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A crowdsourcing approach to protect against novel malware threats

机译:一种防范小说恶意软件威胁的众群方法

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Worm attacks for more than two decades have been affecting the Internet causing instability and economic loses. In a huge pool of possible victims such as the Internet there can exist many targets running the same software with the same vulnerabilities. To prevent such targets from getting infected one can use the crowd experience to identify a possible attack and restrict the use of possible vulnerable software for a certain period. Crowdsourcing intelligence or collaborative intelligence is the power of many when each one in a group of participants shares certain information. It is characterized by enhancing information accuracy which further improves decision making on the group. This paper presents and analyzes NetBuckler, a collaborative client application which employs collaborative intelligence to defend against Internet worms. It also briefly presents JXTA and its potential.
机译:超过二十年的蠕虫攻击一直影响互联网导致不稳定和经济失败。 在巨大的可能受害者中,如互联网,可以存在许多运行相同软件的目标,具有相同的漏洞。 为了防止这些目标被感染者可以使用人群体验来确定可能的攻击并限制某个时期可能的易受攻击软件的使用。 众包智能或协作智能是许多人在一群参与者中分享某些信息时的权力。 它的特征在于提高信息准确性,这进一步提高了该组的决策。 本文介绍并分析了Netbuckler,这是一个合作的客户申请,该应用程序采用合作智能来防御互联网蠕虫。 它还简要介绍了JXTA及其潜力。

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