Chaotic-Based and Biologically Inspired Cryptosystems for Secure Image Communication and Storage

Author(s):  
El-Sayed M. El-Alfy

Protecting confidentiality of sensitive data is growing in importance in many personal, commercial, governmental, medical and military applications. Data encryption remains the most prevalent mechanism for this goal in cybersecurity to store and communicate data in unintelligible form. However, images are known to have intrinsic characteristics different from text, which limit the applicability of conventional cryptographic algorithms. This chapter provides a review of the work related to image cryptosystems based on chaos theory and biologically-inspired algorithms. Then, a case study is presented using ideas from genetic crossover and mutation to confuse and diffuse images to generate secure cipher images with very low correlation between pixels.

Author(s):  
Riyadh Bassil Abduljabbar ◽  
Oday Kamil Hamid ◽  
Nazar Jabbar Alhyani

The data communication has been growing in present day. Therefore, the data encryption became very essential in secured data transmission and storage and protecting data contents from intruder and unauthorized persons. In this paper, a fast technique for text encryption depending on genetic algorithm is presented. The encryption approach is achieved by the genetic operators Crossover and mutation. The encryption proposal technique based on dividing the plain text characters into pairs, and applying the crossover operation between them, followed by the mutation operation to get the encrypted text. The experimental results show that the proposal provides an important improvement in encryption rate with comparatively high-speed Processing.


In order to find more sophisticated ways to remain in competition in the stock market, investors and analysts are finding procedures based on nature-inspired artificial intelligence-based algorithms. It is seen that interest of researchers has grown in these technologies in the past years. These newer techniques have changed the investment arena of the stock market. A lot of thought process, hard work, creativeness, and knowledge about these algorithms are required to implement them in the stock investment area. In the past, few people have had the privilege to implement and obtain better results by using these algorithms. But with the access to affordable computing systems and experts with the knowledge of these computing systems, we can take advantage of making profit from the market. This chapter explains the detail working of these AI techniques such as chaos theory, neural networks, fuzzy logic, and genetic algorithms in detail.


2019 ◽  
Author(s):  
Michael Petronis ◽  
◽  
Vincent Twomey ◽  
William McCarthy ◽  
Craig MaGee
Keyword(s):  

2021 ◽  
Vol 57 ◽  
pp. 126939
Author(s):  
Mari Ariluoma ◽  
Juudit Ottelin ◽  
Ranja Hautamäki ◽  
Eeva-Maria Tuhkanen ◽  
Miia Mänttäri

2021 ◽  
Vol 13 (1) ◽  
pp. 336
Author(s):  
Jelena Maric ◽  
Djukic Aleksandra ◽  
Branislav Antonic ◽  
Danilo Furundzic ◽  
Vladimir Parezanin

Working people spend around 54% of their waking hours at a workplace, according to recent statistics. Work-related stress is unavoidable, and it can damage the health of employees and affect business performance. In this paper, we argue that open space inside the workplace environment can have a positive influence on reducing overall stress levels in all the categories of users. To our knowledge, there is a significant lack of research considering specific business districts and the gated complexes called business parks, especially in post-socialist Eastern European cities, where there they are still a novelty. Empirical research in this study is on the single case study of Business Park “Airport city” in Belgrade, Serbia. Its main focus is on the survey conducted with 235 participants based on a questionnaire, which examines the relation between workplace stress and workplace environments. The findings from the questionnaire show that the frequency, duration, and activity of open space usage influence the stress levels of employees in this specific workplace, while it is not visible relating to their age and gender. Additionally, final implications suggest that improved open space, such as well-expected greenery, but also the urban design non-associative to workspace and the socialization and exercise amenities customized for frequent and short work breaks, can facilitate the overall well-being of employees. They are innovative elements in relatively underdeveloped research on stress measures with open space usage characteristics in the specific (gated) workplace setting.


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