Event-Based Optimal Stealthy False Data-Injection Attacks Against Remote State Estimation Systems.

Security is a crucial issue for cyber-physical systems, and has become a hot topic up to date. From the perspective of malicious attackers, this article aims to devise an efficient scheme on false data-injection (FDI) attacks such that the performance on remote state estimation is degraded as much as possible. First, an event-based stealthy FDI attack mechanism is introduced to selectively inject false data while evading a residual-based anomaly detector. Compared with some existing methods, the main advantage of this mechanism is that it decides when to launch the FDI attacks dynamically according to real-time residuals. Second, the state estimation error covariance of the compromised system is used to evaluate the performance degradation under FDI attacks, and the larger the state estimation error covariance, the more the performance degradation. Moreover, under attack stealthiness constraints, an optimal strategy is presented to maximize the trace of the state estimation error covariance. Finally, simulation experiments are carried out to illustrate the superiority of the proposed method compared with some existing ones.

Stability of networked control systems: A Lyapunov-Krasovskii functional plus approach.

This paper is concerned with stability for networked control systems with a transmission delay and data packet dropouts. A hybrid model is formulated for the networked control systems to separate the constant delay and data packet dropouts, and a stability theorem is established for the hybrid model. Based on the stability theorem, a Lyapunov-Krasovskii functional plus (LKFP) approach is proposed to revolutionize the normal Lyapunov-Krasovskii functional approach. By fully employing the system information to construct an LKFP and by exploiting integral equations of the hybrid model to deal with the derivative of the LKFP, new stability results are obtained. Finally, numerical examples illustrate that the stability results are of less conservatism than some existing ones.

Stealthy false data injection attacks with resource constraints against multi-sensor estimation systems.

This paper mainly investigates how to maximally degrade estimation performance of a cyber-physical system under limited resource. A stealthy false data injection (FDI) attack scheme is proposed to only attack partial sensor channels of a multi-sensor estimation system. The attack stealthiness condition and the compromised estimation error covariance are respectively derived, and then the stealthy attack problem is formed as a constrained optimization problem. An explicit solution of the optimal attack strategy is given and proven. Furthermore, the relationship between the compromised estimation error covariance and the attacked sensor is analyzed, and then the sensor selection principle is derived to decide which sensor channel should be attacked. Finally, two numerical simulation examples are provided to confirm the theoretical analysis results.

Reachability Analysis of Cyber-Physical Systems Under Stealthy Attacks.

This article studies the reachable set of cyber-physical systems subject to stealthy attacks with the Kullback-Leibler divergence adopted to describe the stealthiness. The reachable set is defined as the set in which both the system state and the estimation error of the Kalman filter reside with a certain probability. The necessary and sufficient conditions of the reachable set being unbounded are given for the finite and infinite time cases, respectively. When the reachable set is bounded, an ellipsoidal outer approximation is obtained by solving a convex optimization problem. An application of this approximation to the safety evaluation is also given. A numerical simulation of an unmanned ground vehicle is presented to demonstrate the effectiveness of the proposed approach.

Mechanism of Fei-Xian Formula in the Treatment of Pulmonary Fibrosis on the Basis of Network Pharmacology Analysis Combined with Molecular Docking Validation.

OBJECTIVE: This study aimed to clarify the mechanism of Fei-Xian formula (FXF) in the treatment of pulmonary fibrosis based on network pharmacology analysis combined with molecular docking validation. METHODS: Firstly, ingredients in FXF with pharmacological activities, together with specific targets, were identified based on the BATMA-TCM and TCMSP databases. Then, targets associated with pulmonary fibrosis, which included pathogenic targets as well as those known therapeutic targets, were screened against the CTD, TTD, GeneCards, and DisGeNet databases. Later, Cytoscape was employed to construct a candidate component-target network of FXF for treating pulmonary fibrosis. In addition, for nodes within the as-constructed network, topological parameters were calculated using CytoHubba plug-in, and the degree value (twice as high as the median degree value for all the nodes) was adopted to select core components as well as core targets of FXF for treating pulmonary fibrosis, which were subsequently utilized for constructing the core network. Furthermore, molecular docking study was carried out on those core active ingredients together with the core targets using AutoDock Vina for verifying results of network pharmacology analysis. At last, OmicShare was employed for enrichment analysis of the core targets. RESULTS: Altogether 12 active ingredients along with 13 core targets were identified from our constructed core component-target network of FXF for the treatment of pulmonary fibrosis. As revealed by enrichment analysis, the 13 core targets mostly concentrated in regulating biological functions, like response to external stimulus (from oxidative stress, radiation, UV, chemical substances, and virus infection), apoptosis, cell cycle, aging, immune process, and protein metabolism. In addition, several pathways, like IL-17, AGE-RAGE, TNF, HIF-1, PI3K-AKT, NOD-like receptor, T/B cell receptor, and virus infection-related pathways, exerted vital parts in FXF in the treatment of pulmonary fibrosis. CONCLUSIONS: FXF can treat pulmonary fibrosis through a "multicomponent, multitarget, and multipathway" mean. Findings in this work lay foundation for further exploration of the FXF mechanism in the treatment of pulmonary fibrosis.

Molecular mechanisms of An-Chuan Granule for the treatment of asthma based on a network pharmacology approach and experimental validation.

An-Chuan Granule (ACG), a traditional Chinese medicine (TCM) formula, is an effective treatment for asthma but its pharmacological mechanism remains poorly understood. In the present study, network pharmacology was applied to explore the potential mechanism of ACG in the treatment of asthma. The tumor necrosis factor (TNF), Toll-like receptor (TLR), and Th17 cell differentiation-related, nucleotide-binding oligomerization domain (NOD)-like receptor, and NF-kappaB pathways were identified as the most significant signaling pathways involved in the therapeutic effect of ACG on asthma. A mouse asthma model was established using ovalbumin (OVA) to verify the effect of ACG and the underlying mechanism. The results showed that ACG treatment not only attenuated the clinical symptoms, but also reduced inflammatory cell infiltration, mucus secretion and MUC5AC production in lung tissue of asthmatic mice. In addition, ACG treatment notably decreased the inflammatory cell numbers in bronchoalveolar lavage fluid (BALF) and the levels of pro-inflammatory cytokines (including IL-6, IL-17, IL-23, TNF-alpha, IL-1beta and TGF-beta) in lung tissue of asthmatic mice. In addition, ACG treatment remarkably down-regulated the expression of TLR4, p-P65, NLRP3, Caspase-1 and adenosquamous carcinoma (ASC) in lung tissue. Further, ACG treatment decreased the expression of receptor-related orphan receptor (RORγt) in lung tissue but increased that of Forkhead box (Foxp3). In conclusion, the above results demonstrate that ACG alleviates the severity of asthma in a ´multi-compound and multi-target' manner, which provides a basis for better understanding of the application of ACG in the treatment of asthma.

Shi Xiao San ameliorates the development of adenomyosis in an ICR mouse model.

The use of Shi Xiao San (SXS), composed of Pollen Typhae Angustifoliae and Faeces Trogopterori, can be traced back to the Song dynasty. Traditionally, SXS has been used to treat irregular menstruation, pelvic pain, progressive dysmenorrhea, and postpartum lochiorrhea. The management of adenomyosis (AM) is challenging and to the best of our knowledge there are currently no effective therapeutic strategies. Therefore, the aim of the present study was to investigate the effect of SXS on the development of adenomyosis in a mouse model. AM was induced in 60 neonatal female ICR mice by administering tamoxifen; 10 randomly selected mice were used for model identification via histopathological examination and 10 mice treated with the solvent alone were used as the normal controls. A total of sixty days after birth, the mice treated with AM were randomly divided into four groups and administered one of the following treatments: Low-dose SXS (55 mg/kg); high-dose SXS (110 mg/kg); danazol (1 mg/20 g body weight); or no treatment (model group); at the same time, the normal control group received no treatment. After 2 months of treatment, hotplate and tail-flick tests were used to assess the response to noxious thermal stimuli in the mice, and plasma samples were collected to measure corticosterone levels. Hematoxylin and eosin staining scores of myometrial infiltration and the number of AM nodules were evaluated. Furthermore, the expression of genes associated with AM-related pain was also analyzed. The results from the present study indicated that treatment with SXS decreased myometrial infiltration, alleviated generalized hyperalgesia, and lowered plasma corticosterone levels in mice with induced AM. These findings suggest that SXS effectively attenuated the development of AM, and may serve as a promising treatment approach for AM treatment.

Yupingfeng Pulvis Regulates the Balance of T Cell Subsets in Asthma Mice.

Background. Yupingfeng Pulvis (HFBP) had played an active role in many diseases, especially respiratory tract infections. Exploring the possible prevention mechanism of HFBP may provide new ideas in clinical applications for this well-known herbal formula. Purpose. To study the possible mechanisms of therapy effect of HFBP on asthma mice via regulating the balance of Tregs and Th17 cells. Method. The female BALB/c mice were divided into five groups: control group, model group, prednisone (5.5 mg/kg) group, and 22 g/kg HFBP and 44 g/kg HFBP groups. Ovalbumin was used to make the asthma model of mice; the drug was ig administered daily after atomization for consecutive 15 d. The mice were killed after the last administration. The paraffin-embedded tissue sections of the lungs were stained by H&E. Tregs and Th17 cells in bronchoalveolar lavage fluid were detected by flow cytometry. IL-4, TGF-ß, and TNF-α in the serum were detected by ELISA assay. Results. HFBP could alleviate the inflammation in the lung tissue of mice, decrease the proportion of Th17 cells, and increase the proportion of Treg cells in bronchoalveolar lavage fluid. HFBP could decrease IL-4 and TNF-α level and increase TGF-ß level in blood. Conclusion. HFBP could treat the asthma through impacting the balance of Th17 cells and Treg cells as well as the levels of related inflammatory cytokines in asthma mice.

Design and Performance Analysis of Incremental Networked Predictive Control Systems.

This paper is concerned with the design and performance analysis of networked control systems with network-induced delay, packet disorder, and packet dropout. Based on the incremental form of the plant input-output model and an incremental error feedback control strategy, an incremental networked predictive control (INPC) scheme is proposed to actively compensate for the round-trip time delay resulting from the above communication constraints. The output tracking performance and closed-loop stability of the resulting INPC system are considered for two cases: 1) plant-model match case and 2) plant-model mismatch case. For the former case, the INPC system can achieve the same output tracking performance and closed-loop stability as those of the corresponding local control system. For the latter case, a sufficient condition for the stability of the closed-loop INPC system is derived using the switched system theory. Furthermore, for both cases, the INPC system can achieve a zero steady-state output tracking error for step commands. Finally, both numerical simulations and practical experiments on an Internet-based servo motor system illustrate the effectiveness of the proposed method.

Locally instilled tumor necrosis factor α antisense oligonucleotide contributes to inhibition of TH 2-driven pulmonary fibrosis via induced CD4+ CD25+ Foxp3+ regulatory T cells.

BACKGROUND: Anti-tumor necrosis factor α therapeutics has the potential to alleviate pulmonary fibrosis. However, the systemic administration of anti-tumor necrosis factor α agents has brought about contradictory results and frequent adverse effects, such as infections, immunogenicity and malignancies, amongst others. In the present study, we attempted the local administration of tumor necrosis factor α antisense oligonucleotide and evaluated the treatment effects on pulmonary fibrosis in a bleomycin-induced pulmonary fibrosis mouse model. METHODS: Flow cytometry for regulatory T cells, reverse transcriptase-polymerase chain reaction for crucial gene expression, western blotting for crucial protein products, immunofluorescent analysis for T(H)2 cells and myofibroblasts, as well as histology analysis for pathological examination, were used. RESULTS: By local administration of tumor necrosis factor α antisense oligonucleotide, we investigated whether tumor necrosis factor α expression in epithelial cells was significantly inhibited and extracellular matrix overexpression was dramatically reduced. These treatment effects were associated with induced regulatory T cells, reduced T(H)2 cells and generally decreased T(H)2-type cytokine expression. Systemic immunosuppression was not triggered by local antisense oligonucleotide administration because the proportion of regulatory T cells in the blood, thymus or spleen was not affected. CONCLUSIONS: These findings demonstrate that local administration of tumor necrosis factor α antisense oligonucleotide contributes to anti-fibrotic action via a sustained up-regulated level of regulatory T cells, which inhibits T(H)2-biased responses, pro-fibrotic mediator production and extracellular matrix deposition, with no systemic immunosupression associated with systemically induced regulatory T cells.

Locally instilled tumor necrosis factor-α antisense oligonucleotide inhibits allergic inflammation via the induction of Tregs.

BACKGROUND: Anti-tumor necrosis factor (TNF)-α therapeutics has the potential to alleviate allergic inflammation. However, in previous studies, the systemic administration of anti-TNF-α agents was frequently accompanied by many adverse effects, such as infection, immunogenicity and malignancy. Efforts are made in the present study to evaluate whether or not local administration of TNF-α antisense oligonucleotide would inhibit allergic airway inflammation and influence systemic immune responses in an ovalbumin-induced asthmatic murine model. METHODS: The treatment effects of TNF-α antisense oligonucleotide on mice, as well as the alternative proportion of regulatory T cells and T(H) 2 cells, were examined and compared with untreated mice. RESULTS: Local administration of TNF-α antisense oligonucleotide resulted in significantly inhibited TNF-α expression, remarkably decreased inflammatory cell infiltration and dramatically reduced mucus hypersecretion. These treatment effects were associated with induced CD4(+) CD25(+) Foxp3(+) regulatory T cells, reduced T(H) 2 cells and generally decreased T(H) 2-type cytokines expression in bronchoalveolar lavage fluid. Systemic immunosuppression was not triggered by local antisense oligonucleotide administration because the proportion of CD4(+) CD25(+) Foxp3(+) regulatory T cells in the blood, thymus or spleen was not affected. Attenuated 4-1BBL expression was likely involved in the alternative proportion of T cells. CONCLUSIONS: These findings demonstrate that local administration of TNF-α antisense oligonucleotide contributes to anti-inflammatory action via the enhancement of regulatory T cells-mediated immune tolerance, which is not accompanied by systemic immunosuppression associated with systemically-induced regulatory T cells.

Synthesis and antitumor activity of 1,2,4-triazoles having 1,4-benzodioxan fragment as a novel class of potent methionine aminopeptidase type II inhibitors.

A series of 1,2,4-triazole derivatives containing 1,4-benzodioxan (5a-5q) have been designed, synthesized, structurally determined, and their biological activities were evaluated as potential MetAP2 inhibitors. All the synthesized compounds were first reported. Among the compounds, compound 5k showed the most potent biological activity against HEPG2 cancer cell line (IC(50)=0.81 µM for HEPG2 and IC(50)=0.93 µM for MetAP2), which was comparable to the positive control. Docking simulation by positioning compound 5k into the MetAP2 structure active site was performed to explore the possible binding model. The results of apoptosis and Western-blot assay demonstrated that compound 5k possessed good antitumor activity against HEPG2 cancer cell line. Therefore, compound 5k with potent inhibitory activity in tumor growth inhibition may be a potential antitumor agent against HEPG2 cancer cell.