CLAS: A Novel Communications Latency Based Authentication Scheme

Author:

Dou Zuochao1ORCID,Khalil Issa2ORCID,Khreishah Abdallah1

Affiliation:

1. Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA

2. Qatar Computing Research Institute, Hamad Bin Khalifa University, Doha, Qatar

Abstract

We design and implement a novel communications latency based authentication scheme, dubbed CLAS, that strengthens the security of state-of-the-art web authentication approaches by leveraging the round trip network communications latency (RTL) between clients and authenticators. In addition to the traditional credentials, CLAS profiles RTL values of clients and uses them to defend against password compromise. The key challenges are (i) to prevent RTL manipulation, (ii) to alleviate network instabilities, and (iii) to address mobile clients. CLAS addresses the first challenge by introducing a novel network architecture, which makes it extremely difficult for attackers to simulate legitimate RTL values. The second challenge is addressed by outlier removal and multiple temporal profiling, while the last challenge is addressed by augmenting CLAS with out-of-band-channels or other authentication schemes. CLAS restricts login to profiled locations while demanding additional information for nonprofiled ones, which highly reduces the attack surface even when the legitimate credentials are compromised. Additionally, unlike many state-of-the-art authentication mechanisms, CLAS is resilient to phishing, pharming, man-in-the-middle, and social engineering attacks. Furthermore, CLAS is transparent to users and incurs negligible overhead. The experimental results show that CLAS can achieve very low false positive and false negative rates.

Publisher

Hindawi Limited

Subject

Computer Networks and Communications,Information Systems

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. LENTO: Unpredictable Latency-based continuous authEntication for Network inTensive IoT envirOnments;Future Generation Computer Systems;2023-02

2. A Flexible Access Control with User Revocation in Fog-Enabled Cloud Computing;2021 6th International Conference on Inventive Computation Technologies (ICICT);2021-01-20

3. Exquisite Analysis of Popular Machine Learning–Based Phishing Detection Techniques for Cyber Systems;Journal of Applied Security Research;2020-09-11

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