| 1. |
- Rathor, Vijaypal Singh, et al.
(författare)
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Gatelock : input-dependent key-based locked gates for sat resistant logic locking
- 2024
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Ingår i: IEEE Transactions on Very Large Scale Integration (vlsi) Systems. - : Institute of Electrical and Electronics Engineers (IEEE). - 1063-8210 .- 1557-9999. ; 32:2, s. 361-371
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Tidskriftsartikel (refereegranskat)abstract
- Logic locking has become a robust method for reducing the risk of intellectual property (IP) piracy, overbuilding, and hardware Trojan threats throughout the lifespan of integrated circuits (ICs). Nevertheless, the majority of reported logic locking approaches are susceptible to satisfiability (SAT)-based attacks. The existing SAT-resistant logic locking methods provide a tradeoff between security and effectiveness and require a significant design overhead. In this article, a novel gate replacement-based input-dependent key-based logic locking (IDKLL) technique is proposed. We first introduce the concept of IDKLL, and how the IDKLL can mitigate the SAT attacks completely. Unlike conventional logic locking, the IDKLL approach uses multiple key sequences (KSs) (instead of a single KS) as the correct key to lock/unlock the design functionality for all inputs. Based on this IDKLL concept, we developed several locked gates. Further, we propose a lightweight gate replacement-based IDKLL called GateLock that locks the design by replacing exciting gates with their respective IDKLL-based locked gates. The security analysis of the proposed method shows that it prevents the SAT attack completely and forces the attacker to apply a significantly large number of brute-force attempts to decipher the key. The experimental evaluation on International Symposium on Circuits and Systems (ISCAS) and International Test Conference (ITC) benchmarks shows that the proposed GateLock method completely prevents the SAT-based attacks and requires an average of 56.7%, 72.7%, and 87.8% reduced area, power, and delay compared to cascaded locking (CAS-Lock) and strong Anti-SAT (SAS) approaches.
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| 2. |
- Singh, Munesh, et al.
(författare)
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Cooperative geometric scheme for passive localization of target in an indoor environment
- 2022
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Ingår i: Proceedings of the 2022 IEEE Symposium Series on Computational Intelligence, SSCI 2022. - : Institute of Electrical and Electronics Engineers (IEEE). - 9781665487689 ; , s. 238-245
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Konferensbidrag (refereegranskat)abstract
- Due to the rapid expansion of the Internet of Things (IoT), modern buildings are equipped with ubiquitous networked devices and ambient sensors. This transformation opened a new opportunity for occupancy detection using the current infrastructure. In the literature review, we identified various solutions that can facilitate passive localization using radio, motion sensors, RFID, NFC, and air quality sensors. However, radio devices are the most effective and inexpensive solution for occupancy detection. Passive localization (PL) is an emerging area of indoor occupancy detection. It has various applications in perimeter security, elderly monitoring, and the intelligent healthcare sector. In PL, the target is localized using the target-induced shadowed links within the wireless network. Researchers investigated various approaches for passive local-ization using analytical geometry and fingerprinting techniques. However, the existing fingerprinting and geometric schemes are computationally expensive and need a dense wireless network for greater accuracy. We have obtained better accuracy in the proposed PL scheme within a sparsely deployed wireless network. The performance of the proposed PL scheme is compared with the state-of-the-art Geometric filter (GF) scheme. The obtained results show that the proposed PL scheme achieved 0.21m mean accuracy of target tracking with 0.20 m of Root Mean Square Error (RMSE).
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| 3. |
- Singh, Munesh, et al.
(författare)
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An intelligent IoT-based data analytics for freshwater recirculating aquaculture system
- 2024
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Ingår i: IEEE Internet of Things Journal. - : IEEE. - 2327-4662. ; 11:3, s. 4206-4217
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Tidskriftsartikel (refereegranskat)abstract
- Smart farming is essential for a nation whose economy largely depends on agro products. In the last few years, rapid urbanization and deforestation have impacted farmers. Due to the lack of rainwater harvesting and changing weather patterns, many crop failure cases have been registered in the last few years. To prevent loss of annual crop production, many researchers propose the technology-driven smart farming method. Smart farming is a technology-driven control environment for monitoring and maintaining the crop. Smart farming increases crop production and provides an alternative source of income to small farmers. To promote smart farming in India, the government initiated many pilot projects for integrated aquaculture farming. However, the lack of technological intervention and skill-oriented process makes it difficult for most farmers to succeed in this business. In this paper, we have proposed an intelligent IoT-based freshwater recirculating aquaculture system. The proposed system has integrated sensors and actuators. The sensor system monitors the water parameters, and actuators maintain the aquaculture environment. An intelligent data analytics algorithm played a significant role in monitoring and maintaining the freshwater aquaculture environment. The analytics derived the relationship between the water parameters and identified the relative change. From the experimental evaluation, we have identified that the M5 model tree algorithm has the highest accuracy for monitoring the relative change in water parameters.
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