Channel characteristics aware zero knowledge proof based authentication scheme in body area networks

被引:8
|
作者
Umar, Mubarak [1 ,2 ,3 ]
Wu, Zhenqiang [1 ,2 ]
Liao, Xuening [1 ,2 ]
机构
[1] Shaanxi Normal Univ, Sch Comp Sci, Xian 710062, Peoples R China
[2] Minist Educ, Key Lab Modern Teaching Technol, Xian 710062, Peoples R China
[3] Bayero Univ, Dept Comp Sci, Kano 3011, Nigeria
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
Wireless body area network (WBAN); Authentication; Channel characteristic; Zero knowledge proof (ZKP); KEY AGREEMENT SCHEME; ANONYMOUS MUTUAL AUTHENTICATION; IOT DEVICES; SECURE; INTERNET;
D O I
10.1016/j.adhoc.2020.102374
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Wireless body area network (WBAN) is a network of wearable devices placed on the body of patients to collect and transmit their biomedical data to medical servers through open wireless channels. These collected data are sensitive and their transmission via the open wireless channels makes them vulnerable to attacks by unauthorized users. Therefore, secure authentication and data encryption mechanisms in WBAN are essential. In the past few years, several zero knowledge proof (ZKP) and commitment technique based schemes for WBAN were proposed to provide lightweight authentication and data encryption for intra-WBAN communication. However, these schemes are susceptible to node compromise and impersonation attacks and cannot provide security for inter-WBAN communication. Motivated by these limitations, we first propose a compromise and impersonation attacks resistant (CIAR) authentication scheme based on ZKP, commitment technique, and received signal strength (RSS), which could identify attackers that have compromised nodes and attempt to impersonate them. To ensure the security of the inter-WBAN communication, we then propose a channel characteristic aware (CCA) authentication scheme based on the ZKP and commitment technique. We performed security and performance analyses to validate the resilience of the schemes to various attacks and their effectiveness in terms of resources. Moreover, we conducted extensive experiments in indoor and outdoor areas to demonstrate the security strength of our schemes. The experimental results as well as the performance and security analyses show that our CIAR-ZKP scheme overcomes the security weaknesses in previous schemes at an equal cost. Moreover, the results of the CCA-ZKP scheme indicate that it can effectively identify 92% of attack attempts while triggering false alarms on merely 11% of legitimate traffic.
引用
收藏
页数:17
相关论文
共 50 条
  • [31] Analysis and Improvement of a Mutual Authentication Scheme for Wireless Body Area Networks
    Rui Chen
    Dezhong Peng
    Journal of Medical Systems, 2019, 43
  • [32] A robust authentication scheme with dynamic password for wireless body area networks
    Liu, Xin
    Zhang, Ruisheng
    Zhao, Mingqi
    COMPUTER NETWORKS, 2019, 161 : 220 - 234
  • [33] Blockchain Data Privacy Protection and Sharing Scheme Based on Zero-Knowledge Proof
    Feng, Tao
    Yang, Pu
    Liu, Chunyan
    Fang, Junli
    Ma, Rong
    WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2022, 2022
  • [34] Double Threshold Authentication Using Body Area Radio Channel Characteristics
    Zhao, Nan
    Ren, Aifeng
    Hu, Fangming
    Zhang, Zhiya
    Rehman, Masood Ur
    Zhu, Tianqiao
    Yang, Xiaodong
    Alomainy, Akram
    IEEE COMMUNICATIONS LETTERS, 2016, 20 (10) : 2099 - 2102
  • [35] Privacy-aware smart card based biometric authentication scheme for e-health
    Chen, Li
    Zhang, Ke
    PEER-TO-PEER NETWORKING AND APPLICATIONS, 2021, 14 (03) : 1353 - 1365
  • [36] Efficient and privacy-preserving authentication scheme for wireless body area networks
    Shuai, Mengxia
    Liu, Bin
    Yu, Nenghai
    Xiong, Ling
    Wang, Changhui
    JOURNAL OF INFORMATION SECURITY AND APPLICATIONS, 2020, 52
  • [37] An Improved Two-Layer Authentication Scheme for Wireless Body Area Networks
    Xiaoguang Liu
    Chunhua Jin
    Fagen Li
    Journal of Medical Systems, 2018, 42
  • [38] Enabling Secure Communication in Wireless Body Area Networks with Heterogeneous Authentication Scheme
    Ullah, Insaf
    Khan, Muhammad Asghar
    Abdullah, Ako Muhammad
    Noor, Fazal
    Innab, Nisreen
    Chen, Chien-Ming
    SENSORS, 2023, 23 (03)
  • [39] BAKA: Biometric Authentication and Key Agreement Scheme Based on Fuzzy Extractor for Wireless Body Area Networks
    Zhang, Shiwen
    Yan, Ziwei
    Liang, Wei
    Li, Kuan-Ching
    Dobre, Ciprian
    IEEE INTERNET OF THINGS JOURNAL, 2024, 11 (03) : 5118 - 5128
  • [40] Blockchain-Enhanced Zero Knowledge Proof-Based Privacy-Preserving Mutual Authentication for IoT Networks
    Pathak, Aditya
    Al-Anbagi, Irfan
    Hamilton, Howard J.
    IEEE ACCESS, 2024, 12 : 118618 - 118636