• Title/Summary/Keyword: tor network

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Tor Network Website Fingerprinting Using Statistical-Based Feature and Ensemble Learning of Traffic Data (트래픽 데이터의 통계적 기반 특징과 앙상블 학습을 이용한 토르 네트워크 웹사이트 핑거프린팅)

  • Kim, Junho;Kim, Wongyum;Hwang, Doosung
    • KIPS Transactions on Software and Data Engineering
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    • v.9 no.6
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    • pp.187-194
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    • 2020
  • This paper proposes a website fingerprinting method using ensemble learning over a Tor network that guarantees client anonymity and personal information. We construct a training problem for website fingerprinting from the traffic packets collected in the Tor network, and compare the performance of the website fingerprinting system using tree-based ensemble models. A training feature vector is prepared from the general information, burst, cell sequence length, and cell order that are extracted from the traffic sequence, and the features of each website are represented with a fixed length. For experimental evaluation, we define four learning problems (Wang14, BW, CWT, CWH) according to the use of website fingerprinting, and compare the performance with the support vector machine model using CUMUL feature vectors. In the experimental evaluation, the proposed statistical-based training feature representation is superior to the CUMUL feature representation except for the BW case.

Complement C5a Receptor Signaling in Macrophages Enhances Trained Immunity Through mTOR Pathway Activation

  • Eun-Hyeon Shim;Sae-Hae Kim;Doo-Jin Kim;Yong-Suk Jang
    • IMMUNE NETWORK
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    • v.24 no.4
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    • pp.24.1-24.8
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    • 2024
  • Complement C5a receptor (C5aR) signaling in immune cells has various functions, inducing inflammatory or anti-inflammatory responses based on the type of ligand present. The Co1 peptide (SFHQLPARSRPLP) has been reported to activate C5aR signaling in dendritic cells. We investigated the effect of C5aR signaling via the Co1 peptide on macrophages. In peritoneal macrophages, the interaction between C5aR and the Co1 peptide activated the mTOR pathway, resulting in the production of pro-inflammatory cytokines. Considering the close associations of mTOR signaling with IL-6 and TNF-α in macrophage training, our findings indicate that the Co1 peptide amplifies β-glucan-induced trained immunity. Overall, this research highlights a previously underappreciated aspect of C5aR signaling in trained immunity, and posits that the Co1 peptide is a potentially effective immunomodulator for enhancing trained immunity.

Reconstruction and Exploratory Analysis of mTORC1 Signaling Pathway and Its Applications to Various Diseases Using Network-Based Approach

  • Buddham, Richa;Chauhan, Sweety;Narad, Priyanka;Mathur, Puniti
    • Journal of Microbiology and Biotechnology
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    • v.32 no.3
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    • pp.365-377
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    • 2022
  • Mammalian target of rapamycin (mTOR) is a serine-threonine kinase member of the cellular phosphatidylinositol 3-kinase (PI3K) pathway, which is involved in multiple biological functions by transcriptional and translational control. mTOR is a downstream mediator in the PI3K/Akt signaling pathway and plays a critical role in cell survival. In cancer, this pathway can be activated by membrane receptors, including the HER (or ErbB) family of growth factor receptors, the insulin-like growth factor receptor, and the estrogen receptor. In the present work, we congregated an electronic network of mTORC1 built on an assembly of data using natural language processing, consisting of 470 edges (activations/interactions and/or inhibitions) and 206 nodes representing genes/proteins, using the Cytoscape 3.6.0 editor and its plugins for analysis. The experimental design included the extraction of gene expression data related to five distinct types of cancers, namely, pancreatic ductal adenocarcinoma, hepatic cirrhosis, cervical cancer, glioblastoma, and anaplastic thyroid cancer from Gene Expression Omnibus (NCBI GEO) followed by pre-processing and normalization of the data using R & Bioconductor. ExprEssence plugin was used for network condensation to identify differentially expressed genes across the gene expression samples. Gene Ontology (GO) analysis was performed to find out the over-represented GO terms in the network. In addition, pathway enrichment and functional module analysis of the protein-protein interaction (PPI) network were also conducted. Our results indicated NOTCH1, NOTCH3, FLCN, SOD1, SOD2, NF1, and TLR4 as upregulated proteins in different cancer types highlighting their role in cancer progression. The MCODE analysis identified gene clusters for each cancer type with MYC, PCNA, PARP1, IDH1, FGF10, PTEN, and CCND1 as hub genes with high connectivity. MYC for cervical cancer, IDH1 for hepatic cirrhosis, MGMT for glioblastoma and CCND1 for anaplastic thyroid cancer were identified as genes with prognostic importance using survival analysis.

Inhibitors of AKT Signaling Pathway and their Application

  • WONG, Chin Piow
    • Proceedings of the Plant Resources Society of Korea Conference
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    • 2019.04a
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    • pp.33-33
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    • 2019
  • The AKT signaling pathway is a highly regulated cell signaling system that forms a network with other cell signaling pathways. Hence, the AKT signaling pathway mediates several important cellular functions that include cell survival, proliferation, cell migration, and et cetera. Irregularities that led overactive AKT signaling have been linked to many diseases such as cancer and metabolic-associated diseases. Hence, modulating the overactive AKT signaling pathway via inhibitor is a tantalizing prospect for treatment of cancer and metabolic-associated diseases. Two inhibitors of the AKT signaling pathway will be presented in this symposium: 1) Bisleuconothine A (BisA), a bisindole alkaloid that inhibit autophagy and 2) Ceramicine B (CerB), a limonoid that inhibit adipogenesis. The first topic is on a bisindole alkaloid, BisA and its mechanism in inducing autophagosome formation in lung cancer cell line, A549.(1) Since most autophagy inducing agents generally induce apoptosis, we found that BisA does not induce apoptosis even in high dose. BisA up-regulation of LC3 lipidation is achieved through mTOR inactivation. The phosphorylation of PRAS40, a mTOR repressor was suppressed by BisA. This observation suggested that BisA inactivates mTOR via suppression of PRAS40 phosphorylation. Interestingly, the phosphorylation of AKT, an upstream regulator of PRAS40 phosphorylation was also down-regulated by BisA. These findings suggested that Bis-A induces autophagosomes formation by interfering with the AKT-mTOR signaling pathway. The second topic is on CerB and its mechanism in inhibiting adipogenesis in preadipocytes cell line, MC3T3-G2/PA6.(2,3) CerB inhibits the phosphorylation of protein kinase B (AKT) at the Thr308 position but not the Ser473. Consequently, the phosphorylation of FOXO3 which is located downstream of AKT is also inhibited. Considering that FOXO3 is an important regulator of PPARγ which is a key factor in adipogenesis, CerB may inhibit adipogenesis via the AKT-FOXO3 signaling pathway. Taken together, both BisA and CerB highlighted the potential of AKT signaling pathway modulation as an approach to induce autophagy and inhibit the formation of fat cells, respectively.

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Mychonastes sp. 246 Suppresses Human Pancreatic Cancer Cell Growth via IGFBP3-PI3K-mTOR Signaling

  • Hyun-Jin Jang;Soon Lee;Eunmi Hong;Kyung June Yim;Yong-Soo Choi;Ji Young Jung;Z-Hun Kim
    • Journal of Microbiology and Biotechnology
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    • v.33 no.4
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    • pp.449-462
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    • 2023
  • Previously, we confirmed that Mychonastes sp. 246 methanolic extract (ME) markedly reduced the viability of BxPC-3 human pancreatic cancer cells. However, the underlying mechanism ME remained unclear. Hence, we attempted to elucidate the anticancer effect of ME on BxPC-3 human pancreatic cancer cells. First, we investigated the components of ME and their cytotoxicity in normal cells. Then, we confirmed the G1 phase arrest mediated growth inhibitory effect of ME using a cell counting assay and cell cycle analysis. Moreover, we found that the migration-inhibitory effect of ME using a Transwell migration assay. Through RNA sequencing, Gene Ontology-based network analysis, and western blotting, we explored the intracellular mechanisms of ME in BxPC-3 cells. ME modulated the intracellular energy metabolism-related pathway by altering the mRNA levels of IGFBP3 and PPARGC1A in BxPC-3 cells and reduced PI3K and mTOR phosphorylation by upregulating IGFBP3 and 4E-BP1 expression. Finally, we verified that ME reduced the growth of three-dimensional (3D) pancreatic cancer spheroids. Our study demonstrates that ME suppresses pancreatic cancer proliferation through the IGFBP3-PI3K-mTOR signaling pathway. This is the first study on the anticancer effect of the ME against pancreatic cancer, suggesting therapeutic possibilities and the underlying mechanism of ME action.

Nonlinear Friction Compensator Design for Mechatronics Servo Systems Using Neural Network

  • Chung, Dae-won;Nobuhiro Kyra;Hiromu Gotanda
    • Transactions on Control, Automation and Systems Engineering
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    • v.3 no.2
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    • pp.111-116
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    • 2001
  • A neural network compensator for stick-slip friction phenomena in meashartonics servo systems is practically proposed to supplement the traditionally available position and velocity control loops for precise motion control. The neural network compensa-tor plays the role of canceling the effect of nonlinear slipping friction force. It works robustly and effectively in a real control system. This enables the mechatronics servo systems to provide more precise control in the digital computer. It was confirmed that the con-trol accuracy is improved near zero velocity and points of changing the moving direction through numerical simulation. However, asymptotic property on the steady state error of the normal operation points is guaranteed by the integral term of traditional velocity loop controller.

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Classification of Service Types using Website Fingerprinting in Anonymous Encrypted Communication Networks (익명 암호통신 네트워크에서의 웹사이트 핑거프린팅을 활용한 서비스 유형 분류)

  • Koo, Dongyoung
    • KIPS Transactions on Computer and Communication Systems
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    • v.11 no.4
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    • pp.127-132
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    • 2022
  • An anonymous encrypted communication networks that make it difficult to identify the trace of a user's access by passing through several virtual computers and/or networks, such as Tor, provides user and data privacy in the process of Internet communications. However, when it comes to abuse for inappropriate purposes, such as sharing of illegal contents, arms trade, etc. through such anonymous encrypted communication networks, it is difficult to detect and take appropriate countermeasures. In this paper, by extending the website fingerprinting technique that can identify access to a specific site even in anonymous encrypted communication, a method for specifying and classifying service types of websites for not only well-known sites but also unknown sites is proposed. This approach can be used to identify hidden sites that can be used for malicious purposes.

Network Structure and Dextran Formation of Jeungpyeon Made with Yeast Starter

  • Hahn, Young-Sook;Lee, Hae-Eun;Park, Ju-Yeon;Woo, Kyung-Ja
    • Food Science and Biotechnology
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    • v.15 no.1
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    • pp.77-81
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    • 2006
  • The dextransucrase activity of microorganisms which were identified as contributing to the fermentation of jeungpyeon made with yeast was measured. The dextran generated during fermentation was quantified and the viscosity changes were measured. The mechanism of network structure formation was clarified by observing the inside of the network structure over the fermentation periods ranging from 1 to 7 hr using scanning electron microscopy (SEM). The pH of jeungpyeon batter decreased significantly as the fermentation proceeded, whereas the viscosity increased. The identified lactic acid bacteria (LAB) were Leuconostoc mesenteroides subsp. mesenteroides, Pediococcus pentosaceus, Tetragenococcus halophilus, and Leuconostoc mesenteroides subsp. dextranicum. The yeast was identified as Saccharomyces cerevisiae A/Tor. Pretorien. The dextransucrase extracted from those microorganisms showed high activity. On the other hand, the amount of dextran generated from the batter increased significantly beyond 2 hr of fermentation, and the viscosity increment showed a similar trend. The SEM photos showed that the most homogeneous fine network structure was observed in the batter fermented for 2 hr. Therefore, we assumed that the dextran that was generated by microorganisms during fermentation interacted with the components of the batter to increase the stability of the network structure.

A Study on the Countermeasure of Cyber Attacks Using Anonymous Network (익명네트워크를 이용한 사이버공격에 대한 대응방안 연구)

  • Lee, Jung-Hyun;Ahn, Kwan-Joon;Park, Won-Hyung;Lim, Jong-In
    • Convergence Security Journal
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    • v.11 no.3
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    • pp.31-37
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    • 2011
  • Recently on tile network to ensure the anonymity of Mixed networking has been actively researched. It uses encrypted communications between Nodes and communications path is changed often to the attacker traceback and response, including the difficult thing is the reality. National institutions and infrastructure in these circumstances, the attack on the national level, if done on a large scale can be disastrous in. However, an anonymous network technology to cover up their own internet communication, it malicious form of Internet use by people who enjoy being continually updated and new forms of technology being developed is a situation continuously. In addition, attacks in the future application of these technologies is expected to continue to emerge. However, this reality does not deserve this thesis is prepared. In this paper, anonymously using a network to respond effectively to a cyber attack on the early detection research is to proceed.

Brain Somatic Mutations in Epileptic Disorders

  • Koh, Hyun Yong;Lee, Jeong Ho
    • Molecules and Cells
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    • v.41 no.10
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    • pp.881-888
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    • 2018
  • During the cortical development, cells in the brain acquire somatic mutations that can be implicated in various neurodevelopmental disorders. There is increasing evidence that brain somatic mutations lead to sporadic form of epileptic disorders with previously unknown etiology. In particular, malformation of cortical developments (MCD), ganglioglioma (GG) associated with intractable epilepsy and non-lesional focal epilepsy (NLFE) are known to be attributable to brain somatic mutations in mTOR pathway genes and others. In order to identify such somatic mutations presenting as low-level in epileptic brain tissues, the mutated cells should be enriched and sequenced with high-depth coverage. Nevertheless, there are a lot of technical limitations to accurately detect low-level of somatic mutations. Also, it is important to validate whether identified somatic mutations are truly causative for epileptic seizures or not. Furthermore, it will be necessary to understand the molecular mechanism of how brain somatic mutations disturb neuronal circuitry since epilepsy is a typical example of neural network disorder. In this review, we overview current genetic techniques and experimental tools in neuroscience that can address the existence and significance of brain somatic mutations in epileptic disorders as well as their effect on neuronal circuitry.