Recently, the interest in cybercrime and cybersecurity has increased dramatically both in terms of critical security issues and national economic information infrastructure and sensitive dealing policies, such as protection and data privacy. Moreover, the growing threat of cybersecurity has prompted the kingdom to pay more attention to its national cybersecurity strategy as the state embarks on a Vision 2030 plan, which aims to diversify the economy and create new jobs. Therefore, Any Computer system is always having security threats which are considered a big problem, and this includes application Codes as increasing demand. The paper aims to give detailed information about Secure Coding with Python and present security guidelines and considerations in di erent disciplines. It focuses on giving an overview of the authentication methods used in the application (Code) and showing program security mistakes to introduce vulnerabilities (Ex. SQL Injection). We review the new user authentication techniques, making it easier for the manager to choose the appropriate techniques for his organization by understanding the way it works, its advantages, and disadvantages. The administrator can integrate these mechanisms in a manner that is appropriate for his security plan. This will be useful for programmers and users to keep their codes and applications more Secure and viable for usage in sensitive environments.

In this paper, we propose a new framework for joint encryption enCoding scheme based on polar codes, namely efficient and Secure joint secret key encryption channel Coding scheme. The issue of using new Coding structure, i.e. polar codes in Rao-Nam (RN) like schemes is addressed. Cryptanalysis methods show that the proposed scheme has an acceptable level of security with a relatively smaller key size in comparison with the previous works. The results indicate that the scheme provides an efficient error performance and benefits from a higher code rate which can approach the channel capacity for large enough polar codes. The most important property of the proposed scheme is that if we increase the block length of the code, we can have a higher code rate and higher level of security without significant changes in the key size of the scheme. The resulting characteristics of the proposed scheme make it suitable for high-speed communications, such as deep space communication systems.

Research in the area of Internet of things (IoT) and cloud computing has gained a considerable attention in today's world of information technology (IT). Data compression and security are increasingly appreciated due to their imperative roles in online data sharing and transfer in multimedia networks. Hence, image compression is focused on reducing data redundancy and saving memory and transmission bandwidth. Because of the increased entropy of coded images, it is difficult to reduce the amount of lossless information after encryption using the existing methods. Accordingly, using the hybrid Huffman Coding algorithm, it is possible to guarantee the security and verification of information. Therefore, an efficient compression method is proposed that combines fuzzy logic with Huffman Coding. In this method, Coding is based on Hoffman code, which is statistically independent and defines fuzzy logic-based weighting functions for the frequency of the existing symbols in data to generate efficient code for compression. Fuzzy logic is then coded to provide a Secure information mapping on the information codes. In this proposed system, the key information is coded using the special key of that information and the data is embedded using the data encryption key and data in the receiver are decoded using the same key. Here, different compression techniques are compared with Huffman Coding. The simulation is performed under matlab2017b software. The results show that a good compression rate is achieved, there is no significant difference between the decoded and original images and compression ratio in the image is increased to over 40%.

In this paper, we develop a new error-resistant Secure lossless source Coding scheme for discrete sources. Recent results indicate that the same turbo principle that provides sub-optimal strategy for channel Coding, can be used to obtain efficient source Coding schemes. We extend the source turbo-Coding idea to include security for transmission of the compressed data and also to ensure the lossless recovery of information at the receiver. Compression and security are achieved by adapting the random puncturing strategy to the statistics of the source. Lossless compression is guaranteed by finely puncturing the encoded data of a parallel-concatenated turbo code while verifying the integrity of the source information at the source encoder. Simulation results show that the proposed scheme can obtain a compression rate close to the source entropy. For the same block length, this scheme yields better compression rates in comparison with the Lempel-Ziv universal source Coding. The proposed scheme has a robust and error-resistant performance over noisy channels for Eb/N0>5 dB.

Both Secure and error control Coding are very extensive subjects, each with a variety of sub- disciplines. A Secure channel Coding (joint encryption-channel Coding) scheme provides both data secrecy and data reliability in one process to combat problems in an inSecure and unreliable channel. In this paper, a joint encryption-channel Coding scheme is developed, based on concatenated turbo codes for more efficient and Secure transmission of LEO satellite data. Reliability and security are achieved by adapting the pseudo-random puncturing strategy with a change of distance between satellites and ground stations in the communication séance, an issue further burdened by reducing energy consumption or increasing bit rate of data transmission. Simulation results show the relevance and superior performance of the proposed scheme compared with the traditional data transmission system.

Background: Malnutrition in the early years of life can have many consequences. Feeding Practices and food security are associated factors with nutritional health of children. This study aimed to determine the relation of feeding Practices score to stunting and wasting in the food-Secure and inSecure households in Rey County of Iran.Method: This was a case- control study, conducted in the spring of 2011 on 160>1y children, separately in food-Secure and inSecure households.An interview was conducted using an 18-item food security questionnaire (USDA), a feeding Practices questionnaire (prepared by study team according to WHO indicators or Guiding principles), and also a public questionnaire to extract the information from mothers.Results: Birth weight, birth order and feeding Practices score were significantly associated with nutritional status of children in the inSecure households (P value<0.05). However, among food Secure households, none of the studied variables were associated with nutritional status of children. Many similar studies have found an association between feeding Practices score and nutritional status of children, but none of them have checked the family food security.Conclusion: These results showed the vulnerability of nutritional status of children in food-inSecure households compared to food Secure households influenced by feeding Practices score and other investigated factors. Therefore, improving feeding Practices in food-inSecure households, can improve nutritional status of the households and reduce direct and indirect Complications of food insecurity.