"Security with Noisy Data" provides a comprehensive introduction to the security mechanisms based on noisy data. The book covers the theoretical foundations of authentication and its practical applications, particularly in the context of preventing forgery. It highlights the role of biometrics and physically unclonable functions (PUFs) as central elements in the security architecture. The authors, Pim Tuyls, Boris Skoric, and Tom Kevenaar, present a variety of algorithms for deriving secure keys from noisy data and explain the underlying theory that supports the security of these algorithms. Additionally, practical implementations and techniques for assessing the security of these systems are discussed. The book is aimed at both doctoral students entering the field and professionals looking to deepen their knowledge.