The threat of cyber attacks with IA on blockchain networks
As the world is increasingly depends on blockchain technology, the potential of cyber attacks to compromise these networks has never been so pronounced. Blockchain networks, which use a decentralized and safe digital book to record transactions, has progressed a lot in recent years, but their safety is no longer a late occurrence.
Artificial intelligence (AI) and automatic learning (ML) algorithms are increasingly used to feed cyber attacks with IA on blockchain networks. These attacks can be devastating, not only for individuals and companies that depend on these networks, but also to the general economy. In this article, we will explore the threat of cyber attacks with AI in blockchain networks and examine some of the main vulnerabilities that make them so attractive to computer pirates.
What are cyber attacks with AI?
Cyber attacks with AI imply the use of automatic learning algorithms to identify and explore weaknesses in blockchain networks. These attacks can take many forms, including:
1.
- Data training : Invaders inject malicious data into the network to manipulate their behavior or create false transactions.
- Cryptanalysis : Computer pirates use mathematical algorithms to break the encryption methods used by blockchain networks.
Why are cyber attacks with blockchain networks so threatening?
Blockchain networks are highly secure in theory, but their real -world implementations have numerous vulnerabilities that can be explored by computer pirates. Here are some reasons why cyber attacks with AI on blockchain networks are very threatening:
- Lack of standardization : Currently, there is no standardization in the design and implementation of blockchain networks, which makes it difficult to identify and approach weaknesses.
- Insufficient security measures : Many blockchain networks are based on basic encryption methods such as AES-256, which can be easily broken using sophisticated algorithms.
- Bad network architecture : Blockchain networks are usually designed as a decentralized system, but this also makes them vulnerable to attacks if they are not properly protected.
Real world examples of cyber attacks with AI
Several high profile piracy incidents demonstrated the threat raised by cyber attacks with AI on blockchain networks. Some examples include:
- Computer pirates can get $ 150 million in assets.
- Cucincheck : In 2018, Cucincheck, a Japanese cryptocurrency exchange, was a pirate using a cryptoanalysis technique to break the encryption methods used by its blockchain network.
Mitigate the threat
Although the threat of cyber attacks with IA on blockchain networks is undeniable, there are measures that can be taken to mitigate this risk:
- Implement Solid Safety Measures
: Use advanced encryption methods and implement safe authentication mechanisms.
- Use multifactorial authentication : Make sure users should provide multiple forms of verification before accessing confidential information or transactions.
- Update regularly and correct the Software : Keep updated blockchain software updated to ensure that vulnerabilities are divided quickly after discovery.
- Perform regular security audits : Exercise regularly vulnerabilities and weaknesses in network architecture.
Conclusion
The threat of cyber attacks with AI on blockchain networks is a serious concern that cannot be ignored.
Leave a Reply