Title

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

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

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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