Digital Forensics in Small Devices: RFID Tag Investigation

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3.3 DATA REQUIREMENTS The data requirements for the research project include several different sources, according the Business System (BS) architecture of a RFID stock management system (see Table 2.4). The BS consists of three entities namely the Stock Item (SI), the point of sale (POS), and the Business Information System. Figure 3.10: The Business System Entity Composition (author) As mentioned in the previous Chapter 2 (Section 2.3), each entity has sub-systems and services that are required by the other entities. For instance, the SI requires RFID Tags, a scanner, and services from POS and BIS. The POS requires a Transaction Processing System (TPS), scanners (for cards, Tags and Chips), a Tag attach/detach service and the services of SI and BIS. Hence, to investigate the presence of digital evidence after the theft of a SI; a prototype of commercial retail environment using a RFID stock management system will firstly be constructed in the laboratory. Secondly, the SQL poisoning attack will be launched through RFID tag. Then, each entity in the BS will be investigated for evidence of the theft. The extraction of the evidence will take place from the tag, the scanner, the POS, and the SQL server. In addition, the closed-circuit television (CCTV) and interview evidence are considered relevant to the investigation. 3.3.1 System Design BS = SI + POS + BIS In order to conduct the experimental research, a simple RFID stock management system (see Figures 3.10 and 3.11) will be set up by using a single test-station running Windows XP Service Pack 2 (WinXP SP2) as a POS terminal. The RFID reader driver (Tracient TraceConnect Software Developer Kit) and enterprise version of Microsoft SQL Server 2005 for backend database, in order to store data/information relevant to SI, will be installed on the test-station. Then, a single UHF RFID scanner/reader (Tracient RFID reader) will be attached to the test-station via Universal Serial Bus (USB) port. Furthermore, the customized RFID middleware 69
software (see Appendix 4) that can read and write the tag data from the RFID scanner to the BIS SQL 2005 Server (vice versa) will be developed, so as the Tripwire for Servers (version 4.8), and the Tripwire Manager (version 4.8.0.246) that allows to manage Tripwire for Servers from a central location in graphical user interface (GUI) mode will also be installed on the POS test-station (see Appendix 5 for Tripwire setup, and Appendix 9 for TEST-STATION information in detail). Figure 3.11: Test-Station Setup (Fake tag is read by the RFID reader) According to the experimental requirement, only two (one real and one poisoned) RFID Read/Write tags will be applied in a stabilized BS. These RFID tags are EPC Gen 2/ 18000-6B standards and operate in the frequency range of 860MHz to 960MHz (see Table 2.2 in Section 2.1.4). The size of the user memory is 1728 bit (216 bytes) and 64 bits ID size, according to the information sheet provided by the RFID tag manufacturer, SkyeTek. In addition, the two databases will be created in the backend database SQL Server. The primary data file named RFID_test.mdf is used for storing stock item (SI) values according the RFID tags. Likewise, the transaction log file named RFID_test_log.ldf is used for storing the reader logs to the backend SQL Server. Then, all the fictitious product values and tag IDs will be pre-keyed into the database files (see Appendix 7). For instance, the insertion of the fictitious values into the primary data and log files are as follows. 70
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Digital Forensics in Small Devices:
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iii Acknowledgements This thesis wa
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v Abstract Read/Write Radio Frequen
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vii Table of Contents (Volume 1) De
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ix 3.2.2.2 The POS Entity Security
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xi 4.3.4 Analysis of the Physical D
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xiii List of Tables Table 2.1 Chara
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Figure 4.3: Error encountered durin
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xvii Figure 4.53: Acquisitions of a
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LF Low Frequency xix LLRP Low Level
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process (see Chalasani, Boppana, &
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of potential evidence after an even
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investigation. Likewise, all the re
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practices concerned with the forens
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defines different types of malware
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2.1.1 RFID Transponders or Tags The
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Table 2.1: Characteristics and Clas
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Moreover, depending on the complexi
Page 37 and 38: However, according to EPCglobal (El
Page 39 and 40: According to Harmon (2006, pp. 45-4
Page 41 and 42: 2.2.1 Memory Technologies for RFID
Page 43 and 44: y the reader as the tag‟s address
Page 45 and 46: wavelength long and depends on the
Page 47 and 48: Karygiannis et al., (2007, pp. 2-15
Page 49 and 50: attacker can perform eavesdropping
Page 51 and 52: 2.5 RFID STOCK MANAGEMENT SECURITY
Page 53 and 54: Figure 2.15: RFID Business System S
Page 55 and 56: 3.0 INTRODUCTION Chapter 3 - Resear
Page 57 and 58: etrieve data to an external data so
Page 59 and 60: firstly affect the back-end RFID mi
Page 61 and 62: Figure 3.2: Scenario 1 illustration
Page 63 and 64: Unlike SQL Server forensics, the tr
Page 65 and 66: forensic workstation must be prepar
Page 67 and 68: Then, the researcher verified the S
Page 69 and 70: within the affected records”. In
Page 71 and 72: can also be found not only in the d
Page 73 and 74: Likewise, Relevancy is related to t
Page 75 and 76: 3.2 THE RESEARCH DESIGN In the prev
Page 77 and 78: e investigated for evidence of the
Page 79 and 80: 3.2.2 Review of Problem Areas in RF
Page 81 and 82: participants, the Information Syste
Page 83 and 84: 3.2.3 Case Study The researcher int
Page 85 and 86: 3.2.6 Research Question As stated i
Page 87: 3.2.8 Data Map Figure 3.9: Data Map
Page 91 and 92: and Deng (2007) illustrated two eff
Page 93 and 94: system of the target machine (Jones
Page 95 and 96: other collected evidence data by us
Page 97 and 98: SQL Server artefacts (for the purpo
Page 99 and 100: presence of digital evidence after
Page 101 and 102: 4.0 INTRODUCTION Chapter 4 - Resear
Page 103 and 104: Figure 4.1: Error encountered durin
Page 105 and 106: server (Figure 4.6) due to the user
Page 107 and 108: Section 4.2 include the snippets of
Page 109 and 110: 4.2.2 Live Extraction of Binaries R
Page 111 and 112: 4.2.3.1 Automated Artefact Collecti
Page 113 and 114: 4.2.3.2 Ad Hoc Artefact Collection
Page 115 and 116: 4.2.3.3.1 Active VLF Data After gat
Page 117 and 118: The acquisition result of ring buff
Page 119 and 120: Depending on the version of the vic
Page 121 and 122: syntax was used to acquire a server
Page 123 and 124: :out E:\SystemDatabaseRoleMembers.t
Page 125 and 126: However, according to Fowler (2009,
Page 127 and 128: After collecting the table statisti
Page 129 and 130: Thus, the result of the current tab
Page 131 and 132: 4.2.3.4.6 Data Page Allocation Arte
Page 133 and 134: components of database were enabled
Page 135 and 136: The record of shutting down the ser
Page 137 and 138: “application logic and extend the
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4.2.3.6.5 SQL Server Error Logs Usu
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4.2.4 Physical Disk Drive Finally,
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Figure 4.56: Analyzing the image co
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could not. Hence, the artefacts cou
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5.0 INTRODUCTION Chapter 5 - Resear
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the laboratory to simulate a RFID t
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and confirmed the database was obvi
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SUMMARY: After analysing all the ac
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all the collected digital evidence
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Table 5.5: Secondary Research Quest
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write blocker (Tableau Forensic USB
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collected digital evidence files (b
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5.2.3 Discussion of Conducted Attac
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forensic work-station (Appendix 10)
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forensic test-station for the inves
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the trusted forensic toolkits. In a
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6.0 INTRODUCTION Chapter 6 - Conclu
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Table 6.1: Specific forensic tools
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the evidential data are the importa
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(Chapter 5; Section 5.3) for both d
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Bolan, C. (2007). A single channel
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El-Said, M. M., & Woodring, I. (200
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Hunt, V. D., Puglia, A., & Puglia,
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Kou, D., Zhao, K., Tao, Y., & Kou,
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Notes in Computer Science 5379(2009
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Tripwire, Inc. (2010a). Tripwire Ma
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Digital Forensics in Small Devices:
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Appendix 1: Volatile and Non-volati
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3 Activity Endpoints* ● md5deep N
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Appendix 2: Steps for Creating Radi
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14. Gather the latest versions of W
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The following is the detail record
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COMPLETE 'Logins.txt' (md5=A2993744
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(md5=A2993744A56BA83ADE52948062C968
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'Schemas.htm' (md5=30BB65A20F1381D7
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22:02:26: Hashing 'wft_cfg.txt' (md
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Record any checksum(s) below to lat
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22. Although the extended version o
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Appendix 3: Source Code of the Deve
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{ } else { MessageBox.Show("No read
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} } btnConnect.Enabled = true; btnD
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MessageBox.Show(this, "Connection t
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} } } dwNumEntries = usbRFID.GetNum
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add it to the list box LogItem.szID
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if(fdialog.FileName != "") { FileSt
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private string constr = @"Data Sour
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} } else { } catch (Exception ex) {
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} } } } insertTagtoDB(TagID, TagVal
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} break; case ("Protection"): { uiB
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} } } //this.Cursor = Cursors.Defau
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} } btnReadTag.Enabled = false; tmr
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private void insertTagtoDB(string T
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} } } private void btnLOGload_Click
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Step 4: Then, the Tripwire will per
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Similarly, Tripwire user account sh
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Figure A5.5: Installation of the Tr
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Appendix 6: An Example of the Condu
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Sync” allowing the users to confi
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Figure A6.8: RFID Sync Application
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Figure A6.10: Screenshot of writing
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Step 3: Configure the reader’s Ta
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Step 8: Edit the Tripwire configura
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Step 12: Record of the fictitious l
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Step 16: Similarly, check whether t
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Step 20: Check the primary database
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Appendix 7: Steps taken before the
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insert into rfid_log ( Tag, User_da
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Figure A7.3: Pre-keyed data in the
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Figure A7.7: Pre-keyed data in the
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Figure A7.11: Screenshot of Tripwir
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Step 10: Once Tripwire database was
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Appendix 8: Steps taken after the S
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Step 3: The integrity check was ini
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Figure A8.8: Screenshot of the Trip
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Figure A8.12: Screenshot of the bac
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Figure A9.3: Network Interface Card
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Figure A9.7: Enterprise Version of
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Appendix 10: Screenshots of Forensi
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Appendix 11: Forensically Sterilizi
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Figure A11. 4: Wiping all the secto
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Appendix 12: Steps for Copying and
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Figure A12.6: Acquiring the forensi
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12. However, the acquisition was ca
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15. Then, the original evidence dri
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18. Then, a bad signature file was
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Appendix 13: Artefacts Collected by
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Figure A13.5: Acquired backend SQL
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SQL SERVER - DATABASE SERVER INFORM
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Figure A13.15: Fragment of the acqu
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Figure A13.18: Result of the Acquir
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Figure A13.23: Result of the Acquir
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72CBADAE0A1F9FF34D4A35A9AB26BDB8 Au
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2428169B31C96FE4A767215000AA0008 in
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Appendix 15: WFT Tool Log during th
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06:31:36: Verifying 'sql\runsql.bat
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(md5=A7A43C52521F85BDD6683D9E0E4A00
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(md5=AB700D66945BBC9FBFA34002A808A2
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[DB Configuration] (md5=F416BF7233E
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(md5=FEDD1E9DF1B76C877B8027B62E401B
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06:32:21: Verifying 'xp\mem.exe' OK
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06:32:22: Verifying 'sysinternals\p
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'uptime.htm' (md5=B7456D103CBF5E49F
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'netlgrp.txt' (md5=E6D74D46AECD9692
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06:32:26: Verifying 'cygwin\cygwin1
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'cmdline.txt' (md5=B44C85C704337F00
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06:32:32: Verifying 'netlatency\ser
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06:32:35: Verifying 'diamondcs\ipli
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(md5=BB5127D25439D1B50A305B1CF865FE
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(md5=647578D95B7F3B11B6CCF833E29670
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06:32:41: Verifying 'perl\re.dll' O
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(md5=C4DA0F6D85F641B3E5A0F065AEDB27
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06:33:15: Verifying '2k\res_kit\dum
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[FILE SYSTEM] (md5=E9D558E387FC2208
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06:33:19: Running 'tools\xp\cmd.exe
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06:33:20: Verifying 'tools\xp\cmd.e
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'sys_ini.txt' (md5=B143A6852C9EF93E
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06:33:22: Running 'xp\at.exe' [#132
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06:33:24: Verifying 'microsoft\reg.
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(md5=4380D8F2014A5C35BF59DF30D079F0
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06:34:09: Running 'xp\gpresult.exe'
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06:34:15: Verifying 'microsoft\regd
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06:34:16: Running 'microsoft\reg.ex
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[DONE] SKIPPED (via '-nowrite' para
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'mail.gif' (md5=38477E98FB3ED60B829
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Step 3: The SQL poisoning attack wa
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Appendix 17: Live Acquisition of Ph
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The problem issue was clearly state
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Figure A17.9: Evidence item informa
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Figure A17.13: Successful creation
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Physical Drive Acquisition Report b
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Figure A18.2: Screenshot of the Acq
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Figure A18.4: Screenshots of the Ac
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Figure A19.2b: Screenshot of the In
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Figure A19.5: Screenshot of the lau
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Figure A19.10: Choosing the OS path
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Figure A19.16: Avoiding the tools t
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Figure A19.21a: WFT tool in action
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Figure A19.22b: The acquisition of
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Appendix 20: Extended wftSQL Batchf
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SET /P USERQUESTION=Use currently l
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Appendix 21_Screenshots of Hashing
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Appendix 22: Hash Values Comparison
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DBO_RFIDlog_tblStat_Date.txt Text 4
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IDE_Image.E06 EnCase Image eaa9522a
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Endpoints.htm Web Page d23eef6404ca
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PSLIST.HTM Web Page 79dbea76b982972
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IPXROUTE.HTM Web Page 97d4e1dd9621b
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PSFILE.HTM Web Page d6d58ad5914ef24
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HKLM_RS.HTM Web Page f756a379df8579
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MDM.HTM Web Page a5e04ce095305295ae
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WFT_CFG.TXT Text 1d378b80f8e0e7ea4f
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PCLIP.TXT Text 037130bf88e524d8f61a
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TLIST_V.TXT Text cdf2d49e302522e370
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HUNT.TXT Text 99553ccd8e14cae6db789
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C_hidden.txt Text 5f45b5367c7ed8852
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HKCU_R.TXT Text 9e7b99199b2931e811a
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ARKAR_US.B BASIC Source Code .E01 e
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CollationAndDataType.txt Text 37a07
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RFID_test.md5 45c0868ea943c2171ff35
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errorlog_4.md5 3f7f86d69760b535bd82
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Appendix 23: Analysis of Acquired S
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2010-10-25 12:37:05.56 Server Serve
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2010-10-05 01:22:55.53 Server Detec
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2010-10-07 15:20:54.21 Server Serve
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2010-10-25 12:17:39.26 Server Serve
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2010-10-03 00:59:55.96 Server Dedic
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2010-10-02 00:11:57.85 Server -d C:
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2010-10-02 02:40:05.35 Server SQL S
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2010-10-01 23:20:15.28 Server Dedic
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2010-10-01 23:14:19.50 Server Using
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2010-10-01 23:20:12.40 Server The S
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2010-10-01 23:12:03.65 spid4s Recov
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processed. Likewise, the acquired r
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Figure 24A.3: There is no record in
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