Deep learning for computational problems in hardware security : (Record no. 7360)

MARC details
000 -LEADER
fixed length control field 01670 a2200193 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251114142429.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250915b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9789811940163
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.82
Item number SanD
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Pranesh Santikellur
245 ## - TITLE STATEMENT
Title Deep learning for computational problems in hardware security :
Remainder of title modeling attacks on strong physically unclonable function circuits /
Statement of responsibility, etc Pranesh Santikellur and Rajat Subhra Chakraborty.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Singapore:
Name of publisher Springer,
Year of publication ©2021,
300 ## - PHYSICAL DESCRIPTION
Number of Pages xi, 84p.
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Studies in Computational Intelligence
Volume number/sequential designation v. 1052
520 ## - SUMMARY, ETC.
Summary, etc The book discusses a broad overview of traditional machine learning methods and state-of-the-art deep learning practices for hardware security applications, in particular the techniques of launching potent "modeling attacks" on Physically Unclonable Function (PUF) circuits, which are promising hardware security primitives. The volume is self-contained and includes a comprehensive background on PUF circuits, and the necessary mathematical foundation of traditional and advanced machine learning techniques such as support vector machines, logistic regression, neural networks, and deep learning. This book can be used as a self-learning resource for researchers and practitioners of hardware security, and will also be suitable for graduate-level courses on hardware security and application of machine learning in hardware security. A stand-out feature of the book is the availability of reference software code and datasets to replicate the experiments described in the book.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Machine Learning
General subdivision Basics
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Chakraborty, Rajat Subhra
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Holdings
Withdrawn status Lost status Damaged status Collection code Home library Current library Shelving location Date acquired Source of acquisition Purchase Price Bill number Full call number Accession Number Print Price Bill Date/Price effective from Koha item type
      Electrical Indian Institute of Technology Tirupati Indian Institute of Technology Tirupati General Stacks 15/09/2025 Shankar's Book Agency Pvt. Ltd. 7016.10 IN35911/25-26 005.82 SanD (11636) 11636 10023.00 15/09/2025 Books