IM-DSSE: A Secure Searchable Encryption Framework for Privacy-Critical Cloud Storage Services

Basic implementation of IM-DSSE. The full paper is available here (free, but not updated version here). This project is built on CodeLite IDE. It is recommended to install CodeLite to load the full IM-DSSE workspace.

Required Libraries

1. ZeroMQ

2. Libtomcrypt

3. Google sparsehash

4. Intel AES-NI (optional)

Intel AES-NI installation guide (optional)

IM-DSSE leverages Intel AES-NI to accelerate cryptographic operations. The Intel-AES-NI is available in Intel® Core™ i5, Intel® Core™ i7, Intel® Xeon® 5600 series and newer processor (see here for a complete list). This functionality can be disabled to test IM-DSSE with other CPU models (see the Configuration Section below). Here the brief instruction to install Intel-AES-NI:

1. Extract the .zip file downloaded from here
2. Open the Terminal and go to Intel_AESNI_Sample_Library_v1.2/intel_aes_lib
3. Run ./mk_lnx_libXX.sh, which will generate the header and library files in intel_aes_lib/include/ and intel_aes_lib/lib/xXX/ directories, respectively, where XX = 64 (if your OS is 64 bits) or XX = 86 (if your OS is 32 bits).
4. Add the lib prefix to the generated library file (intel_aesXX.a -> libintel_aesXX.a).
5. Copy header files and library files to your local folders (e.g., /usr/local/include and /usr/local/lib).

Configuration

All IM-DSSE configurations are located in IM-DSSE/config.h.

Highlighted Parameters:

#define INTEL_AES_NI				-> If enabled, use Intel AES-NI library

#define VARIANT_I                  		-> Set 1 of 4 options: VARIANT_MAIN, VARIANT_I, VARIANT_II, VARIANT_III

#define DISK_STORAGE_MODE            	   	-> If enabled, encrypted index will be stored on HDD (RAM if disabled)
	
#define SEND_SEARCH_FILE_INDEX        		-> If enabled, search result will contain specific file indexes

#define PEER_ADDRESS "tcp://localhost:5555"	-> Server IP Address & Port

const std::string SERVER_PORT = "5555";		-> Server Port number

#define  MAX_NUM_OF_FILES 1024              	-> Maximum number of files (It MUST be the power of 2 and divisible by 8)

#define  MAX_NUM_KEYWORDS 12000             	-> Maximum number of keywords

Notes

The folder IM-DSSE/data as well as its structure are required to store generated IM-DSSE data structures. The database is located in IM-DSSE/data/DB. The implementation recognize DB as a set of document files so that you can copy your DB files to this location. The current DB contains a small subset of enron DB (link: https://www.cs.cmu.edu/~./enron/).

Build & Compile

Goto folder IM-DSSE/ and execute

make

, which produces the binary executable file named IM-DSSE in IM-DSSE/Debug/.

If there is an error regarding to BOOL/bool type when compiling with Intel-aes-ni

• Access the AES-NI header file named iaesni.h, go to line 51, and comment that line as follows:

#ifndef bool
//#define bool BOOL 			-> line 51
#endif

If the hardware does not support Intel-aes-ni

1. Disable INTEL_AES_NI in IM-DSSE/config.h

2. Remove the library linker -lintel-aes64 in the make file IM-DSSE/MakeFile

Usage

Run the binary executable file IM-DSSE, which will ask for either Client or Server mode. The IM-DSSE implementation can be tested using either single machine or multiple machines with network:

Local Testing:

1. Set PEER_ADDRESS in IM-DSSE/config.h to be localhost.
2. Choose SERVER_PORT identical with what indicated in PEER_ADDRESS.
3. Compile the code with make in the IM-DSSE/ folder.
4. Go to IM-DSSE/Debug and run the compiled IM-DSSE file with two different Terminals, each playing the client/server role.

Real Network Testing:

1. Set PEER_ADDRESS and SERVER_PORT in IM-DSSE/config.h with the corresponding server's IP address and port number.
2. Run make in IM-DSSE/ to compile and generate executable file IM-DSSE in IM-DSSE/Debug folder.
3. Copy the file IM-DSSE in IM-DSSE/Debug to different machines
4. Execute the file and follow the instruction on the screen.

Android Build

(To be updated)

Citing

If the code is found useful, we would be appreciated if our paper can be cited with the following bibtex format

@article{8632753, 
author={T. {Hoang} and A. A. {Yavuz} and J. {Guajardo Merchan}}, 
journal={IEEE Transactions on Services Computing}, 
title={A Secure Searchable Encryption Framework for Privacy-Critical Cloud Storage Services}, 
year={2019}, 
volume={}, 
number={}, 
pages={1-1}, 
keywords={Cloud computing;Indexes;Encryption;Privacy;Complexity theory;Privacy-enhancing technologies, private cloud services;dynamic searchable symmetric encryption}, 
doi={10.1109/TSC.2019.2897096}, 
ISSN={2372-0204}, 
month={},}
}

Further Information

For any inquiries, bugs, and assistance on building and running the code, please contact me at hoangm@mail.usf.edu.