Research on Potentialities of Audio Information Recovery from Video Without Audio Track

被引:0
|
作者
Lykov Y.V. [1 ]
Presniakova H.D. [1 ]
Lykova A.A. [1 ]
机构
[1] Kharkiv National University of Radioelectronics, Kharkiv
关键词
13;
D O I
10.3103/S0735272719060050
中图分类号
学科分类号
摘要
The article analyzed the possibility of the appearance of an acoustic information leakage channel that is formed by analyzing the video stream on the video record. The authors investigated the possibilities of speech recovery from a low quality recording, determined by the signal-to-noise ratio (SNR), sampling frequency, number of quantization levels, and clipping level, taking into account the features of the leakage channel under study. As a result, the required frame rate of the video image, the minimum SNR, the number of quantization levels, and a sufficient dynamic displacement range of the oscillating object are determined. The authors also investigated the requirements for the leakage channel parameters and possible ways for an attacker to improve its quality. The requirements for the displacement of an object oscillating under the action of acoustic waves in a video were calculated. The article justified the potential of reducing the requirements for the displacement of an object by applying averaging of a large number of different points on the object. The authors performed an assessment of the existing noise reduction software for sound recordings, which is used to increase the intelligibility of the message that is intercepted by the attacker in the considered information leakage channel. Obtained results revealed that there are potential causes for the leakage of acoustic information by analyzing the video stream on the video. The conditions for the emergence of such a channel are not excessive. Therefore, the possibility of its appearance is a security risk and it is necessary to provide the means to protect the object of information activity from it. © 2019, Allerton Press, Inc.
引用
收藏
页码:301 / 309
页数:8
相关论文
共 50 条
  • [21] Video summarizing based on both audio and image information
    Larabi, MC
    Fernandez-Maloigne, C
    2005 Beijing International Conference on Imaging: Technology and Applications for the 21st Century, 2005, : 292 - 293
  • [22] Target Tracking Based on Audio and Video Information Fusion
    Wang, H.
    PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING AND AUTOMATIC CONTROL, 2016, 367 : 305 - 314
  • [23] Research on Method of Audio Video Unstructured Information Intelligent Analysis Process in Data Centre
    Wang, Wei
    Chen, XuQian
    2010 INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE AND ENGINEERING (MSE 2010), VOL 2, 2010, : 259 - 262
  • [24] Semantic media analysis for parallel hiding of data in video and audio track
    Badura, Stanislaw
    Rymaszewski, Slawomir
    SIGMAP 2007: PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND MULTIMEDIA APPLICATIONS, 2007, : 462 - +
  • [25] Decision Tree Based Depression Classification from Audio Video and Language Information
    Yang, Le
    Jiang, Dongmei
    He, Lang
    Pei, Ercheng
    Oveneke, Meshia Cedric
    Sahli, Hichem
    PROCEEDINGS OF THE 6TH INTERNATIONAL WORKSHOP ON AUDIO/VISUAL EMOTION CHALLENGE (AVEC'16), 2016, : 89 - 96
  • [26] AUTOMATIC RECOGNITION OF SPEECH WITHOUT ANY AUDIO INFORMATION
    Heracleous, Panikos
    Hagita, Norihiro
    2011 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 2011, : 2392 - 2395
  • [27] Extracting information from music audio
    Ellis, Daniel P. W.
    COMMUNICATIONS OF THE ACM, 2006, 49 (08) : 32 - 37
  • [28] Extracting information from music audio
    Department of Electrical Engineering, Columbia University, NY
    Commun ACM, 2006, 8 (32-37):
  • [29] Reconstructing Tongue Movements from Audio and Video
    Kjellstrom, Hedvig
    Engwall, Olov
    Balter, Olle
    INTERSPEECH 2006 AND 9TH INTERNATIONAL CONFERENCE ON SPOKEN LANGUAGE PROCESSING, VOLS 1-5, 2006, : 2238 - +
  • [30] Integration and optimization on processing system of multimedia video and audio information
    Ye, Xi'en
    Xia, Yinshui
    Chin, Tunghai
    2000, Shanghai Comp Soc, China (26):