论文标题
在Twitter上进行社会工程攻击的机器人开发
Bot Development for Social Engineering Attacks on Twitter
论文作者
论文摘要
开发了一系列在Twitter平台中使用网络钓鱼进行模拟社会工程攻击的机器人，以识别潜在的不安全用户行为。在这项工作中，开发了不同的机器人版本以收集反馈数据，该刺激连续38天引导到1,287个Twitter帐户。结果对于不安全行为的主持人的存在不是结论性的，但是我们得出的结论是，尽管有Twiter的安全性，这种攻击仍然是可行的。
A series of bots performing simulated social engineering attacks using phishing in the Twitter platform was developed to identify potentially unsafe user behavior. In this work different bot versions were developed to collect feedback data after stimuli directed to 1,287 twitter accounts for 38 consecutive days. The results were not conclusive about the existence of preceptors for unsafe behavior, but we conclude that despite Twiter's security this kind of attack is still feasible.
