scholarly journals Entropy-based image encryption using Orthogonal Variable Spreading Factor (OVSF)

2020 ◽  
Vol 40 (3) ◽  
pp. 70-80
Author(s):  
Dora M. Ballesteros ◽  
Diego Renza ◽  
Jimmy Peña
Keyword(s):  
Image Encryption ◽  
Data Privacy ◽  
Test Results ◽  
Privacy And Security ◽  
Current State ◽  
Key Space ◽  
Numerous Test ◽  
Orthogonal Code ◽  
Very High ◽  
Evident Relationship

The purpose of image encryption is to provide data privacy and security. The former ensures that only authorized personnel can access the original content, while the latter implies that there is no evident relationship between the encrypted and the original content, and that the key space is equally likely and large enough. In the current state of the field, there are several proposals of image encryption techniques with very high privacy (in terms of entropy) but weak in terms of security (i.e., small key space). Recently, a new encoding-based method that provides a long key space (namely 8,57 × 10506) with a middle value of entropy (87%) was proposed. Our proposal preserves the strength of the image encryption methods based on encoding, but with a higher value placed on security than the preliminary works. Every pixel of an image is mapped into an orthogonal code based on 256 bits. The 8-OVSF codes are selected to encode the image, given that the entropy of the inter-symbol is near the possible maximum. Numerous test results verify that our ciphered data have a very high value of entropy (98,5%) with an equally likely and long key space (8,57 × 10506), thus providing an adequate balance between privacy and security.

日本における抑うつ症状に対する心理学的介入を目的とした スマートフォン用アプリケーション・プログラムのレビュー

2020 ◽  
Author(s):  
Hikari Takashina ◽  
Kengo Yokomitsu
Keyword(s):  
Depressive Symptoms ◽  
Daily Life ◽  
Behavioral Therapy ◽  
Mobile Apps ◽  
Evaluation Model ◽  
Ease Of Use ◽  
Background Information ◽  
Evidence Based ◽  
Privacy And Security ◽  
Current State

There are thousands of mobile apps delivering information and offering support and intervention in situations of daily life. The aim of this study was to identify the current state of apps for depressive symptoms or prevention of depression within the official Android and iOS app stores in Japan. The 47 apps for depression available for download from the app stores were evaluated by the App Evaluation Model regarding background information, risk/ privacy and security, evidence, ease of use, and interoperability. Also, we evaluated their primary purpose, technology components, and cognitive-behavioral therapy components. The results suggest that in general few apps have been developed that are evidence-based, secure, and provide the services that users expect. In the future, it will be necessary to develop a framework for developing and disseminating more effective apps. This study is the first review of apps for depression available in Japan and seeks to help create a framework for such apps.

Image encryption based on Fractional wavelet transform, Arnold transform with the double random phases in HSV color domain

2020 ◽  
Vol 13 ◽  
Author(s):  
Aarushi Shrivastava ◽  
Janki Ballabh Sharma ◽  
Sunil Dutt Purohit
Keyword(s):  
Wavelet Transform ◽  
Image Encryption ◽  
Fractional Fourier Transform ◽  
Color Image ◽  
Random Phase ◽  
Arnold Transform ◽  
Time Frequency ◽  
Key Space ◽  
Secret Keys ◽  
Fractional Wavelet Transform

Objective: In the recent multimedia technology images play an integral role in communication. Here in this paper, we propose a new color image encryption method using FWT (Fractional Wavelet transform), double random phases and Arnold transform in HSV color domain. Methods: Firstly the image is changed into the HSV domain and the encoding is done using the FWT which is the combination of the fractional Fourier transform with wavelet transform and the two random phase masks are used in the double random phase encoding. In this one inverse DWT is taken at the end in order to obtain the encrypted image. To scramble the matrices the Arnold transform is used with different iterative values. The fractional order of FRFT, the wavelet family and the iterative numbers of Arnold transform are used as various secret keys in order to enhance the level of security of the proposed method. Results: The performance of the scheme is analyzed through its PSNR and SSIM values, key space, entropy, statistical analysis which demonstrates its effectiveness and feasibility of the proposed technique. Stimulation result verifies its robustness in comparison to nearby schemes. Conclusion: This method develops the better security, enlarged and sensitive key space with improved PSNR and SSIM. FWT reflecting time frequency information adds on to its flexibility with additional variables and making it more suitable for secure transmission.

Data-driven sector coupling in 5G-based smart networks

2021 ◽  
Vol 22 (1) ◽  
pp. 53-68
Author(s):  
Guenter Knieps
Keyword(s):  
Data Privacy ◽  
Service Providers ◽  
Policy Implications ◽  
Network Industries ◽  
5G Networks ◽  
Privacy And Security ◽  
Open Set ◽  
Application Service ◽  
Downstream Application

5G attains the role of a GPT for an open set of downstream IoT applications in various network industries and within the app economy more generally. Traditionally, sector coupling has been a rather narrow concept focusing on the horizontal synergies of urban system integration in terms of transport, energy, and waste systems, or else the creation of new intermodal markets. The transition toward 5G has fundamentally changed the framing of sector coupling in network industries by underscoring the relevance of differentiating between horizontal and vertical sector coupling. Due to the fixed mobile convergence and the large open set of complementary use cases, 5G has taken on the characteristics of a generalized purpose technology (GPT) in its role as the enabler of a large variety of smart network applications. Due to this vertical relationship, characterized by pervasiveness and innovational complementarities between upstream 5G networks and downstream application sectors, vertical sector coupling between the provider of an upstream GPT and different downstream application industries has acquired particular relevance. In contrast to horizontal sector coupling among different application sectors, the driver of vertical sector coupling is that each of the heterogeneous application sectors requires a critical input from the upstream 5G network provider and combines this with its own downstream technology. Of particular relevance for vertical sector coupling are the innovational complementarities between upstream GPT and downstream application sectors. The focus on vertical sector coupling also has important policy implications. Although the evolution of 5G networks strongly depends on the entrepreneurial, market-driven activities of broadband network operators and application service providers, the future of 5G as a GPT is heavily contingent on the role of frequency management authorities and European regulatory policy with regard to data privacy and security regulations.

scholarly journals Towards Better Performance for Protected Iris Biometric System with Confidence Matrix

Symmetry ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 910
Author(s):  
Tong-Yuen Chai ◽  
Bok-Min Goi ◽  
Wun-She Yap
Keyword(s):  
Data Privacy ◽  
Recognition Performance ◽  
Generalized Solution ◽  
Performance Degradation ◽  
Public Confidence ◽  
Data Types ◽  
Privacy And Security ◽  
Biometric Data ◽  
Biometric Template ◽  
Template Protection

Biometric template protection (BTP) schemes are implemented to increase public confidence in biometric systems regarding data privacy and security in recent years. The introduction of BTP has naturally incurred loss of information for security, which leads to performance degradation at the matching stage. Although efforts are shown in the extended work of some iris BTP schemes to improve their recognition performance, there is still a lack of a generalized solution for this problem. In this paper, a trainable approach that requires no further modification on the protected iris biometric templates has been proposed. This approach consists of two strategies to generate a confidence matrix to reduce the performance degradation of iris BTP schemes. The proposed binary confidence matrix showed better performance in noisy iris data, whereas the probability confidence matrix showed better performance in iris databases with better image quality. In addition, our proposed scheme has also taken into consideration the potential effects in recognition performance, which are caused by the database-associated noise masks and the variation in biometric data types produced by different iris BTP schemes. The proposed scheme has reported remarkable improvement in our experiments with various publicly available iris research databases being tested.

Inconsistencies in Overdose Suicide Death Investigation Practice and Potential Remedies Using Technology: A Centers for Disease Control and Prevention Consultation Meeting Summary

2021 ◽  
pp. 192536212110224
Author(s):  
Melissa C. Mercado ◽  
Deborah M. Stone ◽  
Caroline W. Kokubun ◽  
Aimée-Rika T. Trudeau ◽  
Elizabeth Gaylor ◽  
...  
Keyword(s):  
System Integration ◽  
Data Privacy ◽  
Burden Of Proof ◽  
The United States ◽  
Privacy And Security ◽  
Death Scene ◽  
Undetermined Intent ◽  
Control And Prevention ◽  
Scene Description ◽  
Death Investigation

Introduction: It is widely accepted that suicides—which account for more than 47 500 deaths per year in the United States—are undercounted by 10% to 30%, partially due to incomplete death scene investigations (DSI) and varying burden-of-proof standards across jurisdictions. This may result in the misclassification of overdose-related suicides as accidents or undetermined intent. Methods: Virtual and in-person meetings were held with suicidologists and DSI experts from five states (Spring-Summer 2017) to explore how features of a hypothetical electronic DSI tool may help address these challenges. Results: Participants envisioned a mobile DSI application for cell phones, tablets, or laptop computers. Features for systematic information collection, scene description, and guiding key informant interviews were perceived as useful for less-experienced investigators. Discussion: Wide adoption may be challenging due to differences in DSI standards, practices, costs, data privacy and security, and system integration needs. However, technological tools that support consistent and complete DSIs could strengthen the information needed to accurately identify overdose suicides.

scholarly journals Secure Framework Enhancing AES Algorithm in Cloud Computing

2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Ijaz Ahmad Awan ◽  
Muhammad Shiraz ◽  
Muhammad Usman Hashmi ◽  
Qaisar Shaheen ◽  
Rizwan Akhtar ◽  
...  
Keyword(s):  
Data Privacy ◽  
Security Threats ◽  
Privacy And Security ◽  
Plain Text ◽  
Aes Algorithm ◽  
Confidential Data ◽  
Network Usage ◽  
Data Centres ◽  
Demand Service ◽  
Remote Data

The tremendous growth of computational clouds has attracted and enabled intensive computation on resource-constrained client devices. Predominantly, smart mobiles are enabled to deploy data and computational intensive applications by leveraging on the demand service model of remote data centres. However, outsourcing personal and confidential data to the remote data servers is challenging for the reason of new issues involved in data privacy and security. Therefore, the traditional advanced encryption standard (AES) algorithm needs to be enhanced in order to cope with the emerging security threats in the cloud environment. This research presents a framework with key features including enhanced security and owner’s data privacy. It modifies the 128 AES algorithm to increase the speed of the encryption process, 1000 blocks per second, by the double round key feature. However, traditionally, there is a single round key with 800 blocks per second. The proposed algorithm involves less power consumption, better load balancing, and enhanced trust and resource management on the network. The proposed framework includes deployment of AES with 16, 32, 64, and 128 plain text bytes. Simulation results are visualized in a way that depicts suitability of the algorithm while achieving particular quality attributes. Results show that the proposed framework minimizes energy consumption by 14.43%, network usage by 11.53%, and delay by 15.67%. Hence, the proposed framework enhances security, minimizes resource utilization, and reduces delay while deploying services of computational clouds.

A 25 Gbps VCSEL driving ASIC: an attempt for ultra-high-speed front-end readout applications

2022 ◽  
Vol 17 (01) ◽  
pp. C01040
Author(s):  
C. Zhao ◽  
D. Guo ◽  
Q. Chen ◽  
N. Fang ◽  
Y. Gan ◽  
...  
Keyword(s):  
High Speed ◽  
Cmos Technology ◽  
Test Results ◽  
Eye Diagram ◽  
Optical Links ◽  
Optical Module ◽  
Active Feedback ◽  
High Bandwidth ◽  
Output Driver ◽  
Very High

Abstract This paper presents the design and the test results of a 25 Gbps VCSEL driving ASIC fabricated in a 55 nm CMOS technology as an attempt for the future very high-speed optical links. The VCSEL driving ASIC is composed of an input equalizer stage, a pre-driver stage and a novel output driver stage. To achieve high bandwidth, the pre-driver stage combines the inductor-shared peaking structure and the active-feedback technique. A novel output driver stage uses the pseudo differential CML driver structure and the adjustable FFE pre-emphasis technique to improve the bandwidth. This VCSEL driver has been integrated in a customized optical module with a VCSEL array. Both the electrical function and optical performance have been fully evaluated. The output optical eye diagram has passed the eye mask test at the data rate of 25 Gbps. The peak-to-peak jitter of 25 Gbps optical eye is 19.5 ps and the RMS jitter is 2.9 ps.

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