Automotive Cyber Security Platform

Connected car/Autonomous vehicle security and information platform with blockchain technology

CUBE is a network security company based on blockchain.

At present, the automobile market of 1.7 trillion USD, has reached an important turning point. The rapid expansion of car connectivity has brought attention to the significance of network security. Given that new cars from 2020 will be manufactured with built-in CDMA, connected cars are expected to be under constant threat of cyber-attacks, similar to attacks our network connected PCs coping with today. CUBE is preparing to embrace a pivotal role in the rapidly changing vehicle market.


Connected cars and autonomous vehicles require a myriad of communication hubs: vehicle to vehicle (V2V), vehicle to network(V2N), vehicle to Infrastructure(V2I), vehicle to device(V2D), etc. Increased connectivity enhances user convenience, yet also heightens vulnerability from cyber attacks. Thus, network security is pivotal in stabilizing the connectivity of vehicles. CUBE utilizes Blockchain, Deep Learning (in-depth learning) based AI-intelligence, Quantum hash encryption, Endpoint protection and Cloud-based Intelligence to ensure security in automotive networks.

1. Blockchain Security

The conventional blockchain technology grants security whilst maintaining simplicity, but has its limitation on transmitting large files. CUBE Blockchain security resolves such drawbacks, through utilizing peer-to-peer hypermedia protocol and asymmetric encryption. CUBE Blockchain technology will provide next-generation security for the automobile industry, taking advantage of the impossible-to-hack nature of blockchain, whilst providing rapid data transfer.

2. CUBEBOX Endpoint Security Technology

Connected cars engage in multilateral communication from various external sources: vehicle to network (V2N), vehicle to vehicle (V2V), vehicle to Infrastructure (V2I), and vehicle to device (V2D). CUBE Endpoint Security Technology generates endpoints at all external connection points for protection. CUBE’s unique technology uses ‘hash price’ to scan and distinguish over 300 million ‘known’ attacks with only 10MBs of disk space. In fact, even with our light-weight software, it holds the fastest endpoint processing speed amongst the existing endpoint security products.

3. Cloud Check-Box Technology

CUBE Cloud Technology can detect ‘unknown’ attacks by transmitting suspicious files to a cloud malware database, the Check Box. Our Cloud Check box is partnered with more than 50,000 corporations which upload and share newly encountered malware on a transnational database. ‘Unknown’ attacks that are left unidentified are sent to Sandbox, where files run in a virtual vehicle environment. Based on the verdict from the Sandbox analysis, the results are uploaded to the database and will be shared across other vehicles.

Technology Application

1. Data Business

According to the McKinsey Report, the value of data collected from a car exceeds that of the car itself. CUBEBOX enables anyone to become a data producer when he or she simply plugs our device in a car. CUBE will establish an ecosystem of automobile data sales and aim to become the world’s largest Big Data company.

Data Providers

The CUBE token links driving-related information from the car to data consumers who need this information. Drivers generate this information as they drive and receive CUBE tokens in return. CUBE then links it into a blockchain. Data providers can use this to tap into services such as “Over the Air” (OTA), autonomous car security, and mileage insurance services from data consumers.

Data Consumers

Data consumers who need this information will provide their services in exchange of Cube tokens. Automobile generated information, is sent, utilized, and received by all nodes. Data consumers can also provide OTA services and autonomous car driving support information to data providers. This circulation is a key principle of the CUBE token. CUBE’s tech can be applied to different blockchains and improve data security and sharing in various real world situations.

Cube Token Usage Plan

  • 2. OTA Business

    OTA technology provides remote automotive software upgrade. This will upgrade the functionality of in-vehicle software. CUBE’s blockchain based OTA technology will provide remote software diagnostic and the installation of bug patches.

  • 3. Automotive Security Business

    According to ‘Cybersecurity Ventures’, the cybersecurity market grew from 3.5 billion USD in 2004 to 120 billion dollars in 2017, more than 35-fold within a short time span. The switch to connected cars will result in burgeoning of the demand for network security. CUBE will provide a robust multilayered security that is vehicle-optimized, using our blockchain, endpoint and cloud checkbox technology.

  • Road Map

    • 1
      Apr 2018
      Contract Announcement Unveil new automotive and blockchain contracts and partnerships.
    • 2
      May 2018
      OTA Ver 1.0 AUTO device will be released
    • 3
      Jun 2018
      Blockchain Layer Architecture Completion
    • 4
      Jul 2018
      CUBE Conference in Seoul All contributors will be invited
    • 5
      Aug 2018
      Release Study Reports
    • 6
      Sep 2018
      Marketing Conference Online Marketing Progress Report Conference
    • 7
      Oct 2018
      Initial Development of AI Architecture Complete
    • 8
      Nov 2018
      CUBE Conference in Tokyo All contributors will be invited
    • 9
      Dec 2018
      Annual Report 2018 Real Time Online Broadcast

    Automotive Market Trend

    1.7 Trillion USD
    Target Market
    • Current Car Market
    • Autonomous or Connected Car Market
    Markets of Autonomous Vehicles and Connected Vehicles

    CUBE incorporates blockchain, endpoint and Cloud-based CheckBox to implement following business models.


    Standing Adviser

    Shin, Hun Cheol
    • sk

    SK Group total Vice Chairman (former)
    SK Ltd. CEO (former)
    Miso Microcredit Bank Chairman (former)
    Korea Fencing Association Chairman
    Seoul City Ochastra Chairman
    Shin had served as SK's vice chairman for more than 30 years and had significantly contributed to making SK company a global company.
    Shin, Hun Cheol is highly respected by many young people in Korea because of his efforts to contribute to society and his personality. He has also been selected at Forbes as one of the 48 best angel donors in Asia. Mr. Shin joined Cube Intelligence as a Standing Advisor through a solid relationship with Dr.Bong H. Lee started from Green Car business.


    • Richard Biggs
      • abnamro

      Richard Biggs graduated London School of Economics and worked as an analyst in financial consulting sector (substantive work for multinational M&A deals) at Ernst & Young. And also worked as a research at ABN-Amro.

    • Bong H. Lee, Ph.D.
      • stanford
      • albany
      • greencar

      Dr. Bong Lee graduated from Stanford and worked for 12 years at New York University. Since then, Dr. Lee has been working as a car IT professional in the automotive field for 15 years. Established Xroad and achieved sales of $300M USD by automobile telematics and listed on KOSDAQ. After that, Dr. Lee established Green Car car sharing and sold it to KT Kumho Rent-a-Car. At present, green cars are known as more than 5,000 vehicles and more than 300M USD market caps. As Chairman of CUBE in 2017, Dr. Lee is leading the development of CUBE as a chairman.

    • Ryu Hae Yeon,Ph.D
      • mit

      Dr. Ryu holds a doctorate in Financial. She studied at Sloan School and Artificial Intelligence Lab at MIT. She was CFO at Xroad and CFO at EC Miner, which is the big data specialist company. She is currently working as CFO of CUBE.

    • Robert Cooke
      (Director of London office)

        Robert studied Social and Cultural Studies and a Foundation Degree in Anthropology at Goldsmith's University, London. Experienced in business development, marketing, start-ups, and consulting for a large Korean corporation. Applying these skills with a keen interest focused on the potential for blockchain technology and machine learning to revolutionise the way we live and interact with the world.

      • Dr. Jae Sung Lee
        (Director of Autonomous Car Department)
        • mit
        • hyu

        Jae Sung Lee led the founding of CUBE in 2017 and is currently leading the Autonomous car department as a director. Jae Sung Lee is a medical doctor and has been involved with the Cube team since the Green Car project. He came to the Cube after working in the hospital. He majored in mechanical engineering at Hanyang University. After that, he graudated medical school of Kyung Hee University, and worked at Kyung Hee University Hospital.

      • Kim Bo Seob
        (Director of Carsharing business department)

        Bo Seob has been deeply involved in automotive information technology for 15 years. He applied advanced services such as telematics, black box, navigation and was a leading director of the Lotte Green Car; Korea’s first car sharing platform. With years of experiences in establishing, managing an early platform, he is a director of CUBE Intelligence.

      • Jean Philippe
        (Director of BD)

          Jean Philippe is a Business Development, Strategy director of CUBE Intelligence. Born in Paris, France, worked in UNESCO headquarters and has an experience of managing world scale business organization at EU Chamber of Commerce. Also has an experience as director of business development and strategy in Kolon Global.


        • Geon H. Lee, Ph.D.
          • kaist
          • samsung

          Lee received a Ph.D. in Physics from Yonsei University. Since then, he had worked as a researcher at the Brain Science Institute at KAIST. Dr. Lee worked as a researcher at ETRI, and for 15 years Dr. Lee worked for the next generation technology team at Samsung Electronics central research institute. Dr. Lee has worked on the Artificial Intelligence team and is currently in charge of CUBE's AI development.

        • Yoon Young
          • texas
          • toronto

          Dr. Yoon Young studied AI at the University of Toronto, which is renowned for artificial intelligence. He worked at the IBM Watson Institute, where is known as the foremost leader in artificial intelligence around the world, also had a career at Samsung Electronics. Currently, he is a professor of computer science at Hongik University. He is majoring in cyber security solutions and artificial intelligence applications. Currently he is developing CUBE's Blockchain-based Security.


        Members of Cube Intelligence