Improved Meet-in-the-Middle Attacks on Crypton and mCrypton

( Jingyi Cui ),( Jiansheng Guo ),( Yanyan Huang ),( Yipeng Liu ) 한국인터넷정보학회 2017 KSII Transactions on Internet and Information Syst Vol.11 No.5

Crypton is a SP-network block cipher that attracts much attention because of its excellent performance on hardware. Based on Crypton, mCrypton is designed as a lightweight block cipher suitable for Internet of Things (IoT) and Radio Frequency Identification (RFID). The security of Crypton and mCrypton under meet-in-the-middle attack is analyzed in this paper. By analyzing the differential properties of cell permutation, several differential characteristics are introduced to construct generalized δ-sets. With the usage of a generalized δ-set and differential enumeration technique, a 6-round meet-in-the-middle distinguisher is proposed to give the first meet-in-the-middle attack on 9-round Crypton-192 and some improvements on the cryptanalysis of 10-round Crypton-256 are given. Combined with the properties of nibble permutation and substitution, an improved meet-in-the-middle attack on 8-round mCrypton is proposed and the first complete attack on 9-round mCrypton-96 is proposed.

Towards an Efficient and Secure Online Digital Rights Management Scheme in Cloud Computing

Huang Qinlong,Ma Zhaofeng,Fu Jingyi,Yang Yixian,Niu Xinxin 보안공학연구지원센터 2014 International Journal of Security and Its Applicat Vol.8 No.1

Secure DRM Scheme Supporting Dynamic Authorization Using Attribute-Based Encryption

Fu Jingyi,Ma Zhaofeng,Huang Qinlong,Yang Yixian 보안공학연구지원센터 2014 International Journal of Security and Its Applicat Vol.8 No.4

Comprehensive evaluation of cleaner production in thermal power plants based on an improved least squares support vector machine model

Minquan Ye,Jingyi Sun,Shenhai Huang 대한환경공학회 2019 Environmental Engineering Research Vol.24 No.4

In order to alleviate the environmental pressure caused by production process of thermal power plants, the application of cleaner production is imperative. To estimate the implementation effects of cleaner production in thermal plants and optimize the strategy duly, it is of great significance to take a comprehensive evaluation for sustainable development. In this paper, a hybrid model that integrated the analytic hierarchy process (AHP) with least squares support vector machine (LSSVM) algorithm optimized by grid search (GS) algorithm is proposed. Based on the establishment of the evaluation index system, AHP is employed to pre-process the data and GS is introduced to optimize the parameters in LSSVM, which can avoid the randomness and inaccuracy of parameters’ setting. The results demonstrate that the combined model is able to be employed in the comprehensive evaluation of the cleaner production in the thermal power plants.

A novel immune-related LncRNA prognostic signature for cutaneous melanoma

Hu Nan,Huang Cancan,He Yancheng,Li Shuyang,Yuan Jingyi,Zhong Guishu,Chen Yan 대한독성 유전단백체 학회 2024 Molecular & cellular toxicology Vol.20 No.2

Backgrounds Among tumor microenvironment, the immune components in it have an important influence on gene expression and clinical efficacy. We aim to find out the role of those in skin cutaneous melanoma (SKCM). Objectives Gene expression profile and homologous clinical information of SKCM patients were obtained by TCGA (The Cancer Genome Atlas) and UCSC Toil. SsGSEA method was used to evaluate the immune cell infiltration of 468 TCGA-SKCM samples divided into high immune cell infiltration group (HICI) and low immune cell infiltration group (LICI). We used the Edger packet to conduct difference analysis on normal samples (GTEx) and cancer samples (TCGA), and combined it with the difference of the HICI group and LICI group, to find out the common differential expression of lncRNA in both groups. The prognostic value of immune-related lncRNAs was studied by univariate Cox, Lasso-Cox and multivariate Cox regression analysis, and a prognostic model was established. C index and calibration diagram were used to judge the accuracy of the model, and DCA was used to judge the net benefit. Results Six prognostic markers of immune-related lncRNA genes were established, which could be used as independent prognostic factors. The net benefit and prediction accuracy are significantly higher than TNM Stage. Conclusion The prognostic model identified in this study is a reliable biomarker for SKCM. The Nomogram survival prediction model based on it is a reliable way to predict the median survival time of patients, which may lay the foundation for future treatment of this disease. Backgrounds Among tumor microenvironment, the immune components in it have an important influence on gene expression and clinical efficacy. We aim to find out the role of those in skin cutaneous melanoma (SKCM). Objectives Gene expression profile and homologous clinical information of SKCM patients were obtained by TCGA (The Cancer Genome Atlas) and UCSC Toil. SsGSEA method was used to evaluate the immune cell infiltration of 468 TCGA-SKCM samples divided into high immune cell infiltration group (HICI) and low immune cell infiltration group (LICI). We used the Edger packet to conduct difference analysis on normal samples (GTEx) and cancer samples (TCGA), and combined it with the difference of the HICI group and LICI group, to find out the common differential expression of lncRNA in both groups. The prognostic value of immune-related lncRNAs was studied by univariate Cox, Lasso-Cox and multivariate Cox regression analysis, and a prognostic model was established. C index and calibration diagram were used to judge the accuracy of the model, and DCA was used to judge the net benefit. Results Six prognostic markers of immune-related lncRNA genes were established, which could be used as independent prognostic factors. The net benefit and prediction accuracy are significantly higher than TNM Stage. Conclusion The prognostic model identified in this study is a reliable biomarker for SKCM. The Nomogram survival prediction model based on it is a reliable way to predict the median survival time of patients, which may lay the foundation for future treatment of this disease.

Coffee grounds derived sulfur and nitrogen dual-doped porous carbon for the cathode material of lithium‑sulfur batteries

Wen Yating,Wang Xiaobin,Huang Jingyi,Li Yu,Li Tao,Ren Baozeng 한국탄소학회 2023 Carbon Letters Vol.33 No.4

The development of functional carbon materials using waste biomass as raw materials is one of the research hotspots of lithium-sulfur batteries in recent years. In this work, used a natural high-quality carbon source—coffee grounds, which contain more than 58% carbon and less than 1% ash. Honeycomb-like S and N dual-doped graded porous carbon (SNHPC) was successfully prepared by hydrothermal carbonization and chemical activation, and the amount of thiourea used in the activation process was investigated. The prepared SNHPC showed excellent electrochemical energy storage characteristics. For example, SNHPC-2 has a large pore volume (1.85 cm3·g−1), a high mesoporous ratio (36.76%), and a synergistic effect (S, N interaction). As the cathode material of lithium-sulfur batteries, SNHPC-2/S (sulfur content is 71.61%) has the highest specific capacity. Its initial discharge-specific capacity at 0.2 C is 1106.7 mAh·g−1, and its discharge-specific capacity after 200 cycles is still as high as 636.5 mAh·g−1.

Flavonoids in Resina Draconis protect against pulmonary fibrosis via the TGF‑β1/NOTCH1 pathway

Liteng Yang,Xin Liu,Ning Zhang,Gaohui Wu,Lifang Chen,Jingyi Xu,Xi Ren,Xiaoming Jiang,Zhijing Huang 대한독성 유전단백체 학회 2020 Molecular & cellular toxicology Vol.16 No.2

Background It is known that flavonoids in Resina Draconis (FRD) have anti-inflammatory and analgesic effects, but the function and mechanisms of FRD against pulmonary fibrosis remain unknown. Objective The study aimed to study the effect and mechanism of FRD on pulmonary fibrosis. Methods Pulmonary fibroblasts were isolated and identified. After treatment with transforming growth factor (TGF)-β1 and FRD-containing serum, expressions of TGF-β1, Jagged1, Notch1, alpha-smooth muscle actin, and collagen I were examined using real-time quantitative PCR and Western blot. Besides, the related proteins were verified in rats with bleomycin-induced pulmonary fibrosis. Results We successfully isolated and identified pulmonary fibroblasts and proved that FRD-containing serum inhibits proliferation and downregulates Notch1 expression in TGF-β1-induced fibroblasts. Moreover, our results indicate that FRD might alleviate pulmonary fibrosis via the Jagged1/Notch1 signaling pathways in vivo. Conclusion Flavonoids in Resina Draconis might play a key role in pulmonary fibrosis via critical pathways, especially the TGF-β1 and NOTCH1 signaling pathways.