5a162213e5
Reviewers: buda, mculinovic, mferencevic Reviewed By: mculinovic Subscribers: pullbot Differential Revision: https://phabricator.memgraph.io/D1143
48 lines
1.6 KiB
Python
48 lines
1.6 KiB
Python
import random
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def init_data(card_count, pos_count):
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print("UNWIND range(0, {} - 1) AS id "
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"CREATE (:Card {{id: id, compromised: false}});".format(
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card_count))
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print("UNWIND range(0, {} - 1) AS id "
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"CREATE (:Pos {{id: id, compromised: false}});".format(
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pos_count))
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def compromise_pos_device(pos_id):
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print("MATCH (p:Pos {{id: {}}}) SET p.compromised = true;".format(pos_id))
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def compromise_pos_devices(pos_count, fraud_count):
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for pos_id in random.sample(range(pos_count), fraud_count):
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compromise_pos_device(pos_id)
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def pump_transactions(card_count, pos_count, tx_count, report_pct):
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# Create transactions. If the POS is compromised, then the
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# Card of the transaction gets compromised too. If the card
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# is compromised, there is a 0.1 chance the transaction is
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# fraudulent and detected (regardless of POS).
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q = ("MATCH (c:Card {{id: {}}}), (p:Pos {{id: {}}}) "
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"CREATE (t:Transaction "
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"{{id: {}, fraud_reported: c.compromised AND (rand() < %f)}}) "
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"CREATE (c)<-[:Using]-(t)-[:At]->(p) "
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"SET c.compromised = p.compromised;" % report_pct)
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def rint(max): return random.randint(0, max - 1) # NOQA
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for i in range(tx_count):
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print(q.format(rint(card_count), rint(pos_count), i))
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POS_COUNT = 1000
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CARD_COUNT = 10000
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FRAUD_POS_COUNT = 20
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TX_COUNT = 50000
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REPORT_PCT = 0.1
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random.seed(12345)
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init_data(CARD_COUNT, POS_COUNT)
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compromise_pos_devices(POS_COUNT, FRAUD_POS_COUNT)
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pump_transactions(CARD_COUNT, POS_COUNT, TX_COUNT, REPORT_PCT)
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