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A passive keyless entry and start (PKES) system is an electronic lock for an automobile that provides the great convenience of opening the door when the user is in proximity. However, the system suffers from relay attacks. Recent studies revealed that relayed signals result in valid packets that are sufficient to unlock doors. In particular, the adversary causes proximity errors by injecting a certain time delay before relaying to manipulate the phase rotation in the response signal. To this end, we present a novel relay-resilient proximity detection solution, BackProx, which uses pseudo-random frequency hopping with the assistance of a reference backscattering device. Since the relay adversary transmits the relayed signals from the key fob at long distances, the signals should propagate over longer distances, resulting in inevitable significant phase rotation with different frequencies. Inspired by this finding, BackProx uses an additional backscattering device to ensure the proximity of the key fob using the invariant characteristics of radio frequency signals in the physical layer (i.e., phase rotation). Our evaluation demonstrates the effectiveness of BackProx in resisting three types of relay attacks. The results show that it achieved a 98% true positive rate at close range and a 0.3% false positive rate at long range.

Advancements in convolutional neural network (CNN) have resulted in remarkable success in various computing fields. However, the need to protect data against external security attacks has become increasingly important because inference process in CNNs exploit sensitive data. Secure Memory is a hardware-based protection technique that can protect the sensitive data of CNNs. However, naively applying secure memory to a CNN application causes significant performance and energy overhead. Furthermore, ensuring secure memory becomes more difficult in environments that require area efficiency and low-power execution, such as the Internet of Things (IoT). In this paper, we investigated memory access patterns for CNN workloads and analyzed their effects on secure memory performance. According to our observations, most CNN workloads intensively write to narrow memory regions, which can cause a considerable number of counter overflows. On average, 87.6% of total writes occur in 6.8% of the allocated memory space; in the extreme case, 93.9% of total writes occur in 1.4% of the allocated memory space. Based on our observations, we propose an efficient integrity-tree structure called Countermark-tree that is suitable for CNN workloads. The proposed technique reduces overall energy consumption by 48%, shows a performance improvement of 11.2% compared to VAULT-128, and requires a similar integrity-tree size to VAULT-64, a state-of-the-art technique.

The evolution of mobile communication technology has brought about significant changes in the way people communicate. However, the lack of nonverbal cues in computer-mediated communication can make the accurate interpretation of emotions difficult. This study proposes a novel approach for using emotions as active input in mobile systems. This approach combines psychological and neuroscientific principles to accurately and comprehensively assess an individual’s emotions for use as input in mobile systems. The proposed technique combines facial and heart rate information to recognize users’ five prime emotions, which can be implemented on mobile devices using a front camera and a heart rate sensor. A user evaluation was conducted to verify the efficacy and feasibility of the proposed technique, and the results showed that users could express emotions faster and more accurately, with average recognition accuracies of 90% and 82% for induced and intended emotional expression, respectively. The proposed technique has the potential to enhance the user experience and provide more personalized and dynamic interaction with mobile systems.

A passive keyless entry and start (PKES) system is an electronic lock for an automobile that provides the great convenience of opening the door when the user is in proximity. However, the system suffers from relay attacks. Recent studies revealed that relayed signals result in valid packets that are sufficient to unlock doors. In particular, the adversary causes proximity errors by injecting a certain time delay before relaying to manipulate the phase rotation in the response signal. To this end, we present a novel relay-resilient proximity detection solution, BackProx, which uses pseudo-random frequency hopping with the assistance of a reference backscattering device. Since the relay adversary transmits the relayed signals from the key fob at long distances, the signals should propagate over longer distances, resulting in inevitable significant phase rotation with different frequencies. Inspired by this finding, BackProx uses an additional backscattering device to ensure the proximity of the key fob using the invariant characteristics of radio frequency signals in the physical layer (i.e., phase rotation). Our evaluation demonstrates the effectiveness of BackProx in resisting three types of relay attacks. The results show that it achieved a 98% true positive rate at close range and a 0.3% false positive rate at long range.

Quality of service (QoS) has evolved to ensure performance across various computing environments, focusing on data bandwidth, response time, throughput, and stability. Traditional QoS schemes primarily target DRAM-based homogeneous memory systems, exposing limitations when applied to diverse memory configurations. Moreover, the emergence of nonvolatile memories (NVMs) has made achieving QoS even more challenging due to their differing characteristics. While QoS schemes have been proposed for DRAM-based memory systems or hybrid memory systems combining DRAM and a single NVM type, there is a lack of research on QoS techniques for memory systems that incorporate multiple types of NVM simultaneously. Ensuring QoS in these heterogeneous memory environments is challenging due to significant differences in memory characteristics. In this paper, we propose a novel technique, dynamic affinity-based resource pairing (DARP), designed to enhance QoS in multicore heterogeneous memory systems. The proposed approach dynamically monitors the memory access patterns of applications and leverages the specific read/write characteristics of NVM devices. Detailed information from monitoring is used to optimally allocate memory data to the most suitable memory devices, ensuring stable memory response times and mitigating bottlenecks. Extensive experiments validate the efficiency and scalability of DARP across various workloads and heterogeneous memory configurations, including memory systems with multiple types of NVM. The results show that our technique significantly outperforms state-of-the-art QoS methods in terms of memory response time consistency and overall QoS in heterogeneous memory environments. DARP achieved a memory response time variability of 74.4% in six different memory configurations compared to the baseline on average, demonstrating its high scalability and effectiveness in enhancing QoS across various heterogeneous memory systems.

Transfer RNA halves (tRHs) have various biological functions. However, the biogenesis of specific 5′-tRHs under certain conditions remains unknown. Here, we report that inositol-requiring enzyme 1α (IRE1α) cleaves the anticodon stem-loop region of tRNA Gly(GCC) to produce 5′-tRHs (5′-tRH-Gly GCC ) with highly selective target discrimination upon endoplasmic reticulum (ER) stress. Levels of 5′-tRH-Gly GCC positively affect cancer cell proliferation and modulate mRNA isoform biogenesis both in vitro and in vivo; these effects require co-expression of two nuclear ribonucleoproteins, HNRNPM and HNRNPH2, which we identify as binding proteins of 5′-tRH-Gly GCC . In addition, under ER stress in vivo, we observe simultaneous induction of IRE1α and 5′-tRH-Gly GCC expression in mouse organs and a distantly related organism, Cryptococcus neoformans . Thus, collectively, our findings indicate an evolutionarily conserved function for IRE1α-generated 5′-tRH-Gly GCC in cellular adaptation upon ER stress. RNA fragments derived from cleaved transfer RNAs play roles in gene regulation and cell proliferation. Here, the authors report that upon ER stress, an ER ribonuclease produces a specific tRNA fragment that promotes cancer cell proliferation and modulates mRNA alternative splicing.

Background The transcription factor orthodenticle homeobox 2 (OTX2) has critical functions in brain and eye development, and its mutations in humans are related to retinal diseases, such as ocular coloboma and microphthalmia. However, the regulatory mechanisms of OTX2 are poorly identified. Objective The identification of JNK1 as an OTX2 regulatory protein through the protein interaction and phosphorylation. Methods To identify the binding partner of OTX2, we performed co-immunoprecipitation and detected with a pooled antibody that targeted effective kinases. The protein interaction between JNK1 and OTX2 was identified with the co-immunoprecipitation and immunocytochemistry. In vivo and in vitro kinase assay of JNK1 was performed to detect the phosphorylation of OTX2 by JNK1. Results JNK1 directly interacted with OTX2 through the transactivation domain at the c-terminal region. The protein–protein interaction and co-localization between JNK1 and OTX2 were further validated in the developing P0 mouse retina. In addition, we confirmed that the inactivation of JNK1 K55N mutant significantly reduced the JNK1-mediated phosphorylation of OTX2 by performing an immune complex protein kinase assay. Conclusion c-Jun N-terminal kinase 1 (JNK1) phosphorylates OTX2 transcription factor through the protein–protein interaction.

Transfer RNA halves (tRHs) have various biological functions. However, the biogenesis of specific 5'-tRHs under certain conditions remains unknown. Here, we report that inositol-requiring enzyme 1α (IRE1α) cleaves the anticodon stem-loop region of tRNA to produce 5'-tRHs (5'-tRH-Gly ) with highly selective target discrimination upon endoplasmic reticulum (ER) stress. Levels of 5'-tRH-Gly positively affect cancer cell proliferation and modulate mRNA isoform biogenesis both in vitro and in vivo; these effects require co-expression of two nuclear ribonucleoproteins, HNRNPM and HNRNPH2, which we identify as binding proteins of 5'-tRH-Gly . In addition, under ER stress in vivo, we observe simultaneous induction of IRE1α and 5'-tRH-Gly expression in mouse organs and a distantly related organism, Cryptococcus neoformans. Thus, collectively, our findings indicate an evolutionarily conserved function for IRE1α-generated 5'-tRH-Gly in cellular adaptation upon ER stress.