{'fraction_non_alphanumeric': 0.011834319526627219, 'fraction_numerical': 0.0, 'mean_word_length': 5.130434782608695, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Secure similarity based document retrieval system in cloud

The introduction of Cloud computing concept has been instrumental in reducing resource unavailability in cyber world. Privacy of data stored in cloud resources though is a debatable subject and a matter of concern. As the number of documents stored on cloud resources increase, a search engine will have to be employed to search for information. Due to increased concern on these search engines itself misusing data, users are apprehensive about treating cloud resources as a data storage medium. Through this project we try to improve the security in cloud computing by introducing encryption of count list, as well as documents. The search is performed with the hashed keywords. Limitations in cloud computing are addressed by maximizing the utilization of cloud computing resources.