All-in-one, bio-inspired, and low-power crypto engines for near-sensor security based on two-dimensional memtransistors.
All-in-one, bio-inspired, and low-power crypto engines for near-sensor security based on two-dimensional memtransistors.
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DOI:
10.1038/s41467-022-31148-z
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发表时间:
2022-06-23
影响因子:
16.6
通讯作者:
Das, Saptarshi
中科院分区:
文献类型:
--
作者:
Dodda, Akhil;Trainor, Nicholas;Redwing, Joan. M.;Das, Saptarshi
In the emerging era of the internet of things (IoT), ubiquitous sensors continuously collect, consume, store, and communicate a huge volume of information which is becoming increasingly vulnerable to theft and misuse. Modern software cryptosystems require extensive computational infrastructure for implementing ciphering algorithms, making them difficult to be adopted by IoT edge sensors that operate with limited hardware resources and at low energy budgets. Here we propose and experimentally demonstrate an “all-in-one” 8 × 8 array of robust, low-power, and bio-inspired crypto engines monolithically integrated with IoT edge sensors based on two-dimensional (2D) memtransistors. Each engine comprises five 2D memtransistors to accomplish sensing and encoding functionalities. The ciphered information is shown to be secure from an eavesdropper with finite resources and access to deep neural networks. Our hardware platform consists of a total of 320 fully integrated monolayer MoS2-based memtransistors and consumes energy in the range of hundreds of picojoules and offers near-sensor security. Internet of things (IoT) sensors can collect, store and communicate large volumes of information, which require effective security measures. Here, the authors report the realization of low-power edge sensors based on photosensitive and programmable 2D memtransistors, integrating sensing, storage and encryption functionalities.
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影响因子:
16.6
作者:
Lanza M;Smets Q;Huyghebaert C;Li LJ
通讯作者:
Li LJ
影响因子:
16.6
作者:
Jiang W;Pacella MS;Athanasiadou D;Nelea V;Vali H;Hazen RM;Gray JJ;McKee MD
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影响因子:
34.3
作者:
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通讯作者:
Das, Saptarshi
影响因子:
17.1
作者:
Arnold, Andrew J.;Razavieh, Ali;Das, Saptarshi
通讯作者:
Das, Saptarshi
DOI:
10.1109/tvlsi.2016.2574620
发表时间:
2017-01-01
影响因子:
2.8
作者:
Khan, Zia U. A.;Benaissa, Mohammed
通讯作者:
Benaissa, Mohammed