课题基金 / 基金详情

TWC SBE: Small: Building the human firewall: Developing organizational resistance to semantic security threats

TWC SBE: Small: Building the human firewall: Developing organizational resistance to semantic security threats
TWC SBE:小:构建人体防火墙:增强组织对语义安全威胁的抵抗力
批准号:
1421580
负责人:
Matthew Jensen
金额:
$50.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-08-01 至 2017-07-31

项目摘要

项目成果

Matthew Jensen的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
Semantic attacks are efforts by others to steal valuable information by imitating electronic communications from a trustworthy source. A common example of a semantic attack is phishing where a phisher sends unsolicited messages to potential targets. When a targeted individual responds, the phisher then steals valuable information from the individual. Semantic attacks flow through established channels of communication (e.g., email, social media) and are difficult to distinguish from legitimate messages. While a great deal of attention has focused on training and sensitizing individuals to the risks of semantic attacks, little research has focused on strategies that organizations might use to coordinate defensive actions among organization members. This research integrates expertise in a project design that is theory-driven and uses multiple research methods, including surveys, interviewing, and experimentation to investigate how organizations can build a human firewall against semantic attacks. The project holds strong promise for making new and important contributions to understanding how to develop organizational resistance to semantic attacks. To this end, the first stage of this research will employ a survey and series of interviews with industry practitioners to quantitatively and qualitatively assess the strategies that organizations currently employ to counter semantic attacks. In addition to generating important insights about the current state of the art in semantic attack defense, the findings will guide experimental studies during stages two and three. During stage two, strategies including crowdsourcing, gamification, and other strategies identified during stage one will be tested in a series of controlled experiments to examine their effectiveness in harnessing the abilities and attention of organization members to counter semantic attacks. The third stage of the project aims to examine the design and execution of promising strategies identified in stage two. The objective of this stage will be to learn how each strategy can be adopted and followed by the greatest number of people so as to solidify any protection the strategies offer. Again, controlled experimentation will be used during this stage and we will examine individual-level variables to understand how to encourage adoption. By leveraging an integrated, multi-method approach to the growing problem of semantic attacks, the series of studies outlined in our proposal will lead to new theories and models for future research and dissemination of lessons learned serving public interests.Intellectual Merit: New knowledge will be developed by identifying and systematically testing the efficacy of organizational strategies for countering semantic attacks. The organization-wide strategies that rely on crowdsourcing and integrate gamificiation and other techniques to counter semantic attacks offer a novel approach to developing the human firewall where individuals fight these semantic attacks as a collective rather than as individuals. By examining shared explanations for effective strategies, we would contribute not only effective strategies but the underlying theory for their effectiveness, which would serve as the foundation of future innovations in organizational responses to security threats. The research framework developed here may also be relevant to studying the mitigation of other security threats in addition to semantic attacks. Broader Impacts: Findings from this research are likely to also have a number of important practical implications for educating organizational leaders and the general public about strategies for countering semantic attacks. To disseminate findings from this research, we plan to hold two practitioner meetings and develop a public service website in which we will discuss the lessons learned during the project. Additionally, the website will provide base data, access to research reports, and educational programs produced by this project. The combination of theoretical and methodological backgrounds required to conduct the experiments will contribute immeasurably to the research training of graduate and undergraduate research assistants. Finally, project results will be shared through professional presentations and publications.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
EAGER: Opinion Spam in Digital Rulemaking: Techniques, Effects, and Interventions
  • 批准号:
    2232169
  • 项目类别:
    Standard Grant
  • 资助金额:
    $30.0万
  • 财政年份:
    2022
  • 负责人:
    Matthew Jensen
  • 依托单位:
国内基金
海外基金
转基因水稻中不同反义Sbe基因结构对抑制胚乳支链淀粉合成效果的比较
  • 批准号:
    30300226
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    20.0万元
  • 批准年份:
    2003
  • 负责人:
    刘巧泉
  • 依托单位: