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Deep Learning for Computational Problems in Hardware Security: Modeling Attacks on Strong Physically Unclonable Function Circuits
الآن:
د.إ. 303.65 شامل ضريبة القيمة المضافة
احصل عليه خلال 12 مارس
احصل على د.إ. 15.18 رصيد مسترجع باستخدام بطاقة بنك المشرق نون الائتمانية. اشترك الآن. قدّم الحين
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المواصفات
| الناشر | Springer |
| رقم الكتاب المعياري الدولي 13 | 9789811940163 |
| رقم الكتاب المعياري الدولي 10 | 9811940169 |
| الكاتب | Pranesh Santikellur |
| تنسيق الكتاب | Hardcover |
| اللغة | English |
| وصف الكتاب | 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 |
| عن المؤلف | Pranesh Santikellur is a Ph.D. student and a Senior Research Fellow in the Department of Computer Science and Engineering at the Indian Institute of Technology, Kharagpur. He received his B.E. degree in Electronics & Communication Engineering from Visvesvaraya Technological University, Belgaum, India, in 2010. He has a total of 6 years of industry experience at Horner Engineering India Pvt. Ltd. and Processor Systems. His primary research interest lies in hardware security, deep learning, and programmable logic controller security. He is an IEEE student member.Rajat Subhra Chakraborty is an Associate Professor in the Department of Computer Science & Engineering of the Indian Institute of Technology, Kharagpur, India. He has professional experience working in National Semiconductor and Advanced Micro Devices (AMD). His research interest lies in the areas of hardware security, VLSI design, digital watermarking, and digital image forensics, in which he has published 4 books and over 100 papers in international journals and conferences of repute. He holds 2 granted U.S. patents. His publications have received over 3600 citations to date. Dr. Chakraborty has a Ph.D. in Computer Engineering from Case Western Reserve University, USA, and is a senior member of IEEE and ACM. |
| تاريخ النشر | 2022-09-16 |
| عدد الصفحات | 84 pages |
Deep Learning for Computational Problems in Hardware Security: Modeling Attacks on Strong Physically Unclonable Function Circuits
تمت الإضافة لعربة التسوق
مجموع السلة 303.65 د.إ.
