Decentralized Privacy Protection Framework Based on Attribute-Based Signcryption

2020 ◽  
Vol 17 (8) ◽  
pp. 3717-3723
Author(s):  
V. Sellam ◽  
Neha Pranadika Bommana ◽  
V. C. Sruthi
Keyword(s):  
Data Security ◽  
Digital Data ◽  
Key Generation ◽  
Cipher Text ◽  
Digital World ◽  
Internet Users ◽  
Business Market ◽  
Monotone Boolean Function ◽  
Key Policy ◽  
Computational Resources

In the last decade, the digital world has widely changed how we handle our daily actions on the internet. India has the second-largest internet users in the globe with about 370 million users. The Indian business market has understood the significance of the threats in managing digital data. This has led to the increased allocation of budgets for the implementation of security to protect data from breaches. The data security has been constantly improvised and the existing systems include various schemes focusing on central authority which must be fully trusted and is responsible for both attribute management and key generation. This system introduces multi-authority using cipher-text instead of key-policy ABSC scheme without destroying the attribute security. Since, the mechanism to verify does not require plaintext. It accepts any Monotone Boolean Function. Finally,a partial decryption algorithm is used to outsource operations to the cloud to save computational resources.

Comparative Study of Cryptography for Cloud Computing for Data Security

2019 ◽  
Vol 13 ◽  
Author(s):  
Priya Mathur ◽  
Amit Kumar Gupta ◽  
Prateek Vashishtha
Keyword(s):  
Cloud Computing ◽  
Data Security ◽  
Elliptic Curve Cryptography ◽  
Plain Text ◽  
Hybrid Encryption ◽  
Cipher Text ◽  
Business Applications ◽  
Computing Grid ◽  
Cloud Servers ◽  
Client Side

Cloud computing is an emerging technique by which anyone can access the applications as utilities over the internet. Cloud computing is the technology which comprises of all the characteristics of the technologies like distributed computing, grid computing, and ubiquitous computing. Cloud computing allows everyone to create, to configure as well as to customize the business applications online. Cryptography is the technique which is use to convert the plain text into cipher text using various encryption techniques. The art and science used to introduce the secrecy in the information security in order to secure the messages is defined as cryptography. In this paper we are going to review few latest Cryptographic algorithms which are used to enhance the security of the data on the cloud servers. We are comparing Short Range Natural Number Modified RSA (SRNN), Elliptic Curve Cryptography Algorithm, Client Side Encryption Technique and Hybrid Encryption Technique to secure the data in cloud.

Deoxyribonucleic Acid as a Tool for Digital Information Storage: An Overview

2019 ◽  
Vol 15 (01) ◽  
pp. 1-8
Author(s):  
Ashish C Patel ◽  
C G Joshi
Keyword(s):  
Data Storage ◽  
Dna Sequences ◽  
Consensus Sequence ◽  
Random Access ◽  
Information Storage ◽  
Digital Data ◽  
Digital Information ◽  
Multiple Sequence ◽  
Digital World ◽  
Digital File

Current data storage technologies cannot keep pace longer with exponentially growing amounts of data through the extensive use of social networking photos and media, etc. The "digital world” with 4.4 zettabytes in 2013 has predicted it to reach 44 zettabytes by 2020. From the past 30 years, scientists and researchers have been trying to develop a robust way of storing data on a medium which is dense and ever-lasting and found DNA as the most promising storage medium. Unlike existing storage devices, DNA requires no maintenance, except the need to store at a cool and dark place. DNA has a small size with high density; just 1 gram of dry DNA can store about 455 exabytes of data. DNA stores the informations using four bases, viz., A, T, G, and C, while CDs, hard disks and other devices stores the information using 0’s and 1’s on the spiral tracks. In the DNA based storage, after binarization of digital file into the binary codes, encoding and decoding are important steps in DNA based storage system. Once the digital file is encoded, the next step is to synthesize arbitrary single-strand DNA sequences and that can be stored in the deep freeze until use.When there is a need for information to be recovered, it can be done using DNA sequencing. New generation sequencing (NGS) capable of producing sequences with very high throughput at a much lower cost about less than 0.1 USD for one MB of data than the first sequencing technologies. Post-sequencing processing includes alignment of all reads using multiple sequence alignment (MSA) algorithms to obtain different consensus sequences. The consensus sequence is decoded as the reversal of the encoding process. Most prior DNA data storage efforts sequenced and decoded the entire amount of stored digital information with no random access, but nowadays it has become possible to extract selective files (e.g., retrieving only required image from a collection) from a DNA pool using PCR-based random access. Various scientists successfully stored up to 110 zettabytes data in one gram of DNA. In the future, with an efficient encoding, error corrections, cheaper DNA synthesis,and sequencing, DNA based storage will become a practical solution for storage of exponentially growing digital data.

Administrative Justice in a Digital World

2021 ◽  
Author(s):  
Paul Henman
Keyword(s):  
Computer Code ◽  
Digital Data ◽  
Administrative Discretion ◽  
Technical Standards ◽  
Organizational Governance ◽  
Digital World ◽  
Use Context ◽  
Software Code ◽  
Digital Algorithms ◽  
Administrative Justice

Using digital tools in administrative decision-making—from automation of relatively simple decisions to artificial intelligence judgements—both enhances and challenges the operation of administrative justice. By beginning with an understanding of digital algorithms as comprising computer code, digital data, and use context, this chapter highlights challenges for administrative justice in administrative discretion, data challenges, automating decisions and errors, information about administrative justice, appealability and accountability responsibility, and explainability. The chapter then examines legal, policy, and technological responses to strengthen administrative justice, including expanding digital rights, bolstering review rights via providing explanations and software code, and instituting organizational governance innovations and technical standards.

scholarly journals Is Big Data Security Essential for Students to Understand?

2020 ◽  
Vol 11 (2) ◽  
pp. 161-170
Author(s):  
Rochman Hadi Mustofa
Keyword(s):  
Big Data ◽  
Undergraduate Students ◽  
Data Security ◽  
Personal Data ◽  
Digital Data ◽  
Security And Privacy ◽  
Group Discussions ◽  
Technology Applications ◽  
Digital Payments ◽  
Financial Technology

AbstractBig Data has become a significant concern of the world, along with the era of digital transformation. However, there are still many young people, especially in developing countries, who are not yet aware of the security of their big data, especially personal data. Misuse of information from big data often results in violations of privacy, security, and cybercrime. This study aims to determine how aware of the younger generation of security and privacy of their big data. Data were collected qualitatively by interviews and focus group discussions (FGD) from. Respondents were undergraduate students who used social media and financial technology applications such as online shopping, digital payments, digital wallet and hotel/transportation booking applications. The results showed that students were not aware enough and understood the security or privacy of their digital data, and some respondents even gave personal data to potentially scam sites. Most students are not careful in providing big data information because they are not aware of the risks behind it, socialization is needed in the future as a step to prevent potential data theft.

scholarly journals Proxy Re-Encryption in cloud using ALBC (adaptive lattice based cryptography)

2019 ◽  
Vol 16 (3) ◽  
pp. 1455
Author(s):  
Chandrakala B M ◽  
S C Lingareddy
Keyword(s):  
Comparative Analysis ◽  
Data Sharing ◽  
Data Security ◽  
Key Generation ◽  
Encryption Scheme ◽  
Two Phase ◽  
Data Store ◽  
Learning With Errors ◽  
Lattice Based Cryptography

<p>In recent days, data sharing has provided the flexibility to share the data, store the data, and perform operation on data virtually as well as cost effectively. Data sharing in cloud is one of the feature, which is being popular and widely accepted. However, the concern here is to ensure the data security and this has led the researcher to research in this area. To provide the security several Proxy re-encryption scheme has been introduced, however all these method lacks of efficiency. Hence In this paper, we propose a scheme known as ALBC (Adaptive Lattice Based Cryptography), this scheme follows the two phase i.e. encryption and Re-encryption. Encryption phase has few algorithms such as Key_Gen, Enc, Dec. Similarly ALBC Re-Enc has five algorithm i.e. Key_Gen, Key_ReGen,  Enc, Re-Enc, Dec. our algorithm not only provides the security but also solves the problem of RL(Ring-learning) with errors problems. In order to evaluate, our algorithm is compared with the existing model in terms of encryption time, decryption time, re-encryption time, key generation  and key regeneration by varying the various key size. When we observe the comparative analysis, it is observed that our algorithm outperforms the existing algorithm.</p>

scholarly journals LLSFIoT: Lightweight Logical Security Framework for Internet of Things

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Isha Batra ◽  
Hatem S. A. Hamatta ◽  
Arun Malik ◽  
Mohammed Baz ◽  
Fahad R. Albogamy ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Data Security ◽  
Algorithm Design ◽  
Research Work ◽  
Generation Mechanism ◽  
Key Generation ◽  
Security Framework ◽  
Heavy Weight ◽  
Work First ◽  
Security Enhancements

Current research in Internet of Things (IoT) is focused on the security enhancements to every communicated message in the network. Keeping this thought in mind, researcher in this work emphasizes on a security oriented cryptographic solution. Commonly used security cryptographic solutions are heavy in nature considering their key size, operations, and mechanism they follow to secure a message. This work first determines the benefit of applying lightweight security cryptographic solutions in IoT. The existing lightweight counterparts are still vulnerable to attacks and also consume calculative more power. Therefore, this research work proposes a new hybrid lightweight logical security framework for offering security in IoT (LLSFIoT). The operations, key size, and mechanism used in the proposed framework make its lightweight. The proposed framework is divided into three phases: registration, authentication, and light data security (LDS). LDS offers security by using unique keys at each round bearing small size. Key generation mechanism used is comparatively fast making the compromise of keys as a difficult task. These steps followed in the proposed algorithm design make it lightweight and a better solution for IoT-based networks as compared to the existing solutions that are relatively heavy weight in nature.

Implementasi Algoritma Merkle-Hellman Knapsack dalam Penyandian Record Database

2020 ◽  
pp. 162-165
Author(s):  
Reni Rahmadani ◽  
Harvei Desmon Hutahaean ◽  
Ressy Dwitias Sari
Keyword(s):  
Data Security ◽  
Public Key Cryptography ◽  
Data Encryption ◽  
Key Generation ◽  
Software Developers ◽  
Data Owner ◽  
Encryption And Decryption ◽  
User Data ◽  
Np Complete ◽  
Knapsack Algorithm

A lot of data is misused without the data owner being aware of it. Software developers must ensure the security user data on their system. Due to the size of the market that houses data, the security of record databases must be of great concern. Cryptographic systems or data encryption can be used for data security. The Merkle-Hellman Knapsack algorithm is included in public-key cryptography because it uses different keys for the encryption and decryption processes. This algorithm belongs to the NP-complete algorithm which cannot be solved in polynomial order time. This algorithm has stages of key generation, encryption, and decryption. The results of this study secure database records from theft by storing records in the form of ciphertext/password. Ciphertext generated by algorithmic encryption has a larger size than plaintext.

Privacy Preserving Data Mining as Proof of Useful Work

2021 ◽  
Vol 32 (1) ◽  
pp. 69-85
Author(s):  
Hjalmar K. Turesson ◽  
Henry Kim ◽  
Marek Laskowski ◽  
Alexandra Roatis
Keyword(s):  
Machine Learning ◽  
Data Mining ◽  
Challenging Problem ◽  
Privacy Preserving Data Mining ◽  
Physical Resource ◽  
Digital World ◽  
General Utility ◽  
Tremendous Amount ◽  
Specialized Hardware ◽  
Computational Resources

Blockchains rely on a consensus among participants to achieve decentralization and security. However, reaching consensus in an online, digital world where identities are not tied to physical users is a challenging problem. Proof-of-work provides a solution by linking representation to a valuable, physical resource. While this has worked well, it uses a tremendous amount of specialized hardware and energy, with no utility beyond blockchain security. Here, the authors propose an alternative consensus scheme that directs the computational resources to the optimization of machine learning (ML) models – a task with more general utility. This is achieved by a hybrid consensus scheme relying on three parties: data providers, miners, and a committee. The data provider makes data available and provides payment in return for the best model, miners compete about the payment and access to the committee by producing ML optimized models, and the committee controls the ML competition.

Traces and Shadows

2021 ◽  
pp. 111-120
Author(s):  
Rob Kitchin
Keyword(s):  
World Wide ◽  
Digital Data ◽  
Continuous Data ◽  
The Internet ◽  
Store Loyalty ◽  
Smart Systems ◽  
Digital World ◽  
Use Of Data ◽  
The World ◽  
Data Production

This chapter charts the transition from an analogue to a digital world, its effect on data footprints and shadows, and the growth of data brokers and government use of data. The World Wide Web (WWW) started to change things by making information accessible across the Internet through an easy-to-use, intuitive graphical interface. Using the Internet, people started leaving digital traces. In their everyday lives, their digital shadows were also growing through the use of debit, credit, and store loyalty cards, and captured in government databases which were increasingly digital. Running tandem to the creation of digital lifestyles was the datafication of everyday life. This was evident in a paper which examined the various ways in which digital data was being generated and tracked using indexical codes about people, but also objects, transactions, interactions, and territories, and how these data were being used to govern people and manage organizations. Today, people live in a world of continuous data production, since smart systems generate data in real time.

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