相關主題
商品描述
The cybersecurity landscape is changing, for sure. For example, one of the oldest threat variants is that of phishing. It evolved in the early 1990s, but even today it is still being used as a primary threat variant and has now become much more sophisticated, covert, and stealthy in nature. For example, it can be used to launch ransomware, social engineering, and extortion attacks.
The advent of Generative AI is making this much worse. For example, a cyberattacker can now use something like ChatGPT to craft the content for phishing emails that are so convincing that it is almost impossible to tell the difference between what is real and what is fake. This is also clearly evident in the use of deepfakes, where fake images of real people are replicated to create videos to lure unsuspecting victims to a fake website.
But Generative AI can also be used for the good to combat Phishing Attacks. This is the topic of this book. In this, we cover the following:
- A review of phishing
- A review of AI, Neural Networks, and Machine Learning
- A review of Natural Language Processing, Generative AI, and the Digital Person
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A proposed solution as to how Generative AI can combat phishing attacks as they relate to Privileged Access accounts
商品描述(中文翻譯)
網路安全的環境確實在變化。例如，最古老的威脅變體之一就是釣魚攻擊。它在1990年代初期演變而來，但即使在今天，它仍然被用作主要的威脅變體，並且現在變得更加複雜、隱秘和狡猾。例如，它可以用來發動勒索軟體、社交工程和敲詐攻擊。
生成式人工智慧的出現使這一情況變得更加嚴重。例如，網路攻擊者現在可以使用像 ChatGPT 這樣的工具來撰寫釣魚電子郵件的內容，這些內容令人信服到幾乎無法分辨真偽。這在深偽技術的使用中也顯而易見，假冒真實人物的影像被複製以創建視頻，誘使毫無防備的受害者訪問假網站。
但生成式人工智慧也可以用於對抗釣魚攻擊，這是本書的主題。在本書中，我們將涵蓋以下內容：
- 釣魚攻擊的回顧
- 人工智慧、神經網絡和機器學習的回顧
- 自然語言處理、生成式人工智慧和數位人員的回顧
- 提出一個解決方案，說明生成式人工智慧如何對抗與特權訪問帳戶相關的釣魚攻擊
作者簡介
Ravi Das is a technical writer in the Cybersecurity realm. He also does Cybersecurity consulting on the side through his private practice, M L Tech, Inc. He also holds the Certified in Cybersecurity certification from the ISC(2).
作者簡介(中文翻譯)
Ravi Das 是一位在網路安全領域的技術作家。他同時也透過他的私人公司 M L Tech, Inc. 進行網路安全諮詢。他擁有 ISC(2) 的網路安全認證。
