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Browsing by Author "Rastogi, Rishabh"

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    Covert and Quantum-Safe Tunneling of Multi-Band Military-RF Communication Waveforms Through Non-Cooperative 5G Networks
    Alwan, Elias; Volakis, John; Islam, Md Khadimul; De Silva, Udara; Madanayake, Arjuna; Sanchez, Jose Angel; Sklivanitis, George; Pados, Dimitris A.; Beckwith, Luke; Azarderakhsh, Reza; Muralkrishan, Madhuvanti; Rastogi, Rishabh; Hore, Aniruddha; Burger, Eric W. (IEEE, 2023)
    We have built a prototype universal radio adapter which furnishes seamless and secure wireless communication through non-cooperative indigenous 5G networks for military and government users. The adapter consists of a waveform-agnostic hardware add-on that tunnels DoD terrestrial and satellite data. The adapter uses secure protocols for cross-connecting military-grade wireless RF communications equipment using spectrum in the range from UHF to Ka-band. A 5G data transport channel replaces the captured spectrum for transporting information at the IQ-sample level. In a sense, we replace the antenna-air interface and wireless channel with a transparent 5G data network. A plurarity of legacy military systems can operate through modern 5G networks in a seamless way without any knowledge of the characteristics of military waveforms. The adapter incorporates AI/ML based methods for smart spectrum sensing and autonomous radio reconfiguration. This enables intelligent interconnection of a number of military radios through non-cooperative (potentially adversarial) 5G commercial cellular networks. The adapter is built on four technical pillars: 1) ultra-wideband apertures for multi-functional and flexible software-defined radios (SDRs) with agile, wideband, and dual-band tunable RF transceivers for FR1/FR2 bands; 2) physical layer operation that involve device authentication via deep-learning based RF fingerprinting and compression of acquired IQ data; 3) secure and reconfigurable cryptographic co-processors employing the new quantum-safe algorithms selected by NIST to achieve authentication, key exchange, and encryption with focus on resource-constrained low size, weight, power, and cost (SWaP-C) devices; and 4) generative artificial intelligence and spread-spectrum steganography to hide DoD traffic passed through 5G networks and improve resiliency against real-time traffic analysis by nation-state carriers and intelligence agencies.
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    On The Block - Exclusive Marketplace for student to buy and sell used goods
    Butley, Rushikesh; Thakur, Vidhi; Rastogi, Rishabh; Rastogi, Somyaa; Pathak, Jignasu Yagnesh; Teckchandani, Nishant (2023-05-03)
    Ontheblock is an online marketplace designed specifically for Virginia Tech students to buy, sell, or exchange household items safely and efficiently. The platform provides an easy-to-use interface that allows students to browse through various items, create listings for their own goods, communicate with potential buyers or sellers, rate their experience with a user, report a user, share a product on the internet and browse future available products so that buyers and sellers can transact on a future date and on their own terms. The goal of Ontheblock is to provide a convenient solution for students who are often on tight budgets and need to acquire household items without breaking the bank. Additionally, the platform offers a safe and secure way to contact potential buyers or sellers, as all profiles are verified “vt.edu” domain backed by secure OPT validations by phone and email. This reduces the problem/risk of scammers scamming unsuspecting students of their precious money and resources. Ontheblock is an ideal solution for any Virginia Tech student looking for an affordable and safe way to buy or sell household items.