基于访问控制空间的多策略安全体系结构

为解决LSM在策略重用和策略共存方面存在的问题，提出了一个新的安全体系结构ELSM，它引入一个模型组合器作为主模块实施模块堆栈管理和模块决策管理，其中模块决策的实施采用了访问控制空间的策略规范方法，可支持通用性，ELSM的设计及其在安胜OS安全操作系统中的实例分析表明其有效性。

物联网安全架构初探

物联网是信息技术发展到一定阶段的产物,是全球信息产业的又一次科技与经济浪潮,将影响到许多重大技术创新和产业的发展,受到各国政府、企业和科研机构的高度重视。同时,物联网的信息安全问题是关系物联网产业能否安全可持续发展的核心技术之一,必需引起高度重视。因此如何建立合理的物联网安全架构和安全体系将对物联网的安全使用和可持续发展有着重大影响。本文试图从不同层次分析物联网的安全需求,搭建物联网的安全架构体系,希望为物联网可靠的信息安全系统提供理论参考依据。

Layered Architecture for Secure E-Commerce Applications

We present a layered architecture for secure e-commerce applications and protocols with fully automated dispute-resolution process, robust to communication failures and malicious faults. Our design is modular, with precise yet general-purpose interfaces and functionalities, and allows usage as an underlying secure service to different e-commerce, e-banking and other distributed systems. The interfaces support diverse, flexible and extensible payment scenarios and instruments, including direct buyer-seller payments as well as (the more common) indirect payments via payment service providers (e.g. banks). Our design is practical, efficient, and ensures reliability and security under realistic failure and delay conditions.

High-Strength Composite Fibers: Realizing True Potential of Carbon Nanotubes in Polymer Matrix through Continuous Reticulate Architecture and Molecular Level Couplings

Carbon nanotubes have unprecedented mechanical properties as defect-free nanoscale building blocks, but their potential has not been fully realized in composite materials due to weakness at the interfaces. Here we demonstrate that through load-transfer-favored three-dimensional architecture and molecular level couplings with polymer chains, true potential of CNTs can be realized in composites as Initially envisioned. Composite fibers with reticulate nanotube architectures show order of magnitude improvement in strength compared to randomly dispersed short CNT reinforced composites reported before. The molecular level couplings between nanotubes and polymer chains results in drastic differences in the properties of thermoset and thermoplastic composite fibers, which indicate that conventional macroscopic composite theory falls to explain the overall hybrid behavior at nanoscale.

Visual pattern recognition network: Its training algorithm and its optoelectronic architecture

A visual pattern recognition network and its training algorithm are proposed. The network constructed of a one-layer morphology network and a two-layer modified Hamming net. This visual network can implement invariant pattern recognition with respect to image translation and size projection. After supervised learning takes place, the visual network extracts image features and classifies patterns much the same as living beings do. Moreover we set up its optoelectronic architecture for real-time pattern recognition. (C) 1996 Optical Society of America