scholarly journals Multi-dimensional cubic symmetric block cipher algorithm for encrypting big data

2020 ◽  
Vol 9 (6) ◽  
pp. 2569-2577
Author(s):  
Omar A. Dawood ◽  
Othman I. Hammadi ◽  
Khalid Shaker ◽  
Mohammed Khalaf

The advanced technology in the internet and social media, communication companies, health care records and cloud computing applications made the data around us increase dramatically every minute and continuously. These renewals big data involve sensitive information such as password, PIN number, credential numbers, secret identifications and etc. which require maintaining with some high secret procedures. The present paper involves proposing a secret multi-dimensional symmetric cipher with six dimensions as a cubic algorithm. The proposed algorithm works with the substitution permutation network (SPN) structure and supports a high processing data rate in six directions. The introduced algorithm includes six symmetry rounds transformations for encryption the plaintext, where each dimension represents an independent algorithm for big data manipulation. The proposed cipher deals with parallel encryption structures of the 128-bit data block for each dimension in order to handle large volumes of data. The submitted cipher compensates for six algorithms working simultaneously each with 128-bit according to various irreducible polynomials of order eight. The round transformation includes four main encryption stages where each stage with a cubic form of six dimensions.

2021 ◽  
pp. 146735842199388
Author(s):  
Orly Carvache-Franco ◽  
Mauricio Carvache-Franco ◽  
Wilmer Carvache-Franco

Coastal and marine tourism offer various topics discussed within social media communication during a pandemic. The present study analysed the discussion topics in the popular Twitter's tourism hashtags during the COVID-19 crisis related to coastal and marine tourism. The objectives were to (i) determine the discussion topics, (ii) identify the discussion topics of greater hierarchy, and (iii) determine the tourist destinations discussed. The data were collected from Twitter between March and April 2020. A total of 269,722 tweets were extracted in different languages and globally through the Twitter API of popular tourism hashtags about the COVID-19 pandemic using big data software. The word associations technique was used to process the Twitter data. The discussion topics were ‘travel’, ‘beach’, ‘cruise’, ‘sea’, ‘ocean’, ‘nature’, ‘sun’, ‘coast’, and others. The discussion topics of greatest hierarchy were ‘travel’, ‘beach’, ‘sea’, and ‘cruise’. These topics refer to the motivational dimensions‘ ‘escape’, and ‘sun and beach’. The geographic locations discussed were Spain, Canary, Hawaii, Australia, Caribbean, Bermuda, Florida, California, and others. The findings will contribute to the relationship of the topics with the tourist motivational dimensions, and the destinations discussed about marine and coastal tourism in the time of crisis in the COVID-2019 Pandemic in Twitter's tourism hashtags, and companies will also be able to improve their communication strategies and develop post-pandemic products.


2021 ◽  
Vol 12 (07) ◽  
pp. 1260-1269
Author(s):  
G Aditya ◽  
Dr Subramanian S Iyer

Twitter, Corporate Social Media Communication, Hashatg, Big Data, Content Analysis, Corporate Communication, Social Network effect.


2019 ◽  
Vol 2 (2) ◽  
pp. 177-187
Author(s):  
Venessa Agusta Gogali ◽  
Fajar Muharam ◽  
Syarif Fitri

Crowdfunding is a new method in fundraising activities based online. Moreover, the level of penetration of social media to the community is increasingly high. This makes social activists and academics realize that it is important to study social media communication strategies in crowdfunding activities. There is encouragement to provide an overview of crowdfunding activities. So the author conducted a research on "Crowdfunding Communication Strategy Through Kolase.com Through Case Study on the #BikinNyata Program Through the Kolase.com Website that successfully achieved the target. Keywords: Strategic of Communication, Crowdfunding, Social Media.


Author(s):  
EVA MOEHLECKE DE BASEGGIO ◽  
OLIVIA SCHNEIDER ◽  
TIBOR SZVIRCSEV TRESCH

The Swiss Armed Forces (SAF), as part of a democratic system, depends on legitimacy. Democracy, legitimacy and the public are closely connected. In the public sphere the SAF need to be visible; it is where they are controlled and legitimated by the citizens, as part of a deliberative discussion in which political decisions are communicatively negotiated. Considering this, the meaning of political communication, including the SAF’s communication, becomes obvious as it forms the most important basis for political legitimation processes. Social media provide a new way for the SAF to communicate and interact directly with the population. The SAF’s social media communication potentially brings it closer to the people and engages them in a dialogue. The SAF can become more transparent and social media communication may increase its reputation and legitimacy. To measure the effects of social media communication, a survey of the Swiss internet population was conducted. Based on this data, a structural equation model was defined, the effects of which substantiate the assumption that the SAF benefits from being on social media in terms of broadening its reach and increasing legitimacy values.


Informatics ◽  
2021 ◽  
Vol 8 (2) ◽  
pp. 28
Author(s):  
Paula M. Procter

Misinformation and disinformation are prevalent across society today, their rise to prominence developed mainly through the expansion of social media. Communication has always been recognised in health and care settings as the most important element between people who are receiving care and those delivering, managing, and evaluating care. This paper, through a discourse approach, will explore communication through the perception of information formed following personal selection of influencers and try to determine how such affects patient care.


2021 ◽  
pp. 1-12
Author(s):  
Shaohai Jiang ◽  
Pianpian Wang ◽  
Piper Liping Liu ◽  
Annabel Ngien ◽  
Xingtong Wu

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