TSV-based PUF circuit for 3DIC sensor nodes in IoT applications

2015 ◽  
Author(s):  
Chao Wang ◽  
Jun Zhou ◽  
Katti Guruprasad ◽  
Xin Liu ◽  
Roshan Weerasekera ◽  
...  
Keyword(s):  
Sensor Nodes ◽  
Iot Applications

DAM: A Theoretical Framework for SensorSecurity in IoT Applications

2021 ◽  
Vol 12 (3) ◽  
Author(s):  
Bisma Gulzar ◽  
Ankur Gupta
Keyword(s):  
Theoretical Framework ◽  
Sensor Nodes ◽  
Security Threats ◽  
Security Vulnerabilities ◽  
Iot Applications ◽  
Potential Impact ◽  
Multiple Domains ◽  
Sensor Security ◽  
Incorrect Data

As IoT applications are pervasively deployed across multiple domains, the potential impact of their security vulnerabilities are also accentuated. Sensor nodes represent a critical security vulnerability in the IoT ecosystem as they are exposed to the environment and accessible to hackers. When compromised or manipulated, sensor nodes can transmit incorrect data which can have a damaging impact on the overall operation and effectiveness of the system. Researchers have addressed the security vulnerabilities in sensor nodes with several mechanisms being proposed to address them. This paper presents DAM (Detect, Avoid, Mitigate), a theoretical framework to evaluate the security threats and solutions for sensor security in IoT applications and deployments. The framework leads to the classification of sensor security threats and categorization of available solutions which can be used to either detect vulnerabilities and attacks, recover from them or completely avoid them. The proposed framework will be useful for evaluating sensor security in real-world IoT deployments in terms of potential threats and designing possible solution

scholarly journals In-Network Data Processing in Software-Defined IoT with a Programmable Data Plane

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Ki-Wook Kim ◽  
Sung-Gi Min ◽  
Youn-Hee Han
Keyword(s):  
Data Processing ◽  
Data Aggregation ◽  
Sensor Nodes ◽  
Network Data ◽  
Packet Forwarding ◽  
Processing Scheme ◽  
Sensing Data ◽  
Iot Applications ◽  
Proposed Model ◽  
Data Plane

Making an SDN data plane flexible enough to satisfy the various requirements of heterogeneous IoT applications is very desirable in terms of software-defined IoT (SD-IoT) networking. Network devices with a programmable data plane provide an ability to dynamically add new packet- and data-processing procedures to IoT applications. The previously proposed solutions for the addition of the programmability feature to the SDN data plane provide extensibility for the packet-forwarding operations of new protocols, but IoT applications need a more flexible programmability for in-network data-processing operations (e.g., the sensing-data aggregation from thousands of sensor nodes). Moreover, some IoT models such as OMG DDS, oneM2M, and Eclipse SCADA use the publish-subscribe model that is difficult to represent using the operations of the existing message-centric data-plane models. We introduce a new in-network data-processing scheme for the SD-IoT data plane that defines an event-driven data-processing model that can express a variety of in-network data-processing cases in the SD-IoT environment. Also, the proposed model comprises a language for the programming of the data-processing procedures, while a flexible data-plane structure that can install and execute the programs at runtime is additionally presented. We demonstrate the flexibility of the proposed scheme by using sample programs in a number of example SD-IoT cases.

scholarly journals A Novel QoS-Oriented Intrusion Detection Mechanism for IoT Applications

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Abdulfattah Noorwali ◽  
Ahmad Naseem Alvi ◽  
Mohammad Zubair Khan ◽  
Muhammad Awais Javed ◽  
Wadii Boulila ◽  
...  
Keyword(s):  
Intrusion Detection ◽  
Duty Cycle ◽  
Ieee 802.15.4 ◽  
Large Data ◽  
Sensor Nodes ◽  
Soft Decision ◽  
Medium Access ◽  
Malicious Nodes ◽  
Detection Mechanism ◽  
Iot Applications

Wireless sensor network (WSN) is an integral part of Internet of Things (IoT). The sensor nodes in WSN generate large sensing data which is disseminated to intelligent servers using multiple wireless networks. This large data is prone to attacks from malicious nodes which become part of the network, and it is difficult to find these adversaries. The work in this paper presents a mechanism to detect adversaries for the IEEE 802.15.4 standard which is a central medium access protocol used in WSN-based IoT applications. The collisions and exhaustion attacks are detected based on a soft decision-based algorithm. In case the QoS of the network is compromised due to large data traffic, the proposed protocol adaptively varies the duty cycle of the IEEE 802.15.4. Simulation results show that the proposed intrusion detection and adaptive duty cycle algorithm improves the energy efficiency of a WSN with a reduced network delay.

scholarly journals Selecting IoT Connectivity Protocols for Rural Development Applications

2021 ◽  
Author(s):  
Vinod Kumar
Keyword(s):  
Energy Efficiency ◽  
Low Cost ◽  
Sensor Nodes ◽  
Node Density ◽  
Iot Applications ◽  
Smart Farming ◽  
Long Life ◽  
Networking Technology ◽  
Development Applications ◽  
Selection Of

Data sensing and collection over vast coverage areas form an integral part of IoT applications such as Smart Farming. Selection of adequate IoT connectivity technologies is an important step in the design process. Overall energy efficiency, availability of low-cost and long-life sensor nodes and achievability of long coverage range of the fixed infrastructure are the main criteria of selection. After a brief description of the scenario of connectivity technologies, this article demonstrates the usefulness of a Low Power Wide Area Networking technology named SigFox for the applications mentioned above. Performance figures in terms of coverage range and protocol throughput (manageable IoT node density) justify this claim.

Energy Optimization in a WSN for IoT Applications

2021 ◽  
pp. 49-63
Author(s):  
Syed Ariz Manzar ◽  
Sindhu Hak Gupta ◽  
Bhavya Alankar
Keyword(s):  
Sensor Node ◽  
Smart Cities ◽  
Average Energy ◽  
Sensor Nodes ◽  
Swarm Optimization ◽  
Iot Applications ◽  
Prime Concern ◽  
Efficient Communication ◽  
City Model ◽  
The Internet Of Things

Energy consumption has become a prime concern in designing wireless sensor networks (WSN) for the internet of things (IoT) applications. Smart cities worldwide are executing exercises to progress greener and safer urban situations with cleaner air and water, better adaptability, and capable open organizations. These exercises are maintained by progresses like IoT and colossal information examination that structure the base for smart city model. The energy required for successfully transmitting a packet from one node to another must be optimized so that the average energy gets reduced for successful transmission over a channel. This chapter has been devised to optimize the energy required for transmitting a packet successfully between two communicating sensor nodes using particle swarm optimization (PSO). In this chapter, the average energy for successfully transmitting a packet from one node to another has been optimized to achieve the optimal energy value for efficient communication over a channel. The power received by the sensor node has also been optimized.

scholarly journals Green Energy Efficient Routing with Deep Learning Based Anomaly Detection for Internet of Things (IoT) Communications

Mathematics ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 500
Author(s):  
E. Laxmi Lydia ◽  
A. Arokiaraj Jovith ◽  
A. Francis Saviour Devaraj ◽  
Changho Seo ◽  
Gyanendra Prasad Joshi
Keyword(s):  
Energy Efficiency ◽  
Internet Of Things ◽  
Anomaly Detection ◽  
Energy Efficient ◽  
Short Term Memory ◽  
Data Communication ◽  
Green Energy ◽  
Sensor Nodes ◽  
Energy Efficient Routing ◽  
Iot Applications

Presently, a green Internet of Things (IoT) based energy aware network plays a significant part in the sensing technology. The development of IoT has a major impact on several application areas such as healthcare, smart city, transportation, etc. The exponential rise in the sensor nodes might result in enhanced energy dissipation. So, the minimization of environmental impact in green media networks is a challenging issue for both researchers and business people. Energy efficiency and security remain crucial in the design of IoT applications. This paper presents a new green energy-efficient routing with DL based anomaly detection (GEER-DLAD) technique for IoT applications. The presented model enables IoT devices to utilize energy effectively in such a way as to increase the network span. The GEER-DLAD technique performs error lossy compression (ELC) technique to lessen the quantity of data communication over the network. In addition, the moth flame swarm optimization (MSO) algorithm is applied for the optimal selection of routes in the network. Besides, DLAD process takes place via the recurrent neural network-long short term memory (RNN-LSTM) model to detect anomalies in the IoT communication networks. A detailed experimental validation process is carried out and the results ensured the betterment of the GEER-DLAD model in terms of energy efficiency and detection performance.

scholarly journals Energy Efficiency Analysis of LoRa and ZigBee Protocols in Wireless Sensor Networks

2021 ◽  
Vol 11 (4) ◽  
pp. 2836-2849
Author(s):  
K. Raghava Rao ◽  
D. Sateesh Kumar ◽  
Mohiddin Shaw ◽  
V. Sitamahalakshmi
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Power Consumption ◽  
Low Power ◽  
Sensor Node ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Wireless Sensor Node ◽  
Wireless Sensor Nodes ◽  
Iot Applications

Now a days IoT technologies are emerging technology with wide range of applications. Wireless sensor networks (WSNs) are plays vital role in IoT technologies. Construction of wireless sensor node with low-power radio link and high-speed processors is an interesting contribution for wireless sensor networks and IoT applications. Most of WSNs are furnished with battery source that has limited lifetime. The maximum operations of these networks require more power utility. Nevertheless, improving network efficiency and lifetime is a curtail issue in WSNs. Designing a low powered wireless sensor networks is a major challenges in recent years, it is essential to model its efficiency and power consumption for different applications. This paper describes power consumption model based on LoRa and Zigbee protocols, allows wireless sensor nodes to monitor and measure power consumption in a cyclic sleeping scenario. Experiential results reveals that the designed LoRa wireless sensor nodes have the potential for real-world IoT application with due consideration of communicating distance, data packets, transmitting speed, and consumes low power as compared with Zigbee sensor nodes. The measured sleep intervals achieved lower power consumption in LoRa as compared with Zigbee. The uniqueness of this research work lies in the review of wireless sensor node optimization and power consumption of these two wireless sensor networks for IoT applications.

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