A Randomized Watermarking Technique for Detecting Malicious Data Injection Attacks in Heterogeneous Wireless Sensor Networks for Internet of Things Applications
Using Internet of Things (IoT) applications has been a growing trend in the last few years. They have been deployed in several areas of life, including secure and sensitive sectors, such as the military and health. In these sectors, sensory data is the main factor in any decision-making process. Thi...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-12-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/18/12/4346 |
| _version_ | 1798003695865036800 |
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| author | Arwa Alromih Mznah Al-Rodhaan Yuan Tian |
| author_facet | Arwa Alromih Mznah Al-Rodhaan Yuan Tian |
| author_sort | Arwa Alromih |
| collection | DOAJ |
| description | Using Internet of Things (IoT) applications has been a growing trend in the last few years. They have been deployed in several areas of life, including secure and sensitive sectors, such as the military and health. In these sectors, sensory data is the main factor in any decision-making process. This introduces the need to ensure the integrity of data. Secure techniques are needed to detect any data injection attempt before catastrophic effects happen. Sensors have limited computational and power resources. This limitation creates a challenge to design a security mechanism that is both secure and energy-efficient. This work presents a Randomized Watermarking Filtering Scheme (RWFS) for IoT applications that provides en-route filtering to remove any injected data at an early stage of the communication. Filtering injected data is based on a watermark that is generated from the original data and embedded directly in random places throughout the packet’s payload. The scheme uses homomorphic encryption techniques to conceal the report’s measurement from any adversary. The advantage of homomorphic encryption is that it allows the data to be aggregated and, thus, decreases the packet’s size. The results of our proposed scheme prove that it improves the security and energy consumption of the system as it mitigates some of the limitations in the existing works. |
| first_indexed | 2024-04-11T12:11:46Z |
| format | Article |
| id | doaj.art-7f3bcf8b3e4a4d8a9bda4f962a906440 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T12:11:46Z |
| publishDate | 2018-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-7f3bcf8b3e4a4d8a9bda4f962a9064402022-12-22T04:24:36ZengMDPI AGSensors1424-82202018-12-011812434610.3390/s18124346s18124346A Randomized Watermarking Technique for Detecting Malicious Data Injection Attacks in Heterogeneous Wireless Sensor Networks for Internet of Things ApplicationsArwa Alromih0Mznah Al-Rodhaan1Yuan Tian2Information Systems Department, King Saud University, Riyadh 12371, Saudi ArabiaComputer Science Department, King Saud University, Riyadh 12371, Saudi ArabiaComputer Science Department, King Saud University, Riyadh 12371, Saudi ArabiaUsing Internet of Things (IoT) applications has been a growing trend in the last few years. They have been deployed in several areas of life, including secure and sensitive sectors, such as the military and health. In these sectors, sensory data is the main factor in any decision-making process. This introduces the need to ensure the integrity of data. Secure techniques are needed to detect any data injection attempt before catastrophic effects happen. Sensors have limited computational and power resources. This limitation creates a challenge to design a security mechanism that is both secure and energy-efficient. This work presents a Randomized Watermarking Filtering Scheme (RWFS) for IoT applications that provides en-route filtering to remove any injected data at an early stage of the communication. Filtering injected data is based on a watermark that is generated from the original data and embedded directly in random places throughout the packet’s payload. The scheme uses homomorphic encryption techniques to conceal the report’s measurement from any adversary. The advantage of homomorphic encryption is that it allows the data to be aggregated and, thus, decreases the packet’s size. The results of our proposed scheme prove that it improves the security and energy consumption of the system as it mitigates some of the limitations in the existing works.https://www.mdpi.com/1424-8220/18/12/4346Internet of Things (IoT)wireless sensor network (WSN)data integritywatermarkdata injection attack |
| spellingShingle | Arwa Alromih Mznah Al-Rodhaan Yuan Tian A Randomized Watermarking Technique for Detecting Malicious Data Injection Attacks in Heterogeneous Wireless Sensor Networks for Internet of Things Applications Sensors Internet of Things (IoT) wireless sensor network (WSN) data integrity watermark data injection attack |
| title | A Randomized Watermarking Technique for Detecting Malicious Data Injection Attacks in Heterogeneous Wireless Sensor Networks for Internet of Things Applications |
| title_full | A Randomized Watermarking Technique for Detecting Malicious Data Injection Attacks in Heterogeneous Wireless Sensor Networks for Internet of Things Applications |
| title_fullStr | A Randomized Watermarking Technique for Detecting Malicious Data Injection Attacks in Heterogeneous Wireless Sensor Networks for Internet of Things Applications |
| title_full_unstemmed | A Randomized Watermarking Technique for Detecting Malicious Data Injection Attacks in Heterogeneous Wireless Sensor Networks for Internet of Things Applications |
| title_short | A Randomized Watermarking Technique for Detecting Malicious Data Injection Attacks in Heterogeneous Wireless Sensor Networks for Internet of Things Applications |
| title_sort | randomized watermarking technique for detecting malicious data injection attacks in heterogeneous wireless sensor networks for internet of things applications |
| topic | Internet of Things (IoT) wireless sensor network (WSN) data integrity watermark data injection attack |
| url | https://www.mdpi.com/1424-8220/18/12/4346 |
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