Sarawak explores reverse deep neural network tech to detect manipulated, false data

9 小时前

Sarawak explores reverse deep neural network tech to detect manipulated, false data

By DayakDaily Team

KUCHING, Nov 2: Sarawak is exploring the potential use of Reverse Deep Neural Network (DNN) technology, which can detect false data by examining the flow of information within a system.

Sarawak Premier Datuk Patinggi Tan Sri Abang Johari Tun Openg said the approach allows examination of data flow to identify information input or output by a machine.

“I read about efforts to find a solution for detecting false data, though I cannot personally verify the accuracy of what I read, but given that artificial intelligence (AI) utilises artificial neural networks, there is currently discussion regarding reverse DNN.

“Through this reverse DNN method, data flow can be inspected to identify data that has been input or outputted by machines. This indicates that there are machines capable of detecting such occurrences,” he said at the Sarawak Information System Sdn Bhd (SAINS) 35th Anniversary Celebration Dinner at Wisma Melayu, here, on Sunday (Nov 1), according to a Sarawak Public Communication Unit (Ukas) report.

Abang Johari said his discussions with the Vice-Chancellor of Universiti Malaysia Sarawak (Unimas) on this technological concept also touched on its principles being analogous to DNA, specifically how it can detect changes or events affecting other DNA strands.

He explained that this emerging technology, which could become available in the future, could help identify false data and improve information security.

“For Sarawak, we are moving in a direction where we must be able to keep pace with technological evolution and potentially even become creators of technology ourselves.

“We cannot simply remain consumers of technology,” he explained.

Meanwhile, he noted that SAINS is developing its own solutions through sovereign artificial intelligence (AI) technology, with a strong emphasis on data protection, particularly for government data and critical information. — DayakDaily

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