{"title":"QBaN: Quantum Bacterial Nanonetworks for Secure Molecular Communication","authors":"Nabiul Islam;Saswati Pal;Sudip Misra","doi":"10.1109/TMBMC.2024.3476192","DOIUrl":null,"url":null,"abstract":"Bacterial networks-based novel healthcare applications integrated with the Internet of Bio-Nano Things (IoBNT) have been on the rise, particularly due to their high efficacy in delivering drugs at targeted sites. Nevertheless, these networks are vulnerable to various cyber security risks such as unauthorized access, data tampering, and malicious attacks from internal and external intruders. By leveraging the property of quantum entanglement, we propose a security protocol, QBaN, to detect and thwart security breaches posed by intruders and securely send the information to the intended receiver. We use the von Neumann entropy metric to detect changes in the entangled quantum states. We evaluate the QBaN’s capability of detecting eavesdropping events by varying threshold values. Simulation results demonstrate the protocol’s efficacy in intrusion detection with an AUC of 0.78 on the ROC curve. The energy consumption for quantum entanglement is approximately 66.82% and 98.86% less than that for the bacterial propagation and DNA replication, respectively.","PeriodicalId":36530,"journal":{"name":"IEEE Transactions on Molecular, Biological, and Multi-Scale Communications","volume":"10 4","pages":"633-641"},"PeriodicalIF":2.4000,"publicationDate":"2024-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Molecular, Biological, and Multi-Scale Communications","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10707359/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Bacterial networks-based novel healthcare applications integrated with the Internet of Bio-Nano Things (IoBNT) have been on the rise, particularly due to their high efficacy in delivering drugs at targeted sites. Nevertheless, these networks are vulnerable to various cyber security risks such as unauthorized access, data tampering, and malicious attacks from internal and external intruders. By leveraging the property of quantum entanglement, we propose a security protocol, QBaN, to detect and thwart security breaches posed by intruders and securely send the information to the intended receiver. We use the von Neumann entropy metric to detect changes in the entangled quantum states. We evaluate the QBaN’s capability of detecting eavesdropping events by varying threshold values. Simulation results demonstrate the protocol’s efficacy in intrusion detection with an AUC of 0.78 on the ROC curve. The energy consumption for quantum entanglement is approximately 66.82% and 98.86% less than that for the bacterial propagation and DNA replication, respectively.
期刊介绍:
As a result of recent advances in MEMS/NEMS and systems biology, as well as the emergence of synthetic bacteria and lab/process-on-a-chip techniques, it is now possible to design chemical “circuits”, custom organisms, micro/nanoscale swarms of devices, and a host of other new systems. This success opens up a new frontier for interdisciplinary communications techniques using chemistry, biology, and other principles that have not been considered in the communications literature. The IEEE Transactions on Molecular, Biological, and Multi-Scale Communications (T-MBMSC) is devoted to the principles, design, and analysis of communication systems that use physics beyond classical electromagnetism. This includes molecular, quantum, and other physical, chemical and biological techniques; as well as new communication techniques at small scales or across multiple scales (e.g., nano to micro to macro; note that strictly nanoscale systems, 1-100 nm, are outside the scope of this journal). Original research articles on one or more of the following topics are within scope: mathematical modeling, information/communication and network theoretic analysis, standardization and industrial applications, and analytical or experimental studies on communication processes or networks in biology. Contributions on related topics may also be considered for publication. Contributions from researchers outside the IEEE’s typical audience are encouraged.