Mikko Hyppönen, Chief Research Officer at Sensofusion, said cybersecurity principles used to detect malware are now being applied to counter drone threats. He presented the concept during a cybersecurity conference, comparing threat detection to pattern recognition systems used in both software and radio signals.

From Early Viruses To A Beacon In Malware Defense

Hyppönen began his career in the late 1980s, when computer threats were primarily spread through floppy disks and categorized as viruses or trojans. Early work included analyzing malware samples and reverse engineering software protections. During his time at F-Secure, formerly Data Fellows, he examined thousands of malware variants as threats evolved. Incidents such as the ILOVEYOU virus, which infected more than 10 million systems, marked a shift toward large-scale attacks.

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Modern Cybersecurity And The New Era Of Drone Warfare

The cybersecurity sector has grown into a global industry valued at approximately $250 billion, with increasing investment in system protection and threat detection. At the same time, new risks have emerged through the use of drones in military and civilian contexts. Hyppönen now focuses on counter-drone technologies at Sensofusion, applying cybersecurity methods to detect and disrupt unmanned aerial systems. Use of drones in conflicts, including the war in Ukraine, has accelerated development in this area.

Counters And Cyberattacks: The Convergence Of Old And New Threats

Detection systems for drones rely on identifying radio frequency patterns, similar to how malware is identified through digital signatures. Analysts use recorded signal data to classify and respond to potential threats. Hyppönen said cyber threats have shifted toward criminal and state-linked activity, requiring continuous adaptation of defense systems. He added that similar approaches are now used to address risks from autonomous aerial technologies.