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基于安全态势监测模型的泛在终端种类攻击自动识别研究
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作者 韩世海 徐鑫 朱珠 《计算机应用与软件》 北大核心 2024年第4期327-332,共6页
以提升泛在终端种类攻击自动识别精度为目的,研究基于安全态势监测模型的泛在终端种类攻击自动识别方法。对初始数据序列实施等时距处理,依照累加数列所表现出的反“S”形摆动特征,通过灰色Verhulst模型确定泛在终端风险值。将支持向量... 以提升泛在终端种类攻击自动识别精度为目的,研究基于安全态势监测模型的泛在终端种类攻击自动识别方法。对初始数据序列实施等时距处理,依照累加数列所表现出的反“S”形摆动特征,通过灰色Verhulst模型确定泛在终端风险值。将支持向量机的参数与分类精度分别作为改进粒子群算法的粒子和目标函数,通过全局搜索过程确定支持向量机的最优参数,构建多分类识别模型,将泛在终端风险值作为输入,利用识别模型自动识别泛在终端攻击类型。实验分析结果显示该方法攻击类型查准率为97.81%,DCP值最高达到0.0063%。 展开更多
关键词 安全态势 泛在终端 种类攻击 自动识别 等时距处理
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无线传感器网络安全数据融合研究 被引量:1
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作者 曹晓梅 李万雷 杨庚 《计算机技术与发展》 2012年第11期229-234,共6页
数据融合去除冗余信息,延长网络生命周期,有效地缓解了无线传感器网络资源瓶颈的问题。但是,无线传感器网络经常部署在开放的甚至敌对的环境中,使其安全问题非常突出,数据融合在具体实施过程中,极易受到安全攻击。因此,安全数据融合协... 数据融合去除冗余信息,延长网络生命周期,有效地缓解了无线传感器网络资源瓶颈的问题。但是,无线传感器网络经常部署在开放的甚至敌对的环境中,使其安全问题非常突出,数据融合在具体实施过程中,极易受到安全攻击。因此,安全数据融合协议的设计成为无线传感器网络安全最为基本且重要的研究领域。文中分析了无线传感器网络数据融合面临的攻击种类和安全需求及挑战,着重比较了近年来该领域具有代表性的安全数据融合协议,指出了该领域今后的研究热点。 展开更多
关键词 无线传感器网络 安全数据融合 攻击种类
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Environment-dependent attack rates of cryptic and aposematic butterflies 被引量:1
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作者 Brett M. SEYMOURE Andrew RAYMUNDO +2 位作者 Kevin J. MCGRAW W. OWEN MCMILLAN Ronald L, RUTOWSKI 《Current Zoology》 SCIE CAS CSCD 2018年第5期663-669,共7页
Many organisms have evolved adaptive coloration that reduces their risk of predation. Cryptic colo- ration reduces the likelihood of detection/recognition by potential predators, while warning or aposematic coloration... Many organisms have evolved adaptive coloration that reduces their risk of predation. Cryptic colo- ration reduces the likelihood of detection/recognition by potential predators, while warning or aposematic coloration advertises unprofitability and thereby reduces the likelihood of attack. Although some studies show that aposematic coloration functions better at decreasing attack rate than crypsis, recent work has suggested and demonstrated that crypsis and aposematism are both successful strategies for avoiding predation. Furthermore, the visual environment (e.g., ambient lighting, background) affects the ability for predators to detect prey. We investigated these 2 related hypoth- eses using 2 well-known visually aposematic species of Heliconius butterflies, which occupy differ- ent habitats (open-canopy vs. closed-canopy), and one palatable, cryptic, generalist species Junonia coenia. We tested if the differently colored butterflies differ in attack rates by placing plasti- cine models of each of the 3 species in 2 different tropical habitats where the butterflies naturally occur: disturbed, open-canopy habitat and forested, closed-canopy habitat. The cryptic model had fewer attacks than one of the aposematic models. Predation rates differed between the 2 habitats, with the open habitat having much higher predation. However, we did not find an interaction between species and habitat type, which is perplexing due to the different aposematic phenotypes naturally occurring in different habitats. Our findings suggest that during the Panamanian dry sea- son avian predation on perched butterflies is not a leading cause in habitat segregation between the 2 aposematic species and demonstrate that cryptically colored animals at rest may be better than aposematic prey at avoiding avian attacks in certain environments. 展开更多
关键词 avian attacks CAMOUFLAGE Heliconius Junonia light environment plasticine models PREDATION warning coloration.
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