The recent succession of food crisis and the rise of food scare have endangered the relationship of trust between the consumers and the primary food production parties: raisers, growers, industrial partners, distribu...The recent succession of food crisis and the rise of food scare have endangered the relationship of trust between the consumers and the primary food production parties: raisers, growers, industrial partners, distributors, public institutions, as well as the secondary food production parties: consumer groups and medias. Facing a potentially risky product, the consumer in his collect of risk diminishing information, should be able to trust something or someone. But in order to trust a risk diminishing element, he must first trust its emitter. In order to enhance consumer perception towards Lebanese food safety, we began a survey on a sample of a population randomly selected. The study found significant difference among education levels concerning attitude towards food safety and knowledge. No significant effect of demographic profile and sex on food handling practices was found. These findings increase concerns about consumer safety knowledge and practices. It is advised that a national survey should be conducted, followed by a properly designed food safety public health campaign, to enhance household food safety awareness.展开更多
近年来,中央银行数字货币(CBDC)受到全球多个国家和地区的高度关注.双离线交易作为CBDC的可选属性,在无网络连接的情况下进行支付,被认为具有较大的实用价值.面向CBDC的双离线匿名支付场景,基于可信执行环境(TEE)和安全单元(SE)技术,提...近年来,中央银行数字货币(CBDC)受到全球多个国家和地区的高度关注.双离线交易作为CBDC的可选属性,在无网络连接的情况下进行支付,被认为具有较大的实用价值.面向CBDC的双离线匿名支付场景,基于可信执行环境(TEE)和安全单元(SE)技术,提出了一种专为移动平台设计的高效双离线匿名支付方案(dual offline anonymous E-payment for mobile devices,OAPM).OAPM适用于资源受限的移动设备,允许移动付款者在不联网状态下安全地向收款者支付数字货币,且不向收款者及商业银行泄露个人隐私信息,付款者的支付行为也不会被链接,同时允许收款者设备处于离线状态,监管机构(如中央银行)在必要情况下能够识别匿名付款者的真实身份.该方案满足数字货币交易的多项重要属性,包括正确性、不可链接性、可追踪性、不可陷害性、机密性、真实性、防双花性以及可控匿名性等.实现了原型系统,并对可能的参数进行了评估.安全性分析和实验结果表明,该方案从安全性和效率两方面均能满足移动用户CBDC双离线交易的实际需求.展开更多
协同过滤推荐是当前最成功的个性化推荐技术之一,但是传统的协同过滤推荐算法普遍存在推荐性能低和抗攻击能力弱的问题.针对以上问题,提出了一种基于多元化社交信任的协同过滤推荐算法CF-CRIS(collaborative filtering based on credibi...协同过滤推荐是当前最成功的个性化推荐技术之一,但是传统的协同过滤推荐算法普遍存在推荐性能低和抗攻击能力弱的问题.针对以上问题,提出了一种基于多元化社交信任的协同过滤推荐算法CF-CRIS(collaborative filtering based on credibility,reliability,intimacy and self-orientation).1)借鉴社会心理学中的信任产生原理,提出基于多个信任要素(可信度、可靠度、亲密度、自我意识导向)的信任度计算方法;2)深入研究社交网络环境中各信任要素的识别、提取和量化方法;3)基于用户间的综合信任度选取可信邻居,完成对目标用户的个性化推荐.基于通用测试数据集的实验研究结果表明:该算法不但可以极大地提高推荐系统的精确度和召回率,而且表现出良好的抗攻击能力.展开更多
文摘The recent succession of food crisis and the rise of food scare have endangered the relationship of trust between the consumers and the primary food production parties: raisers, growers, industrial partners, distributors, public institutions, as well as the secondary food production parties: consumer groups and medias. Facing a potentially risky product, the consumer in his collect of risk diminishing information, should be able to trust something or someone. But in order to trust a risk diminishing element, he must first trust its emitter. In order to enhance consumer perception towards Lebanese food safety, we began a survey on a sample of a population randomly selected. The study found significant difference among education levels concerning attitude towards food safety and knowledge. No significant effect of demographic profile and sex on food handling practices was found. These findings increase concerns about consumer safety knowledge and practices. It is advised that a national survey should be conducted, followed by a properly designed food safety public health campaign, to enhance household food safety awareness.
文摘近年来,中央银行数字货币(CBDC)受到全球多个国家和地区的高度关注.双离线交易作为CBDC的可选属性,在无网络连接的情况下进行支付,被认为具有较大的实用价值.面向CBDC的双离线匿名支付场景,基于可信执行环境(TEE)和安全单元(SE)技术,提出了一种专为移动平台设计的高效双离线匿名支付方案(dual offline anonymous E-payment for mobile devices,OAPM).OAPM适用于资源受限的移动设备,允许移动付款者在不联网状态下安全地向收款者支付数字货币,且不向收款者及商业银行泄露个人隐私信息,付款者的支付行为也不会被链接,同时允许收款者设备处于离线状态,监管机构(如中央银行)在必要情况下能够识别匿名付款者的真实身份.该方案满足数字货币交易的多项重要属性,包括正确性、不可链接性、可追踪性、不可陷害性、机密性、真实性、防双花性以及可控匿名性等.实现了原型系统,并对可能的参数进行了评估.安全性分析和实验结果表明,该方案从安全性和效率两方面均能满足移动用户CBDC双离线交易的实际需求.
文摘协同过滤推荐是当前最成功的个性化推荐技术之一,但是传统的协同过滤推荐算法普遍存在推荐性能低和抗攻击能力弱的问题.针对以上问题,提出了一种基于多元化社交信任的协同过滤推荐算法CF-CRIS(collaborative filtering based on credibility,reliability,intimacy and self-orientation).1)借鉴社会心理学中的信任产生原理,提出基于多个信任要素(可信度、可靠度、亲密度、自我意识导向)的信任度计算方法;2)深入研究社交网络环境中各信任要素的识别、提取和量化方法;3)基于用户间的综合信任度选取可信邻居,完成对目标用户的个性化推荐.基于通用测试数据集的实验研究结果表明:该算法不但可以极大地提高推荐系统的精确度和召回率,而且表现出良好的抗攻击能力.