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FIT 5124 Emerging Topics for Cybersecurity in Practice
创建日期：2024-06-24 15:25:13
标签： FIT 5124
Emerging Topics for Cybersecurity in Practice

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FIT 5124 Emerging Topics for Cybersecurity in Practice


1 Overview

The objective of this assignment is to assess the learning outcomes of searching over encrypted data. Specifically, the tasks will evaluate your knowledge of security analysis of searchable symmetric encryption (SSE), count attack against SSE, countermeasures for SSE schemes, and inference attacks against encrypted databases built from property-preserving encryption.

2 Submission Policy

You need to submit a report (one single PDF file) to describe what you have done and what you have observed with screenshots whenever necessary; you also need to provide explanations or codes to the observations that are related to the tasks. In your report, you are expected to answer all the questions listed in this manual. Typeset your report into .pdf format (make sure it can be opened with Adobe Reader) and name it as the format:

[Your Name]-[Student ID]-FIT5124-Assignment1,HarryPotter-12345678-FIT5124-Assignment1.pdf.

All source code if required should be embedded in your report. Please upload the PDF file to Moodle. Note that the assignment is due on 1 April, Saturday, 11:55 pm (No extension).

Late submission penalty: 10-point deduction per day. Your assignment will not be marked after a delay of 7 days. If you require special consideration, the application should be submitted at least three days in advance via Monash Connect (https://www.monash.edu/connect). Zero tolerance on plagiarism: If you are found cheating, penalties will be applied, i.e., a zero grade for the unit. The demonstration video is also used to detect/avoid plagiarism.

Generative AI tools are not restricted for this assessment task: In this assessment, you can use generative artificial intelligence (AI) to assist you in any way

3 Security Analysis of Searchable Symmetric Encryption (30 Marks)

More detailed construction and notations can be found in the paper.

3.1 Security Definition (10 Marks)

Please give the simulation-based security definition for the above scheme regarding non-adaptive security.

3.2 Security Analysis (20 Marks)

Please perform the formal security analysis based on the security definition and the construction. Hint: leakage function definition (5 marks), steps on how to simulate the security game (5 marks), explanation on how the simulated view is indistinguishable from the real view (5 marks).

Interaction with ChatGPT (5 marks): please kindly note that you will interact with ChatGPT to answer this question. Please list your prompts and the responses from ChatGPT, perform correctness analysis on the ChatGPT response, and show how you fix the errors or inaccurate statements if any.

4 Count Attacks against Searchable Symmetric Encryption (40 marks)

4.1 Case study I: given a document set {d1, d2, d3, d4, d5, d6}, and d1 = {w1, w2,w3, w4, w6}, d2 = {w1, w2, w3, w6}, d3 = {w1, w2, w4, w6}, d4 = {w1, w4, w6}, d5 ={w4, w5, w6}, d6 = {w4, w6}, and assume that the adversary knows the above information about the document set. Then the adversary starts to launch count attacks for the document set encrypted by an SSE scheme. He observed the following query response from the server.

Note that e1,…, e6 are the permuted document IDs and the adversary does not know the mapping between them and the original ones.

Q: Please explain how to recover the underlying keyword of each query step by step,and write down the mapping between queries and keywords (10 marks).

4.2 Case study II: given a document set {d1, d2, d3, d4, d5, d6}, and d1 = {w1, w2,w3, w4, w6}, d2 = {w2, w3, w6}, d3 = {w1, w3, w4, w6}, d4 = {w1, w4, w6}, d5 = {w4,w5, w6}, d6 = {w5}, and assume that the adversary knows the above information about the document set. Then the adversary starts to launch count attacks for the document set encrypted by an SSE scheme. He observed the following query response from the server.

Q: Please explain how to recover the underlying keyword of each query step by step,and write down the mapping between queries and keywords. Can the count attack recover all queries? If not, please explain the reason. (15 marks)

4.3 Case study III: given a document set {d1, d2, d3, d4, d5, d6}, and d1 = {w1, w2,w3, w6}, d2 = {w2, w3, w4, w6}, d3 = {w1, w2, w3, w4, w6}, d4 = {w1, w3, w4, w6},d5 = {w5, w6}, d6 = {w5, w6}, and assume that the adversary knows the above information about the document set. Then the adversary starts to launch count attacks for the document set encrypted by an SSE scheme. He observed the following query response from the server.

Q: Please explain how to recover the underlying keyword of each query step by step,and write down the mapping between queries and keywords. Can the count attack recover all queries? If not, please explain the reason. (15 marks)

5 Padding Countermeasures in Searchable Symmetric Encryption (20 Marks)

The primary countermeasure for the above count attack is padding. In this task, you are given the attached source code and data:

  • Inverted_index_5000: This binary file contains the inverted index of the top 5000 most frequent keywords in the real Enron email dataset .
  • frequency_5000.csv: This .csv file details the (keyword, frequency) in the above index. This .csv file is already sorted in descending order.
  • app.py and utilities.py. The current app.py script reads the inverted index into a Python dictionary data structure, namely inverted_dict. Then, using inverted_dict[keyword] will give you the list of document identifiers mapping to that keyword. You can review these two scripts for more details.

The first padding approach (Approach #1) is to add more padding (w,id’) pairs for each keyword w such that all the keywords have the same number of real and padding pairs, where id’ is a padding document identifier. In this way, all keywords will have the result length which is the same as the result length of the most frequent keyword when the server executes the search operation in the SSE scheme.

The second padding solution (Approach #2) is to add more padding (w,id’) pairs to w such that the query’s result length of w is a multiplication of an integer. For example,the current frequency of w is 6, then it needs 4 padding (w,id’) pairs if the multiplication of 5 is used.

The above two approaches can be found in [4].


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关键词一 关键词二 关键词三 关键词四 关键词五 和法规和的发更好的风格和 ECON 615 FINC 612 CSC148 COMP 639 ACCT 203 ACCT 211 PSYC 101 MTH2009 COMP52315 PSYCO 432 statistics MATH4063 11 xxx 1 MA1MSP MAST30028 MATH3888 CS341 EEE30002 ES2F5 MCD4160 CC0933 ECON 1101 MCHM3001 CHEM3118 COMMGMT 2511 COMP41280 STAT 631 24T1 IRE379 SENG365 ECON433 FIT3139 MATH4602 LING5621M FINS5516 ECON3208 MN2177 L2 SM EEET1415 Finance DS4023 COMP3004 7CCSMRTS K1S5B6 Stat230 CSCI4211 CSI2132 ECON30130 MAS6100 ENVS222 COM2107 INFO1112 STAT 4004 FIT2100 comp2022 COMP4691 Physics 307 Econ 659 probability CSCI316 fir29 CSCI203 COMP3160 COMP6714 INFO1113 Physics 7B Physics Photonics S203031 STAT2005 COMP90015 CSCI 2110 CSCC46 Information CSC477 COMP4650 Statistical COMP 346 COMP1017 ELEC340 MATH1007 Programming function STAT 244 CS 134 Java cse13s Math 108A FW20 ECON3389 CSE 130 Science 331 COMP9020 engineering COSC 445 CSE 5523 GAME2012 visualization MATH 235 Math 370 CSC343 COGS 108 EE524 COMP10200 STAT 416 3FK4 MSCI 311 ECON6113 ACC40700 EMESTER1 MAS8383 ECO 512 STAT 8310 CMN3102 MA577 CMPT 225 COMP0045 Methods Equations MATH 113 Math 3283W ICS-33 EN4302/ENT603 BIA B350F MA318 MTHM506 MECH 5315M ECONOMICS MAS8382 COM 2004 PX3142 XJEL 3662 STAT 231 MGT B399F PX4131 COM2108 30AM MSCI521 ECONM1015 ACFI304 GR5241 MATH10101 ECON 2070 COMS31900 EFIM20011 CSE 250B ACSE-5 STAT4207 SOFT2412 ELEC 331 AY2020 MSIN0209 FIT2094 CS 241L ST404 CS 411 3D CA3 INF4002 COMP3506 SIT718 CS 188 CS 170 MATH 138 CSE 251A CMT118 DATA5207 CMPT307 CMPT459 T1 PGEE11108 COSC 3P32 ME 163 MATH96007 7QQMM203 EE6227 BA 574 STA 4234 ECO206Y1Y ECO2008 MT2300 MATH 11158 CS 527 MACM 316 CSE474 2DI70 ISE 525 COMP3411 EMAT30007 7CCSMBDT MFIN704 MFIN704W21 MfIB ECE 438 CS 436 F36 CS5344 FE 621A FE621 TBA 612 ECM3151 ECMM422 MF1 MSIN0107 ESSMENT CS 5854 MFIT 5008 MIPS R4000 ENG5274 BU52018 ENG2079 BIOA02 STA2570 F0 INF553 STAT 440 STAT3008 COMP9417 COMP6451 6COM1042 BU52006 ST303 HW-1 CISC-235 CS 510 MATH3161 ECN 140 ECE391 Comp 3613 CVEN 9625 PRG455 UESTION 1 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