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An Improved Low-Overhead Secure Image Compression over Wireless Multimedia Sensor Network

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Abstract

Due to inherent limitations in processing power, storage, and bandwidth, multimedia data processing is a challenge in wireless multimedia sensor network (WMSN). Also, protection of such data from unauthorized access is of utmost importance. In this work, we consider an existing scheme Secure Image Compression by Column Dropping (SICCD) as baseline which ensures encrypted compression of image. We enrich the baseline by developing a lightweight security extension over the SICCD where in addition to encryption provided by the SICCD, we add the other basic security features like message integrity, sender’s authentication and non-repudiation. In view of the fact that signature based security solutions lack in confirming whether the malicious activity is due to fake sender or due to tampering of message by attacker during transmission, in this scheme, we use both watermarking and signature to mitigate such a problem while ensuring the entire scheme low-overhead. To ensure message integrity, a watermark scheme is proposed which reuses the same key used for encryption in order to reduce additional key generation overhead. A lightweight short digital signature is also designed which is appended to encrypted and watermarked image for sender’s authentication. Performance of the scheme is evaluated through simulation in Cooja, the Contiki network simulator to make it readily implementable in real life mote e.g. MICAz. The results show that the present scheme saves on average 47.53% energy over state-of-the-art techniques while maintaining acceptable reconstruction quality. Detailed analysis shows the scheme offers tamper detection and robustness against various geometric/signal processing attacks.

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Data Availability

The datasets generated/analysed during the current study are available in the ‘J4_Repository’ (https://drive.google.com/drive/folders/1mpcqcbjmp7Fxgoo-pdg-s9Yq5ybOQW74?usp=sharing).

Code Availability

Code for the current study is available from the corresponding author on reasonable request.

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The authors declare that no funds, grants, or other support were received during the preparation of this manuscript.

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  1. Department of Computer Science and Technology, Indian Institute of Engineering, Science and Technology, Shibpur, Howrah, West Bengal, 711103, India

    Tamal Pal & Sipra Das Bit

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  1. Tamal Pal
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Pal, T., Das Bit, S. An Improved Low-Overhead Secure Image Compression over Wireless Multimedia Sensor Network. Wireless Pers Commun 132, 1049–1081 (2023). https://doi.org/10.1007/s11277-023-10648-1

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