English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Honey Encryption is an approach to encrypt the messages using low min-entropykeys, such as weak passwords, OTPs, PINs, credit card numbers. The ciphertextis produces, when decrypted with any number of incorrect keys, producesplausible-looking but bogus plaintext called "honey messages". But the currenttechniques used in producing the decoy plaintexts do not model human languageentirely. A gibberish, random assortment of words is not enough to fool anattacker; that will not be acceptable and convincing, whether or not theattacker knows some information of the genuine source.  In this paper, I focus on the plaintexts which are some non-numericinformative messages. In order to fool the attacker into believing that thedecoy message can actually be from a certain source, we need to capture theempirical and contextual properties of the language. That is, there should beno linguistic difference between real and fake message, without revealing thestructure of the real message. I employ natural language processing andgeneralized differential privacy to solve this problem. Mainly I focus onmachine learning methods like keyword extraction, context classification,bags-of-words, word embeddings, transformers for text processing to modelprivacy for text documents. Then I prove the security of this approach withe-differential privacy.

Differential Privacy and Natural Language Processing to Generate Contextually Similar Decoy Messages in Honey Encryption Scheme