Abstract
Urban surroundings and human quality of life have significantly improved because of smart environments which include transportation, healthcare, smart buildings, public safety, smart parking, traffic systems, smart agriculture and other areas. They are completely capable of controlling the physical objects in real-time and delivering intelligent information to citizens. Technologies for smart cities can compile personal information. However, security and privacy issues may arise at several architectural levels. Therefore, it is crucial to take these security and privacy issues into account while creating and implementing the applications. In addition to discussing the significant issues of privacy and security throughout the development of the applications for smart cities, the article highlights the main applications of smart cities. We have analysed various possible attacks on IoT networks and moved towards Intrusion detection and highlighted the impact of communication technologies like 4G, 5G and 6G on the security and privacy on the IoT environment.
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References
Weber RH (2010) Internet of things-new security and privacy challenges. Comput Law Secur Rev 26(1):23–30
Malliga S, Nandhini PS, Kogilavani SV (2022) A comprehensive review of deep learning techniques for the detection of (distributed) denial of service attacks. Inf Technol Control 51(1):180–215
Maselli G, Piva M, Restuccia F (2020) HyBloSE: hybrid block chain for secure-by-design smart environments. In: Proceedings of the 3rd workshop on cryptocurrencies and block chains for distributed systems (pp 23–28)
Khan Z, Pervez Z, Ghafoor A (2014) Towards cloud based smart cities data security and privacy management. In: 2014 IEEE/ACM 7th International conference on utility and cloud computing. IEEE, pp 806–811
Dorri A, Kanhere SS, Jurdak R, Gauravaram P (2017) Block chain for IoT security and privacy: the case study of a smart home. In: 2017 IEEE international conference on pervasive computing and communications workshops (PerCom workshops). IEEE, pp 618–623
Waheed N, He X, Ikram M, Usman M, Hashmi SS, Usman M (2020) Security and privacy in IoT using machine learning and blockchain: threats and countermeasures. ACM Comput Surv 53(6), Article 122, 37 p. https://doi.org/10.1145/3417987
Ling Z, Liu K, Xu Y, Jin Y, Fu X (2017) An end-to-end view of IoT security and privacy. In: GLOBECOM 2017—2017 IEEE global communications conference, pp 1–7. https://doi.org/10.1109/GLOCOM.2017.8254011
Shakarami M, Benson J, Sandhu R (2022) Blockchain-based administration of access in smart home IoT. In: Proceedings of the 2022 ACM workshop on secure and trustworthy cyber-physical systems, pp 57–66
Barhamgi M, Yang M, Yu CM, Yu Y, Bandara AK, Benslimane D, Nuseibeh B (2017) Enabling end-users to protect their privacy. In: Proceedings of the 2017 ACM on Asia conference on computer and communications security, pp 905–907
Karie NM, Sahri NM, Yang W, Valli C, Kebande VR (2021) A review of security standards and frameworks for IoT-based smart environments. IEEE Access
Kulyk O, Reinheimer B, Aldag L, Mayer P, Gerber N, Volkamer M (2020) Security and privacy awareness in smart environments–a cross-country investigation. In: International conference on financial cryptography and data security. Springer, Cham, pp 84–101
Hajjaji Y, Boulila W, Farah IR, Romdhani I, Hussain A (2021) Big data and IoT-based applications in smart environments: a systematic review. Comput Sci Rev 39:100318
Salim MM, Rathore S, Park JH (2020) Distributed denial of service attacks and its defenses in IoT: a survey. J Supercomput 76(7):5320–5363
Elrawy MF, Awad AI, Hamed HF (2018) Intrusion detection systems for IoT-based smart environments: a survey. J Cloud Comput 7(1):1–20
Granjal J, Monteiro E, Silva JS (2015) Security for the internet of things: a survey of existing protocols and open research issues. IEEE Commun Surv Tutor 17(3):1294–1312
Ahmed E, Yaqoob I, Gani A, Imran M, Guizani M (2016) Internet-of-things-based smart environments: state of the art, taxonomy, and open research challenges. IEEE Wirel Commun 23(5):10–16. https://doi.org/10.1109/MWC.2016.772
Smys S, Basar A, Wang H (2020) Hybrid intrusion detection system for internet of things (IoT). J ISMAC 2(04):190–199
Zarpelão BB, Miani RS, Kawakani CT, de Alvarenga SC (2017) A survey of intrusion detection in Internet of Things. J Netw Comput Appl 84:25–37
Hodo E, Bellekens X, Hamilton A, Dubouilh PL, Iorkyase E, Tachtatzis C, Atkinson R (2016) Threat analysis of IoT networks using artificial neural network intrusion detection system. In: 2016 International symposium on networks, computers and communications (ISNCC). IEEE, pp 1–6
Tabassum A, Erbad A, Guizani M (2019) A survey on recent approaches in intrusion detection system in IoTs. In: 2019 15th international wireless communications & mobile computing conference (IWCMC). IEEE, pp 1190–1197
Ahmed M, Mahmood AN, Hu J (2016) A survey of network anomaly detection techniques. J Netw Comput Appl 60:19–31
Nisioti A, Mylonas A, Yoo PD, Katos V (2018) From intrusion detection to attacker attribution: a comprehensive survey of unsupervised methods. IEEE Commun Surv Tutor 20(4):3369–3388
Bhuyan MH, Bhattacharyya DK, Kalita JK (2013) Network anomaly detection: methods, systems and tools. IEEE Commun Surv Tutor 16(1):303–336
Buczak AL, Guven E (2015) A survey of data mining and machine learning methods for cyber security intrusion detection. IEEE Commun Surv Tutor 18(2):1153–1176
Hande Y, Muddana A (2021) A survey on intrusion detection system for software defined networks (SDN). In: Research anthology on artificial intelligence applications in security. IGI Global, pp 467–489
Haq NF, Onik AR, Hridoy MAK, Rafni M, Shah FM, Farid DM (2015) Application of machine learning approaches in intrusion detection system: a survey. IJARAI-Int J Adv Res Artif Intell 4(3):9–18
Hodo E, Bellekens X, Hamilton A, Tachtatzis C, Atkinson R (2017) Shallow and deep networks intrusion detection system: a taxonomy and survey. ArXiv preprint arXiv 1701:02145
Milenkoski A, Vieira M, Kounev S, Avritzer A, Payne BD (2015) Evaluating computer intrusion detection systems: a survey of common practices. ACM Comput Surv (CSUR) 48(1):1–41
Mishra P, Varadharajan V, Tupakula U, Pilli ES (2018) A detailed investigation and analysis of using machine learning techniques for intrusion detection. IEEE Commun Surv Tutor 21(1):686–728
Ring M, Wunderlich S, Scheuring D, Landes D, Hotho A (2019) A survey of network-based intrusion detection data sets. Comput Secur 86:147–167
Thakkar A, Lohiya R (2020) A review of the advancement in intrusion detection datasets. Proc Comput Sci 167:636–645
Wang L, Jones R (2017) Big data analytics for network intrusion detection: a survey. Int J Netw Commun 7(1):24–31
Yang Z, Liu X, Li T, Wu D, Wang J, Zhao Y, Han H (2022) A systematic literature review of methods and datasets for anomaly-based network intrusion detection. Comput Secur 102675
Singh KJ, Thongam K, De T (2018) Detection and differentiation of application layer DDoS attack from flash events using fuzzy-GA computation. IET Inf Secur 12(6):502–512
Johnson Singh K, Thongam K, De T (2016) Entropy-based application layer DDoS attack detection using artificial neural networks. Entropy 18(10):350
Meitei IL, Singh KJ, De T (2016) Detection of DDoS DNS amplification attack using classification algorithm. In: Proceedings of the international conference on informatics and analytics, pp 1–6
Specht S, Lee R (2003) Taxonomies of distributed denial of service networks, attacks, tools and countermeasures. In: CEL2003–03. Princeton University, Princeton, NJ, USA
Sonar K, Upadhyay H (2014) A survey: DDOS attack on Internet of Things. Int J Eng Res Dev 10(11):58–63
Zargar ST, Joshi J, Tipper D (2013) A survey of defense mechanisms against distributed denial of service (DDoS) flooding attacks. IEEE Commun Surv Tutor 15(4):2046–2069
Zhang C, Green R (2015) Communication security in internet of thing: preventive measure and avoid DDoS attack over IoT network. In: Proceedings of the 18th symposium on communications and networking, pp 8–15
Abdul-Ghani HA, Konstantas D, Mahyoub M (2018) A comprehensive IoT attacks survey based on a building-blocked reference model. Int J Adv Comput Sci Appl 9(3)
Yang Y, Wu L, Yin G, Li L, Zhao H (2017) A survey on security and privacy issues in Internet-of-Things. IEEE Internet Things J 4(5):1250–1258
Vishwakarma R, Jain AK (2020) A survey of DDoS attacking techniques and defence mechanisms in the IoT network. Telecommun Syst 73(1):3–25
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Anand, N., Singh, K.J. (2023). An Overview on Security and Privacy Concerns in IoT-Based Smart Environments. In: Rao, U.P., Alazab, M., Gohil, B.N., Chelliah, P.R. (eds) Security, Privacy and Data Analytics. ISPDA 2022. Lecture Notes in Electrical Engineering, vol 1049. Springer, Singapore. https://doi.org/10.1007/978-981-99-3569-7_21
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