首页|Symbiosis International (Deemed University) Researchers Further Understanding of Machine Learning (Safeguarding Critical Infrastructures: Machine Learning in Cy bersecurity)
Symbiosis International (Deemed University) Researchers Further Understanding of Machine Learning (Safeguarding Critical Infrastructures: Machine Learning in Cy bersecurity)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on artificial intelligenc e is the subject of a new report. According to news originating from Symbiosis I nternational (Deemed University) by NewsRx correspondents, research stated, "It has become essential to protect vital infrastructures from cyber threats in an a ge where technology permeates every aspect of our lives. This article examines h ow machine learning and cybersecurity interact, providing a thorough overview of how this dynamic synergy might strengthen the defence of critical systems and s ervices." The news correspondents obtained a quote from the research from Symbiosis Intern ational (Deemed University): "The hazards to public safety and national security from cyberattacks on vital infrastructures including electricity grids, transpo rtation networks, and healthcare systems are significant. Traditional security m ethods have failed to keep up with the increasingly sophisticated cyber threats. Machine learning offers a game-changing answer because of its ability to analys e big datasets and spot anomalies in real time. The goal of this study is to str engthen the defences of key infrastructures by applying machine learning algorit hms, such as CNN, LSTM, and deep reinforcement learning for anomaly algorithm. T hese algorithms can anticipate weaknesses and reduce possible breaches by using historical data and continuously adapting to new threats. The research also look s at issues with data privacy, algorithm transparency, and adversarial threats t hat arise when applying machine learning to cybersecurity. For machine learning technologies to be deployed successfully, these obstacles must be removed. Prote cting vital infrastructures is essential as we approach a day where connectivity is pervasive."
Symbiosis International (Deemed Universi ty)CybersecurityCyborgsEmerging TechnologiesMachine LearningTechnology
NETL
NSTL
