Arjun Parasuram Prasad

Arjun Parasuram Prasad

MS CS @ NYU | SWE Intern @ Corvic AI | ex-Providence, SuperPe

Publications

Journal Articles

Auto-Markup BenchMark: towards an industry-standard benchmark for evaluating automatic document markup

Published in Balisage: The Markup Conference 2023 — Balisage Series on Markup Technologies, Vol. 28, 2023

We introduce an early benchmark (Auto-Markup BenchMark) for evaluating automatic markup engines and propose XATER (XML Translation Edit Rate) alongside a validation-error metric to standardize comparisons across tools and tasks.

Recommended citation: Prescod, P.; Feuer, B.; Hladkyi, A.; Paulk, S.; Prasad, A. (2023). Auto-Markup BenchMark: towards an industry-standard benchmark for evaluating automatic document markup. Proceedings of Balisage: The Markup Conference 2023, Balisage Series on Markup Technologies, Vol. 28.
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Context-Aware Behavioral Fingerprinting in IoT Devices

Published in 20th International Conference on Security and Cryptography, SECRYPT 2023, 2023

We propose a context-aware behavioral fingerprinting of IoT devices that takes into account the circumstances or contexts under which the devices are operating. Our fingerprinting strategy uses supervised learning for classifying the IoT devices.Finally, Experimental results show that our fingerprinting technique is quite effective and is capable of identifying IoT devices with more than 94% accuracy.

Recommended citation: Prasad, A.; Biju, K.; Somani, S. and Mitra, B. (2023). Context-Aware Behavioral Fingerprinting of IoT Devices via Network Traffic Analysis. 20th International Conference on Security and Cryptography, SECRYPT 2023.
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