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Binance CEO Reveals New Details of ‘Damaging’ $44 Million Bitcoin Hack

Binance ceo reveals new details of ‘damaging’ $44 million bitcoin hack

Binance CEO Reveals New Details of ‘Damaging’ $44 Million Bitcoin Hack

By CCN: On May 10, Changpeng Zhao, the CEO of Binance, the world’s largest crypto exchange, released a security incident update regarding the firm’s loss of 7,000 bitcoin.

Following the high-profile security breach of the exchange during which sophisticated tools and methods were used to steal $44 million from Binance, the firm swiftly revamped its security measures and practices.

Binance, bitcoins

7074 bitcoins stolen from Binance | Source: Blockchain.com

“Rest assured, our team is making progress. We are taking this opportunity to significantly revamp some of our security measures, procedures, and practices. With the goal of resuming deposits and withdrawals as soon as possible, some of the changes will be done within the window of this week, and many further changes will be made afterward,” Zhao said.

In the near-term, Zhao emphasized that Binance will cooperate with major crypto exchanges and blockchain analytics firms to trace the movement of stolen funds and attempt to freeze the funds should they land on crypto exchanges.

Can Lost bitcoin be Traced?

With the hiring of Elliptic earlier this month to improve compliance efforts and security measures, Binance brought the total number of partner blockchain analytics firms to three, more any other major crypto exchange.

Companies like Elliptic and CipherTrace utilize the public blockchain networks of cryptocurrencies such as bitcoin to trace suspicious transactions and funds that are linked to criminal activities.

If hackers move the stolen bitcoin to other crypto exchanges to convert to fiat or to other cryptocurrencies, it would be possible for blockchain analytics firms to trace those transactions and to work with crypto exchanges to freeze them at an attempt of recovery.

Zhao said that Binance is currently working with a dozen of security teams to track down the hackers and the stolen funds, and with exchanges to freeze funds.

He noted:

We are working with a dozen or so industry-leading security teams to help improve our security as well as track down the hackers. Many security and blockchain analytics firms are actively helping us track the stolen funds. We are also working closely with many exchanges and other services to ensure stolen funds are frozen if received. It is already sort of an alliance, and we have some ideas to contribute more on this front after we get past this incident.

As Reuters reported, stolen funds from Binance have already started to move and the 7,000 BTC are now reportedly being managed by seven different addresses.

Coinfirm, a blockchain analytics firm based in London, emphasized that until the hackers attempt to cash out the stolen bitcoin, the identity and the location of the hackers will likely remain unknown.

Several security teams and experts in the crypto industry have offered to assist Binance in recovering its funds including the widely utilized cybersecurity software McAfee creator John McAfee.

Previously, CCN reported that Binance has said it will cover the loss with corporate funds, primarily using its Secure Asset Fund For Users (SAFU), an insurance fund the firm created last year.

Will the Incident Strengthen the Exchange Over the Long Run?

According to Zhao, despite the negative effect the security breach could have on the short-term outlook of the industry, the incident could strengthen the exchange in the long run.

“We will continue to fight for all of us, the community, against hackers and people with ill intentions. I believe this incident, while damaging us now, will actually make us far stronger and more secure in the long run,” Zhao said.

It will also likely serve as an alarm for many exchanges to prepare for an unlikely event of a security breach with proper insurance and infrastructure in place.


Published at Fri, 10 May 2019 10:00:08 +0000

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Do A.I. and Cryptocurrency Work Well Together?

Just because Grindelwald and Dumbledore had a deadly brawl during their quest to revolutionize magic doesn’t mean two great powers cannot be used in concert to change the world.

By Marcie Terman, founding director of XBT Corp Sarl


This could be the worst way to start an important conversation about financial technology, but stick with me, it gets more interesting. We are speaking about the world-altering technology of Artificial Intelligence as the first superpower coupled with the financial system disruptive technology of cryptocurrency — a decentralized payment system that circumvents government manipulation of currency and is forcing us to redefine the concept of money. The question is: Can these two technologies be used together to change the way ordinary people like you and me invest our money — without expiring in a shower of blue sparks? “Avada Kedavra!”

Avada Kedavra

But first, let’s take a step back and look into them as individual concepts, with respect to their relationships to investment and trading.

Artificial Intelligence

Artificial Intelligence (AI) means software that after its initial programming continues to improve its performance based on its experience of the environment it has been set to ‘learn.’ Unlike in movies, where AI is characteristically portrayed as menacing, human-destroying droids, AI software has actually bettered our lives in fields as diverse as healthcare, education, safety, transportation, and entertainment. In the field of financial trading, AI has been clandestinely used for two decades to generate profits for hedge funds, banks, and other large trading companies.

In its early days, AI trading systems relied on human intervention to provide trade execution but since the rise of electronic exchanges, AI trading has probably changed the character of the world’s markets without the general public’s knowledge.

Today, it is the hedge funds, banks and major international corporations like Goldman Sachs that are reaping the benefits from AI-based trading of forex and stock markets. These companies harness “deep learning” — evolving mathematical and statistical models of prediction and probability — to forecast the short-and-long term outcomes of various financial markets. These models, because of their nature, should be able to track the changes in market condition and therefore continue to improve their performance over time.

I Robot

Deep learning models aren’t concerned with the fundamentals of the underlying market. They work through pattern recognition, and like their human quantitative analyst counterparts seek the relationships between chart patterns and expected outcomes to generate a return. However, even the most disciplined human trader can be influenced by the fear of loss or greed which may change their trading behavior.

AI Bots, however, execute trades consistently without emotion at lightning speed directly onto the exchange, placing and closing trades on behalf of their clients. They stick faithfully to limits, never lose discipline or waver from their assigned course based on the idiosyncrasies of emotion.

Cryptocurrency Trading

Cryptocurrency trading, which until recently has been mostly centered on bitcoin, has gained momentum in recent years. Since Feb 2011, when bitcoin stood at parity with the US dollar, bitcoin has risen to where it is trading now some six years later at prices between $1,200 and $1,425. The reasons behind bitcoin’s success are many.

Coupled with its decentralized nature which protects it from all good and bad government policies; bitcoin is beginning to be seen as a viable alternative in certain countries where hyperinflation or lack of confidence in government has rendered the local currency a less attractive alternative. bitcoin is also becoming easier to manage, simpler to use, safer than carrying paper money and cheap enough to transact and carry, without needing an intermediary.

Despite the last 6 month’s remarkable price increase, bitcoin as an asset class has its share of ills, including periods of extreme market volatility. bitcoin’s limited supply coupled with the inability of governments to intervene to counteract market forces means that bitcoin reacts quickly to market bias. Take for example, the very recent bitcoin ETF buzz: bitcoin’s price trended northward comfortably ahead of the SEC’s ETF ruling amid growing optimism, hitting a peak of $1,327 a coin. But after the SEC shot down both the Gemini and SolidX bitcoin ETF projects, the price nosedived 20% before rallying within the month back to similar levels.

In addition, shorter-term fluctuations can be seen if one looks at intraday bitcoin charts. On an average BTC/USD chart, bitcoin’s value fluctuates between 10 and 15 USD every 4 hours and sometimes quite a bit higher. For many investors, such fluctuations make bitcoin an uncomfortable investment choice. However, there are day traders who use this volatility to take tidy profits out of the market on a daily basis. These are the traders who are fixed, glued to their computer monitors and mobile screens all day long, tracking the market to enter and exit positions.

intraday bitcoin charts

So we return to the original question: “Can a market as young and volatile as cryptocurrency be successfully partnered with Artificial Intelligence to produce a profitable outcome?”

With market capitalizations in the low millions up to low billions, cryptocurrency markets present too small an opportunity to interest most trading banks and hedge funds. They use the power of their deep pockets coupled with AI to generate massive profits from high-frequency trading where a few millisecond advantage over competitors can generate big returns.

This means that there is room while cryptocurrency markets are still in their infancy for AI developers to create systems that learn to identify profit opportunities in these young, highly volatile markets. And while a Goldman Sachs may snort at a market cap of 20 billion dollars, investors like you or me would be delighted with this kind of profit.

We are starting to see young talent, like the people running the Our AI Bot blog out of the UK. These types of cryptocurrency enthusiasts are coupling their Deep Learning System knowledge with innovation, imagination and an understanding of the inputs that are relevant to predicting digital currency market movement to yield what look like fairly outstanding results.

But many within the cryptocurrency space feel the markets are moving towards mainstream and already there are players like Pantera Capital and banks like Santander and Citibank that are looking at how to generate profits from the cryptocurrency markets. So the window of opportunity for individuals to benefit from what AI can do in digital currency trading is probably limited. The time to look at this opportunity is now – “Expecto Patronum!”

What do you think? Can A.I. and cryptocurrency work well together? Let us know in the comments below.


Images courtesy of Warner Bros Productions, Twentieth Century Fox Film Corporation, CryptoCompare, AdobeStock

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