Quick Takeaways
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International Scholar: Strahinja Janjusevic, a master’s student at MIT, transitioned from Montenegro to the U.S. Naval Academy, gaining a dual degree in cyber operations and computer science.
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Research Focus: His current research aims to enhance maritime cybersecurity through AI, specifically addressing vulnerabilities in legacy ships and GPS spoofing threats.
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Industry Experience: Janjusevic interned at Vectra AI, applying his knowledge of anomaly detection in AI contexts and translating that experience into his academic research.
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Policy Advocate: He emphasizes the critical role of policy in cybersecurity, actively engaging in international conferences to foster collaboration between the U.S. and Europe while advancing AI in cybersecurity.
Enhancing Maritime Cybersecurity
Maritime cybersecurity faces significant threats as global shipping becomes increasingly digitized. Recently, Strahinja Janjusevic, a master’s student at MIT, has focused on developing solutions using artificial intelligence (AI). His work emphasizes the importance of both technology and policy in improving the security of maritime infrastructure.
A Journey from Montenegro to MIT
Originally from Montenegro, Janjusevic’s journey led him to study cyber operations and computer science at the U.S. Naval Academy. There, he had the chance to work with the U.S. military and the National Security Agency. His experiences fueled his passion for addressing cybersecurity challenges. He now pursues advanced studies in MIT’s Technology and Policy Program, which combines technical innovation with vital policy analysis.
Addressing Cybersecurity Threats
Janjusevic’s research targets vulnerabilities in maritime cyber-physical systems, especially large legacy ships. For instance, GPS spoofing can mislead vessels off course, risking both national security and economic stability. To combat this, Janjusevic develops a hybrid AI framework that merges physics-based models with deep learning techniques. This approach improves threat detection by distinguishing between legitimate movement and malicious interference.
Innovative Approaches to Anomaly Detection
His work involves training AI systems to detect anomalies in ship movements. By analyzing environmental factors like wind and sea conditions, Janjusevic’s methods provide verified navigation data. This empowers human operators to differentiate technical glitches from cyberattacks. His research also draws on experiences from internships at industry leaders like Vectra AI, where he explored potential threats from emerging AI technologies.
A Focus on Policy
Policy development plays a critical role in Janjusevic’s efforts. Working with the MIT Maritime Consortium, he collaborates with various stakeholders, including regulatory agencies and international partners from countries like Singapore and South Korea. He believes that as technology evolves, so must the policies that govern it. His involvement in high-level conferences also aims to bridge gaps between continents in the field of cybersecurity.
Through his work, Janjusevic aspires to enhance global cybersecurity practices while fostering collaboration between the United States and Europe. His vision is clear: create a safer maritime environment through thoughtful innovation and proactive policy.
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