New Key-Dependent S-Box Generation Algorithm on AES

2021 ◽  
Vol 13 ◽  
Author(s):  
Proteeti Das ◽  
Najmul Hoque Munshi ◽  
Subhasis Maitra
Keyword(s):  
Data Encryption ◽  
Secret Key ◽  
Chi Square ◽  
Avalanche Effect ◽  
Generation Algorithm ◽  
Proposed Model ◽  
Chi Square Test ◽  
Overall Performance ◽  
Cryptographic Techniques ◽  
Low Charge

Aims: Cryptography means 'hidden secrets'. The primary purpose of cryptography is to protect network and data over a wireless communication channel. The cryptographic approach secures the data of a network from any internal or external attacks. Background: There are several kinds of cryptographic techniques that are Data Encryption Standard (DES), RSA (Rivest- Shamir- Adleman), Advanced Encryption Standard (AES), Blowfish, Twofish etc. Out of these algorithms, AES shows wide acceptance for its superiority in providing confidentiality to secret information. Another cause for extensive acceptance is, AES is simple, convenient to implement, low charge and higher security. Several changes have been proposed to modify in recent times by cryptographers and researchers all around the world. Objective: This research paper offers a new key-dependent s-box generation algorithm for AES. Methods: A list of irreducible polynomials of degree 8 is used to generate the s-box depending on the secret key to provide more invulnerable ciphertext in comparison to standard AES. This design of this proposed model is easy and convenient to implement than different dynamic s-box technology algorithm. Results : The metrics chosen for overall performance evaluation are Frequency Distribution, Chi-square Test, Avalanche Effect, and Strict Avalanche Criterion. Conclusion: The proposed algorithm satisfies the desired property of these metrics and provides better security in contrast to standard AES.

Pengamanan Data melalui Model Super Enkripsi Autokey Cipher dan Transposisi Kolom

2021 ◽  
Vol 5 (6) ◽  
pp. 1113-1119
Author(s):  
Muhammad Fadlan ◽  
Haryansyah ◽  
Rosmini
Keyword(s):  
Data Security ◽  
Measurement Tool ◽  
Test Results ◽  
Avalanche Effect ◽  
A Value ◽  
Proposed Model ◽  
High Level ◽  
Cryptographic Techniques ◽  
Effect Test ◽  
Effect Method

One of the essential instruments in the cyber era is data. Therefore, maintaining data security is an important thing to do. One way that can be done to maintain data security is through cryptography. In cryptography, two basic techniques are commonly used, namely substitution techniques and transposition techniques. One of the weaknesses of the basic cryptographic techniques is the lower level of data security. This study proposed a super encryption model in securing data by combining cryptographic algorithms with substitution techniques, i.e., autokey cipher and transposition, i.e., columnar transposition cipher. This study used the Avalanche Effect method as a measurement tool for the proposed super encryption model. The test results have shown that the proposed super encryption model can provide a better level of security. The avalanche effect test on the five data test shows that the average AE value of the proposed super encryption model is 30.76%. This value is higher than the single autokey cipher algorithm of 1.66% and column transposition with a value of 18.03%. Other results from the five data test have shown that the proposed model has a high level of accuracy of 100% in terms of the decryption process results, which is the same as the initial data before going through the encryption process.  

scholarly journals Improved Label Propagation Model to Predict Drug - drug Interactions

2018 ◽  
Vol 173 ◽  
pp. 02007
Author(s):  
Zhice Yan ◽  
Lasheng Zhao ◽  
Xiaopeng Wei ◽  
Qiang Zhang
Keyword(s):  
Drug Interactions ◽  
Characteristic Curve ◽  
Clinical Stage ◽  
Real Life ◽  
Propagation Model ◽  
Label Propagation ◽  
Chi Square ◽  
Propagation Algorithm ◽  
Proposed Model ◽  
Chi Square Test

Drug-drug interactions (DDIs) is one of the most concerned issues in drug design. Accurate prediction of potential DDIs in clinical trials can reduce the occurrence of side effects in real life of drugs. Therefore, we propose a model to predict DDIs. The model integrates several methods that can improve label propagation algorithm. Firstly, the chi-square test (CHI) method is adopted to filter or select the features that contain a large amount of information. Secondly, the sample similarity calculation method is reconstructed by label similarity and feature similarity. Then the label initialization information of unlabeled samples is constructed. Finally, we use label propagation algorithm to estimate the labels of the unlabeled drugs. The results show that the proposed model can obtain higher the area under the receiver operating characteristic curve (AUROC) and the area under the precision-recall curve (AUPR), which provides a favorable guarantee for the discovery of DDIs in the clinical stage.

scholarly journals Product Performance Satisfaction Level of Mutual Fund Investors

2019 ◽  
pp. 8-13
Author(s):  
Dr Basil John Thomas
Keyword(s):  
Service Quality ◽  
Mutual Fund ◽  
Product Performance ◽  
Satisfaction Level ◽  
Fund Management ◽  
Chi Square ◽  
Significant Difference ◽  
Chi Square Test ◽  
Overall Performance ◽  
Performance Satisfaction

Product performance satisfaction level can be referred to as the satisfaction level of mutual fund investors in terms of return, transparency, safety, liquidity, service quality, fund management and the overall performance of the mutual fund products. Here, the researcher attempted to analyze the satisfaction level of mutual fund investors concerning different funds/schemes opted by the investors. Based on these objectives seven parameters of satisfaction of mutual fund investors including the overall performance of the fund has been taken into consideration. The findings of the standardized regression weight of product performance satisfaction level and the Chi-square test reveals that there is a significant difference in the product performance satisfaction level of mutual fund investors about the funds opted by them (except in case of balanced-fund).

scholarly journals Factors influencing students' performance in a Brazilian dental school

2010 ◽  
Vol 21 (1) ◽  
pp. 80-86 ◽  
Author(s):  
Erica Tatiane da Silva ◽  
Maria de Fátima Nunes ◽  
Maria Goretti Queiroz ◽  
Cláudio R. Leles
Keyword(s):  
Undergraduate Students ◽  
Female Gender ◽  
Dental School ◽  
Attendance Rate ◽  
Chi Square ◽  
Lower Performance ◽  
Chi Square Test ◽  
Student’S Performance ◽  
Overall Performance ◽  
Educational Variables

Comprehensive assessment of students' academic performance plays an important role in educational planning. The aim of this study was to investigate variables that influence student's performance in a retrospective sample including all undergraduate students who entered in a Brazilian dental school, in a 20-year period between 1984 and 2003 (n=1182). Demographic and educational variables were used to predict performance in the overall curriculum and course groups. Cluster analysis (K-means algorithm) categorized students into groups of higher, moderate or lower performance. Clusters of overall performance showed external validity, demonstrated by Chi-square test and ANOVA. Lower performance groups had the smallest number of students in overall performance and course groups clusters, ranging from 11.8% (clinical courses) to 19.2% (basic courses). Students' performance was more satisfactory in dental and clinical courses, rather than basic and non-clinical courses (p<0.001). Better student's performance was predicted by lower time elapsed between completion of high school and dental school admission, female gender, better rank in admission test, class attendance rate and student workload hours in teaching, research and extension (R²=0.491). Findings give evidence about predictors of undergraduate students' performance and reinforce the need for curricular reformulation focused on with improvement of integration among courses.

scholarly journals XGBoost-Based Framework for Smoking-Induced Noncommunicable Disease Prediction

2020 ◽  
Vol 17 (18) ◽  
pp. 6513
Author(s):  
Khishigsuren Davagdorj ◽  
Van Huy Pham ◽  
Nipon Theera-Umpon ◽  
Keun Ho Ryu
Keyword(s):  
Public Health ◽  
The United States ◽  
Noncommunicable Disease ◽  
Noncommunicable Diseases ◽  
Gradient Boosting ◽  
Chi Square ◽  
Proposed Model ◽  
Extreme Gradient Boosting ◽  
Chi Square Test ◽  
Interpretable Models

Smoking-induced noncommunicable diseases (SiNCDs) have become a significant threat to public health and cause of death globally. In the last decade, numerous studies have been proposed using artificial intelligence techniques to predict the risk of developing SiNCDs. However, determining the most significant features and developing interpretable models are rather challenging in such systems. In this study, we propose an efficient extreme gradient boosting (XGBoost) based framework incorporated with the hybrid feature selection (HFS) method for SiNCDs prediction among the general population in South Korea and the United States. Initially, HFS is performed in three stages: (I) significant features are selected by t-test and chi-square test; (II) multicollinearity analysis serves to obtain dissimilar features; (III) final selection of best representative features is done based on least absolute shrinkage and selection operator (LASSO). Then, selected features are fed into the XGBoost predictive model. The experimental results show that our proposed model outperforms several existing baseline models. In addition, the proposed model also provides important features in order to enhance the interpretability of the SiNCDs prediction model. Consequently, the XGBoost based framework is expected to contribute for early diagnosis and prevention of the SiNCDs in public health concerns.

scholarly journals Multilayer neural network synchronized secured session key based encryption in wireless communication

2019 ◽  
Vol 8 (1) ◽  
pp. 44 ◽  
Author(s):  
Arindam Sarkar
Keyword(s):  
Neural Network ◽  
Wireless Communication ◽  
Multilayer Perceptron ◽  
Secret Key ◽  
Session Key ◽  
Chi Square ◽  
Plain Text ◽  
Chi Square Test ◽  
Hidden Layer ◽  
Final Block

In this paper, multilayer neural network synchronized session key based encryption has been proposed for wireless communication of data/information. Multilayer perceptron transmitting systems at both ends accept an identical input vector, generate an output bit and the network are trained based on the output bit which is used to form a protected variable length secret-key. For each session, different hidden layer of multilayer neural network is selected randomly and weights or hidden units of this selected hidden layer help to form a secret session key. The plain text is encrypted through chaining , cascaded xoring of multilayer perceptron generated session key. If size of the final block of plain  text is less than the size of the key then this block is kept unaltered.  Receiver will use identical multilayer perceptron generated session key for performing deciphering process for getting the plain text. Parametric tests have been  done and results are compared in terms of Chi-Square test, response time in transmission with some existing classical techniques, which shows comparable results for the proposed technique.

scholarly journals Regression model of rank –frequency data of Tamil text

2018 ◽  
Vol 7 (3) ◽  
pp. 1558
Author(s):  
S Lakshmisridevi ◽  
R Devanathan
Keyword(s):  
Regression Model ◽  
Goodness Of Fit ◽  
Arbitrary Order ◽  
English Text ◽  
Frequency Data ◽  
Goodness Of Fit Test ◽  
Chi Square ◽  
Proposed Model ◽  
Chi Square Test ◽  
Zipf Law

The application of Zipf’s law is universal not only in linguistics but also in various other areas. Mandelbrot modified Zipf law as Zipf Mandelbrot law and it is further we proposed a modification of the ZM law for modeling rank frequency- data of linguistic text. Our model generalized ZM law into a linear regression model involving arbitrary order of Zipfian rank of words in a text .The performance of the proposed model is studied for an English text and it shown to compare favorably with that of Z-M law using Chi-Square goodness of fit test. In this paper we have applied to Tamil text and its performance is also up to the mark and it is been proved by the Chi-Square test and it addresses mainly the lower ranks, we propose to extend the work to higher order ranks using LNRE model in the future. 

Hubungan Antara Menyusui Dengan Involusi Uterus Pada Ibu Nifas Fisiologis Di RSIA Aura Syifa Kabupaten Kediri

1970 ◽  
Vol 5 (2) ◽  
pp. 64
Author(s):  
Eny Sendra ◽  
Dewi Indriani
Keyword(s):  
Breast Feeding ◽  
Sampling Technique ◽  
Chi Square ◽  
Cross Sectional ◽  
Fisher Test ◽  
Key Word ◽  
Chi Square Test ◽  
The Moment

Breast feeding is giving milk to be drunk to the baby from the breast. Uterus involution is a process how the uterus return to the condition back, before pregnanting after bearing. At the moment of suckling, happens a stimulus and brings the hormones out, such as oksitosin uses not only to stimulate some muscles constraction but also to stimulate the uterus, so that the process of uterus involution happens foster. According to the explanations above, the research aimed to know about the correlation between breast feeding and uterus involution. This research’s design was, cross sectional by the population of all childbirth mothers approximately 50 persons / month. By using accidental sampling technique we got 21 sample respondents. The place of research in RSIA Aura Syifa in Kediri Regency on 16th until 22nd of June 2009. From this research’s result, we got 14 persons (66,67%) with normal uterus involution, suckled in a good way, one person (4,67%) with normal uterus involution, suckled in a wrong way, 2 persons (9,52%) with abnormal uterus involution, suckled in a good way and 4 persons (19,05%) with abnormal uterus involution, suckled in a wrong way. Statistic test which used chi-square test, counted the probability frequency in advance, from that we got 3 columns with the score, less than 5, so that chi-square can not be continued and by doing exact fisher test, the score was 0,001. Because P with the grade mistake 0,05 smaller, so the conclusion was “Ho” is rejected, it meant “there was correlation between suckling and uterus involution”. Key Word : Breast feeding, uterus involution

FAKTOR PERSONAL YANG BERHUBUNGAN DENGAN KOMITMEN ORGANISASI PERAWAT RSUD EMBUNG FATIMAH BATAM

2020 ◽  
Vol 5 (3) ◽  
pp. 875
Author(s):  
Asfri Sri Rahmadeni
Keyword(s):  
Organizational Commitment ◽  
Turnover Rate ◽  
Sampling Technique ◽  
Hospital Nurses ◽  
Test Results ◽  
Personal Factors ◽  
High Turnover ◽  
Chi Square ◽  
Cross Sectional ◽  
Chi Square Test

<p class="Normal1"><em>Commitment is the attitude or behavior of likes or dislikes shown by someone against the organization at work. Indonesia is recorded as a nurse who has a low organizational commitment (76%) so it harms services. This phenomenon in the hospital can be seen from the indicator of the high turnover rate of nurses which reaches 30.9% which exceeds the standard &lt;5%. Many factors affect organizational commitment. The purpose of this study was to analyze the Personal Factors Associated with Organizational Commitment of Hospital Nurses. This study is a cross-sectional analytic study and purposive sampling technique with a sample of 59 nurses. Chi-Square test results obtained personal factors that have a relationship with organizational commitment Nurse Hospital is age with p = 0,000 and education with p = 0,000, personal factors not related to organizational commitment are gender p = 1,053 and years of service with p = 1,147. Hospitals should conduct research/surveys on Organizational Commitment periodically as an evaluation material in the context of the organization's development and development in the future</em>.</p>

GAMBARAN INDEKS LARVA AEDES AEGYPTI DI BUFFER WILAYAH KERJA BANDARA SEPINGGAN BALIKPAPAN

2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Abdurrakhman abdurrakhman Abdurrakhman
Keyword(s):  
Aedes Aegypti ◽  
Buffer Zone ◽  
Chi Square ◽  
Cross Sectional ◽  
Breeding Sites ◽  
Dengue Disease ◽  
Vector Borne Diseases ◽  
Transportation Equipment ◽  
Chi Square Test ◽  
Larvae Density

ABSTRACT : The House index and Container Index in the buffer area of ​​the working area of ​​Balikpapan Sepinggan Airport is still above 1%, so the potential for the spread of dengue disease. Mobilization of people, goods and transportation equipment will increasingly affect the transmission of disease in ports and airports, especially for vector-borne diseases. This study aims to analyze the risk factors associated with larvae density of Aedes aegypti and describe the larvae index in the buffer zone of the Sepinggan Balikpapan Airport This study was a descriptive study with a cross sectional design. The sample in this study was 121 houses with a proportionate stratified random sampling, the research location was in the buffer zone of Sepinggan Balikpapan Airport in November 2018. The variables studied were houses with positive larvae containers, breeding sites and PSN behavior and larvasidation. The data was analyzed using the chi square test. There was a relationship between houses with larvae positive Aedes aegypti, behavior of Mosquito Nest Eradication (PSN) and larvasidation with larvae density of Aedes aegypti but not for breeding sites (p = 0.00 and 95% CI = 0.64), and   (p = 0.00 and 95% CI = 0.34). The description of several Aedes aegypti larvae index, namely House Index (HI) = 57.02%, Container Index (CI) = 24.36%, Bruteau Index (BI) = 148.76, and Flick Free Numbers (ABJ) = 42.98 %. Houses with larvae of Aedes aegypti larvae and PSN and larvasidation behavior were associated with larvae density of Aedes aegypti. The index of HI, CI and BI larvae is of high value so there is a risk of DBD transmission

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