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Extracting Event Logs for Process
Mining from Data Stored on the
Blockchain
Roman Mühlberger, Stefan Bachhofner, Claudio Di Ciccio,
Luciano García-Bañuelos, Orlenys López-Pintado
Second Int. Workshop on Security and Privacy-
enhanced Business Process Management
(SPBP’19), 2 September 2019, Vienna, Austria
VIENNA, SEPTEMBER 2019
https://easychair.org/publications/preprint/cW8l
https://easychair.org/publications/preprint/cW8
We can execute processes on the
blockchain
Weber, Xu, Riveret, Governatori, Ponomarev, Mendling: Untrusted business process monitoring and execution using blockchain. In: Proc. of BPM. Springer, 2016.
D.C, Cecconi, Dumas, Garcı́a-Bañuelos, et al. Blockchain support for collaborative business processes. Informatik Spektrum pp. 1–9 (May 2019)
© MÜHLBERGER, BACHHOFNER, DI CICCIO, GARCÍA-BAÑUELOS, LÓPEZ-PINTADOPAGE 2 02/09/2019
https://easychair.org/publications/preprint/cW8
Can we do process analytics on the
blockchain?
© MÜHLBERGER, BACHHOFNER, DI CICCIO, GARCÍA-BAÑUELOS, LÓPEZ-PINTADOPAGE 3 02/09/2019
From process knowledge to transactional data
Blockchain as a process
infrastructure
© MÜHLBERGER, BACHHOFNER, DI CICCIO, GARCÍA-BAÑUELOS, LÓPEZ-PINTADOPAGE 4 02/09/2019
https://easychair.org/publications/preprint/cW8
 Transfer of (crypto)assets (Ether, Bitcoin, Litecoin, EOS, …)
from account A to account B
Transaction
Externally Owned
Account (EOA)
Externally Owned
Account (EOA)
Digital signature
© MÜHLBERGER, BACHHOFNER, DI CICCIO, GARCÍA-BAÑUELOS, LÓPEZ-PINTADOPAGE 5 02/09/2019
https://easychair.org/publications/preprint/cW8
Ledger
 Ordered collection of transactions
 The order matters!
© MÜHLBERGER, BACHHOFNER, DI CICCIO, GARCÍA-BAÑUELOS, LÓPEZ-PINTADOPAGE 6 02/09/2019
https://easychair.org/publications/preprint/cW8
Block
 Blocks group and collate transactions
 The order matters!
© MÜHLBERGER, BACHHOFNER, DI CICCIO, GARCÍA-BAÑUELOS, LÓPEZ-PINTADOPAGE 7 02/09/2019
https://easychair.org/publications/preprint/cW8
Blockchain
 Blocks refer back to direct predecessors
 The order matters!
© MÜHLBERGER, BACHHOFNER, DI CICCIO, GARCÍA-BAÑUELOS, LÓPEZ-PINTADOPAGE 8 02/09/2019
https://easychair.org/publications/preprint/cW8
The blockchain remembers
© MÜHLBERGER, BACHHOFNER, DI CICCIO, GARCÍA-BAÑUELOS, LÓPEZ-PINTADOPAGE 9 02/09/2019
https://easychair.org/publications/preprint/cW8
Hashing
 Input/output (I/O)
 I: (bit)string (message)
 Any length
 O: fixed-length hash value (digest)
 No secret key
 All operations are public
© http://www.eadt.co.uk/news/days-gone-by-talk-of-ipswich-s-old-postal-service-provides-a-
first-class-delivery-of-memories-1-4691350
© MÜHLBERGER, BACHHOFNER, DI CICCIO, GARCÍA-BAÑUELOS, LÓPEZ-PINTADOPAGE 10 02/09/2019
https://easychair.org/publications/preprint/cW8
 SHA3("Hi there!") =
0xA61E6BF963B21B593248A1E0972D434
92E018E5E3B8300B0DF21D2D409EC8580
 SHA3("Hello there!") =
0xBCAA8219A31B43EE23EAEDE08AEBAE3
9CDBA2DD382D3579DE9463070E53DA6BD
 SHA3("BPM") =
0x5AAC68BEA69BB8F9197B69476C4A697
72183D1FA6BB622460072CF60E9047F71
 SHA3("BPMS") =
0x6573FBE16AD1CA39D560F9EA855BAD4
771D988D6E1635FAD7BF65CF8C7552BD1
Hashing and preimage resistance
 Input/output (I/O)
 I: (bit)string (message)
 Any length
 O: fixed-length hash value (digest)
 No secret key
 All operations are public
© MÜHLBERGER, BACHHOFNER, DI CICCIO, GARCÍA-BAÑUELOS, LÓPEZ-PINTADOPAGE 11 02/09/2019
https://easychair.org/publications/preprint/cW8
From peer-to-peer electronic cash system
to programmable distributed environment
“A universal platform with
internal programming language,
so that everyone could write
any app”
[V. Buterin]
https://www.ethereum.org/
02/09/2019
© MÜHLBERGER, BACHHOFNER, DI CICCIO, GARCÍA-
BAÑUELOS, LÓPEZ-PINTADO
PAGE 12
https://easychair.org/publications/preprint/cW8
A programmable distributed environment
Gas price (execution costs)
Input (and output) encoded data. Yes, hashing strikes back.
Smart Contract
Account
© MÜHLBERGER, BACHHOFNER, DI CICCIO, GARCÍA-BAÑUELOS, LÓPEZ-PINTADOPAGE 13 02/09/2019
https://easychair.org/publications/preprint/cW8
 Smart Contracts in Ethereum
 live in the Ethereum environment
 have direct control over own balance
and key/value storage
 Called smart because
executed by a machine
Smart Contracts are pieces of code
© MÜHLBERGER, BACHHOFNER, DI CICCIO, GARCÍA-BAÑUELOS, LÓPEZ-PINTADOPAGE 14
Code courtesy of Ingo Weber
02/09/2019
https://easychair.org/publications/preprint/cW8
Smart Contracts are pieces of code
© MÜHLBERGER, BACHHOFNER, DI CICCIO, GARCÍA-BAÑUELOS, LÓPEZ-PINTADOPAGE 15
Code courtesy of Ingo Weber
Business logic of a process
encoded as a smart contract💡
02/09/2019
https://easychair.org/publications/preprint/cW8
 Every task corresponds to a function
 Application Binary Interface (ABI)
 Contract descriptor
Concept
Understanding the enacted task
Example
 Function signature:
function receive_order(uint256) public
 Corresponding ABI:
… { "constant":false,
"inputs":[{"name":"workitemId","type":"uint256"}],
"name":"receive_order",
"outputs":[],
"payable":false,
"stateMutability":"nonpayable",
"type":"function“ } …
© MÜHLBERGER, BACHHOFNER, DI CICCIO, GARCÍA-BAÑUELOS, LÓPEZ-PINTADOPAGE 16 02/09/2019
https://easychair.org/publications/preprint/cW8
Understanding the enacted task
Example
 Function signature:
function receive_order(uint256) public
 Corresponding ABI:
… { "constant":false,
"inputs":[{"name":"workitemId","type":"uint256"}],
"name":"receive_order",
"outputs":[],
"payable":false,
"stateMutability":"nonpayable",
"type":"function“ } …
SHA3(“receive_order")=0xb20a9aa9619b9dc0c6a76bef0
c51350699afd93b05757350f8c20de71bc75e18
D.C, Cecconi, Mendling, Felix, Haas, Lilek, Riel, Rumpl, Uhlig: Blockchain-Based Traceability of Inter-organisational Business Processes. In: Proc. of BMSD. Springer, 2018
© MÜHLBERGER, BACHHOFNER, DI CICCIO, GARCÍA-BAÑUELOS, LÓPEZ-PINTADOPAGE 17
Function selector
02/09/2019
From event logs to process knowledge
Process mining
© MÜHLBERGER, BACHHOFNER, DI CICCIO, GARCÍA-BAÑUELOS, LÓPEZ-PINTADOPAGE 18 02/09/2019
https://easychair.org/publications/preprint/cW8
Event logs 101
Trace identifier
(to distinguish process instances)
© MÜHLBERGER, BACHHOFNER, DI CICCIO, GARCÍA-BAÑUELOS, LÓPEZ-PINTADOPAGE 19 02/09/2019
https://easychair.org/publications/preprint/cW8
Event logs 101
Event identifier
© MÜHLBERGER, BACHHOFNER, DI CICCIO, GARCÍA-BAÑUELOS, LÓPEZ-PINTADOPAGE 20 02/09/2019
https://easychair.org/publications/preprint/cW8
Event logs 101
Activity name
(labelling actions)
© MÜHLBERGER, BACHHOFNER, DI CICCIO, GARCÍA-BAÑUELOS, LÓPEZ-PINTADOPAGE 21 02/09/2019
https://easychair.org/publications/preprint/cW8
Event logs 101
Timestamp
(time of execution)
© MÜHLBERGER, BACHHOFNER, DI CICCIO, GARCÍA-BAÑUELOS, LÓPEZ-PINTADOPAGE 22 02/09/2019
https://easychair.org/publications/preprint/cW8
Event logs 101
Resource
(executing actor)
© MÜHLBERGER, BACHHOFNER, DI CICCIO, GARCÍA-BAÑUELOS, LÓPEZ-PINTADOPAGE 23 02/09/2019
https://easychair.org/publications/preprint/cW8
IEEE Standard 1849-2016 for
eXtensible Event Stream (XES)
http://www.xes-standard.org/
© MÜHLBERGER, BACHHOFNER, DI CICCIO, GARCÍA-BAÑUELOS, LÓPEZ-PINTADOPAGE 24 02/09/2019
https://easychair.org/publications/preprint/cW8
IEEE Standard 1849-2016 for
eXtensible Event Stream (XES)
Event
Event
attributes
Trace
Event log
© MÜHLBERGER, BACHHOFNER, DI CICCIO, GARCÍA-BAÑUELOS, LÓPEZ-PINTADOPAGE 25 02/09/2019
https://easychair.org/publications/preprint/cW8
• Extended models
(frequency, time…)
• Diagnostics and audits
• Conformance measures
• Predictions
• Operational support
Play in
Event logs for process mining
Replay
Discovery Analytics
http://www.promtools.org/
© MÜHLBERGER, BACHHOFNER, DI CICCIO, GARCÍA-BAÑUELOS, LÓPEZ-PINTADOPAGE 26 02/09/2019
https://easychair.org/publications/preprint/cW8
From blockchain transactions to event logs
Image courtesy of Matej Puchovsky
© MÜHLBERGER, BACHHOFNER, DI CICCIO, GARCÍA-BAÑUELOS, LÓPEZ-PINTADOPAGE 27 02/09/2019
The approach
© MÜHLBERGER, BACHHOFNER, DI CICCIO, GARCÍA-BAÑUELOS, LÓPEZ-PINTADOPAGE 28 02/09/2019
https://easychair.org/publications/preprint/cW8
Original process
Case study
Factory contract
Weber, Xu, Riveret, Governatori, Ponomarev, Mendling: Untrusted business process monitoring and execution using blockchain. In: Proc. of BPM, 329-347. Springer, 2016.
© MÜHLBERGER, BACHHOFNER, DI CICCIO, GARCÍA-BAÑUELOS, LÓPEZ-PINTADOPAGE 29 02/09/2019
https://easychair.org/publications/preprint/cW8
 BUT how to access and use the data stored on the blockchain for
analytics?
 First: Understand Blockchain Data Model
Blockchain data for process mining?
© MÜHLBERGER, BACHHOFNER, DI CICCIO, GARCÍA-BAÑUELOS, LÓPEZ-PINTADOPAGE 30 02/09/2019
https://easychair.org/publications/preprint/cW8
 BUT how to access and use the data stored on the blockchain for
analytics?
 First: Understand Blockchain Data Model
Blockchain data for process mining?
© MÜHLBERGER, BACHHOFNER, DI CICCIO, GARCÍA-BAÑUELOS, LÓPEZ-PINTADOPAGE 31 02/09/2019
https://easychair.org/publications/preprint/cW8
 BUT how to access and use the data stored on the blockchain for
analytics?
 First: Understand Blockchain Data Model
Blockchain data for process mining?
© MÜHLBERGER, BACHHOFNER, DI CICCIO, GARCÍA-BAÑUELOS, LÓPEZ-PINTADOPAGE 32 02/09/2019
https://easychair.org/publications/preprint/cW8
 BUT how to access and use the data stored on the blockchain for
analytics?
 First: Understand Blockchain Data Model
Blockchain data for process mining?
© MÜHLBERGER, BACHHOFNER, DI CICCIO, GARCÍA-BAÑUELOS, LÓPEZ-PINTADOPAGE 33 02/09/2019
https://easychair.org/publications/preprint/cW8
 BUT how to access and use the data stored on the blockchain for
analytics?
 First: Understand Blockchain Data Model
Blockchain data for process mining?
© MÜHLBERGER, BACHHOFNER, DI CICCIO, GARCÍA-BAÑUELOS, LÓPEZ-PINTADOPAGE 34 02/09/2019
https://easychair.org/publications/preprint/cW8
 BUT how to access and use the data stored on the blockchain for
analytics?
 First: Understand Blockchain Data Model
Blockchain data for process mining?
© MÜHLBERGER, BACHHOFNER, DI CICCIO, GARCÍA-BAÑUELOS, LÓPEZ-PINTADOPAGE 35 02/09/2019
https://easychair.org/publications/preprint/cW8
 BUT how to access and use the data stored on the blockchain for
analytics?
 First: Understand Blockchain Data Model
Blockchain data for process mining?
© MÜHLBERGER, BACHHOFNER, DI CICCIO, GARCÍA-BAÑUELOS, LÓPEZ-PINTADOPAGE 36 02/09/2019
https://easychair.org/publications/preprint/cW8
 BUT how to access and use the data stored on the blockchain for
analytics?
 Second: Understand Process Data Model
Blockchain data for process mining?
© MÜHLBERGER, BACHHOFNER, DI CICCIO, GARCÍA-BAÑUELOS, LÓPEZ-PINTADOPAGE 37 02/09/2019
https://easychair.org/publications/preprint/cW8
Architectural overview
Jup
yte
r
RPC
Ethereum Blockchain
Activi
ty
name
s
0xecb07b8c
Ask_developer()
transaction
Process instance Data
XES
Instance Data
Data ExportXES
Function
Signature
Hash
Hash = Hash?
Filter
transactions
Instance trans. Activity names
Transactions data
Data properties
Transaction instance data
Decode hashes
Sig. hash +
activity
name
Get
more
data
© MÜHLBERGER, BACHHOFNER, DI CICCIO, GARCÍA-BAÑUELOS, LÓPEZ-
PINTADO
PAGE 38 02/09/2019
https://easychair.org/publications/preprint/cW8
Retrieve data from blockchain
© MÜHLBERGER, BACHHOFNER, DI CICCIO, GARCÍA-BAÑUELOS, LÓPEZ-PINTADOPAGE 39 02/09/2019
https://easychair.org/publications/preprint/cW8
Assign event log attributes accordingly
© MÜHLBERGER, BACHHOFNER, DI CICCIO, GARCÍA-BAÑUELOS, LÓPEZ-PINTADOPAGE 40 02/09/2019
https://easychair.org/publications/preprint/cW8
Assign event log attributes accordingly
© MÜHLBERGER, BACHHOFNER, DI CICCIO, GARCÍA-BAÑUELOS, LÓPEZ-PINTADOPAGE 41 02/09/2019
https://easychair.org/publications/preprint/cW8
Assign event log attributes accordingly
© MÜHLBERGER, BACHHOFNER, DI CICCIO, GARCÍA-BAÑUELOS, LÓPEZ-PINTADOPAGE 42 02/09/2019
https://easychair.org/publications/preprint/cW8
Assign event log attributes accordingly
© MÜHLBERGER, BACHHOFNER, DI CICCIO, GARCÍA-BAÑUELOS, LÓPEZ-PINTADOPAGE 43 02/09/2019
https://easychair.org/publications/preprint/cW8
Assign event log attributes accordingly
© MÜHLBERGER, BACHHOFNER, DI CICCIO, GARCÍA-BAÑUELOS, LÓPEZ-PINTADOPAGE 44 02/09/2019
https://easychair.org/publications/preprint/cW8
Assign event log attributes accordingly
© MÜHLBERGER, BACHHOFNER, DI CICCIO, GARCÍA-BAÑUELOS, LÓPEZ-PINTADOPAGE 45 02/09/2019
https://easychair.org/publications/preprint/cW8
Blockchain data event log representation
© MÜHLBERGER, BACHHOFNER, DI CICCIO, GARCÍA-BAÑUELOS, LÓPEZ-PINTADOPAGE 46 02/09/2019
https://easychair.org/publications/preprint/cW8
Blockchain data event log representation
© MÜHLBERGER, BACHHOFNER, DI CICCIO, GARCÍA-BAÑUELOS, LÓPEZ-PINTADOPAGE 47 02/09/2019
https://easychair.org/publications/preprint/cW8
Live demo
Ethereum
Blockchain
XES
© MÜHLBERGER, BACHHOFNER, DI CICCIO, GARCÍA-BAÑUELOS, LÓPEZ-PINTADOPAGE 48 02/09/2019
https://easychair.org/publications/preprint/cW8
 Prototypes adjusted to the blockchain-based process data model
 Prototypes may have to be adapted for different processes or execution engines
 Activity executions identified from function calls
 Process instances associated with smart contract life-cycles
 Event timestamps approximated with the block time
 Event logs stored off-chain
However…
© MÜHLBERGER, BACHHOFNER, DI CICCIO, GARCÍA-BAÑUELOS, LÓPEZ-PINTADOPAGE 49 02/09/2019
https://easychair.org/publications/preprint/cW8
 Input:
 Contracts ABI and addresses
 Process knowledge (activities, …)
 Required:
 Instance IDs, timestamps and activity names (in transaction payload)
 Main challenge
 Mapping process-specific data with blockchain data representations
 Future research
 Modeling language to map process interactions with blockchain data
 On-chain / off-chain data
 Other distributed ledger technologies
In a nutshell..
© MÜHLBERGER, BACHHOFNER, DI CICCIO, GARCÍA-BAÑUELOS, LÓPEZ-PINTADOPAGE 50 02/09/2019
Extracting Event Logs for Process
Mining from Data Stored on the
Blockchain
Roman Mühlberger, Stefan Bachhofner, Claudio Di Ciccio,
Luciano García-Bañuelos, Orlenys López-Pintado
VIENNA, SEPTEMBER 2019
https://easychair.org/publications/preprint/cW8l
Extracting Event Logs for Process
Mining from Data Stored on the
Blockchain
Roman Mühlberger, Stefan Bachhofner, Claudio Di Ciccio,
Luciano García-Bañuelos, Orlenys López-Pintado
Second Int. Workshop on Security and Privacy-
enhanced Business Process Management
(SPBP’19), 2 September 2019, Vienna, Austria
Extra slides deck
VIENNA, SEPTEMBER 2019
https://easychair.org/publications/preprint/cW8l
https://easychair.org/publications/preprint/cW8
Original process
Case study
Factory contract
Weber, Xu, Riveret, Governatori, Ponomarev, Mendling: Untrusted business process monitoring and execution using blockchain. In: Proc. of BPM, 329-347. Springer, 2016.
© MÜHLBERGER, BACHHOFNER, DI CICCIO, GARCÍA-BAÑUELOS, LÓPEZ-PINTADOPAGE 53 02/09/2019
https://easychair.org/publications/preprint/cW8
Intercepting new instantiations
From: factory
Contract code
New address
© MÜHLBERGER, BACHHOFNER, DI CICCIO, GARCÍA-BAÑUELOS, LÓPEZ-PINTADOPAGE 54 02/09/2019
https://easychair.org/publications/preprint/cW8
Intercepting new instantiations
From: factory
To: new instance
© MÜHLBERGER, BACHHOFNER, DI CICCIO, GARCÍA-BAÑUELOS, LÓPEZ-PINTADOPAGE 55 02/09/2019
https://easychair.org/publications/preprint/cW8
Intercepting calls to process contract
To: new instance
0x1387e74982055e3e1d235aad579350813b329b2b
From: actor
© MÜHLBERGER, BACHHOFNER, DI CICCIO, GARCÍA-BAÑUELOS, LÓPEZ-PINTADOPAGE 56 02/09/2019
https://easychair.org/publications/preprint/cW8
Intercepting calls to process contract
To: new instance
0x1387e74982055e3e1d235aad579350813b329b2b
From: actor
© MÜHLBERGER, BACHHOFNER, DI CICCIO, GARCÍA-BAÑUELOS, LÓPEZ-PINTADOPAGE 57 02/09/2019
https://easychair.org/publications/preprint/cW8
From transactions to events
© MÜHLBERGER, BACHHOFNER, DI CICCIO, GARCÍA-BAÑUELOS, LÓPEZ-PINTADOPAGE 58 02/09/2019

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Extracting Event Logs for Process Mining from Data Stored on the Blockchain

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  1. © Henri Liriani, “Your Move” https://flic.kr/p/6mKzzs