DarkBERT: A Chatbot for the Dark Web and How it Operates

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DarkBERT may sound like a character from a sci-fi film, but it’s actually a powerful new tool designed to help combat cybercrime. Developed by a team of South Korean developers, DarkBERT is a large language model (LLM) that has been trained solely on data collected from the dark web.

This may sound sinister, but the researchers behind DarkBERT believe it could actually be an antidote to the problem of AI-powered cybercrime. According to the team, modern AI technology has made it easier than ever for cybercriminals to commit illegal activities and steal data from organizations. DarkBERT could help us fight back by monitoring sites on the dark web that sell or publish confidential data obtained by ransomware groups.

The LLM is based on the RoBERTa architecture, which was developed by researchers from Facebook and Washington University in 2019. However, the key difference is that DarkBERT has been trained specifically on data collected from the dark web using the Tor network.

To train the model, the researchers used Tor to crawl the dark web and collect millions of pages of data. They then pre-processed the text to remove duplicate pages and balance the categories, before feeding the database to RoBERTa.

The researchers chose RoBERTa as the base model because it does not use Next Sentence Prediction (NSP) during training. This is useful when training a model based on the dark web, which has fewer sentence-like structures than the surface web.

DarkBERT’s ability to monitor illicit exchanges based on keywords is particularly useful. It could be used to identify conversations or postings related to cybercrime, thereby helping authorities to detect and prevent illegal activities on the dark web.

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While DarkBERT is still a new and untested technology, it could have enormous potential in the fight against cybercrime. With AI-powered attacks becoming increasingly common, we need all the tools we can get to protect ourselves and our data.

Frequently Asked Questions (FAQs) Related to the Above News

What is DarkBERT?

DarkBERT is a large language model (LLM) that has been trained solely on data collected from the dark web.

Who developed DarkBERT?

DarkBERT was developed by a team of South Korean developers.

What is the purpose of DarkBERT?

DarkBERT is designed to combat cybercrime by monitoring sites on the dark web that sell or publish confidential data obtained by ransomware groups.

How was DarkBERT trained?

To train DarkBERT, the researchers used Tor to crawl the dark web and collect millions of pages of data. They then pre-processed the text to remove duplicate pages and balance categories before feeding the database to RoBERTa.

Why did the researchers choose RoBERTa as the base model?

The researchers chose RoBERTa as the base model because it does not use Next Sentence Prediction (NSP) during training. NSP is less useful on the dark web, which has fewer sentence-like structures than the surface web.

What is DarkBERT's ability?

DarkBERT's ability is to monitor illicit exchanges based on keywords. It could be used to identify conversations or postings related to cybercrime, thereby helping authorities to detect and prevent illegal activities on the dark web.

Is DarkBERT a tested technology?

DarkBERT is still a new and untested technology, but it has enormous potential in the fight against cybercrime, especially with AI-powered attacks becoming increasingly common.

Please note that the FAQs provided on this page are based on the news article published. While we strive to provide accurate and up-to-date information, it is always recommended to consult relevant authorities or professionals before making any decisions or taking action based on the FAQs or the news article.

Aniket Patel
Aniket Patel
Aniket is a skilled writer at ChatGPT Global News, contributing to the ChatGPT News category. With a passion for exploring the diverse applications of ChatGPT, Aniket brings informative and engaging content to our readers. His articles cover a wide range of topics, showcasing the versatility and impact of ChatGPT in various domains.

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