Intertwining and NCA maps based new image encryption scheme

In this digital era, the Internet is a main source of communication. Due to exponential advancement in Internet technologies, transmission of multimedia data is very common now. However, transmitting sensitive information over the Internet is always vulnerable to different kind of attacks. In order to address such issues, cryptographers are proposing encryption techniques. In encryption, data is manipulated in such a way that intruders cannot access the original information. This paper presents a secure image encryption scheme via Intertwining and Nonlinear Chaotic Maps (NCA). Both main steps i.e., confusion and diffusion are implemented using chaotic maps. Numerous security parameters are applied to the proposed improved technique and strength of the scheme is evaluated. All experimental results proved the robustness and higher security of the proposed chaos-based scheme

A novel chaos-based partial image encryption scheme using Lifting Wavelet Transform

Depending on applications and specific security requirements, digital images can either be fully or partially encrypted. Partial encryption is one of the methods that reduces computational and processing cost. To achieve partial encryption, chaotic maps in combination with different transforms, like the Wavelet Transform (WT), Discrete Cosine Transform (DCT) and Lifting Wavelet Transform (LWT) are often used. Due to higher efficiency and fast processing, LWT is preferred over wavelet transform. In this paper, a novel partial image encryption scheme based on LWT, Secure Hash Algorithm (SHA-512), Logistic-sine chaotic map, TD-ERCS chaotic map and Substitution Box (S-Box) is presented. In comparison to other schemes, the proposed encryption technique is computationally efficient, secure and sensitive to initial key conditions

A Secure and Lightweight Chaos Based Image Encryption Scheme

In this paper, we present an image encryption scheme based on the multi-stage chaos-based image encryption algorithm. The method works on the principle of confusion and diffusion. The proposed scheme containing both confusion and diffusion modules are highly secure and effective as compared to the existing schemes. Initially, an image (red, green, and blue components) is partitioned into blocks with an equal number of pixels. Each block is then processed with Tinkerbell Chaotic Map (TBCM) to get shuffled pixels and shuffled blocks. Composite Fractal Function (CFF) change the value of pixels of each color component (layer) to obtain a random sequence. Through the obtained random sequence, three layers of plain image are encrypted. Finally, with each encrypted layer, Brownian Particles (BP) are XORed that added an extra layer of security. The experimental tests including a number of statistical tests validated the security of the presented scheme. The results reported in the paper show that the proposed scheme has higher security and is lightweight as compared to state-of-the-art methods proposed in the literature

A new color image encryption technique using DNA computing and Chaos-based substitution box

In many cases, images contain sensitive information and patterns that require secure processing to avoid risk. It can be accessed by unauthorized users who can illegally exploit them to threaten the safety of people’s life and property. Protecting the privacies of the images has quickly become one of the biggest obstacles that prevent further exploration of image data. In this paper, we propose a novel privacy-preserving scheme to protect sensitive information within images. The proposed approach combines deoxyribonucleic acid (DNA) sequencing code, Arnold transformation (AT), and a chaotic dynamical system to construct an initial S-box. Various tests have been conducted to validate the randomness of this newly constructed S-box. These tests include National Institute of Standards and Technology (NIST) analysis, histogram analysis (HA), nonlinearity analysis (NL), strict avalanche criterion (SAC), bit independence criterion (BIC), bit independence criterion strict avalanche criterion (BIC-SAC), bit independence criterion nonlinearity (BIC-NL), equiprobable input/output XOR distribution, and linear approximation probability (LP). The proposed scheme possesses higher security wit NL = 103.75, SAC ≈ 0.5 and LP = 0.1560. Other tests such as BIC-SAC and BIC-NL calculated values are 0.4960 and 112.35, respectively. The results show that the proposed scheme has a strong ability to resist many attacks. Furthermore, the achieved results are compared to existing state-of-the-art methods. The comparison results further demonstrate the effectiveness of the proposed algorithm

Measuring the health-related Sustainable Development Goals in 188 countries : a baseline analysis from the Global Burden of Disease Study 2015

Background In September, 2015, the UN General Assembly established the Sustainable Development Goals (SDGs). The SDGs specify 17 universal goals, 169 targets, and 230 indicators leading up to 2030. We provide an analysis of 33 health-related SDG indicators based on the Global Burden of Diseases, Injuries, and Risk Factors Study 2015 (GBD 2015). Methods We applied statistical methods to systematically compiled data to estimate the performance of 33 health-related SDG indicators for 188 countries from 1990 to 2015. We rescaled each indicator on a scale from 0 (worst observed value between 1990 and 2015) to 100 (best observed). Indices representing all 33 health-related SDG indicators (health-related SDG index), health-related SDG indicators included in the Millennium Development Goals (MDG index), and health-related indicators not included in the MDGs (non-MDG index) were computed as the geometric mean of the rescaled indicators by SDG target. We used spline regressions to examine the relations between the Socio-demographic Index (SDI, a summary measure based on average income per person, educational attainment, and total fertility rate) and each of the health-related SDG indicators and indices. Findings In 2015, the median health-related SDG index was 59.3 (95% uncertainty interval 56.8-61.8) and varied widely by country, ranging from 85.5 (84.2-86.5) in Iceland to 20.4 (15.4-24.9) in Central African Republic. SDI was a good predictor of the health-related SDG index (r(2) = 0.88) and the MDG index (r(2) = 0.2), whereas the non-MDG index had a weaker relation with SDI (r(2) = 0.79). Between 2000 and 2015, the health-related SDG index improved by a median of 7.9 (IQR 5.0-10.4), and gains on the MDG index (a median change of 10.0 [6.7-13.1]) exceeded that of the non-MDG index (a median change of 5.5 [2.1-8.9]). Since 2000, pronounced progress occurred for indicators such as met need with modern contraception, under-5 mortality, and neonatal mortality, as well as the indicator for universal health coverage tracer interventions. Moderate improvements were found for indicators such as HIV and tuberculosis incidence, minimal changes for hepatitis B incidence took place, and childhood overweight considerably worsened. Interpretation GBD provides an independent, comparable avenue for monitoring progress towards the health-related SDGs. Our analysis not only highlights the importance of income, education, and fertility as drivers of health improvement but also emphasises that investments in these areas alone will not be sufficient. Although considerable progress on the health-related MDG indicators has been made, these gains will need to be sustained and, in many cases, accelerated to achieve the ambitious SDG targets. The minimal improvement in or worsening of health-related indicators beyond the MDGs highlight the need for additional resources to effectively address the expanded scope of the health-related SDGs.Peer reviewe

A novel image encryption based on Lorenz equation, Gingerbreadman chaotic map and S8 permutation

Internet is used as the main source of communication throughout the world. However due to public nature of internet data are always exposed to different types of attacks. To address this issue many researchers are working in this area and proposing data encryption techniques. Recently a new substitution box has been proposed for image encryption using many interesting properties like gingerbread-man chaotic map and S8 permutation. But there are certain weaknesses in aforesaid technique which does not provide sufficient security. To resolve the security issue an enhanced version of existing technique is proposed in this paper. Lorenz chaotic map based confusion and diffusion processes in existing technique are employed. Lorenz map is used to remove strong correlation among the plain text image pixels. In diffusion stage a random matrix is generated through lorenz chaotic map and XORed with shuffled image. It the end, existing gingerbread-man chaotic map based S-box is applied to extract the final cipher text image. The proposed enhanced scheme is analysed by statistical analysis, key space analysis, information entropy analysis and differential analysis. In order to ensure the robustness and higher security of proposed scheme, results via Number of Pixel Rate Change (NPRC) and Unified Average Change Intensity (UACI) tests are also validated

Undiagnosed Hepatitis B and C Virus Infection at a Teaching Hospital in Rawalpindi

Uncontrolled prevalence of hepatitis B and C virus infections is known to be a global health problem. Many cases are undiagnosed yet. So, this study focusses on the undiagnosed existence of viral infection of hepatitis B (HBV) and Hepatitis C infection (HCV) in hospitalized patients and outdoor attendees to draw a more accurate picture of the prevalence of HBV and HCV. A cross-sectional observational study at Benazir Bhutto hospital Rawalpindi Pakistan continued for seven months and included hospitalized patients and outdoor attendees. Venous blood collected from 2003 subjects and processed to investigate infection by ELISA. We observed the overall prevalence of HBV was 2.6% and HCV was 10.98%. Further 4.2% was the highest infection rate of HBV in patients of Surgery and Medicine and the lowest in Orthopedics, Urology, Gynecology and Obstetrics, Pediatrics, Intensive Care Unit, Ear Throat and Nose, Eye>0.001%. We found the highest rate of HCV infection was in Medicine 22.90% and the lowest was in Pediatrics>0.001%. For the age, the HBV infection was found to be 4.55% the most prevalent in the age range of 61-75 and the lowest>0.001% in 76-90 years. Age group 46-60 years showed the highest 19.07% and 16-30 years the lowest 6.44% prevalence of HCV infection. Observed HBV-positive participants were 60.78% males and 39.22% females. While among the participants, males contributed 50.90% H C Virus infections and females contributed 49.10% infections. Although undiagnosed but prevalence of hepatitis B and C virus infection is very high. Therefore, some effective strategies should be implemented