The SPAR program is a remote-first part-time program connecting mentors and mentees for three-month AI safety and governance research projects. This initiative aims to promote research in areas such as technical AI safety, AI policy and governance, AI strategy, and AI security. The program offers funding for compute costs and provides valuable experience for both mentors and mentees. The focus on AI safety and governance is increasingly relevant in the rapidly evolving landscape of artificial intelligence. The SPAR program plays a crucial role in fostering research and development within the AI community.
This research explores the use of the Lucifer block cipher in malware development. It provides a detailed explanation of the Feistel network, the foundation of Lucifer, and its implementation in C code. The example code showcases the encryption and decryption of data blocks using Lucifer, demonstrating the potential for its application in malware. The research emphasizes the importance of understanding cryptographic algorithms in developing effective malware analysis and detection techniques.
In Q3 2024, cyberattacks surged globally, with an average of 1,876 attacks per organization. The Education/Research sector was the most targeted, while Africa faced the highest attack rates regionally. Ransomware incidents remained persistent, with North America experiencing 57% of the attacks. The Manufacturing and Healthcare sectors were particularly impacted by ransomware.