Google Surveys Web for Malware.
This article discusses the results of a study conducted by Google Inc. that examined the extent to which malware is present on the Internet. The article examines the process that Google used to identify pages that may be infected with some aspect of malware, noting that nearly 450,000 sites were fou...
| Publicado en: | Computer (00189162) Vol. 40; no. 7; pp. 18 - 20 |
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| Formato: | Artículo |
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IEEE
Jul2007
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=25758823&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 25758823 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00189162 PUT jtl: Computer (00189162) issn: 00189162 maglogo: N pubinfo: dt: Jul2007 vid: 40 iid: 7 pid: 13605 pub: IEEE artinfo: ui: 25758823 ppf: 18 ppct: 2 formats: tig: atl: Google Surveys Web for Malware. aug: au: Paulson, Linda Dailey su: Malware Computer viruses Computer security Computer hackers Computer users Data protection Right of privacy Computer hacking Provos, Niels Google Inc. Crime victims sug: subj: Malware Computer viruses Computer security Computer hackers Computer users Data protection Right of privacy Computer hacking Provos, Niels Google Inc. Crime victims ab: This article discusses the results of a study conducted by Google Inc. that examined the extent to which malware is present on the Internet. The article examines the process that Google used to identify pages that may be infected with some aspect of malware, noting that nearly 450,000 sites were found to be infectious to users who simply visited the site. Niels Provos, a senior staff engineer at Google, noted that a computer that contracts a malware infection is able to have its keystrokes recorded and the user can have valuable personal information stolen. The article also mentions that malware can be used to turn computers into zombie computers that hackers remotely control to attack other computers. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2007 holdings: @attributes: islocal: N |
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