Evaluating the cognitive mechanisms of phishing detection with PEST, an ecologically valid lab-based measure of phishing susceptibility

Data and code to generate Figures from Hakim et al. Evaluating the cognitive mechanisms of phishing detection with PEST, an ecologically valid lab-based measure of phishing susceptibility NOTE: Figure 4 requires data from the original PHIT task. These are available online at XXX Data files are csv files. Naming has the following form: scamdata_SUBJECTNUMBER_DATETIME_AGE_GENDER.dat e.g. scamdata_1_10Oct2018090103_18_F.dat Each datafile has 7 columns : userId : subject response (1 - safe with high confidence, 2 - safe with low confidence, 3 - scam with low confidence, 4 - scam with high confidence) reactTime : reaction time in seconds category : PHIT Email Category (and custom categories for pooled scam/safe emails) type : weapon of influence (for PHIT emails only) hasAtt : binary indicating whether email has an attachment realID : real email identifier (scam or safe) emailCode : unique ID of each email - used to locate specific emails within excel files用于生成Hakim等人发表论文《使用PEST评估网络钓鱼检测的认知机制：一种具备生态效度的实验室版网络钓鱼易感性测量工具》中所需图表的数据与代码。 注意：图4需使用原始PHIT任务的相关数据，此类数据可于XXX网址在线获取。 数据文件均为CSV格式，命名规则如下：scamdata_SUBJECTNUMBER_DATETIME_AGE_GENDER.dat，示例为scamdata_1_10Oct2018090103_18_F.dat。 每份数据文件包含7个字段： - userId：受试者作答等级，具体对应为：1为高置信度判定为安全邮件，2为低置信度判定为安全邮件，3为低置信度判定为钓鱼邮件，4为高置信度判定为钓鱼邮件 - reactTime：反应时，单位为秒 - category：PHIT邮件类别（及用于合并钓鱼/安全邮件的自定义类别） - type：影响手段（仅适用于PHIT邮件） - hasAtt：二进制标识，用于指示邮件是否包含附件 - realID：真实邮件标识符，用于区分钓鱼邮件与安全邮件 - emailCode：每封邮件的唯一ID，用于在Excel文件中定位特定邮件