In This Article
- DDoS is the Most Powerful than Ever
- How is AI Helping to Deal with DDoS
Distributed denial-of-service (DDoS) attacks are one of the most critical threats to the digital network, adding to the traffic flood in the target server and making it unavailable for the legitimate users. This has become the tool of choice for cybercriminals, particularly the politically motivated ones, and multiple research studies have been done to know more about it.
DDoS attacks are targeting the critical infrastructure, causing pressure on the political matters, so they have a dominant role in the geopolitical conflicts. On Wednesday, a report was published on the topic showing the severity and influence of DDoS on social and political events.
Among other sociopolitical events, the most influential ones are the most sensitive ones, like protests, elections, and social campaigns, causing disputes and negative effects through the digital platforms. According to the research, one of the main reasons is that it is the easiest way to erode trust in the institutions and organizations and has influenced multiple events.
DDoS is the Most Powerful than Ever
DDoS is constantly evolving, and the cybercriminals know all the latest technologies; therefore, they use every possible way to get the most advantage. This has created new challenges for organizations and institutions, and the expert comment, with the latest technologies, is that DDoS is more powerful and dangerous than ever.
A recent pro-Russian hacking group is targeting the critical cybersecurity infrastructure through DDoS attacks, making it extremely difficult to handle as the group is using the most complex and advanced cybercriminal strategies. The wide range of industries is struggling to make their system strong enough to deal with these attacks and create a vigilant and constant cybersecurity system.
With the malicious traffic, the DDoS usually cripples the website’s infrastructure, causing serious financial as well as reputational issues. Unlike the ransomware attacks, usually, the aim behind DDoS is not just for financial greed, but they also demand more than this: reputation and blackmail.
The reports and analysis show the surprising data for the last half-year of 2024. In this time, almost 9 million DDoS attacks are being reported, and this is more than 12.75% as compared to the last six months. A significant increase is seen in Israel, with the increase in 2,844% DDoS attacks. This is dangerous because 519 attacks in a day were also reported.
Usually, the cyberattacker focuses on the governments of the critical countries like the UK, Spain, and, in some cases, Belgium. The 1,489% increase in Georgia is also a noticeable issue leading to the Russia Bill attack, where DDoS is used as a political weapon.
Richard Hummel, director of threat intelligence at NETSCOUT, said about the problem:
DDoS has emerged as the go-to tool for cyberwarfare. NoName057(16) continues to be the leading actor for politically motivated DDoS campaigns targeting governments, infrastructure, and organizations. In 2024, they repeatedly targeted government services in the United Kingdom, Belgium, and Spain
How is AI Helping to Deal with DDoS
Among the advanced technologies helping the cybercriminals in their mission, artificial intelligence is the most advanced, making the attacking paths more effortless. Yet, to deal with the AI-driven attacks, the weapon is also AI.
These techniques, particularly artificial intelligence, make the system secure, smooth, and more efficient; therefore, hundreds of customers contact Weborik Hub for their remarkable service of AI integration in web solutions.
The AI responds to and analyzes the system and predicts any attack before it happens. The automated attack orchestration automates the DDoS control. The machine learning algorithm continuously evaluates every part of the network, adopting a real-time strategy to avoid any issues.
Moreover, the machine learning algorithms can check for traffic from every source. These models are trained to differentiate between the real and fake traffic patterns; therefore, they can recognize the issue before it happens.
