SMM-CompromisedAccountDetection

Setup

Python packages

You have to install the required packages using pip:

pip install -r requirements.txt

NLTK Data

The application additionally needs the following NLTK data packages:

• punkt - Punkt Tokenizer Models

For installation instructions please visit http://www.nltk.org/data.html.

Usage

Command Line Interface

python cli.py [options]

Options

General arguments

• -a / --action ACTION The action that should be performed. Possible values are crawl and analyze
• -t / --data-source-type DATA_SOURCE_TYPE The type of the specified data source, which contains the status updates.

Crawling status updates

• -p / --dataset-path FILE_PATH The path of the output dataset, that should contain the crawled status updates.
• --user-limit LIMIT The maximum number of accounts to crawl. (default: 100)

Analyzing status updates

• -c / --classifier-type CLASSIFIER_TYPE The type of the classifier to be trained. (currently only decision_tree)
• -p / --dataset-path FILE_PATH The path of the dataset, which contains the status updates.
• -u / --twitter-user TWITTER_USER_ID The id of the twitter user, whose status updates should be analyzed.
• -n / --experiments-count NUMBER_OF_EXPERIMENTS The number of experiments to run. (default: 10)

Examples

# Crawl 50 most popular users
python cli.py -a crawl -t twitter -p output.csv --user-limit 50

# Analyze 'Follow the Hashtag' dataset using an decision tree
python cli.py -a analyze -t fth -p fth.csv -c decision_tree

# Analyze twitter user @katyperry using an decision tree with 150 experiments
python cli.py -a analyze -t twitter -u katyperry -c decision_tree -n 150

Web App

./run_app_dev.sh