Securing MEMS Based Sensor Nodes in the Internet of Things

Tahir, Hasan; Tahir, Ruhma; McDonald-Maier, Klaus

doi:10.1109/est.2015.8

Cited by 7 publications

(5 citation statements)

References 12 publications

(11 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…If � x represents the mean, x represents a specific number of readings extracted from the accelerometer and gyroscope, while n represents a total number of readings [19].…”

Section: Plos Onementioning

confidence: 99%

See 1 more Smart Citation

A hybrid security system for drones based on ICMetric technology

et al. 2023

View full text Add to dashboard Cite

Recently, the number of drones has increased, and drones’ illegal and malicious use has become prevalent. The dangerous and wasteful effects are substantial, and the probability of attacks is very high. Therefore, an anomaly detection and protection system are needed. This paper aims to design and implement an intelligent anomaly detection system for the security of unmanned aerial vehicles (UAVs)/drones. The proposed system is heavily based on utilizing ICMetric technology to exploit low-level device features for detection. This technology extracts the accelerometer and gyroscope sensors’ bias to create a unique number known as the ICMetric number. Hence, ICMetric numbers represent additional features integrated into the dataset used to detect drones. This study performs the classification using a deep neural network (DNN). The experimental results prove that the proposed system achieves high levels of detection and performance metrics.

show abstract

“…If � x represents the mean, x represents a specific number of readings extracted from the accelerometer and gyroscope, while n represents a total number of readings [19].…”

Section: Plos Onementioning

confidence: 99%

“…According to Table 4, higher rates of accuracy were achieved. Moreover, a higher rate of accuracy proved the result of using a balanced dataset achieved by a trusted source in [19]. In addition, ICMetric numbers are generated by a simple mathematical model and integrated with the dataset, resulting in a high accuracy rate.…”

Section: Plos Onementioning

confidence: 99%

A hybrid security system for drones based on ICMetric technology

et al. 2023

View full text Add to dashboard Cite

show abstract

“…If we assume that ¯ X represents mean, x represents particular sample reading from accelerometer, magnetometer, and gyroscope, and n is total number of reading, then [7]:…”

Section: Statistical Analysis For Icmetricsmentioning

confidence: 99%

Embedded Devices Security Based on ICMetric Technology

Alheeti¹,

Al_Dosary²,

Al-Rawi³

2020

Service Robotics

View full text Add to dashboard Cite

An intelligent wheelchair application is required which is equipped with the MEMSs which are magnetometer, gyroscope, and accelerometer sensors. The generated process of ICMetrics number is heavily based on magnetometer, gyroscope, and accelerometer sensors. In addition, this number can be utilised to provide the identification of device. Our proposed system passed through three phases. The first phase is bias reading that was extracted from MEMSs (gyroscope, magnetometer, and accelerometers) sensors; whereas, in the second phase, ICMetric number is generated by using the sensor bias readings that was extracted in the first phase. Therefore, this number is non-stored and can be utilised to provide identification of device. In the third phase, the security system is tested/evaluated to measure its effectivity. In other words, it is tested with dataset that was extracted from the trace file of ns-2. In this phase, performance metrics are calculated, which are rate of error, confused metrics, and accuracy.

show abstract

“…They also compared the two technologies to identify which one is more accurate. Tahir et al have presented a security scheme for the networked sensor systems [7]. Their system is based on using the inherent features of a device to generate a secure identity for devices in their environment.…”

Section: Literature Reviewsmentioning

confidence: 99%

Hybrid intrusion detection in connected self-driving vehicles

Alheeti

McDonald-Maier

2016

2016 22nd International Conference on Automation and Computing (ICAC)

Self Cite

View full text Add to dashboard Cite

Emerging self-driving vehicles are vulnerable to different attacks due to the principle and the type of communication systems that are used in these vehicles. These vehicles are increasingly relying on external communication via vehicular ad hoc networks (VANETs). VANETs add new threats to self-driving vehicles that contribute to substantial challenges in autonomous systems. These communication systems render selfdriving vehicles vulnerable to many types of malicious attacks, such as Sybil attacks, Denial of Service (DoS), black hole, grey hole and wormhole attacks. In this paper, we propose an intelligent security system designed to secure external communications for self-driving and semi self-driving cars. The proposed scheme is based on Proportional Overlapping Score (POS) to decrease the number of features found in the Kyoto benchmark dataset. The hybrid detection system relies on the Back Propagation neural networks (BP), to detect a common type of attack in VANETs: Denial-of-Service (DoS). The experimental results show that the proposed BP-IDS is capable of identifying malicious vehicles in self-driving and semi self-driving vehicles.

show abstract

Securing MEMS Based Sensor Nodes in the Internet of Things

Cited by 7 publications

References 12 publications

A hybrid security system for drones based on ICMetric technology

A hybrid security system for drones based on ICMetric technology

Embedded Devices Security Based on ICMetric Technology

Hybrid intrusion detection in connected self-driving vehicles

Contact Info

Product

Resources

About