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.
Check Point Research has uncovered a significant increase in global cyberattacks, reporting a 75% surge in the third quarter of 2024 compared to the same period in the previous year. This alarming trend highlights the escalating threat landscape and the growing sophistication of cybercriminals. The research indicates that the Education/Research sector has been the most targeted, while Africa has experienced the highest attack rates geographically. Ransomware incidents remain prevalent, with North America accounting for a substantial 57% of these attacks. The Manufacturing and Healthcare sectors have been particularly vulnerable to ransomware attacks.