Improving security through lightweight learned models

现代计算机系统的不安全感威胁着互联网的成功。以病毒、蠕虫和间谍软件形式存在的恶意软件非常普遍，会导致数据丢失、隐私泄露和服务中断。更令人不安的是，钓鱼电子邮件和网页现在会自动对用户本身进行社会工程攻击。这些问题源于复杂软件中普遍存在的不完善之处，以及人类在与此类系统交互时的局限性。如果我们要有意义地改善计算机系统的安全，我们需要能够在面对这些限制时取得成功的机制和战略。

The insecurity of modern computer systems threaten the success of the Internet. Malicious software, in the form of viruses, worms, and spyware are widespread, causing data loss, privacy compromises, and losses of service. Even more disturbing, phishing emails and web pages now automate social engineering attacks on users themselves. These problems stem from the imperfections endemic in complex software and the limitations humans have when interacting with such systems. If we are to meaningfully improve the security of computer systems, we need mechanisms and strategies that can succeed in the face of such limitations.