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Network Security Strategies in Big Data Context

机译:大数据上下文中的网络安全策略

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Big data allows organizations to process massive and complex data to extract hidden patterns, draw insights, and also to share data through the network. Data that transit in an organization network is often sensitive and requires an efficient and secure platform. For this reason, network security has been brought to the forefront in the Big data era. In this context, network security platforms have to deal with vast and complex information to predict and prevent potential attacks in real-time. However, these platforms are often based on traditional approaches, which make them unreliable to secure big data. In this paper, we mainly focus on network security and protection strategies of big data. First, we highlight factors affecting network security platforms in the Big data era. Then, we go through different big data strategies that allow ensuring security across networks while surveying recent researches.
机译:大数据允许组织处理大量和复杂的数据以提取隐藏的模式,绘制洞察力,以及通过网络共享数据。在组织网络中运输的数据通常是敏感的,需要高效和安全的平台。因此,网络安全已被带到大数据时代的最前沿。在这种情况下,网络安全平台必须处理巨大和复杂的信息来预测和防止实时潜在攻击。但是,这些平台通常基于传统方法,这使得它们不可靠地保护大数据。在本文中,我们主要关注大数据的网络安全和保护策略。首先,我们突出了影响大数据时代网络安全平台的因素。然后,我们通过不同的大数据策略,允许确保网络的安全,同时调查最近的研究。

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