scholarly journals Expressive and Deployable Swarm Intelligence Based Cybersecurity for Wireless Sensor Network

2019 ◽  
pp. 761-770
Author(s):  
I. Govindharajn ◽  
P. Jeeva ◽  
M. Kanimozhi ◽  
S. Kodieswari ◽  
A. Narmadha
Keyword(s):  
Swarm Intelligence ◽  
Cyber Security ◽  
Cyber Physical Systems ◽  
Wireless Sensor ◽  
Grey Wolf Optimizer ◽  
Cyber Attack ◽  
Grey Wolf ◽  
Physical Systems ◽  
Mobile Anchor ◽  
Mobile Anchor Node

Wireless sensor networks (WSNs) play a pivotal role in Cyber Physical Systems (CPSs), particularly for operations such as observing the location and monitoring it. To enhance the cyber security in WSN-enabled CPSs, various researchers have proposed a various category of algorithms, inspired by biological phenomena. These algorithm works on the basis of mobility of head node (Mobile Anchor Node). However, these WSNs mobile anchor node are subject to various types of optimization like Grey wolf optimizer (GWO) and Whale optimization Algorithm (WOA). Complexity is one of the limitation of these algorithm and also it is vulnerable to damage, theft, or destruction of sensitive data, in addition to that interference in services also occur in CPSs. To prevent these cyber-attack, we proposed generic bio-inspired model ie., enhanced Grey wolf optimizer path planning called Swarm Intelligence for WSN Cyber security that addresses drawbacks of prior bio-inspired approaches. In this model WSN enabled Cyber Physical Systems use ID-Based Aggregate Signature Scheme to detect the cyber-attack and keep data integrity

Security of Cyber-Physical Systems: A Generalized Algorithm for Intrusion Detection and Determining Security Robustness of Cyber Physical Systems using Logical Truth Tables

2013 ◽  
Vol 9 ◽  
Author(s):  
Curtis G. Northcutt
Keyword(s):  
Intrusion Detection ◽  
Cyber Security ◽  
Logical Truth ◽  
Cyber Physical Systems ◽  
Security Model ◽  
Security Measures ◽  
Physical Systems ◽  
Multiple Signal ◽  
Security Attack ◽  
Truth Tables

The recent proliferation of embedded cyber components in modern physical systems [1] has generated a variety of new security risks which threaten not only cyberspace, but our physical environment as well. Whereas earlier security threats resided primarily in cyberspace, the increasing marriage of digital technology with mechanical systems in cyber-physical systems (CPS), suggests the need for more advanced generalized CPS security measures. To address this problem, in this paper we consider the first step toward an improved security model: detecting the security attack. Using logical truth tables, we have developed a generalized algorithm for intrusion detection in CPS for systems which can be defined over discrete set of valued states. Additionally, a robustness algorithm is given which determines the level of security of a discrete-valued CPS against varying combinations of multiple signal alterations. These algorithms, when coupled with encryption keys which disallow multiple signal alteration, provide for a generalized security methodology for both cyber-security and cyber-physical systems.

scholarly journals Enabling Cyber Physical Systems with Wireless Sensor Networking Technologies, Multiagent System Paradigm, and Natural Ecosystems

2015 ◽  
Vol 2015 ◽  
pp. 1-15 ◽  
Author(s):  
Nafaâ Jabeur ◽  
Nabil Sahli ◽  
Sherali Zeadally
Keyword(s):  
Cyber Physical Systems ◽  
Wireless Sensor ◽  
Natural Ecosystems ◽  
Distributed Sensors ◽  
Physical Systems ◽  
Structure Topology ◽  
Spatially Distributed ◽  
Engineered Systems ◽  
Networking Technologies ◽  
Living Organisms

Wireless sensor networks (WSNs) are key components in the emergent cyber physical systems (CPSs). They may include hundreds of spatially distributed sensors which interact to solve complex tasks going beyond their individual capabilities. Due to the limited capabilities of sensors, sensor actions cannot meet CPS requirements while controlling and coordinating the operations of physical and engineered systems. To overcome these constraints, we explore the ecosystem metaphor for WSNs with the aim of taking advantage of the efficient adaptation behavior and communication mechanisms of living organisms. By mapping these organisms onto sensors and ecosystems onto WSNs, we highlight shortcomings that prevent WSNs from delivering the capabilities of ecosystems at several levels, including structure, topology, goals, communications, and functions. We then propose an agent-based architecture that migrates complex processing tasks outside the physical sensor network while incorporating missing characteristics of autonomy, intelligence, and context awareness to the WSN. Unlike existing works, we use software agents to map WSNs to natural ecosystems and enhance WSN capabilities to take advantage of bioinspired algorithms. We extend our architecture and propose a new intelligent CPS framework where several control levels are embedded in the physical system, thereby allowing agents to support WSNs technologies in enabling CPSs.

scholarly journals The Study on the Cyber Security Requirements of Cyber-Physical Systems for Cyber Security Frameworks

2012 ◽  
Vol 7 (5) ◽  
pp. 255-265
Author(s):  
Soo-Youl Park ◽  
Wook-Jin Choi ◽  
Bo-Heung Chung ◽  
Jeong-Nyeo Kim ◽  
Joo-Man Kim
Keyword(s):  
Cyber Security ◽  
Cyber Physical Systems ◽  
Security Requirements ◽  
Physical Systems

Adoption of Machine Learning With Adaptive Approach for Securing CPS

2020 ◽  
pp. 388-415
Author(s):  
Rama Mercy Sam Sigamani
Keyword(s):  
Machine Learning ◽  
Cyber Security ◽  
Smart Grids ◽  
False Negative ◽  
False Negative Rate ◽  
Cyber Physical Systems ◽  
Detection Accuracy ◽  
Physical Systems ◽  
Positive Rate ◽  
Iot Devices

The cyber physical system safety and security is the major concern on the incorporated components with interface standards, communication protocols, physical operational characteristics, and real-time sensing. The seamless integration of computational and distributed physical components with intelligent mechanisms increases the adaptability, autonomy, efficiency, functionality, reliability, safety, and usability of cyber-physical systems. In IoT-enabled cyber physical systems, cyber security is an essential challenge due to IoT devices in industrial control systems. Computational intelligence algorithms have been proposed to detect and mitigate the cyber-attacks in cyber physical systems, smart grids, power systems. The various machine learning approaches towards securing CPS is observed based on the performance metrics like detection accuracy, average classification rate, false negative rate, false positive rate, processing time per packet. A unique feature of CPS is considered through structural adaptation which facilitates a self-healing CPS.

Dual Redundant Cyber-Attack Tolerant Control Systems Strategy for Cyber-Physical Systems

2019 ◽  
Author(s):  
Marco A. Gamarra ◽  
Sachin Shetty ◽  
Oscar R. Gonzalez ◽  
Laurent Njilla ◽  
Marcus Pendleton ◽  
...  
Keyword(s):  
Control Systems ◽  
Cyber Physical Systems ◽  
Cyber Attack ◽  
Physical Systems
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