Eniac Network [FROZEN]

ENIAC PRIVACY SYSTEM

One of the principles that Eniac strives to utilise is the introduction of an internal biometric self authenticating security layer, coupled with a strengthened key generating system, this combination will ensure an accounts system and wallet with better digital security and certainty than any current model in place. Further data and code will be released to the Eniac GitHub to allow for a fully open source experience.

Below you will find the structuring and layout to our privacy systems;   

Key Generation

Through Eniac you’ll produce your own public and private key through a 16-32 character password based around non relatable words, this is due to many people having their preferred set of credentials that they like to use, whether it be the town you were born in and the year you were born ~ london1972 ~ or your pet’s name followed by your age ~ alfie27 ~ no matter your method, chances are you have related it to yourself in one way or another, and you probably use this password on multiple accounts, Eniac will attempt to break this poor opsec by using the 16-32 character system mentioned earlier, many may have experienced a similar protocol with their network router WiFi passcode, e.g:

House-Fog-Jump

The password is set up in a easy to remember 16 character setting, consisting of a 5 letter word, a 4 letter word, a 3 letter word and all separated by dashes (5+4+3+3=16) this method allows for a non relatable, secure and easy to remember password.

Biometric Signature

Biometrics is the science of identifying an individual based on inherent physical or behavioral traits closely associated with the person. Biometric systems utilise iris, hand geometry, palm print, face, fingerprints, gait, voice and keyboard typing patterns to determine the the identity of a person. For the time being Eniac plans to pursue face and fingerprints, and from these samples The Eniac Network will be able to safely verify and determine the identity of it’s users, in the case of facial biometrics a generic system will be used to capture and segment the image of a person's face to extract a feature set from the segmented image, with this set the system can compare it to the face/fingerprint template present on the coin to render a decision regarding the identity of a individual, in such the generic biometric data can be viewed as pattern recognition, similar to how Shazam use spectrogram data to verify songs through it’s app, each song, face or fingerprint has a unique and specific set of scores, and with these scores the biometric system can efficiently decide whether to accept or reject a users attempted access. Eniac research shows that fingerprints are 98.99% accurate and 99.89% respectively for faces.

What is the spectrogram?

The frequency spectrum of a signal is calculated and displayed in a time-frequency-oriented graph. In short, it can be simply described as a unique graphic or indicator system for any symptom.

With a system similar to the spectrogram structure, your personal information will be saved on the blockchain with zero security faults and a result-oriented system will be developed. Moreover, thanks to a few minor changes on our blockchain system, you do not have to use this system. With the help of a single private key, you will be able to perform transactions on your account. In short,whether using the two step verification system, or standard verification your account will be secure.

Please keep in mind that while all this is done Eniac codes will be posted on GitHub. One of Eniac’s main goals is to develop a universal and valid blockchain without any queries, and to present it in the best way possible.

zkSNARKS

The acronym zk-SNARK stands for “Zero-Knowledge Succinct Non-Interactive Argument of Knowledge,” and refers to a proof construction where one can prove possession of certain information, e.g. a secret key, without revealing that information, and without any interaction between the prover and verifier.

The possibilities of zkSNARKS is impressive to say the least, it allows for a system that can accurately verify the correctness of computations without the need of executing them and without informing the user of what task was executed, just whether or not it was correct. Anyone with prior experience with RSA will see the 2 systems are very much alike.

zkSNARKS can be defined to 4 major yet simple principles, in this section Eniac will aim to explain and show understanding of these principles.

• Encoding as a polynomial problem: The program that is checked is compiled into a quadratic equation of polynomials: t(x) h((x) = w(x) v(x), where the equality holds if and only if the program is computed successfully. The prover wants to convince the verifier that this equality holds
• Succinctness by random sampling: The verifier chooses private evaluation point (s) to reduce the problem from multiplying polynomials and verifying polynomial function equality to simple multiplication and equality check on numbers: t(s) h(s) = w(s) v(s) This reduces both the proof size and the verification time massively
• Homomorphic encoding/encryption:  The encoding/encryption function E has some homomorphic properties, albeit not fully yet. This allows the prover to compute E(t(s)), E(h(s)), E(w(s)), E(v(s)) without knowing s, the system only know E(s) and other helpful encrypted values.
• Zero Knowledge: Through hand-waving the prover permutes the values E(t(s)), E(h(s)), E(w(s)), E(v(s)) by multiplying with a number so that the verifier can still check their correct structure without knowing the actual encoded values.