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On a way to improve cyber-insurer profits when a security vendor becomes the cyber-insurer

机译:在安全供应商成为网络保险公司时改善网络保险公司利润的方式

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Current research on cyber-insurance has mainly been about studying the market success of an insurance-driven security ecosystem. Such an ecosystem comprises of a set of market elements (e.g., cyber-insurers, network users, security vendors (SVs), regulatory agencies, etc.,) that coexist together as a system with the success goal of mutually satisfying each other's interests. However, existing works have not explicitly considered SVs as market elements, and have analytically proved the moderate/no success1 of cyber-insurance markets due to insurers not satisfying their interests in making zero expected profits at times. In this paper, we model a security vendor (e.g., Symantec, Microsoft) as a cyber-insurer, thereby making the former as an explicit market element. We then propose a novel consumer pricing mechanism for SVs based on their client/consumer logical network and consumer security investment amounts, with the goal to improve SV profits. Our simulation results show that SVs could improve up to 25% of their current profit margins by accounting for client location and investment information. A fraction of the extra profits could then be used up by the SVs to recover costs related to providing insurance coverage to their clients, and also to always make strictly positive profits as insurers. Finally, we propose a discrete-time sequential dynamic pricing strategy for an SV, and show that it leads to improved SV profits when compared to a static pricing strategy. Our work demonstrates one particular way for a cyber-insurance market to be successful on a more than moderate scale.
机译:目前关于网络保险的研究主要是为了研究保险驱动的安全生态系统的市场成功。这样的生态系统包括一组市场要素(例如,网络保险公司,网络用户,安全供应商(SV),监管机构等),其作为一个系统共存在一起作为一个互相满足彼此的利益的成功目标。然而,现有的工程没有明确地将SVS视为市场要素,并且由于保险公司而在不符合其有时归因于零预期利润的保险公司,对网络保险市场的中等/没有成功进行了分析。在本文中,我们模拟了一个安全供应商(例如,Symantec,Microsoft)作为网络保险公司,从而使前者成为明确的市场要素。我们基于客户/消费者逻辑网络和消费者安全投资金额为SVS提出了一种新的消费者定价机制,目标是提高SV利润。我们的仿真结果表明,SVS可以通过核算客户位置和投资信息来提高当前利润率的25%。然后,SV可以使用额外利润的一小部分,以收回与为客户提供保险范围的成本,并始终将严格的积极利润作为保险公司。最后,我们提出了一种用于SV的离散时间顺序动态定价策略,并表明它与静态定价策略相比,它导致SV利润提高。我们的作品向网络保险市场展示了一个特定方式,以获得超过中等的规模。

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