SEF4CPSIoT Software Engineering Framework for Cyber-Physical and IoT Systems

Cyber-physical systems (CPS) have emerged to address the need for more efficient integration of modern advancement in cyber and wireless communications technologies such as 5G with physical objects. In addition, CPSs systems also needed to efficient control of security and privacy when we compare them with internet of things (IoT). In recent years, we experienced lack of security concerns with smart home IoT applications such as home security camera, etc. Therefore, this paper proposes a systematic software engineering framework for CPS and IoT systems. This paper also proposed a comprehensive requirements engineering framework for CPS-IoT applications which can also be specified using BPMN modelling and simulation to verify and validate CPS-IoT requirements with smart contracts. In this context, one of the key contribution of this paper is the innovative and generic requirements classification model for CPS-IoT application services, and this can also be applied to other emerging technologies such as fog, edge, cloud, and blockchain computing.

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Software Engineering for Smart Cyber-Physical Systems

ACM SIGSOFT Software Engineering Notes ◽

10.1145/3282517.3282542 ◽

2019 ◽

Vol 43 (4) ◽

pp. 54-54

Author(s):

Tomas Bures ◽

Danny Weyns ◽

Bradley Schmerl ◽

John Fitzgerald

Keyword(s):

Software Engineering ◽

Cyber Physical Systems ◽

Physical Systems

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Networking Cyber-Physical Systems: Algorithm Fundamentals of Security and Privacy for Next-Generation Wireless Networks

Wireless Networks - Security and Privacy for Next-Generation Wireless Networks ◽

10.1007/978-3-030-01150-5_2 ◽

2018 ◽

pp. 33-48

Author(s):

Sheng Zhong ◽

Hong Zhong ◽

Xinyi Huang ◽

Panlong Yang ◽

Jin Shi ◽

...

Keyword(s):

Wireless Networks ◽

Cyber Physical Systems ◽

Security And Privacy ◽

Next Generation ◽

Physical Systems ◽

Next Generation Wireless Networks

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Security and Privacy in Big Data Cyber-Physical Systems

Cybersecurity and Privacy in Cyber-Physical Systems ◽

10.1201/9780429263897-11 ◽

2019 ◽

pp. 217-249

Author(s):

L. Josephine Usha ◽

J. Jesu Vedha Nayahi

Keyword(s):

Big Data ◽

Cyber Physical Systems ◽

Security And Privacy ◽

Physical Systems

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A New Software Engineering Undergraduate Program Supporting the Internet of Things (IoT) and Cyber-Physical Systems (CPS)

10.18260/p.26192 ◽

2016 ◽

Cited By ~ 3

Author(s):

Linda Laird ◽

Nicholas Bowen

Keyword(s):

Software Engineering ◽

Internet Of Things ◽

Cyber Physical Systems ◽

The Internet ◽

Undergraduate Program ◽

Physical Systems ◽

The Internet Of Things

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Detecting Intrusions in Cyber-Physical Systems of Smart Cities

Secure Cyber-Physical Systems for Smart Cities - Advances in Computer and Electrical Engineering ◽

10.4018/978-1-5225-7189-6.ch004 ◽

2019 ◽

pp. 74-102 ◽

Cited By ~ 2

Author(s):

Ismail Butun ◽

Patrik Österberg

Keyword(s):

Anomaly Detection ◽

Smart Cities ◽

Cyber Physical Systems ◽

Security And Privacy ◽

Security Vulnerabilities ◽

Physical Systems ◽

Detection Systems ◽

Comprehensive Survey ◽

Privacy Violation ◽

Detection Schemes

Interfacing the smart cities with cyber-physical systems (CPSs) improves cyber infrastructures while introducing security vulnerabilities that may lead to severe problems such as system failure, privacy violation, and/or issues related to data integrity if security and privacy are not addressed properly. In order for the CPSs of smart cities to be designed with proactive intelligence against such vulnerabilities, anomaly detection approaches need to be employed. This chapter will provide a brief overview of the security vulnerabilities in CPSs of smart cities. Following a thorough discussion on the applicability of conventional anomaly detection schemes in CPSs of smart cities, possible adoption of distributed anomaly detection systems by CPSs of smart cities will be discussed along with a comprehensive survey of the state of the art. The chapter will discuss challenges in tailoring appropriate anomaly detection schemes for CPSs of smart cities and provide insights into future directions for the researchers working in this field.

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