A Randomized Watermarking Technique for Detecting Malicious Data Injection Attacks in Heterogeneous Wireless Sensor Networks for Internet of Things Applications

Alromih, Arwa; Al-Rodhaan, Mznah; Tian, Yuan

doi:10.3390/s18124346

Cited by 24 publications

(14 citation statements)

References 36 publications

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“…To prevent an attacker node from modifying its key, the BS uses a homomorphic private-key encryption scheme using the network key (K n ) generated in the BS. Compared to other encryption algorithms, which are usually expensive and complex to compute, Homomorphic encryption is a very lightweight encryption algorithm that can be used in WSN without reducing network life time [31]. In addition, homomorphic encryption allows the IDs to be aggregated easily into the data while preserving the data property [32].…”

Section: A Initialisation Phasementioning

confidence: 99%

Efficient and Secure Data Transmission and Sinkhole Detection in a Multi-Clustering Wireless Sensor Network Based on Homomorphic Encryption and Watermarking

Babaeer

Al-Ahmadi

2020

IEEE Access

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In a wireless sensor network, the sensors periodically transmit sensed data from a specific environment to a centralized station by wireless communication. Deployment in an open environment leads to the potential of security attacks. A sinkhole attack is a destructive attack aimed at the network layer, where the sinkhole node attracts other nodes by advertising itself as the best path to the base station. Subsequently receiving other sensor node packets and compromising network security. Hence, this work proposes a lightweight, secure method based on the Threshold Sensitive Energy Efficient Sensor Network protocol and watermarking techniques to ensure data integrity during transmission. The homomorphic encryption used in this scheme is to provide fast and efficient and consumes less energy while identifying sensor nodes for the purpose of sinkhole detection and prevention. The proposed work has been evaluated using OMNET++ simulation environment to measure the proposed work performance in the following metrics: delay, packet delivery ratio, throughput, and average energy consumption. Compared with previous works, the proposed work shows better results in these metrics. In addition, the proposed scheme consumes less energy compared with similar works due to the use of lightweight watermarking and authentication techniques. The results show that the proposed scheme enhances security by detecting the sinkhole attacker node before the attack is even activated. In addition, the proposed method ensures the integrity and authenticity of the sensed data while transmitting them from the sensor node until receiving it in the base station, and it can detect any tampering of the data.

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Section: A Initialisation Phasementioning

confidence: 99%

Efficient and Secure Data Transmission and Sinkhole Detection in a Multi-Clustering Wireless Sensor Network Based on Homomorphic Encryption and Watermarking

Babaeer

Al-Ahmadi

2020

IEEE Access

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“…1525 eliminate malicious data. Homomorphic encryption technique is used to reduce the packet size so that good security can be achieved using less power [16]. a) Tag Cloning In IoT each RFID tag being generated is uniquely identifiable and these tags are visible and readable by everyone.…”

Section: Malicious Datamentioning

confidence: 99%

Internet of things: security requirements, attacks and counter measures

Imdad

Jacob

Mahdin

et al. 2020

IJEECS

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Internet of Things (IoT) is a network of connected and communicating nodes. Recent developments in IoT have led to advancements like smart home, industrial IoT and smart healthcare etc. This smart life did bring security challenges along with numerous benefits. Monitoring and control in IoT is done using smart phone and web browsers easily. There are different attacks being launched on IoT layers on daily basis and to ensure system security there are seven basic security requirements which must be met. Here we have used these requirements for classification and subdivided them on the basis of attacks, followed by degree of their severity, affected system components and respective countermeasures. This work will not only give guidelines regarding detection and removal of attacks but will also highlight the impact of these attacks on system, which will be a decision point to safeguard system from high impact attacks on priority basis.

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“…Watermark bits are randomly placed (using the random generator) in the data header and then extracted and compared to find the integrity. In [ 24 ], Alromih et al proposed a Randomized watermarking filtering scheme (RWFS) for IoT applications. The watermark is randomly embedded into the encrypted data using a pseudo-random generator.…”

Section: Related Workmentioning

confidence: 99%

Radar Data Integrity Verification Using 2D QIM-Based Data Hiding

Changalvala

Fedoruk

Malik

2020

Sensors

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The modern-day vehicle is evolved in a cyber-physical system with internal networks (controller area network (CAN), Ethernet, etc.) connecting hundreds of micro-controllers. From the traditional core vehicle functions, such as vehicle controls, infotainment, and power-train management, to the latest developments, such as advanced driver assistance systems (ADAS) and automated driving features, each one of them uses CAN as their communication network backbone. Automated driving and ADAS features rely on data transferred over the CAN network from multiple sensors mounted on the vehicle. Verifying the integrity of the sensor data is essential for the safety and security of occupants and the proper functionality of these applications. Though the CAN interface ensures reliable data transfer, it lacks basic security features, including message authentication, which makes it vulnerable to a wide array of attacks, including spoofing, replay, DoS, etc. Using traditional cryptography-based methods to verify the integrity of data transmitted over CAN interfaces is expected to increase the computational complexity, latency, and overall cost of the system. In this paper, we propose a light-weight alternative to verify the sensor data’s integrity for vehicle applications that use CAN networks for data transfers. To this end, a framework for 2-dimensional quantization index modulation (2D QIM)-based data hiding is proposed to achieve this goal. Using a typical radar sensor data transmission scenario in an autonomous vehicle application, we analyzed the performance of the proposed framework regarding detecting and localizing the sensor data tampering. The effects of embedding-induced distortion on the applications using the radar data were studied through a sensor fusion algorithm. It was observed that the proposed framework offers the much-needed data integrity verification without compromising on the quality of sensor fusion data and is implemented with low overall design complexity. This proposed framework can also be used on any physical network interface other than CAN, and it offers traceability to in-vehicle data beyond the scope of the in-vehicle applications.

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A Randomized Watermarking Technique for Detecting Malicious Data Injection Attacks in Heterogeneous Wireless Sensor Networks for Internet of Things Applications

Cited by 24 publications

References 36 publications

Efficient and Secure Data Transmission and Sinkhole Detection in a Multi-Clustering Wireless Sensor Network Based on Homomorphic Encryption and Watermarking

Efficient and Secure Data Transmission and Sinkhole Detection in a Multi-Clustering Wireless Sensor Network Based on Homomorphic Encryption and Watermarking

Internet of things: security requirements, attacks and counter measures

Radar Data Integrity Verification Using 2D QIM-Based Data Hiding

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