A Novel Approach of Image Steganography for Secure Communication Based on LSB Substitution Technique

Rahman, Shahid; Masood, Fahad; Khan, Wajid; Ullah, Niamat; Khan, Fazal Qudus; Tsaramirsis, Georgios; Jan, Sadeeq; Ashraf, Majid

doi:10.32604/cmc.2020.09186

Cited by 19 publications

(7 citation statements)

References 28 publications

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“…LSB methods typically achieve high capacity [19] [10]. It is easy to implement, fast, and has better imperceptibility [20] [21]. However, LSB-based hiding schemes have certain limitations, such as visible degradation of the stego image (higher variability) when embedding large data, which affects the quality of stego images that are easily vulnerable to attacks [21] [22].…”

Section: A Substitution Least Significant Bit (K-lsb)mentioning

confidence: 99%

Enhanced Flipping Technique to Reduce Variability in Image Steganography

Kmail

Abdullah²,

Hasan

et al. 2021

IEEE Access

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Section: A Substitution Least Significant Bit (K-lsb)mentioning

confidence: 99%

Enhanced Flipping Technique to Reduce Variability in Image Steganography

Kmail

Abdullah²,

Hasan

et al. 2021

IEEE Access

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“…K denotes the internal parameter matrix of the smatphone's camera. We can get Equation (7) from Equations ( 5) and ( 6):…”

Section: Sensor-based Enhanced Frame Correctionmentioning

confidence: 99%

“…To achieve eye‐friendliness and higher throughput for ad hoc device‐to‐device communication, dynamic and invisible screen‐camera communication is exploited by existing works 1‐8 . Yuan et al 1 proposed a real‐time photographic message extraction for visual MIMO optical system.…”

Section: Introductionmentioning

confidence: 99%

“…To achieve eye-friendliness and higher throughput for ad hoc device-to-device communication, dynamic and invisible screen-camera communication is exploited by existing works. [1][2][3][4][5][6][7][8] Yuan et al 1 proposed a real-time photographic message extraction for visual MIMO optical system. The information for transmission is embedded into video content and the electronic screen can be simultaneously used for playing normal video content.…”

Section: Introductionmentioning

confidence: 99%

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MobiScan: An enhanced invisible screen‐camera communication system for IoT applications

Xiao

Liu

et al. 2020

Trans Emerging Tel Tech

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In recent years, dynamic and invisible screen‐camera short‐range communication for IoT devices have become a popular research field due to its superior user experience and no‐extra hardware required. However, most existing screen‐camera communication systems suffer from poor data security, high computational overhead, and limited capture angle, which make them infeasible in practice. In this work, we propose MobiScan, a dynamic and invisible screen‐to‐camera communication system that is able to ensure data security, real‐time communication, and flexible capture angle. MobiScan is composed of two parts: a novel fast frame correction scheme and a multilevel data pattern scheme to address the above problems. The fast frame correction scheme proposes a novel frame correct approach that utilizes the sensor data on the smartphone to correct the captured frame by reproducing the relationship between positions of the screen and the smartphone. Through this method, the scheme can save frame correction time without calculating frame content to identify the degree of deformation. The multilevel data pattern scheme protects the data privacy by sending the classified information to targeted users, which can reduce the time overhead and extend the application scenario by redesigning the data structure. The experimental results show that for flexible capture angle problem, the maximum capture angle is 180° in the rotate view and 60° in the side view, bottom view, and overlook view. For real‐time communication problem, the time overhead is reduced by 90% in the procedure of the frame correction. In the data decoding process, the time overhead is reduced by 10%. MobiScan enables a flexible capture angle on the PC platform for secure and real‐time communication.

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“…Its main goal is to hide secret data inside an inconspicuous medium that plays the role of cover. Steganographic techniques use various media, such as images [ 6 ], for which, new improvements are proposed [ 7 ]. Such algorithms in IoT should consider not only undetectability, but also efficiency.…”

Section: Introductionmentioning

confidence: 99%

Steganography in IoT: Information Hiding with APDS-9960 Proximity and Gestures Sensor

Koptyra

Ogiela

2022

Sensors

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This article describes a steganographic system for IoT based on an APDS-9960 gesture sensor. The sensor is used in two modes: as a trigger or data input. In trigger mode, gestures control when to start and finish the embedding process; then, the data come from an external source or are pre-existing. In data input mode, the data to embed come directly from the sensor that may detect gestures or RGB color. The secrets are embedded in time-lapse photographs, which are later converted to videos. Selected hardware and steganographic methods allowed for smooth operation in the IoT environment. The system may cooperate with a digital camera and other sensors.

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A Novel Approach of Image Steganography for Secure Communication Based on LSB Substitution Technique

Cited by 19 publications

References 28 publications

Enhanced Flipping Technique to Reduce Variability in Image Steganography

Enhanced Flipping Technique to Reduce Variability in Image Steganography

MobiScan: An enhanced invisible screen‐camera communication system for IoT applications

Steganography in IoT: Information Hiding with APDS-9960 Proximity and Gestures Sensor

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