Today’s tools don’t enable full potential of data. Big Data needs tools to enable real time analysis, automate business processes and sell and share access to data and broker data access. With the current situation systems work in silod, even when leveraging blockchain technology. Current solutions aiming to solve the silo problem or aiming to solve the big data problem are either too expensive or lack flexibility as well as requiring businesses to work in completely separate private networks. Making it hard to extract the value of the data and make the systems communicate and share the data when wanted.
Sustainability data can be characterized by its velocity, variety and volume. This overlooks two key problems, its veracity and versatility. When trying to harvest the benefits of the technology for sustainability purposes the input data lacks veracity and over 50% does not trust sustainability data and under 1% of the data is analyzed.
Blockchain designs have experienced many iterations of familiar patterns, resulting in common limitations. These limitations need to be creatively surpassed with a standard setting infrastructure in order to achieve sustainable metrics.
“What we want to do is take the SAP systems, databases and similar and make them talk together like bankers used to make phone calls but now use FIX protocol. We take your data processing and delivery to the next stage.”
LEEP provides solutions for large and enterprise scale network that need resources to process large amounts of data atomically and securely. Plugins enable your Business to operate similarly as before, but with increased speed and automation as well as security. With the addition of gateways the Leep infrastructure can handle any type of data.
Our network is highly resistant to major attackw ithout relying on hash power resources. LEEP provides secure privacy in sorage, transit and delivery of data with unprecedented security. Goldilocks 488 (elliptic curve) provides the public key security needed. AES (Advanced Encryption Standard) encryption is used for data in transit. To mitigate the security of wrong implementation of the LEEP technology, we want to work together with the certified consultancy aid the implementation and avoiding setting the wrong permissions on data.
Businesses require an accurate, true state of teh information stores. ACID compliant databases are the way to access and store data securely with immutability. LEEP Network implements these principles to prove transactiosn securely and atomically. ACID compliant transactions are investory and banker safe, thismeans that a group of transactions either all succeed or all fail, ensuring there is never any ambiguity. Don’t pay for product you dont’ receive. Dont’ sell product you dont’ have. They Glypto data structure allows our network to perform ACID-compliant database operations on complex and varying datasets atomically. ACID-compliant databses immutably store Big Data for fast and secure storage and access. Transactional metadat is of these records is stored in the Light Chain instead of on chain-superfluity.
No More Private Ledger
LEEP allows your enterprise to keep the benefits of havinga private network, without having one. Suing DAG-tagging, LEEP allows you to stay connected by submitting and validating summaries of transactions together with cryptographic proof. This keeps transactions themselves semi-private while remaining connected and resulting in huge data processing and delivery capabilities. With the ability to leverage local resources for your own transactions, there is no longer any need for keepting data on local networks hidden in silos Summaries of transactions are submitted after verification, with details managed on a per DAG tag basis.
LEEP is building tools, plugins and gateways that allow for seamless conversion from proprietary to LEEP native protocols as well as seamless integration with current systems like SAP. Gateways are better than oracles because not all information needs to be stored on the blockchain forever. For example In the even of an oil delivery, the order is processed, shipped, carried out and reception of goods cerified through gatewats, triggering on-chain confirmations and payments. The value of that data ceases to be important as soon as the transaction is complete and there is no need to be able to replay the whole process forever. The data had value realtime and LEEP enabled that value. In addition LEEP enables complex transactions meaning that transactions themselves can rely on a list of conditions, an important feature for supply chain. It is our intention to let the enterprise pick the data retention policies, provide verification, storage marketplace at different cost tiers, replication of data and archive storage of off-chain data petabytes of connected sotage is the anticipated Scale. Not all dataneeds to be transmitted to every node. Reverse lookup provides info on where to ask.
The LEEP per block consensus mechanism with 100% closure makes DAG safe. By stipulating closure as a requirement, LEEP does not derive it’s securit from hashing power (PoW) or the number of tokens that are held by individual node holders (PoS), but through the consensus protocols unique implementation. A smart transaction-aware network layer can escalte safety mechanisms as necessary. This unique approach allows LEEp to scale in a safe way which in turn makes us more usable. Instead of every node processing every transaction, only relevant and verification nodes process the transactions.
The requirements to proof al work as a consensus mechanism is a standard security versus scalability trade-off. LEEP offers a novel solution eliminating this trade-off: secure scaling. Adding more machines to the network or your DAG-tagged network will speed up the network, as opposed to current solutions. Thus the network will scale without compromising security. This is possible because LEEP reduces the degree of syndication and thus serialization and the serial writing of blocks can become a semi-distributed process, therefore also reducing the cost and degree of resource contention, while also greatly reduce the degree of unnecessary crosstalk. As per universal scalability law (US) this brings LEEP closer to linear scaling. When picturing contention, imagine a city just having one road in and out, creating traffic jams (serialization), it does not help to build more roads inside or outside the city. The amount of serialization and thus contention remains the same and adding more roads and traffic with the same degree of serialization will eventually create diminishing returns for the amount of new roads, the throughput does not scale, it will even reduce. LEEP attacks contention by reducing serialization and making the network scale with the number of machines. LEEP increasing the number of roads in and out of the city, actually making it worthwhile to add more roads. To further extend this analogy with traffic illustrations, we could say that the freeway example is our scalable network infrastructure which includes DAG with closure as one of many safety features.