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International Scientific Journal of Contemporary Research in

Engineering Science and Management

|ISSN Approved Journal | Impact factor: 7.521 | Follows UGC CARE Journal Norms and Guidelines|
|Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal|Impact
factor 7.521 (Calculated by Google Scholar and Semantic Scholar| AI-Powered Research Tool| Indexing)
in all Major Database & Metadata, Citation Generator

Abstract

Towards Detection and Attribution of Cyber- Attacks in IOT- Enabled Cyber - Physical Systems

Ms.CH.SANDHYA, BATHULA VEEKSHITHA, BUYYA DINESH GOUD, GUNDRATHI THANUJA, BHUSHANI SAKETH REDDY

Abstract

The growth of Internet of Things (IoT) devices inside cyber-physical systems has brought in opportunities for technical improvements that are both encouraging and unprecedented in terms of the difficulties they provide to cybersecurity. This project intends to address the fundamental difficulties that are associated with the detection and attribution of cyberattacks within cyber-physical systems that are enabled by the Internet of Things (IoT). Increasing the capabilities of real-time detection is the key goal, and the primary objective focuses around the development and implementation of advanced algorithms and security protocols. In order to accomplish this, it is necessary to develop robust algorithms that are able to quickly recognize anomalies and potential dangers within the complex and interconnected landscape of Internet of Things environments. Additionally, the initiative will also investigate attribution, with the goal of identifying the origins of cyberattacks as we

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