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zeroegg's Projects

aes-zcm icon aes-zcm

AES-ZCM (ZHASH with Counter Mode) is for the constrained environment where performance (latency, throughput, power consumption, area) is concerned. It provides parallelizable hardware and software optimization.

aiengine-xtra icon aiengine-xtra

Rewriting AIengine Firewall --> https://bitbucket.org/camp0/aiengine/

bitcoin icon bitcoin

Jupyter Notebook for Bitcoin / Blockchain analysis from Strata+Hadoop World 2016

blockmatrix icon blockmatrix

This project is developing code to implement features and extensions to the NIST Cybersecurity Whitepaper, "A Data Structure for Integrity Protection with Erasure Capability". The block matrix data structure may have utility for incorporation into applications requiring integrity protection that currently use permissioned blockchains. This capability could for example be useful in meeting privacy requirements such as the European Union General Data Protection Regulation (GDPR), which requires that organizations make it possible to delete all information related to a particular individual, at that person's request.

car-lease-demo icon car-lease-demo

A demonstration using IBM Blockchain to show how the lifecycle of vehicles can be recorded on a blockchain

cifra icon cifra

A collection of cryptographic primitives targeted at embedded use.

cloudcrypto icon cloudcrypto

A library for cryptographic primitive implementations for Cloud Storage applications.

coffeeminer icon coffeeminer

collaborative (mitm) cryptocurrency mining pool in wifi networks

concrete-numpy icon concrete-numpy

Concrete Numpy is a python package that contains the tools data scientists need to compile various numpy functions into their Fully Homomorphic Encryption (FHE) equivalents. Concrete Numpy goes on top of the Concrete Library and its Compiler.

content icon content

Security automation content in SCAP, Bash, Ansible, and other formats

coronavirus-ds icon coronavirus-ds

Jupyter notebooks and python scripts for investigating the 2019 coronavirus outbreak

coursera-ml-andrewng icon coursera-ml-andrewng

use numpy, scipy, and tensorflow to implement these basic ML model and learning algorithm

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