@conference {528,
	title = {Data Cooperatives for Neighborhood Watch},
	booktitle = {2021 IEEE International Conference on Blockchain and Cryptocurrency (ICBC)},
	year = {2021},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Sydney, Australia},
	abstract = {<p>The increasing proliferation of user data is moving the world from the era of {\textquoteright}big data{\textquoteright} to a new era of shared data, and some are considering data as a factor of production that is paving the way for a new business economy. In this paper, we propose a solution that uses blockchain technology as a platform for online neighborhood watch using a form of data cooperative among individuals or organizations in the sharing of data through a peer-to-peer mechanism. We prove the concept by implementing a distributed phishing data sharing system that will maintain a community ledger of reported phishing activities with a consensus-based approval of the phishing transaction and a novel reputation scoring system thereby adding reliability to the system and effectively tackling the phishing problem. The data cooperative provides a way for timely multi-party sharing of phishing data among anti-phishing organizations and users of the internet eliminating the current approach of each organization maintaining its database. Our results show that blockchain is effective in complementing the existing methods of phishing detection and serves as a platform for sharing phishing data with respect to scalability, cost, and memory consumption. Also, our results further show that transaction times on the Ropsten test net follow a Gamma distribution. Our approach can be extrapolated to other data sharing systems like medical data, spam calls, discussion forums, etc.</p>
},
	keywords = {blockchain, Cybersecurity, data cooperative, data sharing, distributed ledger, peer-to- peer, phishing, smart contract},
	isbn = {978-1-6654-3578-9},
	doi = {10.1109/ICBC51069.2021.9461056},
	url = {https://ieeexplore.ieee.org/abstract/document/9461056},
	author = {Salau, Abiola and Dantu, Ram and Upadhyay, Kritagya}
}
@article {415,
	title = {Detecting driver distraction using stimuli-response EEG analysis},
	journal = {CoRR},
	volume = {abs/1904.09100},
	year = {2019},
	url = {http://arxiv.org/abs/1904.09100},
	author = {Bajwa, Garima and Fazeen, Mohamed and Dantu, Ram}
}
@conference {409,
	title = {Distributed Ledger for Spammers{\textquoteright} Resume},
	booktitle = {2019 IEEE Conference on Communications and Network Security (CNS)},
	year = {2019},
	month = {June},
	abstract = {<p>Unsolicited, and most likely spoofed, robot calls are not just an annoyance, but also carry a potential threat with the onset of automation, impersonation, and even voice manipulation technologies as malicious elements attempt to use deception to steal sensitive information or invoke action. Despite steps taken to protect consumers, the issue appears to be far from under control. In this paper, we propose a solution to use blockchain as a platform to share spam transactions through a peer-to-peer mechanism that will maintain a global database of reported spam transactions in order to identify and trace spam activity effectively. Storing spam transactions on a distributed ledger with consensus-based approval of transactions adds reliability to the data and can optimize the data points that will be available to spam detection algorithms in order to fight spam effectively. As this is peer to peer-based sharing, there is no need to rely on third-party providers for storing and sharing this data to the users. Every spam call received will be added as a detailed transaction on the blockchain to execute a smart contract that will calculate the trustworthiness of the caller. Call records are used to identify spam transactions while the blockchain ledgers store this data. We discuss the relevance and advantages of a distributed ledger to store these transactions. This paper does not aim at solving the spam problem with an optimized detection algorithm but evaluates the characteristics and performance of the blockchain as a distributed ledger and its relevance to serve as a platform for peer-to-peer spam detection mechanisms. We evaluate different blockchain metrics like transaction processing rates, gas costs and ledger sizes and discuss how they scale in order to store the spam reports data on the blockchain.</p>
},
	keywords = {blockchain, Peer-to-peer, Robocalls, smart contract, Spam detection},
	doi = {10.1109/CNS.2019.8802789},
	author = {Muttavarapu, Anudeep and Dantu, Ram and Thompson, Mark}
}
