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Behavioral Response of Lasioderma serricorne to Materials from Cinnamomum camphora

Grain & Oil Science and technology 2018年第2期1卷 109-112页

作者： LYU Jianhua ZENG Shujing HUO Mingfei ZHANG Yupu KANG Yulong Engineering Research Center of Grain Storage and Security Ministry of Education School of Food Science and Technology Henan University of Technology

The attractiveness of Cinnamomum camphora(Laurales: Lauraceae) blocks and essential oil to Lasioderma serricorne(Fabricius)(Coleoptera: Anobiidae) adults was investigated. The results showed that the behavioral response values of L. serricorne adults to C. camphora blocks significantly increased with increasing doses above the dose of 0.8 g. The highest behavioral response values of L. serricorne adults were 93.33% to C. camphora blocks and 81.67% to C. camphora essential oil, respectively. C. camphora blocks had stronger attractiveness to L. serricorne adults than C. camphora oil. These results demonstrate that the effectiveness to control L. serricorne in practice of C. camphora blocks and C. camphora oil deserve to be further investigated.

关键词： Attractive potential Lasioderma serricorne Cinnamomum camphora Volatiles

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Identity-Based Encryption Tightly Secure Under Chosen-Ciphertext Attacks 24th

Identity-Based Encryption Tightly Secure Under Chosen-Cipher...

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24th Annual International Conference on Theory and Application of Cryptology and Information security, ASIACRYPT 2018

作者： Hofheinz, Dennis Jia, Dingding Pan, Jiaxin Karlsruhe Institute of Technology Karlsruhe Germany State Key Laboratory of Information Security Institute of Information Engineering CAS Beijing China Data Assurance and Communication Security Research Center IIE CAS Beijing China School of Cyber Security University of Chinese Academy of Sciences Beijing China

ISBN: (纸本)9783030033286

We propose the first identity-based encryption (IBE) scheme that is (almost) tightly secure against chosen-ciphertext attacks. Our scheme is efficient, in the sense that its ciphertext overhead is only seven group elements, three group elements more than that of the state-of-the-art passively (almost) tightly secure IBE scheme. Our scheme is secure in a multi-challenge setting, i.e., in face of an arbitrary number of challenge ciphertexts. The security of our scheme is based upon the standard symmetric external Diffie-Hellman assumption in pairing-friendly groups, but we also consider (less efficient) generalizations under weaker assumptions. © 2018, International Association for Cryptologic research.

关键词： security of data

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An algorithm for describing the convex and concave shape of protein surface 1

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4th International Conference of Pioneer Computer Scientists, Engineers and Educators, ICPCSEE 2018

作者： Wang, Wei Li, Keliang Lv, Hehe Sun, Lin Zhang, Hongjun Shi, Jinling Zhang, Shiguang Zhou, Yun Zhao, Yuan Xv, Jingjing Department of Computer Science and Technology College of Computer and Information Engineering Henan Normal University XinxiangHenan Province453007 China Laboratory of Computation Intelligence and Information Processing Engineering Technology Research Center for Computing Intelligence and Data Mining XinxiangHenan Province453007 China School of Aviation Engineering Anyang University AnyangHenan Province455000 China School of International Education Xuchang University XuchangHenan Province461000 China

ISBN: (数字)9789811322068

ISBN: (纸本)9789811322051

Protein surface plays a key role in many biological processes. Most proteins participate in the life activities of cells via binding to other proteins or ligand molecules. It is an important work to study protein structure and function by analyzing the protein surface shape. Based on the CX algorithm and the 2D fngerprint-base method, we proposed a FCX method to identify the morphology of bulges and depressions on the protein surface. The experimental results show that the FCX algorithm has a more desirable outcome than CX algorithm. The FCX algorithm has a higher correlation with the convex and concave features than CX values with solvent accessibility, solvent accessibility, and B-factor’s Pearson correlation coefficient. This result shows that the FCX algorithm can describe the shape of the protein surface residues more accurately than the CX algorithm. © Springer Nature Singapore Pte Ltd. 2018.

关键词： Proteins

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Understanding and Constructing AKE via Double-Key Key Encapsulation Mechanism 24th

Understanding and Constructing AKE via Double-Key Key Encaps...

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24th Annual International Conference on Theory and Application of Cryptology and Information security, ASIACRYPT 2018

作者： Xue, Haiyang Lu, Xianhui Li, Bao Liang, Bei He, Jingnan State Key Laboratory of Information Security Institute of Information Engineering Chinese Academy of Sciences Beijing China Data Assurance and Communication Security Research Center Chinese Academy of Sciences Beijing China School of Cyber Security University of Chinese Academy of Sciences Beijing China Chalmers University of Technology Gothenburg Sweden

ISBN: (纸本)9783030033286

Motivated by abstracting the common idea behind several implicitly authenticated key exchange (AKE) protocols, we introduce a primitive that we call double-key key encapsulation mechanism (2-key KEM). It is a special type of KEM involving two pairs of secret-public keys and satisfying some function and security property. Such 2-key KEM serves as the core building block and provides alternative approaches to simplify the constructions of AKE. To see the usefulness of 2-key KEM, we show how several existing constructions of AKE can be captured as 2-key KEM and understood in a unified framework, including widely used HMQV, NAXOS, Okamoto-AKE, and FSXY12-13 schemes. Then, we show (1) how to construct 2-key KEM from concrete assumptions, (2) how to adapt the classical Fujisaki-Okamoto transformation and KEM combiner to achieve the security requirement of 2-key KEM, (3) an elegant Kyber-AKE over lattice using the improved Fujisaki-Okamoto technique. © 2018, International Association for Cryptologic research.

关键词： Public key cryptography

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Corrigendum to “Quantitative estimation of the factors impacting spatiotemporal variation in NPP in the Dongting Lake wetlands using Landsat time series data for the last two decades” [Ecol. Indic. 135 (2022) 108544]

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Ecological Indicators 2022年 144卷

作者： Meng Zhang Naiquan Yuan Hui Lin Yang Liu Huaiqing Zhang Research Center of Forestry Remote Sensing & Information Engineering Central South University of Forestry & Technology Changsha 410004 China Key Laboratory of State Forestry Administration on Forest Resources Management and Monitoring in Southern Area Changsha 410004 China Key Laboratory of Forestry Remote Sensing Based Big Data & Ecological Security for Hunan Province Changsha 410004 China Hunan Academy of Geosciences Planning and Design Co. Ltd Changsha 410118 China Research Institute of Forest Resources Information Techniques Chinese Academy of Forestry Beijing 100091 China

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Multi-Keyword Search Guaranteeing Forward and Backward Privacy over Large-Scale Cloud data

Multi-Keyword Search Guaranteeing Forward and Backward Priva...

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2019 IEEE Global Communications Conference (GLOBECOM)

作者： Li Gong Hongwei Li Guowen Xu Xizhao Luo Mi Wen School of Computer Science and Engineering University of Electronic Science and Technology of China China CETC Big Data Research Institute Co. Ltd. Guiyang China Cyberspace Security Research Center Peng Cheng Laboratory Shenzhen China Science and Technology on Communication Security Laboratory Chengdu China School of Computer Science and Technology Soochow University Suzhou China School of Computer Science and Technology Shanghai University of Electric Power Shanghai China

ISBN: (数字)9781728109626

ISBN: (纸本)9781728109633

Using searchable encryption (SE), users' data can be outsourced to an untrusted server while ensuring privacy of both the queries and the data. Meanwhile, to efficiently support data updating, dynamic SE (DSE) has also been proposed and applied to a variety of scenarios. However, recent work shows that even with little information leakage on updated keywords, most of existing DSE schemes are also vulnerable to adaptative attacks breaking the privacy of the queries. To address this problem, several privacy-preserving DSE have been exploited to mitigate the two major privacy issues in the data update process: i.e., Forward privacy and Backward privacy. Nevertheless, it is still an open problem to support clients multi-keyword-based searching over dynamic cloud data. In reality, as a promising query requirement, it is assurance that the cost of all participants can be fundamentally reduced by implementing multi-keyword-based querying. To combat that, in this paper, we design the first multi-keyword based search proposals ensuring forward and backward privacy over dynamic cloud data. Specifically, we utilize Symmetric Hidden Vector Encryption (SHVE) as the underlying structure to build multi-keyword search protocol. Then, Bloom filter integrating with pseudo-random function will be further adopted to enhance query efficiency. The security analysis proves the high security of our model, and extensive experiments conducted on real-world data also demonstrate the practical performance of our proposed scheme.

关键词： data privacy Servers Encryption Indexes Privacy

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Nano Proteolysis Targeting Chimeras (PROTACs) with Anti-Hook Effect for Tumor Therapy

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Angewandte Chemie 2023年第37期135卷

作者： Ni-Yuan Zhang Da-Yong Hou Xing-Jie Hu Jian-Xiao Liang Man-Di Wang Zhang-Zhi Song Li Yi Zhi-Jia Wang Prof. Hong-Wei An Prof. Wanhai Xu Prof. Hao Wang CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety CAS Center for Excellence in Nanoscience National Center for Nanoscience and Technology (NCNST) Beijing 100190 China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of Sciences Beijing 100049 P. R. China Contribution: Conceptualization (lead) Data curation (lead) Methodology (lead) Project administration (lead) Writing - original draft (lead) Writing - review & editing (lead) Department of Urology Harbin Medical University Cancer Hospital Heilongjiang Key Laboratory of Scientific Research in Urology Harbin 150001 China NHC Key Laboratory of Molecular Probes and Targeted Diagnosis and Therapy Harbin Medical University Harbin 150001 China Henan Institute of Advanced Technology Zhengzhou University Zhengzhou 450052 China Contribution: Data curation (equal) Investigation (equal) Methodology (equal) Supervision (equal) Contribution: Formal analysis (equal) Investigation (equal) Methodology (equal) Supervision (equal) Contribution: Formal analysis (equal) Investigation (equal) Supervision (equal) Contribution: Investigation (equal) Methodology (equal) Supervision (equal) Contribution: Data curation (equal) Formal analysis (equal) Methodology (equal) Contribution: Conceptualization (lead) Data curation (lead) Project administration (lead) Supervision (lead) Writing - review & editing (lead) Contribution: Conceptualization (lead) Data curation (lead) Methodology (lead) Project administration (lead) Supervision (lead) Writing - review & editing (lead)

Proteolysis targeting chimera (PROTAC) is an emerging pharmacological modality with innovated post-translational protein degradation capabilities. However, off-target induced unintended tissue effects and intrinsic “hook effect” hinder PROTAC biotechnology to be maturely developed. Herein, an intracellular fabricated nano proteolysis targeting chimeras (Nano-PROTACs) modality with a center-spoke degradation network for achieving efficient dose-dependent protein degradation in tumor is reported. The PROTAC precursors are triggered by higher GSH concentrations inside tumor cells, which subsequently in situ self-assemble into Nano-PROTACs through intermolecular hydrogen bond interactions. The fibrous Nano-PROTACs can form effective polynary complexes and E3 ligases degradation network with multi-binding sites, achieving dose-dependent protein degradation with “anti-hook effect”. The generality and efficacy of Nano-PROTACs are validated by degrading variable protein of interest (POI) such as epidermal growth factor receptor (EGFR) and androgen receptor (AR) in a wide-range dose-dependent manner with a 95 % degradation rate and long-lasting potency up to 72 h in vitro. Significantly, Nano-PROTACs achieve in vivo dose-dependent protein degradation up to 79 % and tumor growth inhibition in A549 and LNCap xenograft mice models, respectively. Taking advantages of in situ self-assembly strategy, the Nano-PROTACs provide a generalizable platform to promote precise clinical translational application of PROTAC.

关键词： Nanomedicine PROTACs Peptide Self-Assembly Tumor

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Erratum to “High-Efficiency Min-Entropy Estimation Based on Neural Network for Random Number Generators”

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security and Communication Networks 2020年第1期2020卷

作者： Na Lv Tianyu Chen Shuangyi Zhu Jing Yang Yuan Ma Jiwu Jing Jingqiang Lin State Key Laboratory of Information Security Institute of Information Engineering Chinese Academy of Sciences Beijing 100093 *** Data Assurance and Communications Security Research Center Chinese Academy of Sciences Beijing 100093 *** School of Cyber Security University of Chinese Academy of Sciences Beijing 100093 *** China Information Technology Security Evaluation Center Beijing 100085 *** School of Computer Science and Technology University of Chinese Academy of Sciences Beijing 100093 ***

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Towards the Trust-Enhancements of Single Sign-On Services

Towards the Trust-Enhancements of Single Sign-On Services

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IEEE Conference on Dependable and Secure Computing

作者： Xuhua Bao Xiaokun Zhang Jingqiang Lin Dawei Chu Qiongxiao Wang Fengjun Li Legendsec Information Technology (Beijing) Inc. CHINA Joint Laboratory of Institute of Information Engineering Chinese Academy of Sciences and QiAnXin Group Academy of Opto-Electronics Chinese Academy of Sciences State Key Laboratory of Information Security Chinese Academy of Sciences Data Assurance and Communication Security Research Center Chinese Academy of Sciences School of Cyber Security University of Chinese Academy of Sciences Department of Electrical Engineering and Computer Science University of Kansas USA

Single sign-on (SSO) becomes popular as the identity management and authentication infrastructure in the Internet. A user receives an SSO ticket after being authenticated by the identity provider (IdP), and this IdP-issued ticket enables him to sign onto the relying party (RP). However, there are vulnerabilities (e.g., Golden SAML) that allow attackers to arbitrarily issue SSO tickets and then sign onto any RP on behalf of any user. Meanwhile, several incidents of certification authorities (CAs) also indicate that the trusted third party of security services is not so trustworthy as expected, and fraudulent TLS server certificates are signed by compromised or deceived CAs to launch TLS man-in-the-middle attacks. Various approaches are then proposed to tame the absolute authority of (compromised) CAs, to detect or prevent fraudulent TLS server certificates in the TLS handshakes. The trust model of SSO services is similar to that of certificate services. So this paper investigates the defense strategies of these trust-enhancements of certificate services, and attempts to apply these strategies to SSO to derive the trust-enhancements applicable in the SSO services. Our analysis derives (a) some security designs which have been commonly-used in the SSO services or non-SSO authentication services, and (b) two schemes effectively improving the trustworthiness of SSO services, which are not widely discussed or adopted.

关键词： Servers Public key Browsers Authentication Authorization Pins

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Bidirectional LSTM-CRF for biomedical named entity recognition 14

Bidirectional LSTM-CRF for biomedical named entity recogniti...

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14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2018

作者： Yang, Xuemin Gao, Zhihong Li, Yongmin Pan, Chuandi Yang, Ronggen Gong, Lejun Yang, Geng Jiangsu Key Laboratory of Big Data Security Intelligent Processing Nanjing University of Posts and Telecommunications Nanjing210003 China Zhejiang Engineering Research Center of Intelligence Medicine Wenzhou325035 China Faculty Intelligent Science and Control Engineering Jinling Institute of Technology Nanjing211169 China

ISBN: (纸本)9781538680971

Bio-medical entity recognition extracts significant entities, for instance cells, proteins and genes, which is an arduous task in an automatic system that mine knowledge in bioinformatics texts. In this thesis, we utilized a bidirectional long short-term memory (Bi-LSTM) combined with conditional random fields (CRFs) approach to automatically obtain word representation, obliterated the need for a marvelous number of feature engineering tasks. The consequences of this experiment represent the word representation method can effectually acquire potential semantic information. Without relying on any artificial features, the result on the test dataset obtained 76.81 % F-score. Therefore, the proposed method is expected to advance biomedical text mining in bioinformatics entity recognition. © 2018 IEEE.

关键词： Bioinformatics

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