Ransomware 3.0 – A weapon for next generation information warfare
Document Type
Conference Proceeding
Publication Title
International Conference on Cryptology & Network Security with Machine Learning
Publisher
Springer
School
School of Science / ECU Security Research Institute
RAS ID
54551
Abstract
Ransomware 3.0 is an emerging threat where cyber criminals target critical infrastructures and tamper with the data stored in computing devices. Unlike the traditional ransomware and ransomware 2.0 attacks, cyber criminals are more interested in the data stored in the victims devices. The business value of these data from critical enterprise such as government, healthcare, education, defence, utility providers is priceless. Sophisticated state-based cyber actors are more interested to disrupt the critical infrastructures than financial benefits via crypto currency. In addition, such sophisticated cyber actors are also looking for trade secrets and inclined towards gathering confidential information (intelligence). Acting on the misinformation caused by the ransomware attacks will severely affect any critical infrastructure and can play the role of primary weapon in any information warfare in toady’s age. In this paper, the underlying mechanism of ransomware 3.0 is showcased and a potential solution based on the combination of Mobility Markov Chain and Differential Privacy is proposed. To the best of our knowledge, there is no academic paper related to ransomware 3.0 and the corresponding solution. Experimental suggests that the combination of mobility Markov chain and differential privacy has the potential and further research is necessary to develop more robust countermeasures against ransomware 3.0.
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Comments
Ahmed, M., Rashid, A.N.M.B. & Pathan, A.S.K. (2023). Ransomware 3.0 – A weapon for next generation information warfare. In International Conference on Cryptology & Network Security with Machine Learning. Springer. https://link.springer.com/book/9789819922284