With rapid development of emerging applications, especially the artificial intelligence and Internet of Things (IoT), a large amount of digital information needs to be replicated, stored, processed, and communicated. This in turn requires secure communication and/or authentication; for this, cryptographic keys are required. [1,2] Software-based data encryption methods based on pseudorandom number generators are no longer sufficient due to their vulnerability; encryption effectiveness is also affected by the key quality. [3] These concerns essentially force the future data-intensive applications to have builtin-hardware-based information security systems, rather than relying solely on the software for battling security attacks. However, traditional hardware encryption solutions often work by storing the keys used by different encryption algorithms in a nonvolatile memory array; the stored cryptographic keys are vulnerable to physical and side-channel attacks, such as by observing the power consumed or radiation emitted. [4] Therefore, an epochmaking hardware-security technology is urgently needed for the future technologies.Physical unclonable functions (PUFs), also known as the physical one-way functions, [5] are promising hardware security primitives that allow random, unique cryptographic keys to be extracted for different application scenarios, rather than being stored in nonvolatile memory arrays. PUFs utilize intrinsic manufacturing defects in the physical microstructure of hardware components to interact with different external stimuli (light, voltage, and magnetic field), to produce unclonable cryptographic primitives comparable to biometrics for hardware security authorization. [6] The first reported PUFs exploited specific 2D patterns generated by a nonuniform 3D structure being optically hashed. [5] In general, optical PUF requires bulky external equipment and is incompatible with the existing silicon fabrication processes, which hinders its further application. [7] Additionally, conventional silicon PUFs suffer from issues such as low entropy, susceptibility to noise interference, and inability to resist machine-learning (ML) attacks. [8,9] In recent years, several PUFs constructed using novel materials, such Printed electronics promises to drive the future data-intensive technologies, with its potential to fabricate novel devices over a large area with low cost on nontraditional substrates. In these emerging technologies, there exists a large digital information flow, which requires secure communication and authentication. Physical unclonable functions (PUFs) offer a promising builtin hardware-security system comparable to biometrical data, which can be constructed by device-specific intrinsic variations in the additive manufacturing process of active devices. However, printed PUFs typically exploit the inherent variation in layer thickness and roughness of active devices. The current in devices with enough significant changes to increase the robustness to external environment noise is still a challen...
It is anticipated that the rapid development of the Internet of Things (IoT) will improve the quality of human life. Nonetheless, large amounts of data need to be replicated, stored, processed, and shared, posing formidable challenges to communication bandwidth and information security. Herein, it is reported that polyimide (PI) threshold‐switching memristors exhibit Gaussian conductance and randomly set voltage distribution with nonideal properties to create a compression and encryption engine with a single chip. The Gaussian conductance distribution is used to achieve compressed sensing (CS) to integrate encryption into compression, and the spontaneous formation of the one‐time‐sampling measurement matrix satisfies absolute security. Moreover, the bitstreams generated by randomly distributed set voltages are used to diffuse the ciphertext from CS to improve security. The engine is shown to be secure even if the eavesdropper knows both the plaintext and the corresponding ciphertext. It has compression performance advantages that take both efficiency and security into account. In addition, due to the superior high temperature and mechanical properties of PI, the engine can continue to function normally in harsh environments. Herein, an excellent solution is offered for ensuring the efficiency and security of IoT.
Microbial interactions impact the functioning of both natural and engineered systems, yet our ability to directly monitor these highly dynamic and spatially resolved interactions in living cells is very limited. Here, we developed a synergistic approach coupling single-cell Raman microspectroscopy with 15N2 and 13CO2 stable isotope probing in a microfluidic culture system (RMCS-SIP) for live tracking of the occurrence, rate, and physiological shift of metabolic interactions in active microbial assemblages. Quantitative and robust Raman biomarkers specific for N2 and CO2 fixation in both model and bloom-forming diazotrophic cyanobacteria were newly established and cross-validated. By designing a prototype microfluidic chip allowing simultaneous microbial cultivation and single-cell Raman acquisition, we achieved temporal tracking of both intercellular (between heterocyst and vegetative cells of cyanobacteria) and interspecies N and C metabolite exchange (from diazotroph to heterotroph). Moreover, single-cell N and C fixation and bidirectional transfer rate in living cells were quantified via SIP induced characteristic Raman shifts. Remarkably, RMCS captured physiological responses of metabolically active cells to nutrient stimuli through comprehensive metabolic profiling, providing multimodal information on the evolution of microbial interactions and functions under fluctuating conditions. This noninvasive RMCS-SIP is an advantageous approach for live cell imaging and represents an important advancement in the single-cell microbiology field. This new platform can be extended for real-time tracking of a wide range of microbial interactions with single-cell resolution and advances the understanding and manipulation of microbial interactions for societal benefit.
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