The security of cryptographic systems depends on some secret data that is known to authorized persons but unknown and unpredictable to others. To achieve this unpredictability, some randomization is typically employed. Modern cryptographic protocols often require frequent generation of random quantities. Cryptographic attacks that subvert or exploit weaknesses in this process are known as random number generator attacks.
A high quality random number generation (RNG) process is almost always required for security, and lack of quality generally provides attack vulnerabilities and so leads to lack of security, even to complete compromise, in cryptographic systems. The RNG process is particularly attractive to attackers because it is typically a single isolated hardware or software component easy to locate. If the attacker can substitute pseudo-random bits generated in a way they can predict, security is totally compromised, yet generally undetectable by any upstream test of the bits. Furthermore, such attacks require only a single access to the system that is being compromised. No data need be sent back in contrast to, say, a computer virus that steals keys and then e-mails them to some drop point.
Humans generally do poorly at generating random quantities. Magicians, professional gamblers and con artists depend on the predictability of human behavior. In World War II German code clerks were instructed to select three letters at random to be the initial rotor setting for each Enigma machine message. Instead some chose predictable values like their own or a girlfriend's initials, greatly aiding Allied breaking of these encryption systems. Another example is the often predictable ways computer users choose passwords (see password cracking).
Nevertheless, in the specific case of playing mixed strategy games, use of human gameplay entropy for randomness generation was studied by Ran Halprin and Moni Naor.
Just as with other components of a cryptosystem, a software random number generator should be designed to resist certain attacks.
Cette page est générée automatiquement et peut contenir des informations qui ne sont pas correctes, complètes, à jour ou pertinentes par rapport à votre recherche. Il en va de même pour toutes les autres pages de ce site. Veillez à vérifier les informations auprès des sources officielles de l'EPFL.
Un générateur de nombres aléatoires, random number generator (RNG) en anglais, est un dispositif capable de produire une suite de nombres pour lesquels il n'existe aucun lien calculable entre un nombre et ses prédécesseurs, de façon que cette séquence puisse être appelée « suite de nombres aléatoires ». Par extension, on utilise ce terme pour désigner des générateurs de nombres pseudo aléatoires, pour lesquels ce lien calculable existe, mais ne peut pas « facilement » être déduit.
Le masque jetable, également appelé chiffre de Vernam, est un algorithme de cryptographie inventé par Gilbert Vernam en 1917 et perfectionné par Joseph Mauborgne, qui rajouta la notion de clé aléatoire. Cependant, le banquier américain Frank Miller en avait posé les bases dès 1882. Bien que simple, facile et rapide, tant pour le codage que pour le décodage, ce chiffrement est théoriquement impossible à casser, mais le fait que le masque soit à usage unique impose de le transmettre au préalable par un "autre moyen", ce qui soulève des difficultés de mise en œuvre pour la sécurisation des échanges sur Internet.
This course introduces the basics of cryptography. We review several types of cryptographic primitives, when it is safe to use them and how to select the appropriate security parameters. We detail how
The student who follows this course will get acquainted with computational tools used to analyze systems with uncertainty arising in engineering, physics, chemistry, and economics. Focus will be on s
Explore la génération de nombres quantiques aléatoires, en discutant des défis et des implémentations de générer une bonne randomité à l'aide de dispositifs quantiques.
The field of biometrics, and especially face recognition, has seen a wide-spread adoption the last few years, from access control on personal devices such as phones and laptops, to automated border controls such as in airports. The stakes are increasingly ...
Modern digital connectivity has necessitated the creation of robust methods for securely storing and transferring data. At the heart of all security infrastructure is the random number generator (RNG). While random numbers find use in a variety of applicat ...
EPFL2023
, , ,
The intrinsic random amplitude and phase modulation of 40 distinct lines of a microresonator frequency comb operated in the modulation instability regime are used to realize massively parallel random-modulation continuous-wave light detection and ranging, ...