J Med Syst - Distributed denial of service (DDoS) attack in cloud- assisted wireless body area networks: a systematic literature review.

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Resumo

Wireless Body Area Networks (WBANs) have emerged as a promising technology that has shown enormous potential in improving the quality of healthcare, and has thus found a broad range of medical applications from ubiquitous health monitoring to emergency medical response systems. The huge amount of highly sensitive data collected and generated by WBAN nodes requires an ascendable and secure storage and processing infrastructure. Given the limited resources of WBAN nodes for storage and processing, the integration of WBANs and cloud computing may provide a powerful solution. However, despite the benefits of cloud-assisted WBAN, several security issues and challenges remain. Among these, data availability is the most nagging security issue. The most serious threat to data availability is a distributed denial of service (DDoS) attack that directly affects the all-time availability of a patient's data. The existing solutions for standalone WBANs and sensor networks are not applicable in the cloud. The purpose of this review paper is to identify the most threatening types of DDoS attacks affecting the availability of a cloud-assisted WBAN and review the state-of-the-art detection mechanisms for the identified DDoS attacks.

Resumo Limpo

wireless bodi area network wban emerg promis technolog shown enorm potenti improv qualiti healthcar thus found broad rang medic applic ubiquit health monitor emerg medic respons system huge amount high sensit data collect generat wban node requir ascend secur storag process infrastructur given limit resourc wban node storag process integr wban cloud comput may provid power solut howev despit benefit cloudassist wban sever secur issu challeng remain among data avail nag secur issu serious threat data avail distribut denial servic ddos attack direct affect alltim avail patient data exist solut standalon wban sensor network applic cloud purpos review paper identifi threaten type ddos attack affect avail cloudassist wban review stateoftheart detect mechan identifi ddos attack

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