Periodic Reporting for period 1 - Blocknetwork (Blocknetwork - Fusing Big Data and Implementing Novel Cyber Security Solutions)
Reporting period: 2018-09-01 to 2019-02-28
Collecting, transferring, processing, analysing and eventually fusing Big Data remains a complex R&D topic for even the most advanced organization. Those that can surpass the challenges and extract business value will gain significant competitive advantages. Distributed data fusion based on DataUniTor’s Blocknetwork scheme enables a highly secure but still “lightweight” solution capable of handling flowing petabytes (10^15) of data.
Blocknetwork is DataUniTor’s unique implementation of blockchain schemes. The number of applications related to “secure information from Big Data” is almost endless, but includes healthcare, public sector, retail, manufacturing and modern cities. A self-organized cryptographic Blocknetwork with an evolutionary extension model is the future and the next logical step for blockchain to track complex transactions – gaining flexibility and scalability. The DataUniTor’s Blocknetwork scheme retrieves information from the data collected by various data sources and fuses the information into a knowledgebase while also offering additional security features - handling larger volumes, taking fewer instructions and providing a simpler and faster response. The above is primarily driven by a need to gain flexibility and scalability. Taking social media (e.g. Facebook) as an example, the number of real-time Big Data sources involved in creating highly personal content (“personalization”) is vast and is continuously gaining in sophistication.
DataUniTor’s uniqueness stems from turning Big Data into big information, knowledge and actionable wisdom. The proprietary solution can integrate modules independently of the product provider. This allows for a more flexible structure than the competition that typically locks in the client. Our innovations also address all the security threats listed by the Cloud Security Association (CSA). Based on technology demonstrations to customers, we assess the Blocknetwork scheme to have TRL 7. An ambitious technology development and demonstration effort is followed to climb the TRL ladder to a market-mature solution (i.e. TRL 9) and fully leverage the commercial potential within 2019.
The overriding objective of the project is to deliver a Feasibility Study underpinning the development and commercialization journey of DataUniTor’s Blocknetwork scheme. We have studied the technical and economic feasibility of achieving a fast market uptake to exploit a near-term € 133 mill. business opportunity (revenue 2019E-2022E). The study resulted in an extensive Strategic Business Plan based on information gathered from work plan tasks including market and competitor analysis, cost and resource assessments, IP analysis and strategy, regulatory feasibility, detailed Phase 2 development plan. The company’s future target clients are sophisticated medium to large enterprises, governmental and non-governmental organizations (B2B). International expansion is our priority.
Blocknetwork is DataUniTor’s unique implementation of blockchain schemes. The number of applications related to “secure information from Big Data” is almost endless, but includes healthcare, public sector, retail, manufacturing and modern cities. A self-organized cryptographic Blocknetwork with an evolutionary extension model is the future and the next logical step for blockchain to track complex transactions – gaining flexibility and scalability. The DataUniTor’s Blocknetwork scheme retrieves information from the data collected by various data sources and fuses the information into a knowledgebase while also offering additional security features - handling larger volumes, taking fewer instructions and providing a simpler and faster response. The above is primarily driven by a need to gain flexibility and scalability. Taking social media (e.g. Facebook) as an example, the number of real-time Big Data sources involved in creating highly personal content (“personalization”) is vast and is continuously gaining in sophistication.
DataUniTor’s uniqueness stems from turning Big Data into big information, knowledge and actionable wisdom. The proprietary solution can integrate modules independently of the product provider. This allows for a more flexible structure than the competition that typically locks in the client. Our innovations also address all the security threats listed by the Cloud Security Association (CSA). Based on technology demonstrations to customers, we assess the Blocknetwork scheme to have TRL 7. An ambitious technology development and demonstration effort is followed to climb the TRL ladder to a market-mature solution (i.e. TRL 9) and fully leverage the commercial potential within 2019.
The overriding objective of the project is to deliver a Feasibility Study underpinning the development and commercialization journey of DataUniTor’s Blocknetwork scheme. We have studied the technical and economic feasibility of achieving a fast market uptake to exploit a near-term € 133 mill. business opportunity (revenue 2019E-2022E). The study resulted in an extensive Strategic Business Plan based on information gathered from work plan tasks including market and competitor analysis, cost and resource assessments, IP analysis and strategy, regulatory feasibility, detailed Phase 2 development plan. The company’s future target clients are sophisticated medium to large enterprises, governmental and non-governmental organizations (B2B). International expansion is our priority.
Since from the beginning of the project DataUniTor has worked on developing the software based on the blocknetwork scheme and a datacentre that will support the implementation of the project. We have completed the prototype and conducted several tests. Finally the prototype has been converted to a Product, which is an implementation of the blocknetwork technology and can be used for retrieving information from the data collected by various sensors such as cameras and the internet of things (IoT) devices, and fusing them into a dynamic and online knowledgebase for several cases including; Information exchange and interaction networks analysis and monitoring, security surveillance in large and complex events, such as Olympics, World Cup and EXPO, large facilities and campuses where thousands of people work and leave, such as refineries, iron and steel factories, medical campuses or Municipalities.
We made the following technical progress in our project:
The software architecture is designed, implemented as a prototype and the prototype tested rigorously in 2018.
The DataUniTor datacentre equipment was procured, configured and collocated in Greenmountain Renesøy, Norway in February 2018, and put in service for the first customer in May 2018.
The alpha and beta version of the product, called (Ephesus) are tested by the First Customer between Nov 2018 and Mar 2019.
Ephesus Version 1.1.1.0 is tested by the First Customer and evaluated as unique and innovative.
Since January 2019, the marketing efforts have gained momentum, which already took DataUniTor to negotiations with five more customers in addition to the first one.
We made the following technical progress in our project:
The software architecture is designed, implemented as a prototype and the prototype tested rigorously in 2018.
The DataUniTor datacentre equipment was procured, configured and collocated in Greenmountain Renesøy, Norway in February 2018, and put in service for the first customer in May 2018.
The alpha and beta version of the product, called (Ephesus) are tested by the First Customer between Nov 2018 and Mar 2019.
Ephesus Version 1.1.1.0 is tested by the First Customer and evaluated as unique and innovative.
Since January 2019, the marketing efforts have gained momentum, which already took DataUniTor to negotiations with five more customers in addition to the first one.
We expect to extend our reach to new customers. DataUniTor’s future target clients are sophisticated medium to large enterprises, governmental and non-governmental organizations (B2B). The Norwegian market is limited, and international expansion is a priority. Our plan to increase the geographic reach is hence motivated both by maximizing the market opportunity, access resources and ensure effective operations. Unique Selling Points are seen in relation to unparalleled security in Big Data applications, taking fewer instructions, handling larger volumes and providing a simpler and faster response.
DataUniTor’s blockchain network concept will have socio-economical implications since it brings several innovative and useful solutions through working with big information fusion, NoSQL knowledgebase and machine learning. Big information fusion is a game changer for making faster and better decisions - especially in defence and security applications. NoSQL knowledgebase provides more efficient knowledge representation that results in superior dealing with unstructured data sets and big data. Machine learning techniques, including our innovative modelling and simulation based machine learning schemes contributes largely to the competitiveness of the DataUniTor products.
DataUniTor’s blockchain network concept will have socio-economical implications since it brings several innovative and useful solutions through working with big information fusion, NoSQL knowledgebase and machine learning. Big information fusion is a game changer for making faster and better decisions - especially in defence and security applications. NoSQL knowledgebase provides more efficient knowledge representation that results in superior dealing with unstructured data sets and big data. Machine learning techniques, including our innovative modelling and simulation based machine learning schemes contributes largely to the competitiveness of the DataUniTor products.