{"title":"在医疗保健应用中使用无线身体传感器网络进行安全数据交换的节能互认证方案","authors":"M. Sarvabhatla, C. Vorugunti","doi":"10.1109/COMSNETS.2015.7098704","DOIUrl":null,"url":null,"abstract":"The advancement of semiconductor and ubiquitous technology resulted in a smart sensor networking system, which is an application of wireless sensor networks to health care applications (WMSN). Wireless Medical Sensor Network (WMSN) is a real-time continuous patient monitoring system, which provides a cost-optimal wireless sensor networking platform to track patient's physiological data through the sensors attached to patient body. Limited computational power, storage, communication and energy capacity of WMSN demands for energy efficient, light weight and high security mutual authentication schemes which provides unbreakable connectivity for end to end secure data delivery. In 2014, He et al. proposed an authentication scheme for WMSN and claimed that their scheme is light weight and resists all major cryptographic attacks. However, in this paper we will show that He et al scheme is vulnerable to offline password guessing attack and other major ones. As a part of our contribution, we will propose an energy efficient, light weight and highly secure authentication scheme for WMSN which 56% more energy efficient compared to He et al scheme and 20.18% compared to Kumar et al scheme.","PeriodicalId":277593,"journal":{"name":"2015 7th International Conference on Communication Systems and Networks (COMSNETS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"An energy efficient mutual authentication scheme for secure data exchange in health-care applications using wireless body sensor network\",\"authors\":\"M. Sarvabhatla, C. Vorugunti\",\"doi\":\"10.1109/COMSNETS.2015.7098704\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The advancement of semiconductor and ubiquitous technology resulted in a smart sensor networking system, which is an application of wireless sensor networks to health care applications (WMSN). Wireless Medical Sensor Network (WMSN) is a real-time continuous patient monitoring system, which provides a cost-optimal wireless sensor networking platform to track patient's physiological data through the sensors attached to patient body. Limited computational power, storage, communication and energy capacity of WMSN demands for energy efficient, light weight and high security mutual authentication schemes which provides unbreakable connectivity for end to end secure data delivery. In 2014, He et al. proposed an authentication scheme for WMSN and claimed that their scheme is light weight and resists all major cryptographic attacks. However, in this paper we will show that He et al scheme is vulnerable to offline password guessing attack and other major ones. As a part of our contribution, we will propose an energy efficient, light weight and highly secure authentication scheme for WMSN which 56% more energy efficient compared to He et al scheme and 20.18% compared to Kumar et al scheme.\",\"PeriodicalId\":277593,\"journal\":{\"name\":\"2015 7th International Conference on Communication Systems and Networks (COMSNETS)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 7th International Conference on Communication Systems and Networks (COMSNETS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/COMSNETS.2015.7098704\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 7th International Conference on Communication Systems and Networks (COMSNETS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COMSNETS.2015.7098704","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
摘要
随着半导体技术和泛在技术的进步,智能传感器网络系统应运而生,它是无线传感器网络在医疗保健领域的一种应用。无线医疗传感器网络(Wireless Medical Sensor Network, WMSN)是一种实时连续的患者监测系统,它提供了一个成本最优的无线传感器联网平台,通过附着在患者身体上的传感器来跟踪患者的生理数据。WMSN有限的计算能力、存储、通信和能源容量要求采用节能、轻量化和高安全性的互认证方案,为端到端的安全数据传输提供牢靠的连接。2014年,He等人提出了一种WMSN的认证方案,并声称该方案是轻量级的,可以抵抗所有主要的加密攻击。然而,在本文中,我们将证明He等方案容易受到离线密码猜测攻击和其他主要攻击。作为我们贡献的一部分,我们将为WMSN提出一种节能、轻量级和高度安全的认证方案,与He等人的方案相比,该方案节能56%,与Kumar等人的方案相比节能20.18%。
An energy efficient mutual authentication scheme for secure data exchange in health-care applications using wireless body sensor network
The advancement of semiconductor and ubiquitous technology resulted in a smart sensor networking system, which is an application of wireless sensor networks to health care applications (WMSN). Wireless Medical Sensor Network (WMSN) is a real-time continuous patient monitoring system, which provides a cost-optimal wireless sensor networking platform to track patient's physiological data through the sensors attached to patient body. Limited computational power, storage, communication and energy capacity of WMSN demands for energy efficient, light weight and high security mutual authentication schemes which provides unbreakable connectivity for end to end secure data delivery. In 2014, He et al. proposed an authentication scheme for WMSN and claimed that their scheme is light weight and resists all major cryptographic attacks. However, in this paper we will show that He et al scheme is vulnerable to offline password guessing attack and other major ones. As a part of our contribution, we will propose an energy efficient, light weight and highly secure authentication scheme for WMSN which 56% more energy efficient compared to He et al scheme and 20.18% compared to Kumar et al scheme.