A Lightweight Hash-Based Blockchain Architecture for Industrial Iot
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The Advantages and Disadvantages of Bitcoin Payments in the New Economy Carina-Elena Stegăroiu, Lecturer Phd, „Constantin Br
Annals of the „Constantin Brâncuşi” University of Târgu Jiu, Economy Series, Issue 1/2018 THE ADVANTAGES AND DISADVANTAGES OF BITCOIN PAYMENTS IN THE NEW ECONOMY CARINA-ELENA STEGĂROIU, LECTURER PHD, „CONSTANTIN BRÂNCUŞI” UNIVERSITY, TÂRGU JIU, ROMANIA [email protected] Abstract In the Internet economy, with the help of cryptography, a branch of mathematics dealing with the security of information, as well as authentication and restriction of access to a computer system, a new digital coin as an alternative to national currencies appeared. In accomplishing this, using both mathematical methods (taking advantage of, for example, the difficulty of factorizing very large numbers), and quantum encryption methods. Throughout the world, information technology companies are focusing on information protection, inventing day-to-day methods with greater durability. In the horizon of Information Security, Quantum Cryptography has emerged, generating new possibilities in that field, hoping that data will be better protected and that the digital currency will resist over time and eventually evolve in the future, although Kurzweil, Bitcoin's pioneering technology is unlikely to be used in this respect. The idea of virtual alternatives to national currencies is not new, with advantages and disadvantages. The advantages of this coin are high payment freedom, transparency of information, high security, reduced risks for traders. Among the disadvantages we highlight the risk and volatility, the lack of notification and understanding, with incomplete functions, but which are developing, so Bitcoin is not perfect. Keywords: bitcoin, criptografie, methodology, economic growth, economic agent, branch production, virtual economy, monedă digitală Classification JEL: F60, F61. F62, F63 1. Introduction The idea of virtual alternatives to national currencies is not a new one, Iceland being a country that in April issued its own virtual modular Auroracoin, distributing it to the population. -
Realizing the Potential of Blockchain Technologies in Genomics
Downloaded from genome.cshlp.org on September 29, 2021 - Published by Cold Spring Harbor Laboratory Press Perspective Realizing the potential of blockchain technologies in genomics Halil Ibrahim Ozercan,1 Atalay Mert Ileri,2 Erman Ayday,1 and Can Alkan1 1Department of Computer Engineering, Bilkent University, Ankara 06800, Turkey; 2Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA Genomics data introduce a substantial computational burden as well as data privacy and ownership issues. Data sets generated by high-throughput sequencing platforms require immense amounts of computational resources to align to reference ge- nomes and to call and annotate genomic variants. This problem is even more pronounced if reanalysis is needed for new ver- sions of reference genomes, which may impose high loads to existing computational infrastructures. Additionally, after the compute-intensive analyses are completed, the results are either kept in centralized repositories with access control, or dis- tributed among stakeholders using standard file transfer protocols. This imposes two main problems: (1) Centralized servers become gatekeepers of the data, essentially acting as an unnecessary mediator between the actual data owners and data users; and (2) servers may create single points of failure both in terms of service availability and data privacy. Therefore, there is a need for secure and decentralized platforms for data distribution with user-level data governance. A new technology, block- chain, may help ameliorate some of these problems. In broad terms, the blockchain technology enables decentralized, im- mutable, incorruptible public ledgers. In this Perspective, we aim to introduce current developments toward using blockchain to address several problems in omics, and to provide an outlook of possible future implications of the blockchain technology to life sciences. -
Dani Brunstein Intel Israel November 2014 Agenda
Dani Brunstein Intel Israel November 2014 Agenda Mutual Introduction, Target and Disclaimer Quick intro on cryptocurrencies and Bitcoin Rate of global acceptance Understanding the Why Disruptive Market On purpose: The technology behind First overview Bitcoin in Israel and the Academy then technicalities Friendly directives • This is a non technical, mostly an informative presentation • Lots to cover – feel free to ask, but we will take discussions offline Quick Intro Dani Brunstein, MSc in Comp. Science, Technion Software Engineer at Microprocessor Design Automation in Intel Israel mailto: [email protected] Special thanks to • Kosta Zertsekel - organizer of the Haifa Meetup Group (actual hands-on experience with bitcoin code) • Shaul Kfir – Bits of Gold • Dr. Orna Agmon Ben-Yehuda - Haifux organizer • Prof. Eli Ben-Sasson – Technion CryptoCurrency research How many of you “know anything on Bitcoins” ? How many of you own Bitcoins ? Target and Disclaimer Target 1. Educate you 2. Getting you excited and involved Disclaimer I am NOT advising you ANYTHING! I am NOT representing any company or group This lecture is given without warranty. The author makes no representation or warranty, either express or implied, with respect to the content, its quality, accuracy or fitness. Therefore the author shell have no liability with respect to any loss, or damage caused directly or indirectly by this lecture. What are Crypto Currencies ? Bitcoin is the first practical solution for peer-to-peer ownership transfer with no trusted third party involved -
Bypassing Non-Outsourceable Proof-Of-Work Schemes Using Collateralized Smart Contracts
Bypassing Non-Outsourceable Proof-of-Work Schemes Using Collateralized Smart Contracts Alexander Chepurnoy1;2, Amitabh Saxena1 1 Ergo Platform [email protected], [email protected] 2 IOHK Research [email protected] Abstract. Centralized pools and renting of mining power are considered as sources of possible censorship threats and even 51% attacks for de- centralized cryptocurrencies. Non-outsourceable Proof-of-Work schemes have been proposed to tackle these issues. However, tenets in the folk- lore say that such schemes could potentially be bypassed by using es- crow mechanisms. In this work, we propose a concrete example of such a mechanism which is using collateralized smart contracts. Our approach allows miners to bypass non-outsourceable Proof-of-Work schemes if the underlying blockchain platform supports smart contracts in a sufficiently advanced language. In particular, the language should allow access to the PoW solution. At a high level, our approach requires the miner to lock collateral covering the reward amount and protected by a smart contract that acts as an escrow. The smart contract has logic that allows the pool to collect the collateral as soon as the miner collects any block reward. We propose two variants of the approach depending on when the collat- eral is bound to the block solution. Using this, we show how to bypass previously proposed non-outsourceable Proof-of-Work schemes (with the notable exception for strong non-outsourceable schemes) and show how to build mining pools for such schemes. 1 Introduction Security of Bitcoin and many other cryptocurrencies relies on so called Proof-of- Work (PoW) schemes (also known as scratch-off puzzles), which are mechanisms to reach fast consensus and guarantee immutability of the ledger. -
Legal Technology Transformation a Practical Assessment
Legal Technology Transformation A Practical Assessment Edited by Andrea Caligiuri editoriale scientifica 2020 LEGAL TECHNOLOGY TRANSFORMATION A PRACTICAL ASSESSMENT Edited by ANDREA CALIGIURI EDITORIALE SCIENTIFICA 2020 PROPRIETÀ LETTERARIA RISERVATA © Copyright 2020 Editoriale Scientifica s.r.l. Via San Biagio dei Librai, 39 – 80138 Napoli www.editorialescientifica.com – [email protected] ISBN 978-88-9391-985-2 SCIENTIFIC COMMITTEE GUIDO LUIGI CANAVESI Department of Law Università di Macerata GIUSEPPE CATALDI Department of Social Sciences and Humanities Università di Napoli “L’Orientale” LIU HUAWEN Institute of International Law Chinese Academy of Social Sciences MONICA STRONATI Department of Law Università di Macerata CHRISTOPH VAN DER ELST Tilburg Law School Tilburg University TABLE OF CONTENTS Preface ……………………………………………………………………………………...… 1 PART I FREE MOVEMENT OF PERSONAL AND NON -PERSONAL DATA Introduction …………………………………………………………………………………… 5 STEFANO VILLAMENA 1. New Technologies, Big Data and Human Rights: An Overview …………………………. 11 ARIANNA MACERATINI 2. Protection of Personal Data and Human Rights between the ECHR and the EU Legal Order ………………………………………………... 21 ALFREDO TERRASI 3. Promoting a Common Understanding of the GDPR: European Data Protection Board and National Data Protection Authorities …………………………. 33 MARCO MACCHIA 4. Protection and Trade of Non-personal Data ……………………………………………… 40 CRISTINA RENGHINI 5. Protection of Personal and Non-personal Data: A Chinese Perspective ……………………………………………………....…………….… 48 YUTING YAN 6. Digital Humanism between Ethics, Law,and New Technologies …………………….…. 65 MARIA CONCETTA DE VIVO 7. Labor Relations, Intelligent Machine, Digital Plants. Legal Problem related to Data and Social Protection ………………………………….…… 80 MICHELE FAIOLI PART II USE OF UNMANNED AERIAL , MARITIME AND GROUND SYSTEMS IN CIVIL AND MILITARY FIELDS Introduction …………………………………………………………………………...…...… 89 STEFANO POLLASTRELLI 1. Air Traffic Control by Satellite: Some Legal Aspects ………………...……………….… 91 SILVIO MAGNOSI 2. -
Implementation and Performance Analysis of PBKDF2, Bcrypt, Scrypt Algorithms
Implementation and Performance Analysis of PBKDF2, Bcrypt, Scrypt Algorithms Levent Ertaul, Manpreet Kaur, Venkata Arun Kumar R Gudise CSU East Bay, Hayward, CA, USA. [email protected], [email protected], [email protected] Abstract- With the increase in mobile wireless or data lookup. Whereas, Cryptographic hash functions are technologies, security breaches are also increasing. It has used for building blocks for HMACs which provides become critical to safeguard our sensitive information message authentication. They ensure integrity of the data from the wrongdoers. So, having strong password is that is transmitted. Collision free hash function is the one pivotal. As almost every website needs you to login and which can never have same hashes of different output. If a create a password, it’s tempting to use same password and b are inputs such that H (a) =H (b), and a ≠ b. for numerous websites like banks, shopping and social User chosen passwords shall not be used directly as networking websites. This way we are making our cryptographic keys as they have low entropy and information easily accessible to hackers. Hence, we need randomness properties [2].Password is the secret value from a strong application for password security and which the cryptographic key can be generated. Figure 1 management. In this paper, we are going to compare the shows the statics of increasing cybercrime every year. Hence performance of 3 key derivation algorithms, namely, there is a need for strong key generation algorithms which PBKDF2 (Password Based Key Derivation Function), can generate the keys which are nearly impossible for the Bcrypt and Scrypt. -
Optimizing a Password Hashing Function with Hardware-Accelerated Symmetric Encryption
S S symmetry Article Optimizing a Password Hashing Function with Hardware-Accelerated Symmetric Encryption Rafael Álvarez 1,* , Alicia Andrade 2 and Antonio Zamora 3 1 Departamento de Ciencia de la Computación e Inteligencia Artificial (DCCIA), Universidad de Alicante, 03690 Alicante, Spain 2 Fac. Ingeniería, Ciencias Físicas y Matemática, Universidad Central, Quito 170129, Ecuador; [email protected] 3 Departamento de Ciencia de la Computación e Inteligencia Artificial (DCCIA), Universidad de Alicante, 03690 Alicante, Spain; [email protected] * Correspondence: [email protected] Received: 2 November 2018; Accepted: 22 November 2018; Published: 3 December 2018 Abstract: Password-based key derivation functions (PBKDFs) are commonly used to transform user passwords into keys for symmetric encryption, as well as for user authentication, password hashing, and preventing attacks based on custom hardware. We propose two optimized alternatives that enhance the performance of a previously published PBKDF. This design is based on (1) employing a symmetric cipher, the Advanced Encryption Standard (AES), as a pseudo-random generator and (2) taking advantage of the support for the hardware acceleration for AES that is available on many common platforms in order to mitigate common attacks to password-based user authentication systems. We also analyze their security characteristics, establishing that they are equivalent to the security of the core primitive (AES), and we compare their performance with well-known PBKDF algorithms, such as Scrypt and Argon2, with favorable results. Keywords: symmetric; encryption; password; hash; cryptography; PBKDF 1. Introduction Key derivation functions are employed to obtain one or more keys from a master secret. This is especially useful in the case of user passwords, which can be of arbitrary length and are unsuitable to be used directly as fixed-size cipher keys, so, there must be a process for converting passwords into secret keys. -
Security Policy: Informacast Java Crypto Library
FIPS 140-2 Non-Proprietary Security Policy: InformaCast Java Crypto Library FIPS 140-2 Non-Proprietary Security Policy InformaCast Java Crypto Library Software Version 3.0 Document Version 1.2 June 26, 2017 Prepared For: Prepared By: Singlewire Software SafeLogic Inc. 1002 Deming Way 530 Lytton Ave, Suite 200 Madison, WI 53717 Palo Alto, CA 94301 www.singlewire.com www.safelogic.com Document Version 1.2 © Singlewire Software Page 1 of 35 FIPS 140-2 Non-Proprietary Security Policy: InformaCast Java Crypto Library Abstract This document provides a non-proprietary FIPS 140-2 Security Policy for InformaCast Java Crypto Library. Document Version 1.2 © Singlewire Software Page 2 of 35 FIPS 140-2 Non-Proprietary Security Policy: InformaCast Java Crypto Library Table of Contents 1 Introduction .................................................................................................................................................. 5 1.1 About FIPS 140 ............................................................................................................................................. 5 1.2 About this Document.................................................................................................................................... 5 1.3 External Resources ....................................................................................................................................... 5 1.4 Notices ......................................................................................................................................................... -
A Survey on Volatility Fluctuations in the Decentralized Cryptocurrency Financial Assets
Journal of Risk and Financial Management Review A Survey on Volatility Fluctuations in the Decentralized Cryptocurrency Financial Assets Nikolaos A. Kyriazis Department of Economics, University of Thessaly, 38333 Volos, Greece; [email protected] Abstract: This study is an integrated survey of GARCH methodologies applications on 67 empirical papers that focus on cryptocurrencies. More sophisticated GARCH models are found to better explain the fluctuations in the volatility of cryptocurrencies. The main characteristics and the optimal approaches for modeling returns and volatility of cryptocurrencies are under scrutiny. Moreover, emphasis is placed on interconnectedness and hedging and/or diversifying abilities, measurement of profit-making and risk, efficiency and herding behavior. This leads to fruitful results and sheds light on a broad spectrum of aspects. In-depth analysis is provided of the speculative character of digital currencies and the possibility of improvement of the risk–return trade-off in investors’ portfolios. Overall, it is found that the inclusion of Bitcoin in portfolios with conventional assets could significantly improve the risk–return trade-off of investors’ decisions. Results on whether Bitcoin resembles gold are split. The same is true about whether Bitcoins volatility presents larger reactions to positive or negative shocks. Cryptocurrency markets are found not to be efficient. This study provides a roadmap for researchers and investors as well as authorities. Keywords: decentralized cryptocurrency; Bitcoin; survey; volatility modelling Citation: Kyriazis, Nikolaos A. 2021. A Survey on Volatility Fluctuations in the Decentralized Cryptocurrency Financial Assets. Journal of Risk and 1. Introduction Financial Management 14: 293. The continuing evolution of cryptocurrency markets and exchanges during the last few https://doi.org/10.3390/jrfm years has aroused sparkling interest amid academic researchers, monetary policymakers, 14070293 regulators, investors and the financial press. -
IB Case Study Vocabulary a Local Economy Driven by Blockchain (2020) Websites
IB Case Study Vocabulary A local economy driven by blockchain (2020) Websites Merkle Tree: https://blockonomi.com/merkle-tree/ Blockchain: https://unwttng.com/what-is-a-blockchain Mining: https://www.buybitcoinworldwide.com/mining/ Attacks on Cryptocurrencies: https://blockgeeks.com/guides/hypothetical-attacks-on-cryptocurrencies/ Bitcoin Transaction Life Cycle: https://ducmanhphan.github.io/2018-12-18-Transaction-pool-in- blockchain/#transaction-pool 51 % attack - a potential attack on a blockchain network, where a single entity or organization can control the majority of the hash rate, potentially causing a network disruption. In such a scenario, the attacker would have enough mining power to intentionally exclude or modify the ordering of transactions. Block - records, which together form a blockchain. ... Blocks hold all the records of valid cryptocurrency transactions. They are hashed and encoded into a hash tree or Merkle tree. In the world of cryptocurrencies, blocks are like ledger pages while the whole record-keeping book is the blockchain. A block is a file that stores unalterable data related to the network. Blockchain - a data structure that holds transactional records and while ensuring security, transparency, and decentralization. You can also think of it as a chain or records stored in the forms of blocks which are controlled by no single authority. Block header – main way of identifying a block in a blockchain is via its block header hash. The block hash is responsible for block identification within a blockchain. In short, each block on the blockchain is identified by its block header hash. Each block is uniquely identified by a hash number that is obtained by double hashing the block header with the SHA256 algorithm. -
Liquidity Or Leakage Plumbing Problems with Cryptocurrencies
Liquidity Or Leakage Plumbing Problems With Cryptocurrencies March 2018 Liquidity Or Leakage - Plumbing Problems With Cryptocurrencies Liquidity Or Leakage Plumbing Problems With Cryptocurrencies Rodney Greene Quantitative Risk Professional Advisor to Z/Yen Group Bob McDowall Advisor to Cardano Foundation Distributed Futures 1/60 © Z/Yen Group, 2018 Liquidity Or Leakage - Plumbing Problems With Cryptocurrencies Foreword Liquidity is the probability that an asset can be converted into an expected amount of value within an expected amount of time. Any token claiming to be ‘money’ should be very liquid. Cryptocurrencies often exhibit high price volatility and wide spreads between their buy and sell prices into fiat currencies. In other markets, such high volatility and wide spreads might indicate low liquidity, i.e. it is difficult to turn an asset into cash. Normal price falls do not increase the number of sellers but should increase the number of buyers. A liquidity hole is where price falls do not bring out buyers, but rather generate even more sellers. If cryptocurrencies fail to provide easy liquidity, then they fail as mediums of exchange, one of the principal roles of money. However, there are a number of ways of assembling a cryptocurrency and a number of parameters, such as the timing of trades, the money supply algorithm, and the assembling of blocks, that might be done in better ways to improve liquidity. This research should help policy makers look critically at what’s needed to provide good liquidity with these exciting systems. Michael Parsons FCA Chairman, Cardano Foundation, Distributed Futures 2/60 © Z/Yen Group, 2018 Liquidity Or Leakage - Plumbing Problems With Cryptocurrencies Contents Foreword .............................................................................................................. -
Universal Leaky Random Oracle
Universal Leaky Random Oracle Guangjun Fan1, Yongbin Zhou2, Dengguo Feng1 1 Trusted Computing and Information Assurance Laboratory,Institute of Software,Chinese Academy of Sciences,Beijing,China [email protected] , [email protected] 2 State Key Laboratory of Information Security,Institute of Information Engineering,Chinese Academy of Sciences,Beijing,China [email protected] Abstract. Yoneyama et al. introduces the Leaky Random Oracle Model at ProvSec2008 to capture the leakages from the hash list of a hash func- tion used by a cryptography construction due to various attacks caused by sloppy usages or implementations in the real world. However, an im- portant fact is that such attacks would leak not only the hash list, but also other secret states (e.g. the secret key) outside the hash list. There- fore, the Leaky Random Oracle Model is very limited in the sense that it considers the leakages from the hash list alone, instead of taking into con- sideration other possible leakages from secret states simultaneously. In this paper, we present an augmented model of the Leaky Random Oracle Model. In our new model, both the secret key and the hash list can be leaked. Furthermore, the secret key can be leaked continually during the whole lifecycle of the cryptography construction. Hence, our new model is more universal and stronger than the Leaky Random Oracle Model and some other leakage models (e.g. only computation leaks model and memory leakage model). As an application example, we also present a public key encryption scheme which is provably IND-CCA secure in our new model.