Abstract

Studies on crime syndicates have shown the emerging issue of penal offenses that correlate with organized intrusions against IoT-based healthcare systems. However, empirical facts that have exhaustively clarified, formulated, and categorized the investigations and the punishment for organized cyber offenders in the above healthcare systems are inadequate. Accordingly, for intrusions of this sort, some prosecutors may erroneously overemphasize penal sanctions over rehabilitative therapeutic interventions and constructive approaches to help and reshape the organized intruders to conform to social standards and lawful behavior globally expected from people in the usage of and interaction with the IoT-based healthcare systems. Thus, we recruit and interview 46 experts from the IT, social work, mental healthcare, nursing, strategy, and data analytics fields for the survey. Quantitative analysis of certain logs of Snort-IDS on public trace files, clustering, and C++ programming techniques furnish the participants with potential cyber offenses that may correlate with organized intrusions on the above healthcare systems. Subsequent qualitative and thematic analyses of the data identify simple and complex forms of organized cybercrimes on IoT-based healthcare systems. Furthermore, punitive interventions like economic strangulation, detention, and imprisonment statistically correlate with cybercrimes with severe impacts on the victims. Such crimes include organized distributed denial of service (DDoS) attacks, password guessing, and unlawful leakages of healthcare data in the above settings. The study believes that erroneous publication, incorrect presentations, and unlawful sharing of official matters on the above healthcare information via social media, radio, and television statistically correlate to offenses that require corrective therapeutic interventions like temporary isolation, psychotherapy, and occupational and speech therapies.

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