Biden taps crypto-savvy former CFTC chair for transition team

Biden taps crypto-savvy former CFTC chair for transition team

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Bitcoin has started to rally massively over recent weeks. BTC currently trades at multi-year highs…

Uniswap’s UNI governance token has been rocketing higher alongside the aggregated DeFi…

Bitcoin has been struggling to maintain its immense momentum following the multiple rejections…

The deposit contract for Ethereum’s 2.0 upgrade now holds over 50k ETH – 10% of the threshold…

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Bitcoin whale clusters show that $14,914 is critical for the ongoing rally to see continuation….

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Yearn.finance’s YFI has been caught within the throes of an intense uptrend throughout the…

The Acting Comptroller of the Currency presented the growing role of crypto in general and…

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Source: cryptocoinfactory.com


Despite Infura Crash, Ethereum Leads Bitcoin, XRP to Higher Highs

Despite Infura Crash, Ethereum Leads Bitcoin, XRP to Higher Highs

  • Bitcoin continues consolidating within a narrow trading range, despite increasing number of whales in the network.
  • Meanwhile, Ethereum is breaking out of a symmetrical triangle as speculation mounts around ETH 2.0.
  • On the other hand, XRP faces stiff resistance ahead while investors lose confidence.
  • Bitcoin, Ethereum, and XRP sit at a pivotal point as billionaires flock to the cryptocurrency industry. While buying pressure mounts, these cryptocurrencies could be about to rise to higher highs.

    The bellwether cryptocurrency has endured a week-long consolidation phase that forced the Bollinger bands to squeeze on its 4-hour chart. This technical index’s contractions indicate low volatility periods, which are usually succeeded by significant price movements. This is especially true when trends prolong for an extended period as it is happening at the moment.

    Although the Bollinger bands forecast that the pioneer cryptocurrency is about to breakout, it fails to provide a clear path for its trend. Such failure makes the area between the lower and upper band a reasonable no-trade zone.

    Only a 4-hour candlestick close below $14,850 support or above the $15,760 resistance will determine where BTC is headed next.

    Despite the ambiguity that Bitcoin presents, data from the behavior analytics platform, Santiment reveals that whales are going into a buying frenzy. The number of addresses with 10,000 to 100,000 BTC surged nearly 7% in the last few weeks.

    Approximately seven new whales have joined the network in such a short period.

    The continuous increase in the number of big players behind Bitcoin may seem insignificant at first glance. Still, when considering they hold between $150 million to $1.5 billion in BTC, the spike in buying pressure can translate into billions of dollars.

    If buy orders continue to pile up, Bitcoin may have the strength to move past the overhead resistance at $15,760. Turning this critical price hurdle into support could see the pioneer cryptocurrency rise towards the next supply wall at $17,250.

    Regardless, the bearish outlook cannot be disregarded because of the high levels of greed among market participants. A sudden spike in downward pressure that sends Bitcoin below the $14,850 support may lead to a 10% correction towards $13,300.

    Ethereum appears to be breaking out of a symmetrical triangle formed over the past week, while prices remained stagnant. By measuring the distance between the initial high and low of the pattern and adding it to the breakout point, this technical formation forecasts a 10% target.

    A further increase in the buying pressure behind the smart contracts giant could take it to trade at around $500.

    IntoTheBlock’s “In/Out of the Money Around Price” (IOMAP) model adds credence to the bullish outlook. This on-chain metric reveals no significant supply barriers ahead of Ethereum, preventing it from achieving its upside potential.

    On the flip side, the IOMAP cohorts show that this cryptocurrency is trading on top of stable support. Nearly 500,000 addresses had previously purchased 8.2 million Ether between $417 and $431.

    This massive demand zone may have the ability to absorb some of the selling pressure in the event of a correction.

    XRP has been contained between its 100-, 50-, and 200-day moving averages over the past month. These trend following indicators have reduced the price action into a tight trading range that is getting narrower over time.

    While the rest of the market has made clear signals where it is headed next, the cross-border remittances token has failed to do so. A daily candlestick close above the 100-day moving average or below the 200-day moving average will determine the trend’s direction.

    If demand rises around the current levels, XRP may have the strength to slice through the overhead resistance. Turning the 100-day moving average into support could see prices rise towards the next important area of interest, around $0.3.

    Nonetheless, XRP’s price must continue to hold above the 200-day moving average for the optimistic scenario to prevail.

    Breaking through this support level would be catastrophic for the altcoin as it might ignite panic selling among investors. Under such circumstances, the odds will drastically increase for a downswing to $0.21.

    Ethereum appears to be leading today’s run-up in the cryptocurrency market. The bullish impulse behind it seems to be correlated with mounting speculation around ETH 2.0.

    Data from Dune Analytics reveals that nearly 53,000 ether have been sent to the Ethereum 2.0 deposit contract over the past few days, showing the community’s interest in this crucial upgrade.

    As the largest altcoin by market cap takes the spotlight, it looks like Bitcoin and XRP have fallen behind.

    Though the high levels of correlation in the market suggest that these cryptocurrencies may soon catch up with Ethereum, only a break of their respective resistance barriers will confirm the optimistic outlook.

    The information on or accessed through this website is obtained from independent sources we believe to be accurate and reliable, but Decentral Media, Inc. makes no representation or warranty as to the timeliness, completeness, or accuracy of any information on or accessed through this website. Decentral Media, Inc. is not an investment advisor. We do not give personalized investment advice or other financial advice. The information on this website is subject to change without notice. Some or all of the information on this website may become outdated, or it may be or become incomplete or inaccurate. We may, but are not obligated to, update any outdated, incomplete, or inaccurate information.

    You should never make an investment decision on an ICO, IEO, or other investment based on the information on this website, and you should never interpret or otherwise rely on any of the information on this website as investment advice. We strongly recommend that you consult a licensed investment advisor or other qualified financial professional if you are seeking investment advice on an ICO, IEO, or other investment. We do not accept compensation in any form for analyzing or reporting on any ICO, IEO, cryptocurrency, currency, tokenized sales, securities, or commodities.

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    Source: cryptobriefing.com

    Author: by
    Ali Martinez


    RSA (cryptosystem) - Wikipedia

    RSA (cryptosystem) – Wikipedia

    This article is about a cryptosystem. For the company, see RSA Security.

    The system includes a communications channel coupled to at least one terminal having an encoding device and to at least one terminal having a decoding device. A message-to-be-transferred is enciphered to ciphertext at the encoding terminal by encoding the message as a number M in a predetermined set. That number is then raised to a first predetermined power (associated with the intended receiver) and finally computed. The remainder or residue, C, is… computed when the exponentiated number is divided by the product of two predetermined prime numbers (associated with the intended receiver).

  • For security purposes, the integers p and q should be chosen at random, and should be similar in magnitude but differ in length by a few digits to make factoring harder.[2] Prime integers can be efficiently found using a primality test.
  • p and q are kept secret.
  • n is used as the modulus for both the public and private keys. Its length, usually expressed in bits, is the key length.
  • n is released as part of the public key.
  • λ(n) is kept secret.
  • The lcm may be calculated through the Euclidean algorithm, since lcm(a,b) = |ab|/gcd(a,b).
  • e having a short bit-length and small Hamming weight results in more efficient encryption  – the most commonly chosen value for e is 216 + 1 = 65,537. The smallest (and fastest) possible value for e is 3, but such a small value for e has been shown to be less secure in some settings.[15]
  • e is released as part of the public key.
  • This means: solve for d the equation d⋅e ≡ 1 (mod λ(n)); d can be computed efficiently by using the Extended Euclidean algorithm, since, thanks to e and λ(n) being coprime, said equation is a form of Bézout’s identity, where d is one of the coefficients.
  • d is kept secret as the private key exponent.
  • Decrypt a message only intended for the recipient, which may be encrypted by anyone having the public key (asymmetric encrypted transport).
  • Encrypt a message which may be decrypted by anyone, but which can only be encrypted by one person; this provides a digital signature.
  • If m ≡ 0 (mod p), m is a multiple of p. Thus med is a multiple of p. So med ≡ 0 ≡ m (mod p).
  • If m 0 (mod p),
  • If m ≡ 0 (mod q), med is a multiple of q. So med ≡ 0 ≡ m (mod q).
  • If m 0 (mod q),
  • When encrypting with low encryption exponents (e.g., e = 3) and small values of the m, (i.e., m < n1/e) the result of me is strictly less than the modulus n. In this case, ciphertexts can be decrypted easily by taking the eth root of the ciphertext over the integers.
  • If the same clear text message is sent to e or more recipients in an encrypted way, and the receivers share the same exponent e, but different p, q, and therefore n, then it is easy to decrypt the original clear text message via the Chinese remainder theorem. Johan Håstad noticed that this attack is possible even if the cleartexts are not equal, but the attacker knows a linear relation between them.[22] This attack was later improved by Don Coppersmith (see Coppersmith’s attack).[23]
  • Because RSA encryption is a deterministic encryption algorithm (i.e., has no random component) an attacker can successfully launch a chosen plaintext attack against the cryptosystem, by encrypting likely plaintexts under the public key and test if they are equal to the ciphertext. A cryptosystem is called semantically secure if an attacker cannot distinguish two encryptions from each other, even if the attacker knows (or has chosen) the corresponding plaintexts. As described above, RSA without padding is not semantically secure.[24]
  • RSA has the property that the product of two ciphertexts is equal to the encryption of the product of the respective plaintexts. That is m1em2e ≡ (m1m2)e (mod n). Because of this multiplicative property a chosen-ciphertext attack is possible. E.g., an attacker who wants to know the decryption of a ciphertext c ≡ me (mod n) may ask the holder of the private key d to decrypt an unsuspicious-looking ciphertext c′ ≡ cre (mod n) for some value r chosen by the attacker. Because of the multiplicative property c′ is the encryption of mr (mod n). Hence, if the attacker is successful with the attack, they will learn mr (mod n) from which they can derive the message m by multiplying mr with the modular inverse of r modulo n.[citation needed]
  • Given the private exponent d one can efficiently factor the modulus n = pq. And given factorization of the modulus n = pq, one can obtain any private key (d’,n) generated against a public key (e’,n).[15]
  • and : the primes from the key generation,
  • ,
  • and
  • .
  • (if then some[clarification needed] libraries compute h as )
  • Botan
  • Bouncy Castle
  • cryptlib
  • Crypto++
  • Libgcrypt
  • Nettle
  • OpenSSL
  • wolfCrypt
  • GnuTLS
  • mbed TLS
  • LibreSSL
  • Acoustic cryptanalysis
  • Computational complexity theory
  • Cryptographic key length
  • Diffie–Hellman key exchange
  • Key exchange
  • Key management
  • Elliptic-curve cryptography
  • Public-key cryptography
  • Trapdoor function
  • Menezes, Alfred; van Oorschot, Paul C.; Vanstone, Scott A. (October 1996). Handbook of Applied Cryptography. CRC Press. ISBN 978-0-8493-8523-0.
  • Cormen, Thomas H.; Leiserson, Charles E.; Rivest, Ronald L.; Stein, Clifford (2001). Introduction to Algorithms (2nd ed.). MIT Press and McGraw-Hill. pp. 881–887. ISBN 978-0-262-03293-3.
  • The Original RSA Patent as filed with the U.S. Patent Office by Rivest; Ronald L. (Belmont, MA), Shamir; Adi (Cambridge, MA), Adleman; Leonard M. (Arlington, MA), December 14, 1977, U.S. Patent 4,405,829 .
    • The PKCS #1 standard “provides recommendations for the implementation of public-key cryptography based on the RSA algorithm, covering the following aspects: cryptographic primitives; encryption schemes; signature schemes with appendix; ASN.1 syntax for representing keys and for identifying the schemes”.
  • Explanation of RSA using colored lamps on YouTube
  • Thorough walk through of RSA
  • Prime Number Hide-And-Seek: How the RSA Cipher Works
  • Onur Aciicmez, Cetin Kaya Koc, Jean-Pierre Seifert: On the Power of Simple Branch Prediction Analysis
  • A New Vulnerability In RSA Cryptography, CAcert NEWS Blog
  • Example of an RSA implementation with PKCS#1 padding (GPL source code)
  • Kocher’s article about timing attacks
  • An animated explanation of RSA with its mathematical background by CrypTool
  • Grime, James. “RSA Encryption”. Numberphile. Brady Haran.
  • How RSA Key used for Encryption in real world
  • Source: en.wikipedia.org


    Biden taps crypto-savvy former CFTC chair for transition team


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