Design and evaluation of resilient infrastructures systems for smart cities

Pacheco, Jesús; Tunc, Cihan; Hariri, Salim

doi:10.1109/isc2.2016.7580756

Cited by 16 publications

(8 citation statements)

References 15 publications

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“…In MTD, replication, diversity and random shuffling techniques are implemented to change the execution environment. The MTD approach can be generalized in order to create robust smart city services [17]. The robust practice uses significant elements at the level of resilient command and control applications as well as resilient communication services.…”

Section: B Moving Target Defensementioning

confidence: 99%

Effective Wireless Communication Architecture for Resisting Jamming Attacks

et al. 2020

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Over time, the use of wireless technologies has significantly increased due to bandwidth improvements, cost-effectiveness, and ease of deployment. Owing to the ease of access to the communication medium, wireless communications and technologies are inherently vulnerable to attacks. These attacks include brute force attacks such as jamming attacks and those that target the communication protocol (Wi-Fi and Bluetooth protocols). Thus, there is a need to make wireless communication resilient and secure against attacks. Existing wireless protocols and applications have attempted to address the need to improve systems security as well as privacy. They have been highly effective in addressing privacy issues, but ineffective in addressing security threats like jamming and session hijacking attacks and other types of Denial of Service Attacks. In this paper, we present an "architecture for resilient wireless communications" based on the concept of Moving Target Defense. To increase the difficulty of launching successful attacks and achieve resilient operation, we changed the runtime characteristics of wireless links, such as the modulation type, network address, packet size, and channel operating frequency. The architecture reduces the overhead resulting from changing channel configurations using two communication channels, in which one is used for communication, while the other acts as a standby channel. A prototype was built using Software Defined Radio to test the performance of the architecture. Experimental evaluations showed that the approach was resilient against jamming attacks. We also present a mathematical analysis to demonstrate the difficulty of performing a successful attack against our proposed architecture.

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Section: B Moving Target Defensementioning

confidence: 99%

Effective Wireless Communication Architecture for Resisting Jamming Attacks

et al. 2020

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“…A resilient architecture that protects smart cities' communications, controls, and computations based on autonomic computing and Moving Target Defense (MTD) techniques was proposed in [3]. The key idea was to make it extremely difficult for the attackers to figure out the current active execution environments used to run smart city services by randomizing the use of these resources at runtime.…”

Section: Smart Citymentioning

confidence: 99%

A Cognitive Framework to Secure Smart Cities

et al. 2018

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The advancement in technology has transformed Cyber Physical Systems and their interface with IoT into a more sophisticated and challenging paradigm. As a result, vulnerabilities and potential attacks manifest themselves considerably more than before, forcing researchers to rethink the conventional strategies that are currently in place to secure such physical systems. This manuscript studies the complex interweaving of sensor networks and physical systems and suggests a foundational innovation in the field. In sharp contrast with the existing IDS and IPS solutions, in this paper, a preventive and proactive method is employed to stay ahead of attacks by constantly monitoring network data patterns and identifying threats that are imminent. Here, by capitalizing on the significant progress in processing power (e.g. petascale computing) and storage capacity of computer systems, we propose a deep learning approach to predict and identify various security breaches that are about to occur. The learning process takes place by collecting a large number of files of different types and running tests on them to classify them as benign or malicious. The prediction model obtained as such can then be used to identify attacks. Our project articulates a new framework for interactions between physical systems and sensor networks, where malicious packets are repeatedly learned over time while the system continually operates with respect to imperfect security mechanisms.

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“…The elements to control (actuators) are lights, ventilators, door, and electric sockets. Our testbed is also equipped with several control units such as Arduino UNO, BACNet controller, and NI CompactRIO . The monitor and control tasks can be performed locally by accessing our secure gateway and remotely by using fog or cloud services.…”

Section: Iot Security Framework For Smart Infrastructuresmentioning

confidence: 99%

“…The elements to control (actuators) are lights, ventilators, door, and electric sockets. Our testbed is also equipped 25 The monitor and control tasks can be performed locally by accessing our secure gateway and remotely by using fog or cloud services. The SBT will enable us to experiment with and evaluate different security mechanisms and resilient algorithms and study their impacts on normal SB services.…”

Section: Smart Building Testbedmentioning

confidence: 99%

Anomaly behavior analysis for IoT sensors

Pacheco

Hariri

2017

Trans Emerging Tel Tech

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The Internet of Things (IoT) will not only connect computers and mobile devices but also interconnect smart buildings, homes, and cities, as well as electrical grids, gas, and water networks, automobiles, airplanes, etc. IoT will lead to the development of a wide range of advanced information services that need to be processed in real time and require large storage and computational power. The integration of IoT with fog and cloud computing not only brings the computational requirements but also enables IoT services to be pervasive, cost‐effective, and accessible from anywhere and at anytime. In any IoT application, sensors are indispensable to bring the physical world into the digital world that can be implemented by leveraging fog computing. However, IoT sensors will introduce major security challenges as they contribute to a significant increase in the IoT attack surface. In this paper, we present a methodology to develop an intrusion detection system on the basis of anomaly behavior analysis to detect when a sensor has been compromised and used to provide misinformation. Our preliminary experimental results show that our approach can accurately authenticate sensors on the basis of their behavior and can detect known and unknown sensor attacks with high detection rate and low false alarms.

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Design and evaluation of resilient infrastructures systems for smart cities

Cited by 16 publications

References 15 publications

Effective Wireless Communication Architecture for Resisting Jamming Attacks

Effective Wireless Communication Architecture for Resisting Jamming Attacks

A Cognitive Framework to Secure Smart Cities

Anomaly behavior analysis for IoT sensors

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