So in my previous article on quantum computing, we talked about where we are today, and where we are headed in regards to breakthroughs in the technology as well as touching on some basics of “what is quantum computing“. In this article, I explore what quantum cryptography and cryptography is like in a post-quantum world.
So, a refresher: quantum computing is set to transform cryptography due to the revolutionary, non-deterministic way of operating.
How will they affect existing cryptography algorithms and which options do we know today for doing cryptography in a post-quantum world?
For as long as it has been in development inside the science labs of the universities, corporations and government agencies, quantum computing has been considered the next frontier in cybersecurity. Quantum computers are machines that do not work with classical electrical on and off-states but instead rely on quantum states that can be in several states at once, a circumstance known as „superposition(1)“. While they are still in their very infancy, their capabilities have been mystified over and over and it’s probably fair to say that quantum computing is one of the most misunderstood technological advancements of our day and age.
Within the ongoing arms race in the perimeter of information security, artificial intelligence and machine learning are two of the most promising innovations.
While AI in common „personal assistants“, like those developed by Amazon, Alibaba and Google has recently reached levels at which it can convincingly make phone calls on behalf of their users, the capabilities of AI in the hands of defenders, as well as attackers, will likely evolve from buzzword to technology of significant importance over the next years.
On the defensive side, artificial intelligence powered intrusion detection will deliver the ability to pick up on anomalies within an organizations network or perimeters and raise alerts or even countermeasures much quicker than would be possible for any human security team. AI technologies supreme and literally superhumanly quick pattern recognition capabilities enable it to consistently collect intelligence regarding new threats, attempted attacks, acceptable user behaviour and constantly evolve its knowledge. This does allow AI-powered intrusion detection mechanism to find the proverbial needle in the haystack (and react to it) much faster and more concise than classical signature-based intrusion detection systems or a human security analyst.
This does have a flip-side, of course: The same AI capabilities could be used to learn about specific defences and normal user behaviour pattern in an organization and mask the malicious behaviour so it will not be recognized by classical intrusion detection systems or human onlookers.