CLAS: A Novel Communications Latency Based Authentication Scheme
| Autor: | Zuochao Dou, Issa Khalil, Abdallah Khreishah |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Password
021110 strategic defence & security studies Network architecture Article Subject Computer Networks and Communications Computer science Outlier removal 0211 other engineering and technologies 020206 networking & telecommunications Authentication scheme 02 engineering and technology Attack surface Computer security computer.software_genre Login Phishing lcsh:Technology (General) 0202 electrical engineering electronic engineering information engineering lcsh:T1-995 Latency (engineering) lcsh:Science (General) computer Information Systems lcsh:Q1-390 |
| Zdroj: | Security and Communication Networks, Vol 2017 (2017) |
| ISSN: | 1939-0114 |
| DOI: | 10.1155/2017/4286903 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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