%0 Conference Proceedings
%T Enhancing the Security of Image CAPTCHAs Through Noise Addition
%+ Rutgers University [Camden]
%+ School of Information Technology [Kharagpur]
%A Lorenzi, David
%A Uzun, Emre
%A Vaidya, Jaideep
%A Sural, Shamik
%A Atluri, Vijayalakshmi
%Z Part 5: Security Management and Human Aspects of Security
%< avec comité de lecture
%( IFIP Advances in Information and Communication Technology
%B 30th IFIP International Information Security Conference (SEC)
%C Hamburg, Germany
%Y Hannes Federrath
%Y Dieter Gollmann
%3 ICT Systems Security and Privacy Protection
%V AICT-455
%P 354-368
%8 2015-05-26
%D 2015
%R 10.1007/978-3-319-18467-8_24
%Z Computer Science [cs]Conference papers
%X Text based CAPTCHAs are the de facto method of choice to ensure that humans (rather than automated bots) are interacting with websites. Unfortunately, users often find it inconvenient to read characters and type them in. Image CAPTCHAs provide an alternative that is often preferred to text-based implementations. However, Image CAPTCHAs have their own set of security and usability problems. A key issue is their susceptibility to Reverse Image Search (RIS) and Computer Vision (CV) attacks. In this paper, we present a generalized methodology to transform existing images by applying various noise generation algorithms into variants that are resilient to such attacks. To evaluate the usability/security tradeoff, we conduct a user study to determine if the method can provide “usable” images that meet our security requirements – thus improving the overall security provided by Image CAPTCHAs.
%G English
%Z TC 11
%2 https://inria.hal.science/hal-01345127/document
%2 https://inria.hal.science/hal-01345127/file/337885_1_En_24_Chapter.pdf
%L hal-01345127
%U https://inria.hal.science/hal-01345127
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-TC11
%~ IFIP-AICT-455
%~ IFIP-SEC