Scheduling security-critical multimedia applications in heterogeneous networks

Zhou, Liang; Vasilakos, Athanasios V.; Xiong, Naixue; Zhang, Yan; Lian, Shiguo

doi:10.1016/j.comcom.2010.01.009

Cited by 11 publications

(9 citation statements)

References 17 publications

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“…The development of automated video surveillance using the WVSNs has drawn considerable attention in recent years [8][9][10][11][12]. Aware of the limitations of the WVSNs and the dynamic nature of the surveillance environment, recent works has focused on certain aspects of visual monitoring, including collaborative data processing, visual data coverage, and visual data coding [13][14][15].…”

Section: Related Workmentioning

confidence: 99%

Saliency-directed prioritization of visual data in wireless surveillance networks

et al. 2015

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Item Type Article Authors Mehmood, Irfan; Sajjad, M.; Ejaz, W.; Baik, S.W. Citation Mehmood I, Sajjad M, Ejaz W et al (2015) Saliency-directed prioritization of visual data in wireless surveillance networks. Information Fusion. 24: 16-30. RightsAbstract: In wireless visual sensor networks (WVSNs), streaming all imaging data is impractical due to resource constraints. Moreover, the sheer volume of surveillance videos causes intermittency on the analysts' ability to extract actionable intelligence from it. In this work, an energy-efficient image prioritization framework is presented to cope with the fragility of the traditional WVSN. The proposed framework selects semantically relevant information before transmission to the sink node. This is based on salient motion detection, which works on the principle of human cognitive processes. Each camera node estimates background bootstrapping, which helps to increase the efficiency of salient motion detection. Based on the salient motion, each sensor node is classified into a high or a low-priority node. This classification is dynamic such that camera nodes toggle between high-priority and low-priority status depending on the coverage of region of interest. The high-priority camera nodes are allowed to access the reliable radio channels for the sake of timely and reliable transmission of data. We compared the performance of this framework with other state-of-the-art methods in the cases of both single and multi-camera monitoring. The results indicate the usefulness of the proposed method in terms of salient event coverage and the reduction of computational and transmission costs as well as in helping analysts find semantically relevant visual information.Keywords: image prioritization, wireless visual sensor networks, monitoring applications, salient activity detection. Corresponding Author networks. In contrast to scalar sensors, WVSNs capture visual data, which offers rich information. Moreover, owing to their high versatility, small size, and dense spatial coverage, WVSNs can be deployed flexibly in various applications, such as in remote patient monitoring, distributed multimedia-based surveillance, and security systems [1][2][3][4]. In such setups, visual data about the event area has tremendous potential to influence decision making because the WVSNs address real-time observation of the events occurring within a busy environment. Despite the existence of numerous ideas of attractive surveillance applications, their actual implementation using the WVSNs remains a challenge. This is a challenge particularly because surveillance systems consist of numerous sensors that consume a large amount of bandwidth to transmit their raw video streams. Further, these video streams require extensive processing to detect events and anomalies. Recently, there have been attempts to advance the current WVSN technologies by implementation of intelligent methods for automatically extracting the relevant data at the source node to reduce the consumption of network bandwidth.WVSN based mo...

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Section: Related Workmentioning

confidence: 99%

Saliency-directed prioritization of visual data in wireless surveillance networks

et al. 2015

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“…The DAWVS scheduling algorithm is proposed and analyzed [17]. Zhou et al also propose a graph based authentication method to maximize the quality of video security within the delay [18]. Though these works all apply AMC or similar flow control mechanism to improve the multimedia services, a complete mathematical model to exploit AMC's performance is not yet supplied.…”

Section: Introductionmentioning

confidence: 97%

Modeling and analysis of applying adaptive modulation coding in wireless multicast and broadcast systems

2011

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Traditional wireless communications only utilize fixed-rate multicast and broadcast. In other words, only the most robust modulation and coding scheme can be applied for data transmission. Such a scheme fails to sufficiently exploit the potential gains of multicast and broadcast, resulting in bandwidth waste. To overcome such a problem, investigating the rate adaptation of multicast and broadcast wireless systems is the primary task. Unlike the traditional wireless systems, this paper presents an analytical model with rate adaptation for both multicast and broadcast. Adaptive modulation and coding are applied to achieve rate adaptation. We construct a stochastic model by using Finite State Markov chains for the multicast broadcast system modeling. The model's outputs are shown to approximate to the results of our system level simulations. The model derives the performance of rate adaptation in multicast and broadcast. With the deduced modeling results, we can predict the system throughput providing the channel states, and the modulation and coding schemes variations.

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“…Meanwhile, due to the continuous improvement of the detection, interception and decoding capabilities of communication systems in the modern military field, the security of communication systems [1] has also been greatly challenged. Therefore, cyber security is becoming an increasingly important issue in the design of multimedia applications [2], [3]. Therefore, many encryption schemes have been proposed and obtained excellent results, such as [4].…”

Section: Introductionmentioning

confidence: 99%

RFPS: A Robust Feature Points Detection of Audio Watermarking for Against Desynchronization Attacks in Cyber Security

et al. 2020

IEEE Access

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Digital watermarking is an effective covert communication technique in the military field, which can solve the problems in traditional encryption. In general, the Spread Spectrum (SS) algorithm can well satisfy the requirements of concealment and anti-interference in the covert communication process. However, it has a natural defect in resisting desynchronization attacks. In this paper, we propose a Robust Feature Points Scheme (RFPS) against desynchronization attacks by calculating the maximum response value of the second-order derivative of the original audio signal. The maximum response value will be used as a feature point and the audio segments centering at the detected feature points are extracted for both watermark embedding and extraction process. This study mainly focuses on cropping attacks and pitch invariant TimeScale Modification (TSM) attacks. The experimental results show that under non-uniform cropping attacks, the proposed method can extract the watermark information without any bit error rate. Even in the case of the pitch-invariant TSM attacks, the proposed scheme has great improvement compared with the existing works.

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Scheduling security-critical multimedia applications in heterogeneous networks

Cited by 11 publications

References 17 publications

Saliency-directed prioritization of visual data in wireless surveillance networks

Saliency-directed prioritization of visual data in wireless surveillance networks

Modeling and analysis of applying adaptive modulation coding in wireless multicast and broadcast systems

RFPS: A Robust Feature Points Detection of Audio Watermarking for Against Desynchronization Attacks in Cyber Security

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