[vc_empty_space][vc_empty_space]
Secure HEVC video by utilizing selective manipulation method and grading level model
Mustafa A.a, Hendrawana
a School of Electrical Engineering and Informatics, Bandung Institute of Technology, Bandung, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2017 IEEE.This research proposed a method in securing HEVC video. The proposed method considered to be efficient (few parameters that being manipulated), effective (changing one parameter impacts to whole frame sequences), powerful (shown by visual and PSNR analysis), and has potential use in other video-related technologies. The main idea of the proposed method is performing a bit-flipping method to eight selected important parameters in HEVC video. These eight parameters contained in general video parameters, e.g VPS, SPS, and PPS, and could be assured exist in all HEVC videos. Moreover, the proposed scheme divided into five levels. As level increased, more parameters being manipulated. Grading level minimizes the probability of unauthorized person to revert back the video into original video. The result of this scheme are degradation in visual aspect as manipulation level increases, PSNR calculation drop to 19.86062 dB, 15.0796 dB, 14.9121 dB, 10.0865 dB, and 10.5689 dB from first level to fifth level respectively, and potential use of the proposed scheme ranging from pay-per-view model, video on demand, video conferencing, and webinar.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Bit flipping,eight parameters,HEVC,level,secure[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]bit-flipping,eight parameters,HEVC,level,secure[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1109/ICWT.2017.8284127[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]