A Secure Video Steganography Based on the Intra-Prediction Mode (IPM) for H264

Cao, Mingyuan; Lan, Tian; Li, Chen

doi:10.3390/s20185242

Cited by 15 publications

(4 citation statements)

References 28 publications

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“…The framework utilised IoT sensors to collect hydrological and meteorological data, which were then analysed using GIS for flood modelling and mapping. A similar framework were used to predict urban flash floods using machine learning algorithms and IoT sensors [69]. These studies demonstrate the potential of integrating IoT and GIS technologies in disaster risk management.…”

Section: Future Outlook and Research Gaps Of Integrating Iot With Sup...mentioning

confidence: 90%

Application of GIS and IoT Technology based MCDM for Disaster Risk Management: Methods and Case Study

AbdelAziz,

Eldrandaly,

Al-Saeed

et al. 2023

Decis. Mak. Appl. Manag. Eng.

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This study proposes a two-phase framework to enhance disaster management strategies for flooding using Geographic Information System (GIS) and Internet of Things (IoT) real-time data obtained using drones. The first phase aims to predict the governorate most prone to flooding using GIS and four forecasting models. The second phase involves selecting optimal locations for drone takeoff and landing using GIS with multi-criteria decision making. The neutrosophic ordinal priority approach is used to weight the criteria for selecting the best locations. A case study from the Egyptian Mediterranean Coast is used to measure the effectiveness and applicability of the framework. Results indicate that the Port Said governorate is the most vulnerable to flooding, and the top 10 suitable sites for drone takeoff and landing are suggested for this governorate. The limitations of the case study are discussed, such as data availability and reliability, as well as potential biases in the methodology. This study suggests future research directions to address these limitations and enhance the effectiveness of the proposed framework. Overall, this study contributes to the field of disaster risk management by providing a practical and innovative approach to enhance disaster preparedness and response using GIS and IoT technologies.

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Section: Future Outlook and Research Gaps Of Integrating Iot With Sup...mentioning

confidence: 90%

Application of GIS and IoT Technology based MCDM for Disaster Risk Management: Methods and Case Study

AbdelAziz,

Eldrandaly,

Al-Saeed

et al. 2023

Decis. Mak. Appl. Manag. Eng.

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“…In addition, since only a 0.2 Mbps secret message can be inserted in the video of approximately 4 Mbps, the secret video could be inserted at a 1/20 ratio. In [27], a 1-bit secret message was embedded in specific groups of the angular mode, and a threshold was presented to adjust the capacity of the secret messages. Similarly in [28], a method to add a 1-bit secret message through the most probable maximum (MPM) for each 4 × 4 luma block was proposed.…”

Section: Compressed Video Steganography Methodsmentioning

confidence: 99%

Deceptive Techniques to Hide a Compressed Video Stream for Information Security

Heo

2021

Sensors

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With the recent development of video compression methods, video transmission on traditional devices and video distribution using networks has increased in various devices such as drones, IP cameras, and small IoT devices. As a result, the demand for encryption techniques such as MPEG-DASH for transmitting streams over networks is increasing. These video stream security methods guarantee stream confidentiality. However, they do not hide the fact that the encrypted stream is being transmitted over the network. Considering that sniffing attacks can analyze the entropy of the stream and scan huge amounts of traffic on the network, to solve this problem, the deception method is required, which appears unencrypted but a confidential stream. In this paper, we propose the new deception method that utilizes standard NAL unit rules of video codec, where the unpromised device shows the cover video and the promised device shows the secret video for deceptive security. This method allows a low encryption cost and the stream to dodge entropy-based sniffing scan attacks. The proposed stream shows that successful decoding using five standard decoders and processing performance was 61% faster than the conventional encryption method in the test signal conformance set. In addition, a network encrypted stream scan method the HEDGE showed classification results that our stream is similar to a compressed video.

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“…Combining the two techniques cryptography and steganography can be consolidated to give one more level of insurance. This consolidated approach will fulfill the three objectives of information concealing: security, limit, robustness 11,12 .…”

Section: Introductionmentioning

confidence: 99%

Steganography and Cryptography Techniques Based Secure Data Transferring Through Public Network Channel

Naser

Al-Alak²,

Hussein³

et al. 2022

Baghdad Sci.J

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Attacking a transferred data over a network is frequently happened millions time a day. To address this problem, a secure scheme is proposed which is securing a transferred data over a network. The proposed scheme uses two techniques to guarantee a secure transferring for a message. The message is encrypted as a first step, and then it is hided in a video cover. The proposed encrypting technique is RC4 stream cipher algorithm in order to increase the message's confidentiality, as well as improving the least significant bit embedding algorithm (LSB) by adding an additional layer of security. The improvement of the LSB method comes by replacing the adopted sequential selection by a random selection manner of the frames and the pixels with two secret random keys. Therefore, the hidden message remains protected even if the stego-object is hacked because the attacker is unable to know the correct frames and pixels that hold each bit of the secret message in addition to difficulty to successfully rebuild the message. The results refer to that the proposed scheme provides a good performance for evaluation metric that is used in this purpose when compared to a large number of related previous methods.

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A Secure Video Steganography Based on the Intra-Prediction Mode (IPM) for H264

Cited by 15 publications

References 28 publications

Application of GIS and IoT Technology based MCDM for Disaster Risk Management: Methods and Case Study

Application of GIS and IoT Technology based MCDM for Disaster Risk Management: Methods and Case Study

Deceptive Techniques to Hide a Compressed Video Stream for Information Security

Steganography and Cryptography Techniques Based Secure Data Transferring Through Public Network Channel

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