Digital integration within healthcare systems exacerbates their vulnerability to sophisticated ransomware threats, leading to severe operational disruptions and data breaches. Current defenses are typically categorize...Digital integration within healthcare systems exacerbates their vulnerability to sophisticated ransomware threats, leading to severe operational disruptions and data breaches. Current defenses are typically categorized into active and passive measures that struggle to achieve comprehensive threat mitigation and often lack real-time response effectiveness. This paper presents an innovative ransomware defense system, ERAD, designed for healthcare environments that apply the MITRE ATT&CK Matrix to coordinate dynamic, stage-specific countermeasures throughout the ransomware attack lifecycle. By systematically identifying and addressing threats based on indicators of compromise (IOCs), the proposed system proactively disrupts the attack chain before serious damage occurs. Validation is provided through a detailed analysis of a system deployment against LockBit 3.0 ransomware, illustrating significant enhancements in mitigating the impact of the attack, reducing the cost of recovery, and strengthening the cybersecurity framework of healthcare organizations, but also applicable to other non-health sectors of the business world.展开更多
为解决电力监控系统现有安全策略面对新型攻击防护能力不足的问题,文中提出一种基于对抗战术、技术和通用知识(adversarial tactics,techniques,and common knowledge,ATT&CK)框架的威胁路径构自动建方法。该方法首先基于设备间的...为解决电力监控系统现有安全策略面对新型攻击防护能力不足的问题,文中提出一种基于对抗战术、技术和通用知识(adversarial tactics,techniques,and common knowledge,ATT&CK)框架的威胁路径构自动建方法。该方法首先基于设备间的连通状况构建网络无向图;然后依据资产分级信息构建威胁移动路径;最后依据资产分类信息、ATT&CK框架以及网络杀伤链,补全威胁移动路径信息,完成威胁路径构建。该方法不仅为电力系统安全策略的制定提供了理论依据和支持,还为检测到威胁时自适应调整网络安全策略提供了可能。展开更多
随着移动互联网+的广泛发展,各行各业的线上线下电子商务模式(online to offline,O2O)也应运而生,然而,同质化竞争和数据价值挖掘不足的问题限制了市场的持续向好发展。聚焦于O2O模式下的顾客满意度研究,提出了一种新型的中文文本预测模...随着移动互联网+的广泛发展,各行各业的线上线下电子商务模式(online to offline,O2O)也应运而生,然而,同质化竞争和数据价值挖掘不足的问题限制了市场的持续向好发展。聚焦于O2O模式下的顾客满意度研究,提出了一种新型的中文文本预测模型,命名为W2V-ATT-LSTM。该模型引入Attention机制以提高对重要文本的感知能力,进一步融合W2V和LSTM结构,深度挖掘头部企业真实交易数据进行分析处理、特征选择和模型训练。通过LDA模型进行主题挖掘,深入了解消费者对产品或服务的感受,为企业提供有针对性的改进建议。实验结果显示,W2V-ATT-LSTM模型在公开数据集任务中的准确率(91.4%)、精确率(82.2%)、召回率(81.7%)和F1(81.4%)等指标均优于KNN、贝叶斯、决策树、SVM等传统机器学习算法;在爬虫真实数据集任务中的准确率(94%)、精确率(90%)、召回率(89%)和F1(89%)也优于W2V、LSTM、Bi-LSTM和Bert;在多个公开中文情感分析数据集上的优越性能也表明W2V-ATT-LSTM对于理解和处理自然语言文本具有显著的实际应用价值。在当前竞争激烈的O2O市场,W2V-ATT-LSTM模型能为顾客与商家提供可靠的决策参考,有望帮助企业更好地理解顾客需求,提升服务水平,推动行业良性发展。展开更多
[目的]探讨miR-152靶向TCEAL5对小鼠垂体瘤细胞AtT-20增殖、凋亡和侵袭的影响。[方法]小鼠垂体瘤AtT-20细胞培养转染后48 h进行实验,实验分5组:mimic NC组、miR-152 mimic组、si-NC组,si-TCEAL5组。用双荧光素酶报告基因检测miR-152与TC...[目的]探讨miR-152靶向TCEAL5对小鼠垂体瘤细胞AtT-20增殖、凋亡和侵袭的影响。[方法]小鼠垂体瘤AtT-20细胞培养转染后48 h进行实验,实验分5组:mimic NC组、miR-152 mimic组、si-NC组,si-TCEAL5组。用双荧光素酶报告基因检测miR-152与TCEAL5的靶基因关系,MTT法检测各组细胞增殖能力,流式细胞术检测各组细胞凋亡率,Transwell法检测细胞侵袭数目,蛋白免疫印迹法检测各组细胞TCEAL5蛋白表达。[结果] miR-152对TCEAL5有潜在的结合位点,转染miR-152 mimic显著降低了AtT-20细胞裂解液中荧光素酶的相对活性(1.00±0.31 vs 0.62±0.11),表明miR-152与TCEAL5 mRNA存在靶向调节作用。miR-152 mimic组、si-TCEAL5组72 h AtT-20细胞光密度值均显著低于mimic NC组和si-NC组(1.32±0.09 vs 1.03±0.06;1.22±0.15 vs 0.94±0.01;P<0.05)。转染48 h后,miR-152 mimic组、si-TCEAL5组AtT-20细胞凋亡率分别显著高于mimic NC组、si-NC组(3.81±0.23 vs 33.25±6.02;4.16±0.53 vs 25.27±3.61;P<0.05)。与mimic NC组比较,miR-152 mimic组AtT-20细胞的侵袭能力显著降低(83.22±10.23 vs 43.35±9.02;P<0.05);与si-NC组比较,si-TCEAL5组AtT-20细胞的侵袭能力显著降低(85.16±7.53 vs 55.67±5.65,P<0.05)。与mimic NC组比较,miR-152 mimic组AtT-20细胞TCEAL5蛋白表达水平显著降低(0.51±0.03 vs 0.25±0.02,P<0.05);与si-NC组比较,si-TCEAL5组AtT-20细胞TCEAL5蛋白表达水平显著降低(0.55±0.03 vs 0.24±0.01,P<0.05)。[结论] miR-152通过与TCEAL5靶向结合,进而抑制垂体瘤细胞AtT-20增殖、侵袭并促进其凋亡。展开更多
文摘Digital integration within healthcare systems exacerbates their vulnerability to sophisticated ransomware threats, leading to severe operational disruptions and data breaches. Current defenses are typically categorized into active and passive measures that struggle to achieve comprehensive threat mitigation and often lack real-time response effectiveness. This paper presents an innovative ransomware defense system, ERAD, designed for healthcare environments that apply the MITRE ATT&CK Matrix to coordinate dynamic, stage-specific countermeasures throughout the ransomware attack lifecycle. By systematically identifying and addressing threats based on indicators of compromise (IOCs), the proposed system proactively disrupts the attack chain before serious damage occurs. Validation is provided through a detailed analysis of a system deployment against LockBit 3.0 ransomware, illustrating significant enhancements in mitigating the impact of the attack, reducing the cost of recovery, and strengthening the cybersecurity framework of healthcare organizations, but also applicable to other non-health sectors of the business world.
文摘为解决电力监控系统现有安全策略面对新型攻击防护能力不足的问题,文中提出一种基于对抗战术、技术和通用知识(adversarial tactics,techniques,and common knowledge,ATT&CK)框架的威胁路径构自动建方法。该方法首先基于设备间的连通状况构建网络无向图;然后依据资产分级信息构建威胁移动路径;最后依据资产分类信息、ATT&CK框架以及网络杀伤链,补全威胁移动路径信息,完成威胁路径构建。该方法不仅为电力系统安全策略的制定提供了理论依据和支持,还为检测到威胁时自适应调整网络安全策略提供了可能。
文摘随着移动互联网+的广泛发展,各行各业的线上线下电子商务模式(online to offline,O2O)也应运而生,然而,同质化竞争和数据价值挖掘不足的问题限制了市场的持续向好发展。聚焦于O2O模式下的顾客满意度研究,提出了一种新型的中文文本预测模型,命名为W2V-ATT-LSTM。该模型引入Attention机制以提高对重要文本的感知能力,进一步融合W2V和LSTM结构,深度挖掘头部企业真实交易数据进行分析处理、特征选择和模型训练。通过LDA模型进行主题挖掘,深入了解消费者对产品或服务的感受,为企业提供有针对性的改进建议。实验结果显示,W2V-ATT-LSTM模型在公开数据集任务中的准确率(91.4%)、精确率(82.2%)、召回率(81.7%)和F1(81.4%)等指标均优于KNN、贝叶斯、决策树、SVM等传统机器学习算法;在爬虫真实数据集任务中的准确率(94%)、精确率(90%)、召回率(89%)和F1(89%)也优于W2V、LSTM、Bi-LSTM和Bert;在多个公开中文情感分析数据集上的优越性能也表明W2V-ATT-LSTM对于理解和处理自然语言文本具有显著的实际应用价值。在当前竞争激烈的O2O市场,W2V-ATT-LSTM模型能为顾客与商家提供可靠的决策参考,有望帮助企业更好地理解顾客需求,提升服务水平,推动行业良性发展。
文摘[目的]探讨miR-152靶向TCEAL5对小鼠垂体瘤细胞AtT-20增殖、凋亡和侵袭的影响。[方法]小鼠垂体瘤AtT-20细胞培养转染后48 h进行实验,实验分5组:mimic NC组、miR-152 mimic组、si-NC组,si-TCEAL5组。用双荧光素酶报告基因检测miR-152与TCEAL5的靶基因关系,MTT法检测各组细胞增殖能力,流式细胞术检测各组细胞凋亡率,Transwell法检测细胞侵袭数目,蛋白免疫印迹法检测各组细胞TCEAL5蛋白表达。[结果] miR-152对TCEAL5有潜在的结合位点,转染miR-152 mimic显著降低了AtT-20细胞裂解液中荧光素酶的相对活性(1.00±0.31 vs 0.62±0.11),表明miR-152与TCEAL5 mRNA存在靶向调节作用。miR-152 mimic组、si-TCEAL5组72 h AtT-20细胞光密度值均显著低于mimic NC组和si-NC组(1.32±0.09 vs 1.03±0.06;1.22±0.15 vs 0.94±0.01;P<0.05)。转染48 h后,miR-152 mimic组、si-TCEAL5组AtT-20细胞凋亡率分别显著高于mimic NC组、si-NC组(3.81±0.23 vs 33.25±6.02;4.16±0.53 vs 25.27±3.61;P<0.05)。与mimic NC组比较,miR-152 mimic组AtT-20细胞的侵袭能力显著降低(83.22±10.23 vs 43.35±9.02;P<0.05);与si-NC组比较,si-TCEAL5组AtT-20细胞的侵袭能力显著降低(85.16±7.53 vs 55.67±5.65,P<0.05)。与mimic NC组比较,miR-152 mimic组AtT-20细胞TCEAL5蛋白表达水平显著降低(0.51±0.03 vs 0.25±0.02,P<0.05);与si-NC组比较,si-TCEAL5组AtT-20细胞TCEAL5蛋白表达水平显著降低(0.55±0.03 vs 0.24±0.01,P<0.05)。[结论] miR-152通过与TCEAL5靶向结合,进而抑制垂体瘤细胞AtT-20增殖、侵袭并促进其凋亡。
