Exploiting MMORPG Log Data toward Efficient RMT Player...
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0 5 10 15 20 25 29 0 200 400 600 800 1000 Number of identified RMT Players Top N RMT Suspects TCH TAC TCC AT TCH/TAC TCH/TCC TCH/AT 10 1 10 2 0 3 6 9 12 15 18 21 24 Total actions counts / Activity time (log scale) Average activity hours per day Seller Collector Earner Other 10 3 10 4 10 5 10 2 10 3 10 4 10 5 10 6 Total currency handled (log scale) Log count (log scale) Seller Collector Earner Other RMT Real currency Property in virtual world Buyer Earner Collector Seller Exploiting MMORPG Log Data toward Efficient RMT Player Detection Hiroshi Itsuki, Asuka Takeuchi, Atsushi Fujita, Hitoshi Matsubara Solution Future University Hakodate, JAPAN Issues of Operating MMORPG Table 1: Mean Values of Statistics Type Seller Collector Earner Others 10 4 15 971 n 254.4 745.5 106,137.8 75,008.8 TAC 55.8 138.3 16,772.5 3,718.0 AT 1.3 46.8 11.0 951.0 TCC 12,209.2 23,247.0 13,438.7 3,111.0 TCH Table 2: The Number of Extracted RMT Suspects Seller 10 639 998 1,000 990 72 226 81 Collector 4 452 889 1,000 891 133 347 123 Earner 15 80 360 1,000 48 419 349 643 29 639 998 1,000 990 419 349 643 All Statistics n TCH TAC TCC AT TCH/TAC TCH/TCC TCH/AT Currency Items Currency Items Preliminary Investigation RMT players deal with a huge volume of virtual currency Most of the RMT players are silent Earners spend long time at a low frequency of action Sellers and collectors take actions less frequently MMORPG: Multi-player online role-playing game Countermeasure against unfavarable behavior RMT: Real-money trading Harassment (PK, robbing) and it’s automation Manual investigation requires human effort and time Effective use of huge volume of log data Computes “suspecthood” using statistics derived from log data Provided data Log data (Action log, Chat log) List of manually identified RMT players Target Commercial MMORPG “Uncharted Waters Online” TECMO KOEI GAMES CO., LTD. http://global.netmarble.com/uwo/ Target period 2009/8/30~2009/9/13 (in which the operators had identified RMT players) Acknowledgemnt Our greatest thanks to TECMO KOEI GAMES CO., LTD. Derived four types of statistics from both types of data TCC: The total number of utterances recorded TAC: The total number of action records AT: The amount of minutes in which at least one action is taken TCH: The amount of virtual currency handled in the period (The absolute values of currency increase and decrease) Automatic detection of RMT players using log data Ranking all players with regard to their “suspiciousness” Manual verification starting from rank 1 Summary 1. Statistical Analysis 2. RMT Player Detection Problems of RMT in MMORPGs Imbalances virtual economy Direct attacks to general players Unauthorized behavior ↓ Prevents new players Discourages existing players RMT player network 0. Assumption RMT players handle huge amount of currency 15,250 players ⇒ top 1,000 players based on TCH Significant differences between RMT players and others Different statistics achieved the best results for each type of RMT players Earners (15) no effect sellers (10) collectors (4) Future Work Explore a more effective statistics especially from short-term log data Apply to other game titles
Transcript of Exploiting MMORPG Log Data toward Efficient RMT Player...
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Num
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nti�
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MT
Play
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Top N RMT Suspects
TCHTACTCCATTCH/TACTCH/TCCTCH/AT
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Tota
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Tota
l cur
renc
y ha
ndle
d (lo
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Log count (log scale)
SellerCollectorEarnerOther
RMT
Real currency
Property in virtual world
Buyer
EarnerCollectorSeller
Exploiting MMORPG Log Data toward Efficient RMT Player DetectionHiroshi Itsuki, Asuka Takeuchi, Atsushi Fujita, Hitoshi Matsubara
Solution
Future University Hakodate, JAPAN
Issues of Operating MMORPG
Table 1: Mean Values of StatisticsTypeSellerCollectorEarnerOthers
104
15971
n254.4745.5
106,137.875,008.8
TAC55.8
138.316,772.5
3,718.0
AT1.3
46.811.0
951.0
TCC12,209.223,247.013,438.7
3,111.0
TCH
Table 2: The Number of Extracted RMT SuspectsSeller
10639998
1,000990
72226
81
Collector4
452889
1,000891133347123
Earner1580
3601,000
48419349643
29639998
1,000990419349643
AllStatisticsnTCHTACTCCATTCH/TACTCH/TCCTCH/AT
CurrencyItems
CurrencyItems
Preliminary Investigation
RMT players deal with a huge volume of virtual currency
Most of the RMT players are silent
Earners spend long time at a low frequency of action
Sellers and collectors take actions less frequently
MMORPG: Multi-player online role-playing gameCountermeasure against unfavarable behavior RMT: Real-money trading Harassment (PK, robbing)and it’s automation Manual investigation requires human effort and time Effective use of huge volume of log data
Computes “suspecthood” using statistics derived from log dataProvided data Log data (Action log, Chat log) List of manually identified RMT players
Target Commercial MMORPG “Uncharted Waters Online” TECMO KOEI GAMES CO., LTD. http://global.netmarble.com/uwo/Target period 2009/8/30~2009/9/13 (in which the operators had identified RMT players)
AcknowledgemntOur greatest thanks to TECMO KOEI GAMES CO., LTD.
Derived four types of statistics from both types of data TCC: The total number of utterances recorded TAC: The total number of action records AT: The amount of minutes in which at least one action is taken TCH: The amount of virtual currency handled in the period (The absolute values of currency increase and decrease)
Automatic detection of RMT players using log data Ranking all players with regard to their “suspiciousness” Manual verification starting from rank 1
Summary
1. Statistical Analysis
2. RMT Player Detection
Problems of RMT in MMORPGs Imbalances virtual economy Direct attacks to general players Unauthorized behavior ↓ Prevents new players Discourages existing players
RMT player network
0. Assumption RMT players handle huge amount of currency 15,250 players ⇒ top 1,000 players based on TCH
Significant differences between RMT players and others
Different statistics achieved the best results for each type of RMT players
Earners (15)
no effect
sellers (10)collectors (4)
Future WorkExplore a more effective statistics especially from short-term log dataApply to other game titles
