Optical Proof of Work
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Pwc I 2Nd Global Crypto M&A and Fundraising Report
2nd Global Crypto M&A and Fundraising Report April 2020 2 PwC I 2nd Global Crypto M&A and Fundraising Report Dear Clients and Friends, We are proud to launch the 2nd edition of our Global Crypto M&A and Fundraising Report. We hope that the market colour and insights from this report will be useful data points. We will continue to publish this report twice a year to enable you to monitor the ongoing trends in the crypto ecosystem. PwC has put together a “one stop shop” offering, focused on crypto services across our various lines of services in over 25 jurisdictions, including the most active crypto jurisdictions. Our goal is to service your needs in the best possible way leveraging the PwC network and allowing you to make your project a success. Our crypto clients include crypto exchanges, crypto investors, crypto asset managers, ICOs/IEOs/STOs/stable and asset backed tokens, traditional financial institutions entering the crypto space as well as governments, central banks, regulators and other policy makers looking at the crypto ecosystem. As part of our “one stop shop” offering, we provide an entire range of services to the crypto ecosystem including strategy, legal, regulatory, accounting, tax, governance, risk assurance, audit, cybersecurity, M&A advisory as well as capital raising. More details are available on our global crypto page as well as at the back of this report. 2nd Global Crypto M&A and Fundraising Report April 2020 PwC 2 3 PwC I 2nd Global Crypto M&A and Fundraising Report 5 Key takeaways when comparing 2018 vs 2019 There -
Asymmetric Proof-Of-Work Based on the Generalized Birthday Problem
Equihash: Asymmetric Proof-of-Work Based on the Generalized Birthday Problem Alex Biryukov Dmitry Khovratovich University of Luxembourg University of Luxembourg [email protected] [email protected] Abstract—The proof-of-work is a central concept in modern Long before the rise of Bitcoin it was realized [20] that cryptocurrencies and denial-of-service protection tools, but the the dedicated hardware can produce a proof-of-work much requirement for fast verification so far made it an easy prey for faster and cheaper than a regular desktop or laptop. Thus the GPU-, ASIC-, and botnet-equipped users. The attempts to rely on users equipped with such hardware have an advantage over memory-intensive computations in order to remedy the disparity others, which eventually led the Bitcoin mining to concentrate between architectures have resulted in slow or broken schemes. in a few hardware farms of enormous size and high electricity In this paper we solve this open problem and show how to consumption. An advantage of the same order of magnitude construct an asymmetric proof-of-work (PoW) based on a compu- is given to “owners” of large botnets, which nowadays often tationally hard problem, which requires a lot of memory to gen- accommodate hundreds of thousands of machines. For prac- erate a proof (called ”memory-hardness” feature) but is instant tical DoS protection, this means that the early TLS puzzle to verify. Our primary proposal Equihash is a PoW based on the schemes [8], [17] are no longer effective against the most generalized birthday problem and enhanced Wagner’s algorithm powerful adversaries. -
Lab 5: Bittorrent Client Implementation
Lab 5: BitTorrent Client Implementation Due: Nov. 30th at 11:59 PM Milestone: Nov. 19th during Lab Overview In this lab, you and your lab parterner will develop a basic BitTorrent client that can, at minimal, exchange a file between multiple peers, and at best, function as a full feature BitTorrent Client. The programming in this assignment will be in C requiring standard sockets, and thus you will not need to have root access. You should be able to develop your code on any CS lab machine or your personal machine, but all code will be tested on the CS lab. Deliverable Your submission should minimally include the following programs and files: • REDME • Makefile • bencode.c|h • bt lib.c|h • bt setup.c|h • bt client • client trace.[n].log • sample torrent.torrent Your README file should contain a short header containing your name, username, and the assignment title. The README should additionally contain a short description of your code, tasks accomplished, and how to compile, execute, and interpret the output of your programs. Your README should also contain a list of all submitted files and code and the functionality implemented in different code files. This is a large assignment, and this will greatly aid in grading. As always, if there are any short answer questions in this lab write-up, you should provide well marked answers in the README, as well as indicate that you’ve completed any of the extra credit (so that I don’t forget to grade it). Milestones The entire assignment will be submitted and graded, but your group will also hold a milestone meeting to receive feedback on your current implementation. -
Prism: Scaling Bitcoin by 10000
Prism: Scaling Bitcoin by 10,000× Lei Yang∗ Vivek Bagaria† Gerui Wang‡ Mohammad Alizadeh∗ David Tse† Giulia Fanti§ Pramod Viswanath‡ ABSTRACT and throughput in the blockchain (§4). A recent theoretical paper Bitcoin is the first fully-decentralized permissionless blockchain described the core protocol and analyzed its security properties [6]. protocol to achieve a high level of security: the ledger it maintains While these theoretical results are promising, it is not clear has guaranteed liveness and consistency properties as long as the ad- how well they can translate into real-world performance. First, the versary has less compute power than the honest nodes. However, its Prism consensus protocol is much more complex than the longest throughput is only 7 transactions per second and the confirmation chain protocol: clients must maintain over 1000 distinct blockchains, latency can be up to hours. Prism is a new blockchain protocol that is which refer to each other to create an intricate directed acyclic graph designed to achieve a natural scaling of Bitcoin’s performance while (DAG) structure, and they must process blocks at very high rates maintaining its full security guarantees. We present an implementa- (e.g., 100-1000s of blocks per second at 100s of Mbps) to update these tion of Prism that achieves a throughput of over 70;000 transactions blockchains and confirm transactions. Second, Prism’s theoretical per second and confirmation latency of tens of seconds on networks analysis relies on several simplifying assumptions (e.g., round-based of up to 1000 EC2 Virtual Machines. The code can be found at [5]. -
A Decentralized Cloud Storage Network Framework
Storj: A Decentralized Cloud Storage Network Framework Storj Labs, Inc. October 30, 2018 v3.0 https://github.com/storj/whitepaper 2 Copyright © 2018 Storj Labs, Inc. and Subsidiaries This work is licensed under a Creative Commons Attribution-ShareAlike 3.0 license (CC BY-SA 3.0). All product names, logos, and brands used or cited in this document are property of their respective own- ers. All company, product, and service names used herein are for identification purposes only. Use of these names, logos, and brands does not imply endorsement. Contents 0.1 Abstract 6 0.2 Contributors 6 1 Introduction ...................................................7 2 Storj design constraints .......................................9 2.1 Security and privacy 9 2.2 Decentralization 9 2.3 Marketplace and economics 10 2.4 Amazon S3 compatibility 12 2.5 Durability, device failure, and churn 12 2.6 Latency 13 2.7 Bandwidth 14 2.8 Object size 15 2.9 Byzantine fault tolerance 15 2.10 Coordination avoidance 16 3 Framework ................................................... 18 3.1 Framework overview 18 3.2 Storage nodes 19 3.3 Peer-to-peer communication and discovery 19 3.4 Redundancy 19 3.5 Metadata 23 3.6 Encryption 24 3.7 Audits and reputation 25 3.8 Data repair 25 3.9 Payments 26 4 4 Concrete implementation .................................... 27 4.1 Definitions 27 4.2 Peer classes 30 4.3 Storage node 31 4.4 Node identity 32 4.5 Peer-to-peer communication 33 4.6 Node discovery 33 4.7 Redundancy 35 4.8 Structured file storage 36 4.9 Metadata 39 4.10 Satellite 41 4.11 Encryption 42 4.12 Authorization 43 4.13 Audits 44 4.14 Data repair 45 4.15 Storage node reputation 47 4.16 Payments 49 4.17 Bandwidth allocation 50 4.18 Satellite reputation 53 4.19 Garbage collection 53 4.20 Uplink 54 4.21 Quality control and branding 55 5 Walkthroughs ............................................... -
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. -
Crypto Garage Developed and Executed the Contract of a P2P
April 19, 2019 Crypto Garage, Inc. NEWS RELEASE Crypto Garage Developed and Executed the Contract of a P2P Protocol Based Crypto Asset Derivative Settled in Bitcoin 〜Executed First Derivative Contract with Blockstream〜 Crypto Garage, Inc. (HQ: Tokyo; Representative Director: Masahito Okuma; Crypto Garage), a Fintech company developing blockchain financial services and also a subsidiary of Digital Garage, Inc. (TSE first section: 4819; HQ: Tokyo; Representative Director, President Executive Officer and Group CEO: Kaoru Hayashi; DG) developed a peer-to- peer crypto asset derivative contract protocol and executed a contract based on this protocol on the Bitcoin Blockchain. Blockstream Corporation (HQ: Victoria Canada; CEO: Adam Back; Blockstream), the global leader in blockchain technology and financial cryptography, and Crypto Garage entered into a derivative contract that locks the future Bitcoin price [on a collared basis] in order to hedge the Bitcoin price fluctuation risk against the US dollar. Crypto Garage developed a P2P derivative technology based on the Discreet Log Contracts (https://dci.mit.edu/smart-contracts) that Thaddeus Dryja from MIT Digital Currency Initiatives proposed. This contract is a smart contract applied on the Bitcoin Blockchain and requires the agreement and posting of collateral by both parties. The agreed terms and collateral are defined on the Bitcoin Blockchain. Since settlement is cryptographically secured, this contract minimizes counterparty risk, such as breach of contract and other contract termination events. Contact: Hiroshi Ikemoto, Leo Shiraishi, Corporate Communication Dept., Digital Garage, Inc. Email: [email protected], TEL: +81-3-6367-1101 April 19, 2019 Crypto Garage, Inc. NEWS RELEASE The bitcoin price for the maturity date is determined by the ICE Cryptocurrency Data Feed, as agreed upon by both parties in advance. -
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 ......................................................................................................................................................... -
The Economic Limits of Bitcoin and the Blockchain∗†
The Economic Limits of Bitcoin and the Blockchain∗† Eric Budish‡ June 5, 2018 Abstract The amount of computational power devoted to anonymous, decentralized blockchains such as Bitcoin’s must simultaneously satisfy two conditions in equilibrium: (1) a zero-profit condition among miners, who engage in a rent-seeking competition for the prize associated with adding the next block to the chain; and (2) an incentive compatibility condition on the system’s vulnerability to a “majority attack”, namely that the computational costs of such an attack must exceed the benefits. Together, these two equations imply that (3) the recurring, “flow”, payments to miners for running the blockchain must be large relative to the one-off, “stock”, benefits of attacking it. This is very expensive! The constraint is softer (i.e., stock versus stock) if both (i) the mining technology used to run the blockchain is both scarce and non-repurposable, and (ii) any majority attack is a “sabotage” in that it causes a collapse in the economic value of the blockchain; however, reliance on non-repurposable technology for security and vulnerability to sabotage each raise their own concerns, and point to specific collapse scenarios. In particular, the model suggests that Bitcoin would be majority attacked if it became sufficiently economically important — e.g., if it became a “store of value” akin to gold — which suggests that there are intrinsic economic limits to how economically important it can become in the first place. ∗Project start date: Feb 18, 2018. First public draft: May 3, 2018. For the record, the first large-stakes majority attack of a well-known cryptocurrency, the $18M attack on Bitcoin Gold, occurred a few weeks later in mid-May 2018 (Wilmoth, 2018; Wong, 2018). -
Bitcoin Scaling Solutions and Their Downsides by Simona Mola and Zhong Zhang (March 6, 2019, 12:35 PM EST)
Portfolio Media. Inc. | 111 West 19th Street, 5th Floor | New York, NY 10011 | www.law360.com Phone: +1 646 783 7100 | Fax: +1 646 783 7161 | [email protected] Bitcoin Scaling Solutions And Their Downsides By Simona Mola and Zhong Zhang (March 6, 2019, 12:35 PM EST) Bitcoin was designed as a decentralized monetary system and an alternative to central banking. Decentralization implies that no one can unilaterally change the way bitcoin works or its transaction history. Since Satoshi Nakamoto released the original bitcoin whitepaper in 2010,[1] reaching and maintaining decentralization has been the priority of all technological developments. To this end, bitcoin relies on its technological design: open source software, public-key cryptography, blockchain data structure, proof-of- work mining and distributed full nodes. Simona Mola However, it is well known that bitcoin has a scalability problem.[2] We have all heard at least once the comparison between bitcoin and Visa in terms of transaction capacity. That is, while Visa handles an average of 150 million transactions per day as of the end of 2018,[3] bitcoin network processes about 280,000 transactions per day.[4] This capacity is not enough to serve as a global digital medium of exchange. Bitcoin Average Transaction Fee in USD Zhong Zhang Besides the comparison with Visa, which may not be quite parallel, bitcoin’s scaling problem is reflected in its average transaction fees. In the situation of greater market demand for bitcoin transactions, the restriction of the block size to 1 MB leads to a higher average wait time before confirmation and thus greater transaction fees. -
Blockchain, a Catalyst for New Approaches in Insurance
Blockchain, a catalyst for new approaches in insurance Thought up as the underlying architecture for the Bitcoin cryptocurrency in 2008, blockchain technology is currently a hot topic and the subject of numerous studies in sectors outside the payments industry to which it has often been confined in the past. Blockchain is considered by some to represent the next technological revolution after the Internet. In fact, the idea of a decentralised, secure and transparent ledger distributed among users can be relevant to many different fields. The insurance industry, with its highly complex processes, could be a major beneficiary of the technology. By removing intermediaries in a new type of arrangement, blockchain technology could completely upend the insurance value chain: - Development/acceleration of new products/markets for which business models were difficult to define until now. - New approaches to underwriting, contracts and claims management, particularly through a combination of smart contracts and the Internet of Things (IoT). - Overhaul of the modus operandi of insurance agreements. - New reinsurance approaches, particularly internal reinsurance via smart contracts. - Transformation of asset management with automated settlement and delivery of intangibles. Use of blockchain should help to cut acquisition, management, documentation and compliance costs. It should help new players enter the market and new markets to emerge, particularly in developing countries. By simplifying use and increasing transparency, it will also help to improve customer satisfaction. Although the upside is significant, several risks should also be anticipated. These include competition with InsurTechs, a legal framework that will need to evolve, and the challenges of rolling out the technology on a large scale.