Pub Date : 2022-10-21DOI: 10.1109/INMIC56986.2022.9972963
Qammar Un nisa, M. A. Shah
An online data storage and retrieval system known as a cloud computing environment makes it easier for users to access data from virtually anywhere at any time. However, according to the CIA triad, data kept on the cloud is vulnerable to data breaches. Data integrity and authentication can be compromised since end users and third parties are both permitted access to the data. With the help of cryptographic algorithms like elliptic curve cryptography (ECC), numerous methods and protocols have been developed to ensure the security and integrity of data. A popular symmetric key block cypher method is the data encryption standard (DES). Up until it was proven unsafe, the security of DES was a sensitive and resolved topic. In this research, we present a method for protecting data transmission among users in cloud computing that, when combined with ECC, can address the security issue with DES. We present a hybrid approach that combines two cryptographic methods. We propose a solution to reduce the key size issue. In comparison to existing encryption systems, our system ensures data confidentiality and authentication integrity. By retaining more space, our plan reduces computational complexity.
{"title":"A Hybrid Model for Cloud Data Security Using ECC-DES","authors":"Qammar Un nisa, M. A. Shah","doi":"10.1109/INMIC56986.2022.9972963","DOIUrl":"https://doi.org/10.1109/INMIC56986.2022.9972963","url":null,"abstract":"An online data storage and retrieval system known as a cloud computing environment makes it easier for users to access data from virtually anywhere at any time. However, according to the CIA triad, data kept on the cloud is vulnerable to data breaches. Data integrity and authentication can be compromised since end users and third parties are both permitted access to the data. With the help of cryptographic algorithms like elliptic curve cryptography (ECC), numerous methods and protocols have been developed to ensure the security and integrity of data. A popular symmetric key block cypher method is the data encryption standard (DES). Up until it was proven unsafe, the security of DES was a sensitive and resolved topic. In this research, we present a method for protecting data transmission among users in cloud computing that, when combined with ECC, can address the security issue with DES. We present a hybrid approach that combines two cryptographic methods. We propose a solution to reduce the key size issue. In comparison to existing encryption systems, our system ensures data confidentiality and authentication integrity. By retaining more space, our plan reduces computational complexity.","PeriodicalId":404424,"journal":{"name":"2022 24th International Multitopic Conference (INMIC)","volume":"149 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125880810","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-21DOI: 10.1109/INMIC56986.2022.9972972
Muhammad Wisal, A. Mustafa, Umair Arshad
Urdu is the official language of Pakistan and a familiar language in the South Asian countries. It is spoken as the first language by nearly 70 million people and as a second language by more than 100 million people, mainly in Pakistan and India. Most of the textual communication is not pure Roman Urdu. There are words of actual English in between those Roman Urdu sentences. It is necessary to have a translator that can translate these code-mixed sentences into Urdu because the purpose of any language is to communicate. It can be difficult for a machine to understand the shift of languages in between a sentence. In the past, researchers have worked on Urdu transliteration and rule-based translation. However, a pure translation of mixed Roman Urdu to Urdu with such accuracy is novel. In this research, we have introduced Mixed Language (Roman Urdu and English) to the Urdu translator. A deep learning pre-trained model “g2p_multilingual_byT5_small” is fine-tuned with a newly created corpus of Mixed Roman Urdu sentences and their translations in pure Urdu. With a BLEU score of 66.73, It can translate text messages, paragraphs, or any descriptions from Roman Urdu to Urdu. We have carried out this research using Python programming language and the model training on Google Colab.
{"title":"CMRUTU: Code Mixed Roman Urdu (Roman Urdu and English) to Urdu Translator","authors":"Muhammad Wisal, A. Mustafa, Umair Arshad","doi":"10.1109/INMIC56986.2022.9972972","DOIUrl":"https://doi.org/10.1109/INMIC56986.2022.9972972","url":null,"abstract":"Urdu is the official language of Pakistan and a familiar language in the South Asian countries. It is spoken as the first language by nearly 70 million people and as a second language by more than 100 million people, mainly in Pakistan and India. Most of the textual communication is not pure Roman Urdu. There are words of actual English in between those Roman Urdu sentences. It is necessary to have a translator that can translate these code-mixed sentences into Urdu because the purpose of any language is to communicate. It can be difficult for a machine to understand the shift of languages in between a sentence. In the past, researchers have worked on Urdu transliteration and rule-based translation. However, a pure translation of mixed Roman Urdu to Urdu with such accuracy is novel. In this research, we have introduced Mixed Language (Roman Urdu and English) to the Urdu translator. A deep learning pre-trained model “g2p_multilingual_byT5_small” is fine-tuned with a newly created corpus of Mixed Roman Urdu sentences and their translations in pure Urdu. With a BLEU score of 66.73, It can translate text messages, paragraphs, or any descriptions from Roman Urdu to Urdu. We have carried out this research using Python programming language and the model training on Google Colab.","PeriodicalId":404424,"journal":{"name":"2022 24th International Multitopic Conference (INMIC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121872142","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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