Vitalik Buterin, the co-founder of Ethereum, has recently introduced a groundbreaking solution to counteract the growing menace of deepfake technology. As artificial intelligence-generated audio and video become more advanced, distinguishing between authentic and fabricated content is becoming increasingly critical.
以太坊聯合創始人維塔利克·布特林 (Vitalik Buterin) 最近推出了一項突破性的解決方案,以應對日益嚴重的深度造假技術威脅。隨著人工智慧生成的音訊和視訊變得更加先進,區分真實內容和偽造內容變得越來越重要。
This problem reached new heights when a company was defrauded of $25 million due to a scam involving a deepfake video call. Buterin’s innovative approach, centered on personalized security questions, aims to provide a dependable authentication mechanism in an era where traditional methods are proving inadequate.
當一家公司因涉及深度偽造視訊通話的詐騙而被騙 2500 萬美元時,這個問題達到了新的高度。 Buterin 的創新方法以個人化安全問題為中心,旨在在傳統方法無法勝任的時代提供可靠的身份驗證機制。
Vitalik Buterin Develops New Deepfake Security Measures
Vitalik Buterin 開發新的 Deepfake 安全措施
Vitalik Buterin’s proposal comes in response to the significant concerns raised by the advent of deepfake technology, especially regarding the security of digital communications. This technology poses a particular risk in verifying the authenticity of individuals during video calls or transactions.
Vitalik Buterin 的提議是為了回應 Deepfake 技術的出現所引起的重大擔憂,特別是在數位通訊的安全方面。該技術在視訊通話或交易期間驗證個人真實性方面存在特殊風險。
Cryptographic signatures, while often lauded for their security in crypto circles, have limitations. They fail to address situations where an individual’s key could be compromised or if they are coerced into authorizing a transaction. Vitalik Buterin suggests a method rooted in personalized security questions to mitigate these vulnerabilities. These questions would be based on shared experiences and knowledge unique to the individuals involved, making it challenging for an outsider to mimic someone successfully.
加密簽名雖然在加密圈中經常因其安全性而受到稱讚,但它也有其限制。他們無法解決個人密鑰可能被洩露或被迫授權交易的情況。 Vitalik Buterin 提出了一種基於個人化安全問題的方法來緩解這些漏洞。這些問題將基於所涉及個人的共同經驗和獨特知識,這使得局外人很難成功模仿某人。
The strength of this method lies in its reliance on human memory and relationships, areas where AI and deepfakes currently fall short. By focusing on details unlikely to be known by others or discovered online, these security questions can provide a solid defense against identity theft and fraud in digital interactions. Buterin emphasizes the need for specificity and the potential difficulty in recalling the answers, adding layers of complexity and security.
這種方法的優點在於它依賴人類記憶和關係,而這些領域是人工智慧和深度造假目前所缺乏的。透過關注其他人不太可能知道或在網路上發現的細節,這些安全問題可以為數位互動中的身分盜竊和詐欺提供堅實的防禦。 Buterin 強調了具體性的必要性以及回憶答案的潛在困難,從而增加了複雜性和安全性。
A Multifaceted Approach to Digital Security
數位安全的多方面方法
Understanding that no security measure is foolproof, Buterin advocates augmenting personalized security questions with additional strategies. These include pre-agreed-upon code words, using duress signals, multi-channel confirmation of critical transactions, and implementing delays on significant actions.
Buterin 明白沒有任何安全措施是萬無一失的,因此他主張透過額外的策略來增強個人化的安全問題。其中包括預先商定的代碼字、使用脅迫訊號、關鍵交易的多通道確認以及對重大行動實施延遲。
This comprehensive approach enhances overall security by erecting multiple barriers against potential attackers, making it exceedingly difficult for them to penetrate all layers of defense. The release of this mechanism follows a recent report by Coingape that Buterin has become a victim of fraudsters using deepfake technology again.
這種綜合方法透過針對潛在攻擊者建立多重屏障來增強整體安全性,使他們很難突破所有防禦層。這項機制的發布是在 Coingape 最近的一份報告中指出,Buterin 再次成為利用 Deepfake 技術的詐欺者的受害者。
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