S2W Inc. is pleased to announce that a research paper on security intelligence has once again been accepted at a prestigious global security symposium. 🚀

The paper, titled 'DRAINCLoG: Detecting Rogue Accounts with Illegally-obtained NFTs using Classifiers Learned on Graphs,' has been accepted at the NDSS (The Network and Distributed System Security Symposium) in the United States and will be presented in San Diego in February.

The paper includes research on NFT fraud transactions and introduces an automatic detection system for detecting 'NFT drainers.'

From 'DarkBERT' to the recent 'DRAINCLoG,' S2W has gained international recognition in both the security and AI fields, as acknowledged by global symposiums.

👉 What are NFT drainers? : They are 'NFT phishing scam accounts,' which trick users into approving malicious contracts through disguises, resulting in the theft of wallet permissions and owned NFTs.

🏆 Key contributors to research and development : S2W AI team members Hanna Kim, Jian Cui, Eugene Jang, Chanhee Lee, Yongjae Lee, Jin-Woo Chung, and Professor Seungwon Shin from KAIST.