An Innovative Approach for Enhancing the Security of Amazigh Text Using Graph Theory Based ECC
نویسندگان
چکیده
Security in today’s world is one of the important challenges. Encryption is one of the popular methods to achieve secret communication between sender and receiver. Graph theory is widely used as a tool of encryption, due to its various properties and its easy representation in computers as a matrix. In this paper we introduce an enhanced approach of elliptic curve encryption algorithm for achieving better data protection using graph theory. Experimental results show that this proposed method is more efficient and robust.
منابع مشابه
High capacity steganography tool for Arabic text using 'Kashida'
Steganography is the ability to hide secret information in a cover-media such as sound, pictures and text. A new approach is proposed to hide a secret into Arabic text cover media using "Kashida", an Arabic extension character. The proposed approach is an attempt to maximize the use of "Kashida" to hide more information in Arabic text cover-media. To approach this, some algorithms have been des...
متن کاملEnhanced Elliptic Curve Encryption Approach of Amazigh alphabet with Braille representation
Abstract Encryption is most effective way to achieve data security. This is done by converting the data into cipher text. In this paper, we propose a new algorithm for encrypting Amazigh characters using Braille encoding. The encryption process can be divided into two main sub-processes. First, Unicode characters are embedded into points on elliptic curve and encrypted using ECC technique based...
متن کاملUsing Fuzzy LR Numbers in Bayesian Text Classifier for Classifying Persian Text Documents
Text Classification is an important research field in information retrieval and text mining. The main task in text classification is to assign text documents in predefined categories based on documents’ contents and labeled-training samples. Since word detection is a difficult and time consuming task in Persian language, Bayesian text classifier is an appropriate approach to deal with different...
متن کاملUsing Fuzzy LR Numbers in Bayesian Text Classifier for Classifying Persian Text Documents
Text Classification is an important research field in information retrieval and text mining. The main task in text classification is to assign text documents in predefined categories based on documents’ contents and labeled-training samples. Since word detection is a difficult and time consuming task in Persian language, Bayesian text classifier is an appropriate approach to deal with different...
متن کاملAn Optimal Approach to Local and Global Text Coherence Evaluation Combining Entity-based, Graph-based and Entropy-based Approaches
Text coherence evaluation becomes a vital and lovely task in Natural Language Processing subfields, such as text summarization, question answering, text generation and machine translation. Existing methods like entity-based and graph-based models are engaging with nouns and noun phrases change role in sequential sentences within short part of a text. They even have limitations in global coheren...
متن کامل