Search Results for "computing"

Written in C/CUDA, this tool recovers lost mnemonics and passphrases for BTC, ETH, TRX, DOGE, LTC, DASH, ZEC, BCH, and BTG. Supports BIP32/44/49/84 derivation paths. Features partial phrase recovery and a built-in dictionary for fast, efficient results. Compliant with wallet standards.

The Lightweight Encryption Algorithm (also known as LEA) is a 128-bit block cipher developed by South Korea in 2013 to provide confidentiality in high-speed environments such as big data and cloud computing, as well as lightweight environments such as IoT devices and mobile devices. LEA is one of the cryptographic algorithms approved by the Korean Cryptographic Module Validation Program (KCMVP) and is the national standard of Republic of Korea (KS X 3246). LEA is included in the ISO/IEC 29192-2:2019 standard (Information security - Lightweight cryptography - Part 2: Block ciphers). ...

Novel Insight Inner Circle is a message and file encryption tool for Windows. The software is developed in Java and requires 64bit Java JRE. The encryption uses AES-256 twice so it is harder to crack than the industry standard pure AES 256bit implementation (theoretical key size is 512 bit). The software writes encrypted data in ASCII text format which can be cut'n'pasted to messaging apps or to emails and back to Inner Circle when decrypting data. IMPORTANT: The software requires new...

StrongKey CryptoCabinet (SKCC) 2.0 is a FIDO-enabled (fidoalliance.org) web application built using Regulatory Compliant Cloud Computing (RC3) architecture (http://bit.ly/rc3infoq). It encrypts files/objects of any type or size, and stores the ciphertext either to public/private clouds—AWS, Azure, Eucalyptus—or local/network drives, while keeping cryptographic keys safe and secure OUTSIDE the cloud. CryptoCabinet leverages the StrongKey CryptoEngine (SKCE)—another FOSS on this site—to perform FIDO U2F strong authentication, encryption/decryption, digital signatures, and cloud integration. ...

distDES is a Java RMI-based application which manages load balancing on heterogeneous clusters. Development will extend the theoretical initial implementation to include clustered Rainbow Table generation and encryption algorithm collision detection.