Hackers don’t care about the development of artificial intelligence or artificial anti-intelligence; their way is actually to outperform machines. Hackers know one thing very well, although computers are smarter than humans and answer questions faster, that doesn’t mean humans can’t win the rollover battle! Theoretically, humans can think better than robots perception.
Computer hacker vs artificial intelligence, when you hear these two key words rich in science and technology, you may automatically make up a century war in the virtual world. Imagination is worth affirming, but I still want to pour a basin of cold water on you. In fact, the contest between them is about the same as that of primary school students playing lol.
We all know the master of computer Alan Turing. He is known as the “father of computer science” and “father of artificial intelligence”. In the 1950s, he had published two weighty papers, one entitled “Computer Machine and Intelligence” and the other “Can Machines Think? . With the development of neural network technology today, Alan Turing left questions in the last century have been answered, but scientists have not stopped thinking about artificial intelligence
It is well known that robots in the 21st century can have the ability to think, and now a topic is being hotly debated in AI circles – “Can machines think better than humans?” The answer to this question, when asked rhetorically, is obvious.
“Can humans think better than robots?” Of course!
“At the moment, no AI can simulate the most basic hacking skills,” says Eric S. Raymond, a master programmer and open-source software advocate. “Will AI be able to simulate hacking in the future? We don’t know yet. Right now, we can’t predict what capabilities an AI will have in the next ten, twenty, or fifty years, just like no one will tell you with a straight face that he/she can fool you.”
If you ask the question of AI hacking skills in the white hat hacking community, then the above quote may be the answer, but of course, the answer may be harsh. However, in the world of binary there is no trash talk, and frankly, AI may not be able to handle even the most basic hacking procedures.
To understand why this is the case, you must first understand how a “good hacker” is made.
Jon Erickson is a code-breaking expert and security specialist based in Northern California, USA. He believes that there are five basic skills you must have to be a successful hacker.
Assembly language skills.
The ability to debug or troubleshoot programs.
the ability to reverse engineer.
and research skills.
Programming: Programming is, frankly, writing code in order to develop executable computer programs.
Assembly language: Assembly language is a low-level language used in electronic computers, microprocessors, microcontrollers, or other programmable devices, also known as a symbolic language. In different devices, assembly language corresponds to different sets of machine language instructions that are converted through the assembly process into machine instructions that cannot be translated by humans. These instruction sets give hackers access to the CPU architecture, but do more to let them know what the computer is doing than to command the computer to do something.
Debugging a program or troubleshooting a program: Debugging debugging or troubleshooting is really a process of cleaning up a program. “Understanding how to use a low-level debugger allows hackers to explore and check what happens when a program is executed,” Erickson said, “and using a debugger is one of the best ways to do that because it allows them to see how the program actually interacts when it is executed. ”
Reverse engineering: “Basically, reverse engineering can figure out exactly what a program is doing, you just have to look at the machine instructions or look at what data the program is repeatedly sending,” Erickson continued, “Sometimes just looking at a router firmware image or closed source software Sometimes just looking at a router firmware image or closed source software is enough for a hacker to find a backdoor or a vulnerability in the code and get away with it. Why is it so easy? Because you don’t even have to look at the machine instructions anymore.”
Research: “In the hacking world, you need to keep digging and exploring to stay on top of things,” Erickson explains, “but that doesn’t mean some older techniques aren’t worth learning. As an example, matchmaking-based overflow vulnerabilities have been around for about half a century or so, but even now, they’re still being used by many hackers.”
Can artificial intelligence possess all of these qualities?
In fact, the vast majority can. In today’s AI programs, programming features have been implemented and programming languages have been mastered even more. Compared to humans, robots can handle reverse engineering more easily and are even slightly better at debugging programs or troubleshooting.
See here, you may be worried about artificial intelligence beyond the human. In fact, artificial intelligence has a hard-on – not good at research. Artificial intelligence may master a set of information categories, and even some artificial intelligence also has a built-in self-creativity to try a variety of different graphical methods, or change a variety of conditions that may cause the machine to “panic”, but humans have the ability to self-adjust, can not use the process and get results, the machine can not really do this. Machines can only adapt to the conditioned reflexes, because they do not have the initiative. Here you should react, why some systems can successfully stop artificial intelligence machine hackers, but take the real human hackers can do nothing? After all, robots lack of spirituality, the king of invention Edison also said that success depends on the 1% inspiration, right?
“To replicate human creativity, if machines really have that ability, then it’s absolutely incredible and definitely outside of human cognitive understanding at this point,” said Alex Rice, founder and CTO of HackerOne, a cybersecurity company. “But the best hackers that I know in hacker circles actually have a strong belief that they absolutely believe that anything is possible.”
Rice thinks he’ll start to get worried when the machine also demonstrates a strong belief. However, machines are not self-aware, at least not yet.
Finally hackers are increasingly using AI vulnerabilities to build “counter samples” to evade attacks, and the current response is mainly to use game theory or probability models to predict attack strategies to build more robust security systems. As artificial intelligence matures hackers will not disappear.