There is never absolute security in the field of network security. As the development of science and technology extends to different industries, everyone's side is marked by the crisis of network attacks. A large number of corporate networks remain vulnerable, often as a result of long-standing security vulnerabilities. This situation will likely continue, and we need to understand the dangers around us and how to protect ourselves in the future.
As more and more companies move their data to the cloud instead of storing locally, there will be more and more attacks targeting cloud vulnerabilities in the future. Cloud technology provides a centralized location for data storage, which is more secure than storing files locally. However, publicly accessible cloud-based facilities are often poorly secured and contain large amounts of sensitive and valuable data. As a result, enterprise cloud extensions are often the target of cyberattacks. It is one of the most common cloud computing vulnerabilities.
Artificial intelligence and machine learning-based cyberattacks against enterprise systems are likely to increase. Threat actors will focus on attacking machine learning and AI data models to make incorrect predictions and classifications by maliciously corrupting data into the training of models.
The application of artificial intelligence in fields such as health, medical treatment, and social management will involve a large amount of privacy, security, and data applications. Cybercriminals will find ways to introduce false or misleading information, alter or delete existing data, or manipulate data in a way that makes it inaccurate or untrustworthy, causing AI to make incorrect diagnoses with severe consequences.
Artificial intelligence's research and development goals, implementation, and operating mechanisms are not transparent now. For example, the machine learning model is completed by selecting and responding to a large amount of data. The risks of black boxes create unknowns about privacy protection, data security, algorithmic bias and discrimination.
The adoption of 5G technology may lead to more IoT devices being connected to the network, creating opportunities for cybercriminals to launch more extensive and more sophisticated attacks when 5G encounters threats to the cloud, data, and the IoT (Internet of Things). Thus, new opportunities and potentially more severe security risks arise at the same time. Different devices manage different types of traffic, making it easier for attackers to target specific types of traffic vulnerabilities. It could exploit some of these vulnerabilities to gain access to data or even directly to IoT devices on the network. Additionally, the new architecture of 5G networks increases the possibility of security issues for users, including denial of service attacks, botnet attacks, and man-in-the-middle attacks.
On the other hand, 5G IoT devices increasingly provide enterprises with mixed-fit work devices. Therefore, tracking and protecting many potential communication protocols, operating systems, and other devices and applications is essential.
In 2022, the crisis of cryptocurrency emergence hit a high record. These scams can take many forms, including schemes promising to get rich quickly, fake giveaways on social media, impersonating legitimate crypto-currency exchanges, and other scams using cryptocurrencies as decoys. The lack of regulation and anonymity makes it easy for cyber-criminals to operate, making these cryptocurrency scams more common. Individuals need to be cautious and risk-aware.
Data privacy is more important than ever as criminals continue to mine your personal information. The data stored in a distributed database, which is such a huge system. It is precisely because of this storage method that the storage path view is relatively straightforward, and the data volume is too large, resulting in relatively simple data protection. But unfortunately, it is easier for hackers to exploit related loopholes and implement illegal operations, causing security problems.
Big data is riskier for information leakage. When big data collects and mines user privacy data, it must ensure that user privacy data in each storage point is not illegal during the information transmission and data exchange of distributed computing. Due to a large number of users and complex audience types in the big data environment, the authentication of customer identities requires a lot of processing power.
1. Avoid unknown links and downloads
Please don't click on the unknown messages that appear in the pop-up window, they may carry spyware, or Trojan horse viruses, which can destroy the security of your device. In addition, scammers can use attachments and websites to infect your computer with malware. Learn more about malicious URLs.
2. Pay with the official payment processor
Use an officially trusted payment processor. The official payment method can assist you in obtaining evidence and reduce losses when it is coming fraud. It is your good partner at that time. However, security is wholly exposed to criminals if it is an unprotected unofficial payment platform.
3. Guard your sites
When logging into an account or involving personal data, such as banking, online shopping, and data storage, please check HTTPS at the beginning of the website URL. And pay great attention to avoid entering personal financial information, home address, bank account information, and other private data into public computers. Unsafe computers may contain software that can replenish passwords or additional information.
4. Avoid phishing and smishing
Never click on any email from anyone you don't know. You should mark these emails as spam instead of opening them. If the email purports to be from a company you do business with or is related to the security of your bank account, you should first check the email address to see who sent it. It is a significant step to identify the email source and contact the company via their official contact details for clarification.
It's not the best protection for everything, but it's better than nothing if it's indispensable. Use strong, unique, complex passwords for your frequently logged-in accounts. They need to contain uppercase and lowercase letters, numbers, special symbols, and preferably at least eight digits, and use a separate password manager to store them more securely.