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\bibitem{antonakakis2017understanding}
Manos Antonakakis, Tim April, Michael Bailey, Matt Bernhard, Elie Bursztein,
  Jaime Cochran, Zakir Durumeric, J~Alex Halderman, Luca Invernizzi, and
  Michalis Kallitsis.
\newblock Understanding the mirai botnet.
\newblock In {\em 26th $\{$USENIX$\}$ security symposium ($\{$USENIX$\}$
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\bibitem{putchala2017deep}
Manoj~Kumar Putchala.
\newblock Deep learning approach for intrusion detection system (ids) in the
  internet of things (iot) network using gated recurrent neural networks (gru).
\newblock {\em Master Thesis}, 2017.

\bibitem{roy2018deep}
Bipraneel Roy and Hon Cheung.
\newblock A deep learning approach for intrusion detection in internet of
  things using bi-directional long short-term memory recurrent neural network.
\newblock In {\em 2018 28th International Telecommunication Networks and
  Applications Conference (ITNAC)}, pages 1--6. IEEE, 2018.

\bibitem{roopak2020intrusion}
Monika Roopak, Gui~Yun Tian, and Jonathon Chambers.
\newblock An intrusion detection system against ddos attacks in iot networks.
\newblock In {\em 2020 10th Annual Computing and Communication Workshop and
  Conference (CCWC)}, pages 0562--0567. IEEE, 2020.

\bibitem{diro2018distributed}
Abebe~Abeshu Diro and Naveen Chilamkurti.
\newblock Distributed attack detection scheme using deep learning approach for
  internet of things.
\newblock {\em Future Generation Computer Systems}, 82:761--768, 2018.

\bibitem{roopak2019deep}
Monika Roopak, Gui~Yun Tian, and Jonathon Chambers.
\newblock Deep learning models for cyber security in iot networks.
\newblock In {\em 2019 IEEE 9th annual computing and communication workshop and
  conference (CCWC)}, pages 0452--0457. IEEE, 2019.

\bibitem{soe2019ddos}
Yan~Naung Soe, Paulus~Insap Santosa, and Rudy Hartanto.
\newblock Ddos attack detection based on simple ann with smote for iot
  environment.
\newblock In {\em 2019 Fourth International Conference on Informatics and
  Computing (ICIC)}, pages 1--5. IEEE, 2019.

\bibitem{otoum2019dl}
Yazan Otoum, Dandan Liu, and Amiya Nayak.
\newblock Dl-ids: a deep learning--based intrusion detection framework for
  securing iot.
\newblock {\em Transactions on Emerging Telecommunications Technologies}, page
  e3803, 2019.

\bibitem{thamilarasu2019towards}
Geethapriya Thamilarasu and Shiven Chawla.
\newblock Towards deep-learning-driven intrusion detection for the internet of
  things.
\newblock {\em Sensors}, 19(9):1977, 2019.

\bibitem{ferrag2019deepcoin}
Mohamed~Amine Ferrag and Leandros Maglaras.
\newblock Deepcoin: A novel deep learning and blockchain-based energy exchange
  framework for smart grids.
\newblock {\em IEEE Transactions on Engineering Management}, 67(4):1285--1297,
  2019.

\bibitem{muna2018identification}
AL-Hawawreh Muna, Nour Moustafa, and Elena Sitnikova.
\newblock Identification of malicious activities in industrial internet of
  things based on deep learning models.
\newblock {\em Journal of information security and applications}, 41:1--11,
  2018.

\bibitem{koroniotis2019towards}
Nickolaos Koroniotis, Nour Moustafa, Elena Sitnikova, and Benjamin Turnbull.
\newblock Towards the development of realistic botnet dataset in the internet
  of things for network forensic analytics: Bot-iot dataset.
\newblock {\em Future Generation Computer Systems}, 100:779--796, 2019.

\bibitem{ge2019deep}
Mengmeng Ge, Xiping Fu, Naeem Syed, Zubair Baig, Gideon Teo, and Antonio
  Robles-Kelly.
\newblock Deep learning-based intrusion detection for iot networks.
\newblock In {\em 2019 IEEE 24th Pacific Rim International Symposium on
  Dependable Computing (PRDC)}, pages 256--25609. IEEE, 2019.

\bibitem{bhatia2016temporal}
Munish Bhatia and Sandeep~K Sood.
\newblock Temporal informative analysis in smart-icu monitoring: M-healthcare
  perspective.
\newblock {\em Journal of medical systems}, 40(8):1--15, 2016.

\bibitem{bhatia2017comprehensive}
Munish Bhatia and Sandeep~K Sood.
\newblock A comprehensive health assessment framework to facilitate
  iot-assisted smart workouts: A predictive healthcare perspective.
\newblock {\em Computers in Industry}, 92:50--66, 2017.

\bibitem{bhatia2019quantum}
Munish Bhatia, Sandeep~K Sood, and Simranpreet Kaur.
\newblock Quantum-based predictive fog scheduler for iot applications.
\newblock {\em Computers in Industry}, 111:51--67, 2019.

\bibitem{bhatia2017game}
Munish Bhatia and Sandeep~K Sood.
\newblock Game theoretic decision making in iot-assisted activity monitoring of
  defence personnel.
\newblock {\em Multimedia Tools and Applications}, 76(21):21911--21935, 2017.

\bibitem{bhatia2019exploring}
Munish Bhatia and Sandeep~K Sood.
\newblock Exploring temporal analytics in fog-cloud architecture for smart
  office healthcare.
\newblock {\em Mobile Networks and Applications}, 24(4):1392--1410, 2019.

\bibitem{bhatia2020cognitive}
Munish Bhatia and Ankush Manocha.
\newblock Cognitive framework of food quality assessment in iot-inspired smart
  restaurants.
\newblock {\em IEEE Internet of Things Journal}, 2020.

\bibitem{bhatia2020fog}
Munish Bhatia, Sandeep~K Sood, and Ankush Manocha.
\newblock Fog-inspired smart home environment for domestic animal healthcare.
\newblock {\em Computer Communications}, 160:521--533, 2020.

\bibitem{bhatia2020internet}
Munish Bhatia, Simranpreet Kaur, Sandeep~K Sood, and Veerawali Behal.
\newblock Internet of things-inspired healthcare system for urine-based
  diabetes prediction.
\newblock {\em Artificial Intelligence in Medicine}, 107:101913, 2020.

\bibitem{bhatia2020quantumized}
Munish Bhatia, Sandeep~K Sood, and Simranpreet Kaur.
\newblock Quantumized approach of load scheduling in fog computing environment
  for iot applications.
\newblock {\em Computing}, pages 1--19, 2020.

\bibitem{thakkar2021review}
Ankit Thakkar and Ritika Lohiya.
\newblock A review on machine learning and deep learning perspectives of ids
  for iot: recent updates, security issues, and challenges.
\newblock {\em Archives of Computational Methods in Engineering},
  28(4):3211--3243, 2021.

\bibitem{mahboub2021smart}
Sara~A Mahboub, Elmustafa Sayed~Ali Ahmed, and Rashid~A Saeed.
\newblock Smart ids and ips for cyber-physical systems.
\newblock In {\em Artificial Intelligence Paradigms for Smart Cyber-Physical
  Systems}, pages 109--136. IGI Global, 2021.

\bibitem{gill2020gtm}
Komal~Singh Gill, Sharad Saxena, and Anju Sharma.
\newblock Gtm-csec: Game theoretic model for cloud security based on ids and
  honeypot.
\newblock {\em Computers \& Security}, 92:101732, 2020.

\bibitem{einy2021anomaly}
Sajad Einy, Cemil Oz, and Yahya~Dorostkar Navaei.
\newblock The anomaly-and signature-based ids for network security using hybrid
  inference systems.
\newblock {\em Mathematical Problems in Engineering}, 2021, 2021.

\bibitem{heal2005ids}
Geoffrey Heal and Howard Kunreuther.
\newblock Ids models of airline security.
\newblock {\em Journal of conflict resolution}, 49(2):201--217, 2005.

\bibitem{sforzin2016rpids}
Alessandro Sforzin, F{\'e}lix~G{\'o}mez M{\'a}rmol, Mauro Conti, and
  Jens-Matthias Bohli.
\newblock Rpids: Raspberry pi ids—a fruitful intrusion detection system for
  iot.
\newblock In {\em 2016 Intl IEEE Conferences on Ubiquitous Intelligence \&
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  World Congress (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld)}, pages 440--448.
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\bibitem{lopez2017network}
Manuel Lopez-Martin, Belen Carro, Antonio Sanchez-Esguevillas, and Jaime
  Lloret.
\newblock Network traffic classifier with convolutional and recurrent neural
  networks for internet of things.
\newblock {\em IEEE Access}, 5:18042--18050, 2017.

\bibitem{bansal2014spider}
Jagdish~Chand Bansal, Harish Sharma, Shimpi~Singh Jadon, and Maurice Clerc.
\newblock Spider monkey optimization algorithm for numerical optimization.
\newblock {\em Memetic computing}, 6(1):31--47, 2014.

\bibitem{aldhaheri2020deepdca}
Sahar Aldhaheri, Daniyal Alghazzawi, Li~Cheng, Bander Alzahrani, and Abdullah
  Al-Barakati.
\newblock Deepdca: novel network-based detection of iot attacks using
  artificial immune system.
\newblock {\em Applied Sciences}, 10(6):1909, 2020.

\end{thebibliography}
