Visible to the public Biblio

Filters: Author is Bulusu, Nirupama  [Clear All Filters]
2019-02-18
Alzahrani, Naif, Bulusu, Nirupama.  2018.  Block-Supply Chain: A New Anti-Counterfeiting Supply Chain Using NFC and Blockchain. Proceedings of the 1st Workshop on Cryptocurrencies and Blockchains for Distributed Systems. :30–35.
Current anti-counterfeiting supply chains rely on a centralized authority to combat counterfeit products. This architecture results in issues such as single point processing, storage, and failure. Blockchain technology has emerged to provide a promising solution for such issues. In this paper, we propose the block-supply chain, a new decentralized supply chain that detects counterfeiting attacks using blockchain and Near Field Communication (NFC) technologies. Block-supply chain replaces the centralized supply chain design and utilizes a new proposed consensus protocol that is, unlike existing protocols, fully decentralized and balances between efficiency and security. Our simulations show that the proposed protocol offers remarkable performance with a satisfactory level of security compared to the state of the art consensus protocol Tendermint.
2015-05-01
Dua, Akshay, Bulusu, Nirupama, Feng, Wu-Chang, Hu, Wen.  2014.  Combating Software and Sybil Attacks to Data Integrity in Crowd-Sourced Embedded Systems. ACM Trans. Embed. Comput. Syst.. 13:154:1–154:19.

Crowd-sourced mobile embedded systems allow people to contribute sensor data, for critical applications, including transportation, emergency response and eHealth. Data integrity becomes imperative as malicious participants can launch software and Sybil attacks modifying the sensing platform and data. To address these attacks, we develop (1) a Trusted Sensing Peripheral (TSP) enabling collection of high-integrity raw or aggregated data, and participation in applications requiring additional modalities; and (2) a Secure Tasking and Aggregation Protocol (STAP) enabling aggregation of TSP trusted readings by untrusted intermediaries, while efficiently detecting fabricators. Evaluations demonstrate that TSP and STAP are practical and energy-efficient.