Bio-Inspired Steganography for Secure Underwater Acoustic Communications

Jiajia, Jiang; Wang, Xianquan; Duan, Fajie; Xiao, Fu; Han, Yan; Hua, Bo

doi:10.1109/mcom.2018.1601228

Cited by 37 publications

(19 citation statements)

References 14 publications

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“…Compared with the existing methods presented in Section 1, the proposed method shows a better classification performance for both whale species. Moreover, although the proposed method is used here for whistle detection and classification of only killer whales and long-finned pilot whales, it is not limited to this application and can be easily adapted for other whale or dolphin species that can produce whistles or other sounds; it can also be employed to perform some preliminary work in passive acoustic observation applications for whale or dolphin species, such as range and seasonal occurrence measurement, abundance estimation, and population structure determination, together with some bio-inspired underwater detection or communication systems [32][33][34][35][36][37][38][39].…”

Section: Resultsmentioning

confidence: 99%

Whistle detection and classification for whales based on convolutional neural networks

Jiajia

Duan

et al. 2019

Applied Acoustics

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Section: Resultsmentioning

confidence: 99%

Whistle detection and classification for whales based on convolutional neural networks

Jiajia

Duan

et al. 2019

Applied Acoustics

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“…Besides, as [38], the SC is composed of single original click and used to serve as the time reference of decoding the GNI, GHI and IC. Communication codes c sc , c gn1 , .…”

Section: B Structure Design Of the Bbiccfmentioning

confidence: 99%

“…Inspired by this, we design a BBICCF ( Fig.1) to provide strong support for solving the secure communication and communication network problems for MUP formations, by using killer whales' call pulses and learning the bionic communication idea in [38], and then to extent its application for different formation requirements. The BBICCF considers each underwater platform as a killer whale, then picked out some original long duration call pulses (whistles and pulsed calls) with different features from the original killer whales' call pulse trains, and then allocates the selected unique long duration call pulse as communication address code for each platform.…”

mentioning

confidence: 99%

“…The BBICCF considers each underwater platform as a killer whale, then picked out some original long duration call pulses (whistles and pulsed calls) with different features from the original killer whales' call pulse trains, and then allocates the selected unique long duration call pulse as communication address code for each platform. Next, the BBICCF uses the short duration call pulses (clicks) selected from the original killer whales' call pulse trains as other communication codes, and then simultaneously use both the time delay difference (TDD) among communication codes and the number of communication codes (NCC) to convey the communication information similar to the communication strategy in [38]. Then, fully imitating the characteristics of original killer whale call pulse trains, the BBICCF constructs a covert, disguised and trickish communication frame for the communication networks by utilizing the selected whistles, pulsed calls and clicks.…”

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confidence: 99%

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A Basic Bio-Inspired Camouflage Communication Frame Design and Applications for Secure Underwater Communication Among Military Underwater Platforms

et al. 2020

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Many marine mammal species, such as different kinds of whales and dolphins, live together in groups. Although having no nice eyesight, they can accomplish cooperative foraging, inter-communication and group sailing very efficiently and accurately only depending on their sound. Generally, present interception systems almost always classify biological signals as ocean noise and try to filter them out. In addition, the covertness and security are very important for many military underwater platforms (MUPs) and their formations. Based on above classification fact and covert communication demand, this article designs a basic bio-inspired camouflage communication frame (BBICCF) for secure underwater communication among military underwater platforms based on the killer whale sound. According to characteristics of the killer whales' original call pulse trains, the original long duration call pulses (whistles and pulsed calls) are utilized as communication address codes for each MUP so as to provide disguised communication addressing support for interconnection among multiple MUPs in the same formation, and the original short duration call pulses (clicks) are used as other communication codes, so as to construct BBICCF for highly camouflaged conveying communication information. A simple and effective time-frequency (TF) contour extraction method is proposed to achieve the accurate extraction of the TF contour of the fundamental frequency of whistles and pulsed calls of killer whales for efficient classification and decoding of address codes. Next, this article provides some extensions and applications about how to let the BBICCF to be applied in conventional communication networks for MUP formation. Finally, simulation results show the effectiveness and concealment ability of designed BBICCF. INDEX TERMS Secure communication network, underwater communications, whale sound, underwater formation. I. INTRODUCTION With the development of technology, more and more autonomous underwater vehicle (AUV), glider and varieties of formations composed of them are used in many military application scenarios from surveillance and anti-submarine, The associate editor coordinating the review of this manuscript and approving it for publication was Xingwang Li. to reconnaissance and mine detection etc. [1]-[3]. Compared with single MUP, the formation composed of multiple MUPs can accomplish more complex, wider range, and more reliable military tasks [4], [5], just as multitudinous group animals in nature, such as whales, swarms, wolf packs etc.. However, the accomplishment of collaborative tasks among the MUPs, such as cooperative localization, sailing of multiple platforms, interaction of the order/data among multiple

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“…In marine archeology, they are used for the exploration of underwater pools of toxic brine [20] and observation of underwater structures [21]. Regarding underwater communication, the authors of [22] proposed the use of a secure communication framework concealing the information under certain characteristics of pulses used by mammals. In addition, ROVs can be used to capture underwater images, of which nowadays there are open research lines [23][24][25][26].…”

Section: Introductionmentioning

confidence: 99%

Design and Construction of an ROV for Underwater Exploration

Aguirre-Castro

Inzunza-González

García-Guerrero

et al. 2019

Sensors

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The design of a remotely operated vehicle (ROV) with a size of 18.41 cm × 29.50 cm × 33.50 cm, and a weight of 15.64 kg, is introduced herein. The main goal is to capture underwater video by remote control communication in real time via Ethernet protocol. The ROV moves under the six brushless motors governed through a smart PID controller (Proportional + Integral + Derivative) and by using pulse-wide modulation with short pulses of 1 μs to improve the stability of the position in relation to the translational, ascent or descent, and rotational movements on three axes to capture images of 800 × 640 pixels on a video graphic array standard. The motion control, 3D position, temperature sensing, and video capture are performed at the same time, exploiting the four cores of the Raspberry Pi 3, using the threading library for parallel computing. In such a way, experimental results show that the video capture stage can process up to 42 frames per second on a Raspberry Pi 3. The remote control of the ROV is executed under a graphical user interface developed in Python, which is suitable for different operating systems, such as GNU/Linux, Windows, Android, and OS X. The proposed ROV can reach up to 100 m underwater, thus solving the issue of divers who can only reach 30 m depth. In addition, the proposed ROV can be useful in underwater applications such as surveillance, operations, maintenance, and measurement.

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Bio-Inspired Steganography for Secure Underwater Acoustic Communications

Cited by 37 publications

References 14 publications

Whistle detection and classification for whales based on convolutional neural networks

Whistle detection and classification for whales based on convolutional neural networks

A Basic Bio-Inspired Camouflage Communication Frame Design and Applications for Secure Underwater Communication Among Military Underwater Platforms

Design and Construction of an ROV for Underwater Exploration

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