Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.
Upcoming SlideShare
What to Upload to SlideShare
Download to read offline and view in fullscreen.


190221 masterclass blockchain

Download to read offline

Blockchain MasterClass during IT Strategie Tage Hamburg Feb 21, 2019

Related Books

Free with a 30 day trial from Scribd

See all
  • Be the first to like this

190221 masterclass blockchain

  2. 2. Videoaufzeichnung
  3. 3. Ihre heutigen Referenten
  4. 4. IHRE HEUTIGEN REFERENTEN: VOLKER SKWAREK Kurz Vita Volker Skwarek § Professor für Technische Informatik an der HAW Hamburg § Elektroingenieur mit Spezialisierung auf Sensornetzwerke § Sprecher des Forschungs- und Transferzentrum „Digitalisierte Wirtschaftsprozesse“ § Leiter der Forschungsgruppe DLT³-Hamburg § Convenor (Arbeitsgruppenleiter) bei ISO TC 307 „Blockchain and Distributed Ledger Technologies“, WG 3: Smart Contracts § DIN-Vertreter in der europäischen Expertengruppe zu Blockchains bei CENELEC § Mitarbeit in ITU-T, Focus Group Distributed Ledger Technologies
  5. 5. IHRE HEUTIGEN REFERENTEN: MARCUS OLSZOK Kurz Vita Marcus Olszok § Unternehmen: GfK SE, Bauer Media Group § Seit 2018 Kroschke Gruppe – Produktmanager Digitale Lösungen § Product Lead § Erste Schritte im Bereich Blockchain seit 2011 § Schwerpunkte § Software Produkt Management § Lean Management § Lean Startup § Disruption § Digitalisierung
  6. 6. IHRE HEUTIGEN REFERENTEN: JAN CHRISTOPH EBERSBACH Kurz Vita Jan Christoph Ebersbach § Informatiker und MBA § Unternehmen: Univention GmbH § Seit Februar 2018 CHAINSTEP GmbH – Head of Blockchain Engineering § >10 Jahre Erfahrung IT-Consulting und Produkt- Management § Schwerpunkte § Open Source Software § Identity- und Infrastruktur-Management § Produkt Management § Blockchain seit Mitte 2017
  7. 7. AGENDA ZUR BLOCKCHAIN MASTERCLASS Thema Referent Blockchain kompakt Jan Christoph Ebersbach Blockchain-Technologie Überblick zum aktuellen Stand Schritte zum Einsatz Technische Implementierung Volker Skwarek Projekteinstieg Technik Unterschiede zwischen Blockchains Smart Contracts Projekt-Beispiel carTRUST Marcus Olszok Ziele des Projekts Relevanz der Blockchain Live-Demo
  8. 8. About CHAINSTEP
  10. 10. BRAND PRESENCE CHAINSTEP.COM Current broschureWebsite
  11. 11. >600 Use CasesArticlesEventsWebinars CONTENT AVAILABLE ON CHAINSTEP.COM
  12. 12. CHAINSTEP PLANS TO BRING BLOCKCHAIN TO THE REAL ECONOMY IN THREE STEPS 03Step by step work on own Assets Develop and establish blockchain- based concepts i.e. for 3D printing, SCM, License Management and alike. First result: COBILITY – the decentralized network of the transport logistics. 01Blockchain Consultancy and Trainings Concentrate on adjacent businesses like Supply Chain Management and Logistics. Cooperate with training institutes. Support of the “Innovationsforum Blockchain” (funded by BMBF) 02Realization of Customer Projects From strategy over use case and prototype to implementation. Utilizing own resources and our wide network of leading experts. As of 10/18As of 09/17Started 05/17
  13. 13. Blockchain Basics
  14. 14. WHITEPAPER BITCOIN PUBLISHED OCT 31, 2008 BY SATOSHI NAKAMOTO Bitcoin: A Peer-to-Peer Electronic Cash System Satoshi Nakamoto Abstract. A purely peer-to-peer version of electronic cash would allow online payments to be sent directly from one party to another without going through a financial institution. Digital signatures provide part of the solution, but the main benefits are lost if a trusted third party is still required to prevent double-spending. We propose a solution to the double-spending problem using a peer-to-peer network. The network timestamps transactions by hashing them into an ongoing chain of hash-based proof-of-work, forming a record that cannot be changed without redoing the proof-of-work. The longest chain not only serves as proof of the sequence of events witnessed, but proof that it came from the largest pool of CPU power. As long as a majority of CPU power is controlled by nodes that are not cooperating to attack the network, they'll generate the longest chain and outpace attackers. The network itself requires minimal structure. Messages are broadcast on a best effort basis, and nodes can leave and rejoin the network at will, accepting the longest proof-of-work chain as proof of what happened while they were gone. 1. Introduction Commerce on the Internet has come to rely almost exclusively on financial institutions serving as trusted third parties to process electronic payments. While the system works well enough for most transactions, it still suffers from the inherent weaknesses of the trust based model. Completely non-reversible transactions are not really possible, since financial institutions cannot avoid mediating disputes. The cost of mediation increases transaction costs, limiting the minimum practical transaction size and cutting off the possibility for small casual transactions, and there is a broader cost in the loss of ability to make non-reversible payments for non- reversible services. With the possibility of reversal, the need for trust spreads. Merchants must be wary of their customers, hassling them for more information than they would otherwise need. A certain percentage of fraud is accepted as unavoidable. These costs and payment uncertainties can be avoided in person by using physical currency, but no mechanism exists to make payments over a communications channel without a trusted party. What is needed is an electronic payment system based on cryptographic proof instead of trust, allowing any two willing parties to transact directly with each other without the need for a trusted third party. Transactions that are computationally impractical to reverse would protect sellers from fraud, and routine escrow mechanisms could easily be implemented to protect buyers. In this paper, we propose a solution to the double-spending problem using a peer-to-peer distributed timestamp server to generate computational proof of the chronological order of transactions. The system is secure as long as honest nodes collectively control more CPU power than any cooperating group of attacker nodes. 1 2. Transactions We define an electronic coin as a chain of digital signatures. Each owner transfers the coin to the next by digitally signing a hash of the previous transaction and the public key of the next owner and adding these to the end of the coin. A payee can verify the signatures to verify the chain of ownership. The problem of course is the payee can't verify that one of the owners did not double-spend the coin. A common solution is to introduce a trusted central authority, or mint, that checks every transaction for double spending. After each transaction, the coin must be returned to the mint to issue a new coin, and only coins issued directly from the mint are trusted not to be double-spent. The problem with this solution is that the fate of the entire money system depends on the company running the mint, with every transaction having to go through them, just like a bank. We need a way for the payee to know that the previous owners did not sign any earlier transactions. For our purposes, the earliest transaction is the one that counts, so we don't care about later attempts to double-spend. The only way to confirm the absence of a transaction is to be aware of all transactions. In the mint based model, the mint was aware of all transactions and decided which arrived first. To accomplish this without a trusted party, transactions must be publicly announced [1], and we need a system for participants to agree on a single history of the order in which they were received. The payee needs proof that at the time of each transaction, the majority of nodes agreed it was the first received. 3. Timestamp Server The solution we propose begins with a timestamp server. A timestamp server works by taking a hash of a block of items to be timestamped and widely publishing the hash, such as in a newspaper or Usenet post [2-5]. The timestamp proves that the data must have existed at the time, obviously, in order to get into the hash. Each timestamp includes the previous timestamp in its hash, forming a chain, with each additional timestamp reinforcing the ones before it. 2 Block Item Item ... Hash Block Item Item ... Hash Transaction Owner 1's Public Key Owner 0's Signature Hash Transaction Owner 2's Public Key Owner 1's Signature Hash Verify Transaction Owner 3's Public Key Owner 2's Signature Hash Verify Owner 2's Private Key Owner 1's Private Key Si gn Si gn Owner 3's Private Key 4. Proof-of-Work To implement a distributed timestamp server on a peer-to-peer basis, we will need to use a proof- of-work system similar to Adam Back's Hashcash [6], rather than newspaper or Usenet posts. The proof-of-work involves scanning for a value that when hashed, such as with SHA-256, the hash begins with a number of zero bits. The average work required is exponential in the number of zero bits required and can be verified by executing a single hash. For our timestamp network, we implement the proof-of-work by incrementing a nonce in the block until a value is found that gives the block's hash the required zero bits. Once the CPU effort has been expended to make it satisfy the proof-of-work, the block cannot be changed without redoing the work. As later blocks are chained after it, the work to change the block would include redoing all the blocks after it. The proof-of-work also solves the problem of determining representation in majority decision making. If the majority were based on one-IP-address-one-vote, it could be subverted by anyone able to allocate many IPs. Proof-of-work is essentially one-CPU-one-vote. The majority decision is represented by the longest chain, which has the greatest proof-of-work effort invested in it. If a majority of CPU power is controlled by honest nodes, the honest chain will grow the fastest and outpace any competing chains. To modify a past block, an attacker would have to redo the proof-of-work of the block and all blocks after it and then catch up with and surpass the work of the honest nodes. We will show later that the probability of a slower attacker catching up diminishes exponentially as subsequent blocks are added. To compensate for increasing hardware speed and varying interest in running nodes over time, the proof-of-work difficulty is determined by a moving average targeting an average number of blocks per hour. If they're generated too fast, the difficulty increases. 5. Network The steps to run the network are as follows: 1) New transactions are broadcast to all nodes. 2) Each node collects new transactions into a block. 3) Each node works on finding a difficult proof-of-work for its block. 4) When a node finds a proof-of-work, it broadcasts the block to all nodes. 5) Nodes accept the block only if all transactions in it are valid and not already spent. 6) Nodes express their acceptance of the block by working on creating the next block in the chain, using the hash of the accepted block as the previous hash. Nodes always consider the longest chain to be the correct one and will keep working on extending it. If two nodes broadcast different versions of the next block simultaneously, some nodes may receive one or the other first. In that case, they work on the first one they received, but save the other branch in case it becomes longer. The tie will be broken when the next proof- of-work is found and one branch becomes longer; the nodes that were working on the other branch will then switch to the longer one. 3 Block Prev Hash Nonce Tx Tx ... Block Prev Hash Nonce Tx Tx ... New transaction broadcasts do not necessarily need to reach all nodes. As long as they reach many nodes, they will get into a block before long. Block broadcasts are also tolerant of dropped messages. If a node does not receive a block, it will request it when it receives the next block and realizes it missed one. 6. Incentive By convention, the first transaction in a block is a special transaction that starts a new coin owned by the creator of the block. This adds an incentive for nodes to support the network, and provides a way to initially distribute coins into circulation, since there is no central authority to issue them. The steady addition of a constant of amount of new coins is analogous to gold miners expending resources to add gold to circulation. In our case, it is CPU time and electricity that is expended. The incentive can also be funded with transaction fees. If the output value of a transaction is less than its input value, the difference is a transaction fee that is added to the incentive value of the block containing the transaction. Once a predetermined number of coins have entered circulation, the incentive can transition entirely to transaction fees and be completely inflation free. The incentive may help encourage nodes to stay honest. If a greedy attacker is able to assemble more CPU power than all the honest nodes, he would have to choose between using it to defraud people by stealing back his payments, or using it to generate new coins. He ought to find it more profitable to play by the rules, such rules that favour him with more new coins than everyone else combined, than to undermine the system and the validity of his own wealth. 7. Reclaiming Disk Space Once the latest transaction in a coin is buried under enough blocks, the spent transactions before it can be discarded to save disk space. To facilitate this without breaking the block's hash, transactions are hashed in a Merkle Tree [7][2][5], with only the root included in the block's hash. Old blocks can then be compacted by stubbing off branches of the tree. The interior hashes do not need to be stored. A block header with no transactions would be about 80 bytes. If we suppose blocks are generated every 10 minutes, 80 bytes * 6 * 24 * 365 = 4.2MB per year. With computer systems typically selling with 2GB of RAM as of 2008, and Moore's Law predicting current growth of 1.2GB per year, storage should not be a problem even if the block headers must be kept in memory. 4 BlockBlock Block Header (Block Hash) Prev Hash Nonce Hash01 Hash0 Hash1 Hash2 Hash3 Hash23 Root Hash Hash01 Hash2 Tx3 Hash23 Block Header (Block Hash) Root Hash Transactions Hashed in a Merkle Tree After Pruning Tx0-2 from the Block Prev Hash Nonce Hash3 Tx0 Tx1 Tx2 Tx3 8. Simplified Payment Verification It is possible to verify payments without running a full network node. A user only needs to keep a copy of the block headers of the longest proof-of-work chain, which he can get by querying network nodes until he's convinced he has the longest chain, and obtain the Merkle branch linking the transaction to the block it's timestamped in. He can't check the transaction for himself, but by linking it to a place in the chain, he can see that a network node has accepted it, and blocks added after it further confirm the network has accepted it. As such, the verification is reliable as long as honest nodes control the network, but is more vulnerable if the network is overpowered by an attacker. While network nodes can verify transactions for themselves, the simplified method can be fooled by an attacker's fabricated transactions for as long as the attacker can continue to overpower the network. One strategy to protect against this would be to accept alerts from network nodes when they detect an invalid block, prompting the user's software to download the full block and alerted transactions to confirm the inconsistency. Businesses that receive frequent payments will probably still want to run their own nodes for more independent security and quicker verification. 9. Combining and Splitting Value Although it would be possible to handle coins individually, it would be unwieldy to make a separate transaction for every cent in a transfer. To allow value to be split and combined, transactions contain multiple inputs and outputs. Normally there will be either a single input from a larger previous transaction or multiple inputs combining smaller amounts, and at most two outputs: one for the payment, and one returning the change, if any, back to the sender. It should be noted that fan-out, where a transaction depends on several transactions, and those transactions depend on many more, is not a problem here. There is never the need to extract a complete standalone copy of a transaction's history. 5 Transaction In ... In Out ... Hash01 Hash2 Hash3 Hash23 Block Header Merkle Root Prev Hash Nonce Block Header Merkle Root Prev Hash Nonce Block Header Merkle Root Prev Hash Nonce Merkle Branch for Tx3 Longest Proof-of-Work Chain Tx3 10. Privacy The traditional banking model achieves a level of privacy by limiting access to information to the parties involved and the trusted third party. The necessity to announce all transactions publicly precludes this method, but privacy can still be maintained by breaking the flow of information in another place: by keeping public keys anonymous. The public can see that someone is sending an amount to someone else, but without information linking the transaction to anyone. This is similar to the level of information released by stock exchanges, where the time and size of individual trades, the "tape", is made public, but without telling who the parties were. As an additional firewall, a new key pair should be used for each transaction to keep them from being linked to a common owner. Some linking is still unavoidable with multi-input transactions, which necessarily reveal that their inputs were owned by the same owner. The risk is that if the owner of a key is revealed, linking could reveal other transactions that belonged to the same owner. 11. Calculations We consider the scenario of an attacker trying to generate an alternate chain faster than the honest chain. Even if this is accomplished, it does not throw the system open to arbitrary changes, such as creating value out of thin air or taking money that never belonged to the attacker. Nodes are not going to accept an invalid transaction as payment, and honest nodes will never accept a block containing them. An attacker can only try to change one of his own transactions to take back money he recently spent. The race between the honest chain and an attacker chain can be characterized as a Binomial Random Walk. The success event is the honest chain being extended by one block, increasing its lead by +1, and the failure event is the attacker's chain being extended by one block, reducing the gap by -1. The probability of an attacker catching up from a given deficit is analogous to a Gambler's Ruin problem. Suppose a gambler with unlimited credit starts at a deficit and plays potentially an infinite number of trials to try to reach breakeven. We can calculate the probability he ever reaches breakeven, or that an attacker ever catches up with the honest chain, as follows [8]: p = probability an honest node finds the next block q = probability the attacker finds the next block qz = probability the attacker will ever catch up from z blocks behind qz= { 1 if p≤q q/ p z if pq} 6 Identities Transactions Trusted Third Party Counterparty Public Identities Transactions Public New Privacy Model Traditional Privacy Model Given our assumption that p > q, the probability drops exponentially as the number of blocks the attacker has to catch up with increases. With the odds against him, if he doesn't make a lucky lunge forward early on, his chances become vanishingly small as he falls further behind. We now consider how long the recipient of a new transaction needs to wait before being sufficiently certain the sender can't change the transaction. We assume the sender is an attacker who wants to make the recipient believe he paid him for a while, then switch it to pay back to himself after some time has passed. The receiver will be alerted when that happens, but the sender hopes it will be too late. The receiver generates a new key pair and gives the public key to the sender shortly before signing. This prevents the sender from preparing a chain of blocks ahead of time by working on it continuously until he is lucky enough to get far enough ahead, then executing the transaction at that moment. Once the transaction is sent, the dishonest sender starts working in secret on a parallel chain containing an alternate version of his transaction. The recipient waits until the transaction has been added to a block and z blocks have been linked after it. He doesn't know the exact amount of progress the attacker has made, but assuming the honest blocks took the average expected time per block, the attacker's potential progress will be a Poisson distribution with expected value: =z q p To get the probability the attacker could still catch up now, we multiply the Poisson density for each amount of progress he could have made by the probability he could catch up from that point: ∑ k=0 ∞  k e − k! ⋅{q/ p z−k if k≤z 1 if kz} Rearranging to avoid summing the infinite tail of the distribution... 1−∑ k=0 z k e− k! 1−q/ p z−k  Converting to C code... #include <math.h> double AttackerSuccessProbability(double q, int z) { double p = 1.0 - q; double lambda = z * (q / p); double sum = 1.0; int i, k; for (k = 0; k <= z; k++) { double poisson = exp(-lambda); for (i = 1; i <= k; i++) poisson *= lambda / i; sum -= poisson * (1 - pow(q / p, z - k)); } return sum; } 7 Running some results, we can see the probability drop off exponentially with z. q=0.1 z=0 P=1.0000000 z=1 P=0.2045873 z=2 P=0.0509779 z=3 P=0.0131722 z=4 P=0.0034552 z=5 P=0.0009137 z=6 P=0.0002428 z=7 P=0.0000647 z=8 P=0.0000173 z=9 P=0.0000046 z=10 P=0.0000012 q=0.3 z=0 P=1.0000000 z=5 P=0.1773523 z=10 P=0.0416605 z=15 P=0.0101008 z=20 P=0.0024804 z=25 P=0.0006132 z=30 P=0.0001522 z=35 P=0.0000379 z=40 P=0.0000095 z=45 P=0.0000024 z=50 P=0.0000006 Solving for P less than 0.1%... P < 0.001 q=0.10 z=5 q=0.15 z=8 q=0.20 z=11 q=0.25 z=15 q=0.30 z=24 q=0.35 z=41 q=0.40 z=89 q=0.45 z=340 12. Conclusion We have proposed a system for electronic transactions without relying on trust. We started with the usual framework of coins made from digital signatures, which provides strong control of ownership, but is incomplete without a way to prevent double-spending. To solve this, we proposed a peer-to-peer network using proof-of-work to record a public history of transactions that quickly becomes computationally impractical for an attacker to change if honest nodes control a majority of CPU power. The network is robust in its unstructured simplicity. Nodes work all at once with little coordination. They do not need to be identified, since messages are not routed to any particular place and only need to be delivered on a best effort basis. Nodes can leave and rejoin the network at will, accepting the proof-of-work chain as proof of what happened while they were gone. They vote with their CPU power, expressing their acceptance of valid blocks by working on extending them and rejecting invalid blocks by refusing to work on them. Any needed rules and incentives can be enforced with this consensus mechanism. 8 References [1] W. Dai, "b-money,", 1998. [2] H. Massias, X.S. Avila, and J.-J. Quisquater, "Design of a secure timestamping service with minimal trust requirements," In 20th Symposium on Information Theory in the Benelux, May 1999. [3] S. Haber, W.S. Stornetta, "How to time-stamp a digital document," In Journal of Cryptology, vol 3, no 2, pages 99-111, 1991. [4] D. Bayer, S. Haber, W.S. Stornetta, "Improving the efficiency and reliability of digital time-stamping," In Sequences II: Methods in Communication, Security and Computer Science, pages 329-334, 1993. [5] S. Haber, W.S. Stornetta, "Secure names for bit-strings," In Proceedings of the 4th ACM Conference on Computer and Communications Security, pages 28-35, April 1997. [6] A. Back, "Hashcash - a denial of service counter-measure,", 2002. [7] R.C. Merkle, "Protocols for public key cryptosystems," In Proc. 1980 Symposium on Security and Privacy, IEEE Computer Society, pages 122-133, April 1980. [8] W. Feller, "An introduction to probability theory and its applications," 1957. 9
  15. 15. A Blockchain is • a central data structure • that is managed by decentralized computers • and allows participants to transact directly with one another. Source: DutchCoin on YouTube Source: LEDGER
  16. 16. A Blockchain is • a centralized data structure • that is managed by decentralized computers • and allows participants to transact directly with one another. Source: DutchCoin on YouTube Source: CRYPTOGRAPHIC KEYS
  19. 19. peer-2-peer one data store tamper-proof private decentralized immutable BLOCKCHAIN CHARACTERISTICS
  20. 20. ETHEREUM BLOCKCHAIN 2.0 Seite 20
  21. 21. „My one sentence definition of "smart contract": A smart contract is a com- puter program that directly controls some kind of digital asset. “ Vitalik Buterin Founder Boost VC Seite 21
  23. 23. KEY BENEFITS BLOCKCHAIN TECHNOLOGY increased transparency improved risk diversification automated regulatory oversight less systemic risk internal record keeping documentation processing multiparty process compatibility M2M and AI on the internet (IoT) more automation cryptographically secured/validated accountability and provenance ownership tracking more security increased efficiency decreased costs faster processing disintermediation Seite 23
  24. 24. Public & Enterprise Blockchains
  26. 26. Is Blockchain still alive?
  27. 27. Page 27 Source: BITCOIN PRICE DEVELOPMENT
  29. 29. Org C THE ENTERPRISE SCOPE OF BLOCKCHAIN Org A Org BConnect Share data Connect industry participants Define common data formats and b. logic Build new services Technology Business Governance Retain data ownership Political, Social-cultural, Economic, Technological, Legal, and Environmental Connect Org D Org E
  30. 30. Source: rolling-out-the-first-us-bank-backed-cryptocurrency-to- transform-payments--.html Source: NOTEWORTHY BLOCKCHAIN DEVELOPMENTS IN 2018/19 Finance Supply Chain
  31. 31. NOTEWORTHY BLOCKCHAIN DEVELOPMENTS IN 2018/19 Source: foundation-for-blockchain-timestamps End user Legislation
  32. 32. Important Blockchain Alliances
  35. 35. INDUSTRY INITIATIVES Source:,, bita.studi
  36. 36. Decentralized Network for Transport Logistics
  37. 37. The structure of COBILITY Process or business logic Protocol level Blockchain based transactions and IoT platform Business governance Service1 Service2 Service3 Service4 Service5 Service6 Service7 Service8 Service9 Servicen ........ ........
  38. 38. COBILITY Kickoff, November 28, 2018 Digital Hub Logistics,Hamburg-Speichstadt, November 28, 2018
  39. 39. Identify Use Cases
  40. 40. BLOCKCHAIN IN USE: THE MOST IMPORTANT PROJECTS „Blockchain in use“ segments Segment No. of projects* Finance 130 SCM/transport/logistics 63 Enterprise 42 Government 39 Energy 33 Internet of Things 27 Security 19 Entertainment 18 * As of May 1, 2018, 494 projects in total, multiple tagging possible
  42. 42. SUPPORT THE CREATIVE PROCESS WITH DIRECTED QUESTIONS* *nach Prof. Dr. Gilbert Fridgen, Fraunhofer FIT
  44. 44. Page 44 THANK YOU contact Jan Christoph Ebersbach Head of Blockchain Engineering phones Mobile +49 1522 977 27 44 eMail online Twitter/JCEbersbach
  45. 45. Technical Implementation Prof. Dr.-Ing. Volker Skwarek
  46. 46. MASTERCLASS BLOCKCHAIN-TECHNOLOGIEN Hamburger IT-Strategietage Prof. Dr.-Ing. Volker Skwarek Hochschule für Angewandte Wissenschaften Hamburg 21.02.2019
  47. 47. Project example carTRUST Marcus Olszok
  48. 48. D E I N F A H R Z E U G R E G I S T E R A U F B L O C K C H A I N - B A S I S
  49. 49. K E R N U N T E R N E H M E N 1957 Führender Multi-Service-Dienstleister rund um Fahrzeuge 1998 IT-gestützte Prozesslösungen rund um große Fahrzeugflotten 2017 Entwicklung von Fahrzeug-Kennzeichungs- systemen für den nationalen & internationalen Markt 1993 Gemeinnützige Stiftung zur Förderung von Kindern 1990 Planung und Realisierung von Immobilienprojekten 2016 Entwicklung von Telematik-Lösungen rund um das Schaden- und Fahrzeug- Lifecycle-Management
  50. 50. Z A H L E N | D A T E N | F A K T E N 50 Zulassungen und Still- legungen pro Jahr 1 Mio. Fahrzeug-Dokumente im Bestand mit 1,1 Mio. Bewegungen pro Tag 8.000 - 13.000 50 40.000 Fahrzeug- überführungen pro Jahr 300.000 Kfz-Schlüssel und Materialien im Bestand 12.000 Autohaus-Kunden in der Betreuung 9.000 Mitarbeiter 6,2 Mio. Schilder pro Jahr
  51. 51. D E R D R E H - U N D A N G E L P U N K T EIGENTUM Z U L A S S U N G S - W E S E N C A R S H A R I N G K F Z - H A N D E L F I N A N Z I E R U N G
  52. 52. DAS AKTUELLE ZULASSUNGSWESEN IST nicht skalierbar
  53. 53. Z A H L E N | D A T E N | F A K T E N 20%
  54. 54. Z A H L E N | D A T E N | F A K T E N 20% 80%S TA N DA R D Z U L A S S U N G E N
  55. 55. D I E G R E N Z E N V O N I - K F Z DA S E I G E N T U M A M FA H R Z E U G W I R D I MME R N O C H Ü B E R D E N A N A LO G E N FA H R Z E U G B R I E F A B G E B I L D E T Die Hürden zur Nutzung für die Verbraucher sind viel zu hoch Die Massenzulassung durch Dienstleister und Hersteller wurde bisher nicht berücksichtigt Die Technik ist nicht dafür ausgelegt, eine echte Digitalisierung zu ermöglichen
  56. 56. Z A H L E N | D A T E N | F A K T E N 20%
  57. 57. W A S I S T C A R T R U S T S MA RT CO N T R AC T S B LO C KC H A I N bringt alle zusammen
  58. 58. TRANSAKTIONS- UND MANIPULATIONSSICHER Robust gegenüber Angriffen
  59. 59. E x i s t e n z E i g e n t u m V e r f ü g u n g s r e c h t e & N u t z u n g s r e c h t e B A N K E N K U N D E E i g e n t u m E i g e n t u m S t a t u s T Ü V / D E K R A V E R S I C H E R - U N G E N H Ä N D L E R P L AT T F O R M H E R S T E L L E R
  60. 60. L I V E D E M O
  61. 61. V O R T E I L E Sofortige Zulassung, Um- oder Abmeldung Wegfall von analogem Dokumentenmanagement Kundenbindung durch neue Services Transparente Fahrzeughistorie Massenzulassungen via Schnittstelle Schutz vor betrügerischen Handlungen Deutliche Entlastung der Zulassungsstellen
  62. 62. K O N T A K T Marcus Olszok Product Lead carTRUST +49 151 551 489 43
  63. 63. Page 63 thank you.
  64. 64. Page 64 NEWSLETTER
  65. 65. Page 65
  66. 66. Page 66 thank you.
  67. 67. Page 67 YOUR CONTACT contact Jan Christoph Ebersbach Head of Blockchain Engineering phones Mobile +49 1522 977 27 44 eMail online Twitter/JCEbersbach

Blockchain MasterClass during IT Strategie Tage Hamburg Feb 21, 2019


Total views


On Slideshare


From embeds


Number of embeds