associated with the intrusion features. The associated feature weights and intrusion features can be used to classify other landing pages.

Intrusive feature classification model

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San Jose, CA, United States of America

Eric L Davis