DOMINO: A System to Detect Greedy Behavior in IEEE Hotspots

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1 DOMINO: A System to Detect Greedy Behavior in IEEE Hotspots By Maxim Raya, Jean-Pierre Hubaux, Imad Aad Laboratory for computer Communications and Applications(LCA) School of Computer and Communication Sciences EPFL, Switzerland Your host today: Aaron LeMasters 1

2 Quick Agenda Overview of this research paper Misbehavior What is it and how do we measure it? DOMINO Intro, components, design details Six detection tests ** STAY AWAKE ** Simulation Results Conclusions CS388 Wireless and Mobile 2

3 Overview 3

4 Goal & Previous Work This paper attempts to detect greedy misbehavior on Wireless hotspots by examining MAC-layer activity The approach in this paper builds on a previous work by Kyasanur and Vaidya (detecting misbehavior based on penalty assigned) Shortcomings in previous work s solution: Requires modification to MAC protocol Could lead to further misbehavior Adds significant overhead to AP Only considers lagging UDP traffic as indicator of misbehavior No actual implementation of proposed solution 4

5 Main points Hotspots are growing more popular, demand increasing Users will misbehave by modifying hardware characteristics of their Wireless Card to become greedy (this is yet another MAC-layer paper) DOMINO can stealthily detect this behavior and integrate with WIDS; AirDefense Guard + DOMINO = protocol misbehavior and intrusion detection all-in-one 5

6 Assumptions Operation mode of AP is infrastructure mode using DCF (normal default) Solution is implemented on a single, trusted AP operating by an ISP (no changes to user laptops or NICs) Only user stations misbehave Objective of misbehavior is to gain throughput doesn t consider any other misbehavior (DoS, spoof, etc) 6

7 Misbehavior 7

8 Motivation for misbehavior Authors point out that MAC protocol is the best place to misbehave because: 1. You can get greater bandwidth gains because it is more efficient than doing it at higher layers 2. It is undetectable at higher layers 3. It can be used in any hotspot, because all AP s use MAC protocol (whereas TCP greediness wouldn t impact UDP greediness, for example) Rather than enumerate all possible MAC-layer misbehaviors, a taxonomy is created to classify general types of misbehaviors 8

9 Misbehavior Taxonomy Two main classes: 1. MAC Greedy behavior Scramble frames of target systems to increase their contention window (CW) by modifying CTS, ACK, or DATA frames Manipulate standard protocol parameters 2. Attacks Inherent weaknesses in MAC (ie, De-auth attack) Not addressed in this paper Goal of both classes is to increase the cheater s own throughput (bandwidth share) 9

10 Misbehavior: Scrambling Frames How the RTS/CTS handshake works in : (RTS = Request to send / CTS = clear to send) 1. Station wanting to send data sends the receiver an RTS frame 2. The receiver responds with a CTS frame 3. Any other node receiving the CTS frame should refrain from transmitting for time specified in the frame 4. Any node receiving the RTS frame but not CTS is permitted to transmit to neighboring nodes 10

11 Misbehavior: Scrambling Frames (cont d) 11

12 Misbehavior: Scrambling Frames (cont d) Force a sending target (DATA frame source) to double its contention window size by altering ACK frame sender selects larger back-off values Cheater gets more medium CS388 Wireless and 12

13 Misbehavior: Manipulate Standard Protocol Parameters When channel is idle, transmit after SIFS but before DIFS Manipulate NAV value in RTS or DATA frames to force neighbors to not contend Reduce back-off time by choosing a small, static window, so that back-off is always chosen within this window CS388 Wireless and 13

14 Misbehavior Metrics How the AP determines a user is misbehavior Takes measurements by collecting statistical data Considers two attributes of transmitting stations: throughput and backoff Chooses backoff as metric for solution 14

15 Misbehavior Metrics: Throughput Most obvious choice users hogging bandwidth are the cheaters, right? Problematic throughput naturally varies based on application being used by the user To check application would require significant overhead High false-positives possible, b/c UDP throughput problems are related to many legit factors (SNR, device drivers, O/S protocol implementation, etc) Similarly, TCP protocol design (retransmit, reliability, error control, etc) tends to naturally degrade throughput on wireless networks 15

16 Misbehavior Metrics: Backoff Less dependent on factors that affect throughput Still has its own problems, but authors choose it over throughput: Backoff idle period is indistinguishable from the delay due to a low packet rate source Backoff value cannot be computed at receiving end (no info in MAC header), thus it is hard to interpret collisions since those stations will increase backoff and others wont Hidden terminal problem can cause increases in backoff times 16

17 DOMINO System Details 17

18 What is DOMINO? System for Detection Of greedy behavior in the MAC layer of IEEE public NetwOrks A piece of software to be installed on the monitoring Access Point It collects traffic traces during a monitoring period to be inspected for misbehavior

19 Key Features of DOMINO Seamless integration with the AP w/o interfering normal operations (passive monitoring) Compatibility with existing networks Still applicable to future revisions of protocol This is supported by results from real experiments 19

20 Limitations of DOMINO No automatic remediation Requires steady traffic on the channel 20

21 Design Details Fully implemented in software/firmware Minor changes to driver, possibly integrate with MADWIFI Can run as a module on AP Integrate with a monitor near the AP, such as AirDefense Guard 21

22 The 6 Test Components of DOMINO 22

23 Other Components of DOMINO Main loop in program: 23

24 Other Components of DOMINO (cont d) Check() function to execute tests: 24

25 Other Components of DOMINO (cont d) Punishing Function based on policy defined by Wireless ISP Decides what to do with misbehaving user 25

26 How DOMINO Detects Misbehavior TEST #1: Scrambled Frames 26

27 Scrambled Frames Background Scrambling the RTS/CTS/DATA frames just creates noise and confusion The goal is to halt other s use of the medium or stall them for long periods of time to hog the channel 27

28 Scrambled Frames Detection DOMINO detects scrambled frames by observing a user s retransmission rate (Rtx rate) Bad user must scramble a large portion of others CTS, RTS, and DATA frames to cause desired effect thus its Rtx rate will be lower than its victims 28

29 Scrambled Frames How? But how does it detect a retransmission?? When user scrambles CTS, DATA or ACK frames, the RTS or DATA header will contain repeated sequence numbers notice threshold φ to control false positives 29

30 How DOMINO Detects Misbehavior TEST #2: Shorter than DIFS 30

31 Shorter than DIFS Detection AP simple monitors idle period since last ACK Any station that transmits before required DIFS is potentially misbehaving Threshold here is protocol-defined (DIFS) 31

32 How DOMINO Detects Misbehavior TEST #3: Oversized NAV 32

33 Oversized NAV - Background Network allocation vector (NAV) value of a frame is a function of frame length and data rate Basically a counter at each station that represents the amount of time that the previous frame needed to send its frame; MUST BE ZERO before a station can transmit Stored in duration field of frame header Receiving station reads this value and sets their NAV accordingly, allocating enough medium for them CS388 Wireless and Mobile 33

34 Oversized NAV Detection AP compares actual duration of transmission against the NAV value present in DATA or RTS frames Stations that regularly set high NAV values are potential offenders, for obvious reasons Threshold A defines a tolerance value 34

35 How DOMINO Detects Misbehavior TEST #4: Maximum Backoff 35

36 Maximum Backoff Background IEEE protocol selects backoff values randomly from [0, CW 1], where CW depends on retransmission rate Thus, maximum selected backoff over a set of frames sent by a given station should be close to CW min 1, if the sample size is adequate 36

37 Maximum Backoff Detection Test #4 checks a user s maximum backoff over a set of samples against a threshold value; if it is less, possible offender! Sample size must increase as threshold increases! 37

38 Maximum Backoff Caveat This test can be easily fooled The cheater (and sometimes normal use) can make the monitor observe in every sample at least one backoff value larger than or equal to the threshold Use this as an auxiliary test 38

39 How DOMINO Detects Misbehavior TEST #5: Actual Backoff 39

40 Actual Backoff Background How to measure actual backoff? If no collisions, the AP calculates a total delay, I.e. all idle intervals, between two transmission from a station If a collision occurs, the current and next backoffs are ignored Whatever is calculated is stored for a particular station 40

41 Actual Backoff Detection B ac [S i ] B ac stores all backoffs calculated S i is a particular station being observed B acnom is the nominal backoff value which is the average backoff value The α ac value is between 0 and 1 and represents desired correct detection rate (I.e, 90%) 41

42 Actual Backoff Caveat Since no data is collected during a collision, the test cannot detect misbehavior during interframe delays The AP will see the delays when it adds up the idle times for a source, but since it does not record the backoff, it cannot measure them properly Solved by Test #6 consecutive backoff 42

43 How DOMINO Detects Misbehavior TEST #6: Consecutive Backoff 43

44 Consecutive Backoff Background Takes into account sources with interframe delays Primarily TCP sources (congestion control) Whenever two frames are back-to-back, not interleaved with others frames, DOMINO will measure the backoff and consider it in the user s average retransmission rate calculation Why is this an opportunity to cheat? Because the user is experiencing upper layer delay (in TCP) and by altering the MAC-layer backoff value, he can ignore upper layer contention and improve his throughput 44

45 Consecutive Backoff Detection Same equation as Test #5, except backoffs are now measured during packets with interframe delays 45

46 Simulation Results CS388 Wireless and 46

47 Simulation Design They only test actual backoff, consecutive backoff, and complete solution Focus on a single cheater 8 stations sending UDP and TCP data Distance to AP is 50m All stations are within range of each other Model common traffic types: UDP 1 cheater, 7 regular, all CBR sources TCP 1 cheater, 8 regular, all FTP sources CS388 Wireless and 47

48 Simulation Design (cont d) The authors measured throughput of cheaters to show they do benefit: CS388 Wireless and 48

49 Simulation Results Actual Backoff (UDP) UDP successful b/c idle time is only due to backoff, no interframe delay CS388 Wireless and 49

50 Simulation Results Actual Backoff (TCP) Unsuccessful (no graphic shown in paper) b/c all of the collected data (which was small), was simply interframe delay as a result of higher-layer TCP congestion control mechanism CS388 Wireless and 50

51 Simulation Results Consecutive Backoff (UDP) Unsuccessful (no graphic shown in paper) b/c measured average consecutive backoff rapidly decreases as number of stations increases, and thus you start comparing really tiny values CS388 Wireless and 51

52 Simulation Results Consecutive Backoff (TCP) Successful results, because MAC-layer queuing allows other sources to interleave with the source that has interframe delay (as a result of TCP congestion), so it is rare that consecutive backoffs would exist (and thus are easily detected) CS388 Wireless and 52

53 Simulation Results Consecutive Backoff (TCP) [2] CS388 Wireless and 53

54 Simulation Results Complete Solution Since actual backoff test was good at handling UDP traffic, and consecutive backoff was good at handling TCP traffic, let s combine those two approaches for complete solution CS388 Wireless and 54

55 Simulation Results Complete Solution (cont d) The authors implemented a real cheater to show the complete solution is accurate Use Proxim s Orinoco wireless cards (Atheros chipset) with MADWIFI drivers on Linux kernel Simply write a value to a register to modify the contention window min and max values they won t tell us which register CS388 Wireless and 55

56 Simulation Results Complete Solution (cont d) CS388 Wireless and 56

57 Conclusions CS388 Wireless and 57

58 Successes New classification for misbehavior New detection techniques (6 tests) Implementation of detection solution Solution is easily integrated into AP Achieves high accuracy in real networks Cheater prototype created CS388 Wireless and 58

59 Some problems Hidden terminals Creates false positives Must adjust threshold of DOMINO Not really considered in this paper Adaptive cheating What about users that know how DOMINO works? Monitoring period requires some trial-and-error Effect of mobility on the detection system? Incoming traffic vs outgoing traffic CS388 Wireless and 59

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