The Design of Rijndael: AES - The Advanced Encryption Standard
By Joan Daemen, Vincent Rijmen. 2002
3,981 citations recorded by the source corpus.
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Dan Boneh
- M. Sadegh Riazi
- George Danezis
- Daniel Gruss
- David E. Evans
- Kim Laine
- Joppe W. Bos
- Stefan Mangard
Citations in the corpus
- HEAX: An Architecture for Computing on Encrypted Data (2019, background): “ty concerns. To mitigate security and privacy concerns, cloud providers should keep customers’ data encrypted at all times. Symmetrickey encryption schemes, such as Advanced Encryption Standard (AES) [23], allow private data to be stored securely in a public cloud indefinitely. However, unless the cu”
- Efficient Cache Attacks on AES, and Countermeasures (2010, methodology): “The contents of the tables, defined in [20], are inconsequential for most of our attacks.”
- Cache Template Attacks: Automating Attacks on Inclusive Last-Level Caches (2015, background): “A similar attack has already been suggested in 2009 by Ristenpart et al. [45], who reported being able to gather keystroke timing information by observing cache activities on an otherwise idle machine.”
- Related-Key Cryptanalysis of the Full AES-192 and AES-256 (2009, background): “1 Introduction The Advanced Encryption Standard (AES) [9] — a 128-bit block cipher, is one of the most popular ciphers in the world and is widely used for both commercial and government purposes.”
- Color image encryption based on one-time keys and robust chaotic maps (2010, background): “[1,2] with high computational security consider plain image as either block cipher or data stream and are not suitable for image/video encryption in real time, because their speed is lowdue to a large data volume and strong correlation among image pixels.”
- Secure, privacy-preserving and federated machine learning in medical imaging (2020, methodology): “Since only certain mathematical operations, such as addition and multiplication, are homomorphic, the application of HE to neural networks requires the operations defined within the algorithm to conform to these limitations and thus standard encryption algorithms like the advanced encryption standar”
- Analysis of an electronic voting system (2004, background): “The most appropriate solution will likely involve the use of hardware cryptographic coprocessors.”
- Elliptic Curve Cryptography in Practice (2014, methodology): “For example, the cipher suite TLS ECDHE RSA WITH AES 128 CBC SHA uses ephemeral ECDH for a key exchange, signed with an RSA key for identity verification, and uses AES-128 [18] in CBC mode for encryption and the SHA-1 hash function in an HMAC for message authentication.”
- Differential and Linear Cryptanalysis Using Mixed-Integer Linear Programming (2011, methodology): “The four-round propagation theorem of AES [15] proves that the number of active S-boxes in a differential or linear characteristic of four AES rounds is at least 25.”
- Distinguisher and Related-Key Attack on the Full AES-256 (2009, methodology): “In June 2003 the US government has approved the use of 128, 192, 256 bit key AES for SECRET and 192, 256-bit key AES for TOP SECRET information [ 13 ].”
- White-Box Cryptography and an AES Implementation (2002, methodology): “Using standard terminology [13, 20], aes consists of Nr rounds; Nr = 10 for aes-128.”