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1.
Android安全研究进展   总被引:4,自引:4,他引:3  
卿斯汉 《软件学报》2016,27(1):45-71
Android是目前最流行的智能手机软件平台,报告称,2014年,Android的销售量占到全球份额81%的绝对优势,首次达到10亿部.其余如苹果、微软、黑莓与火狐等则远远落在后面.与此同时,Android智能手机的日益流行也吸引了黑客,导致Android恶意软件应用的大量增加.从Android体系结构、设计原则、安全机制、主要威胁、恶意软件分类与检测、静态分析与动态分析、机器学习方法、安全扩展方案等多维角度,对Android安全的最新研究进展进行了总结与分析.  相似文献
2.
增量式关联分类方法在病毒检测中的应用   总被引:2,自引:2,他引:0       下载免费PDF全文
传统关联规则挖掘算法主要基于支持度一可信度构架,时空开销的限制使其无法深入挖掘非频繁项集。171前对带类属性的关联分类增量学习研究较少,该文提出一种新的增量式关联分类方法,解决了带类属性数据的增量学习问题,在数据频繁更新时,实现有限时空开销下关联规则的快速提取和维护。实验结果表明,该方法能有效维护并更新关联规则,避免重复学习历史样本,保证分类模型的预测能力。  相似文献
3.
Android恶意软件特征研究   总被引:2,自引:0,他引:2  
智能手机的广泛应用导致手机恶意软件的数量急速增加,尤其是近几年,基于Android操作系统的手机在智能手机市场占据主导地位,针对Android系统的恶意软件数量快速增加。手机恶意软件主要收集手机用户地理位置、语音通信、短信等个人隐私信息,或进行恶意扣费、耗费系统资源等行为,给用户自身和手机系统带来很大危害。准确分析恶意软件行为特征可以为后续清除恶意软件提供有力依据。传统的恶意软件分析技术主要包括静态分析与动态分析,文中介绍了当前存在的一些手机恶意软件分析检测技术及其缺陷,并从安装、激活、恶意负载三方面对已知Android恶意软件主要行为特征进行详细分析。  相似文献
4.
僵尸网络研究   总被引:1,自引:1,他引:53  
僵尸网络是一种从传统恶意代码形态进化而来的新型攻击方式,为攻击者提供了隐匿、灵活且高效的一对多命令与控制机制,可以控制大量僵尸主机实现信息窃取、分布式拒绝服务攻击和垃圾邮件发送等攻击目的.僵尸网络正步入快速发展期,对因特网安全已造成严重威胁,对中国大陆造成的危害尤为严重.介绍了僵尸网络的演化过程和基本定义,深入剖析了僵尸网络的功能结构与工作机制,讨论了僵尸网络的命令与控制机制和传播模型,并归纳总结了目前跟踪、检测和防御僵尸网络的最新研究成果,最后探讨了僵尸网络的发展趋势和进一步的研究方向.  相似文献
5.
Fraudulent and malicious sites on the web   总被引:1,自引:1,他引:0  
Fraudulent and malicious web sites pose a significant threat to desktop security, integrity, and privacy. This paper examines the threat from different perspectives. We harvested URLs linking to web sites from different sources and corpora, and conducted a study to examine these URLs in-depth. For each URL, we extract its domain name, determine its frequency, IP address and geographic location, and check if the web site is accessible. Using 3 search engines (Google, Yahoo!, and Windows Live), we check if the domain name appears in the search results; and using McAfee SiteAdvisor, we determine the domain name’s safety rating. Our study shows that users can encounter URLs pointing to fraudulent and malicious web sites not only in spam and phishing messages but in legitimate email messages and the top search results returned by search engines. To provide better countermeasures against these threats, we present a proxy-based approach to dynamically block access to fraudulent and malicious web sites based on the safety ratings set by McAfee SiteAdvisor.  相似文献
6.
二进制代码分析是分析程序行为特征的重要手段。本文提出了一种基于全系统仿真和指令流分析的二进制代码分析方法,该方法的核心思想是在一个全系统仿真虚拟机上执行二进制代码,通过截获并分析二进制代码运行时产生的指令流信息,分析程序行为特征。基于该方法,本文设计并实现了一个二进制代码分析系统。实验结果表明,通过该系统捕获并分析指令流,能够更为高效全面地提取出代码执行过程中产生的各类信息。对于使用抗分析技术手段的二进制代码,本文的分析方法很有效果。  相似文献
7.
基于RFID系统的安全性问题研究   总被引:1,自引:1,他引:0  
随着RFID技术的飞速发展与广泛应用,RFID系统的自身安全威胁及基于其的恶意代码也在快速发展。为了更好地对抗安全威胁和恶意代码,需要透彻地分析了解其原理。详细分析了当前RFID系统的自身安全问题及现有的攻击手段,给出了相应的防范措施;并根据RFID系统的特点,提出了基于RFIv系统的恶意代码免疫模型。  相似文献
8.
Suleyman   《Computers & Security》2009,28(7):648-659
In this paper we present a cost model to analyze impacts of Internet malware in order to estimate the cost of incidents and risk caused by them. The model is useful in determining parameters needed to estimate recovery efficiency, probabilistic risk distributions, and cost of malware incidents. Many users tend to underestimate the cost of curiosity coming with stealth malware such as email-attachments, freeware/shareware, spyware (including keyloggers, password thieves, phishing-ware, network sniffers, stealth backdoors, and rootkits), popups, and peer-to-peer fileshares. We define two sets of functions to describe evolution of attacks and potential loss caused by malware, where the evolution functions analyze infection patterns, while the loss functions provide risk-impact analysis of failed systems. Due to a wide range of applications, such analyses have drawn the attention of many engineers and researchers. Analysis of malware propagation itself has little to contribute unless tied to analysis of system performance, economic loss, and risks.  相似文献
9.
Studies of worm outbreaks have found that the speed of worm propagation makes manual intervention ineffective. Consequently, many automated containment mechanisms have been proposed to contain worm outbreaks before they grow out of control. These containment systems, however, only provide protection for hosts within networks that implement them. Such a containment strategy requires complete participation to protect all vulnerable hosts. Moreover, collaborative containment systems, where participants share alert data, face a tension between resilience to false alerts and quick reaction to worm outbreaks.This paper suggests an alternative approach where an autonomous system in an internetwork, such as the Internet, protects not only its local hosts, but also all hosts that route traffic through it, which we call internetwork-centric containment. Additionally, we propose a novel reputation-based alerting mechanism to provide fast dissemination of infection information while maintaining the fairness of the system. Through simulation studies, we show that the combination of internetwork-centric containment and reputation-based alerting is able to contain an extremely virulent worm with relatively little participation in the containment system. In comparison to other collaborative containment systems, ours provides better protection against worm outbreaks and resilience to false alerts.  相似文献
10.
We propose a technique for defeating signature-based malware detectors by exploiting information disclosed by antivirus interfaces. This information is leveraged to reverse engineer relevant details of the detector's underlying signature database, revealing binary obfuscations that suffice to conceal malware from the detector. Experiments with real malware and antivirus interfaces on Windows operating systems justify the effectiveness of our approach.  相似文献
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