JAKARTA - Over the past year, the world of technology has continued to develop with various innovations and cyberattacks that often haunt.
The computer, internet, and network security company, Kaspersky, monitors or predicts the development of the largest overall cybersecurity situation over the last 12 months.
This is often done by Kaspersky every year as part of the Kaspersky Security Bulletin series to help users and businesses usher in a more secure new year.
Here are Kaspersky's key cybersecurity predictions for the industrial, health, and privacy sectors, as quoted by VOI from its statement, Monday, December 13.
Machine “Unlearning” Will Increase
Modern machine learning can memorize a lot of information about a user's personal behavior. As the government considers a new policy to protect the privacy of citizens, will it also extend to the personal data used to train machine learning models?
If so, then companies and researchers in the future are expected to start developing new technologies, such as "machine unlearning", which will allow them to remove data from trained algorithms.
Correspondingly, governments and users, in general, are calling for greater transparency when it comes to machine learning algorithms. Because such algorithms will increasingly be used for a variety of decision-making, from determining whether or not people qualify for loans to advertisements displayed on users' screens.
But this can lead to privacy issues and even discrimination. In the coming year, the public will be faced with more discussions and policies around an increasingly automated system.
Industrial Organization Attacks Will Continue and Be Harder to Detect
According to Kaspersky's forecast, attacks will continue to disrupt operations and harm businesses in the years to come, and in even more harmless ways.
Cybercriminals are forced to attack more aggressively as governments act to invest in the default operating security and to reduce security risks, financially targeted attacks may emerge, and users and business owners need to adopt more efficient tactics and technologies in responding to attacks against cybercriminals. control their security.
Thus, cybercriminals are now starting to shorten the life cycle of the malware used. Certain malicious samples can be deployed against a very limited set of targets and are only active for a few weeks at their peak effectiveness and then a new build will be released to pass detection. They also limit the use of malicious infrastructure to make it less suspicious.
Research into some recent APT activity suggests that some campaign Command and Control servers may only be active for a few hours during the relevant phase of operations. Some attackers even completely avoid using the malicious infrastructure at the source of the attack.
These are some of the trends that will continue, and most likely, as a result, we will face cyber attacks with greater and more difficult potential threats and dangers to detect.
Digitization in the Health Sector Leads to Danger
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Last year, Kaspersky researchers predicted that, as the pandemic progresses, the health sector will receive the most attention from cybercriminals. This of course proves true, as attackers seek to profit from vaccinations and ransomware that attacks hospitals to the point of endangering the lives of patients.
In the coming year, the attack vector for the healthcare sector will continue to grow, as more patient data moves to the internet and healthcare providers continue to adopt digital care services, such as telehealth.
2021 saw a one and a half times increase in data breaches against the healthcare sector compared to 2019. It is estimated that attackers will be looking for vulnerabilities they can exploit in new wearables and medical applications under development.
Apart from that, they can also create fake apps which users may mistakenly download. Moreover, as different countries set different vaccination rules for traveling and visiting public places, the space for fake digital passports and vaccination certificates will continue to grow.
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