首页> 外国专利> ARTIFICIAL NEURAL NETWORK BASED FALSE DATA DETECTION AND DATA AGGREGATION IN WIRELESS SENSOR NETWORKS

ARTIFICIAL NEURAL NETWORK BASED FALSE DATA DETECTION AND DATA AGGREGATION IN WIRELESS SENSOR NETWORKS

机译:无线传感器网络中基于人工神经网络的虚假数据检测和数据融合

摘要

False data injection attack is a serious problem in data aggregation along with achievement of security mechanisms like. integrity and authentication. Compared with conventional desktop computers, implementing security mechanisms that provide authentication, confidentiality and integrity is not easy in wireless sensor networks due to the limited processing power, storage, bandwidth, and sensor node energy. Because of these characteristics such a kind of network suffers from a lot of problems such as data forgery, Sybil attack, worm hole attack, false data injection and other security attacks. Data Aggregation plays an important contribution to improve the multicast communication in hierarchical sensor network. Although data aggregation is very useful, it could cause some security problems because a compromised data aggregator may inject false data during data aggregation. When data aggregation is allowed, the false data detection technique should determine correctly whether any data alteration is due to data aggregation or false data injection. Further, existence of these attacks in data aggregation process has severe effect on the aggregated value which may lead to wrong information the base station or end user. Detection of these attacks and to minimize the loss due to these attacks is one of the major challenges in sensor networks. A combined data aggregation and false data detection technique should be there to ensure that data are altered by data aggregation only.
机译:在实现诸如安全机制之类的数据聚合过程中,错误的数据注入攻击是一个严重的问题。完整性和认证。与传统台式计算机相比,由于处理能力,存储,带宽和传感器节点能量有限,在无线传感器网络中实现提供身份验证,机密性和完整性的安全机制并不容易。由于这些特性,这种网络遭受了许多问题,例如数据伪造,Sybil攻击,蠕虫洞攻击,错误数据注入和其他安全攻击。数据聚合对改善分层传感器网络中的多播通信起着重要的作用。尽管数据聚合非常有用,但它可能会引起一些安全问题,因为受损的数据聚合器可能会在数据聚合期间注入虚假数据。当允许数据聚合时,错误数据检测技术应正确确定是否有任何数据更改是由于数据聚合还是错误数据注入引起的。此外,数据聚合过程中这些攻击的存在对聚合值具有严重影响,这可能导致基站或最终用户获得错误信息。检测这些攻击并最大程度地减少由于这些攻击造成的损失是传感器网络的主要挑战之一。应当结合使用数据聚合和错误数据检测技术,以确保仅通过数据聚合来更改数据。

著录项

  • 公开/公告号IN201611000900A

    专利类型

  • 公开/公告日2016-02-12

    原文格式PDF

  • 申请/专利权人

    申请/专利号IN201611000900

  • 发明设计人 MUKESH KUMAR;DR KAMLESH DUTTA;

    申请日2016-01-11

  • 分类号H04L12/801;

  • 国家 IN

  • 入库时间 2022-08-21 14:24:48

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