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  • Artikel  (1.261)
  • Institute of Electrical and Electronics Engineers (IEEE)  (1.261)
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  • 1
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    Comsoc Membership (2018)
    Institute of Electrical and Electronics Engineers (IEEE)
    Details
    Publikationsdatum: 2018-02-17
    Beschreibung: Advertisement, IEEE.
    Print ISSN: 0163-6804
    Digitale ISSN: 1558-1896
    Thema: Elektrotechnik, Elektronik, Nachrichtentechnik
    Publiziert von Institute of Electrical and Electronics Engineers (IEEE) im Namen von The IEEE Communications Society.
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  • 2
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    A Multi-Level DDoS Mitigation Framework for the Industrial Internet of Things (2018)
    Institute of Electrical and Electronics Engineers (IEEE)
    Details
    Publikationsdatum: 2018-02-17
    Beschreibung: The Industrial Internet of Things is growing fast. But the rapid growth of IIoT devices raises a number of security concerns, because the IIoT device is weak in defending against malware, and the method of managing a large number of IIoT devices is awkward and inconvenient. This article proposes a multi-level DDoS mitigation framework (MLDMF) to defend against DDoS attacks for IIoT, which includes the edge computing level, fog computing level, and cloud computing level. Software defined networking is used to manage a large number of IIoT devices and to mitigate DDoS attacks in IIoT. Experimental results show the effectiveness of the proposed framework.
    Print ISSN: 0163-6804
    Digitale ISSN: 1558-1896
    Thema: Elektrotechnik, Elektronik, Nachrichtentechnik
    Publiziert von Institute of Electrical and Electronics Engineers (IEEE) im Namen von The IEEE Communications Society.
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  • 3
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    NEPHELE: An End-to-End Scalable and Dynamically Reconfigurable Optical Architecture for Application-Aware SDN Cloud Data Centers (2018)
    Institute of Electrical and Electronics Engineers (IEEE)
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    Publikationsdatum: 2018-02-17
    Beschreibung: The efficient integration of optical switching in data center networks is being studied as a means to cope with surging traffic demands. Optically switched, flatter network architectures more efficiently handle the east-west traffic profiles of modern data centers. Limitations in the port count and reconfiguration speed of optical switches require novel network designs offering network scalability and dynamicity. Interaction of the optically switched data plane with a software-defined control and orchestration framework, meeting current common practices in data centers, necessitates the design of custom network control algorithms and software modules as well as the integration of novel functionalities. The approach of the European project NEPHELE is presented, offering an endto- end solution that addresses the optical data plane, the control plane, and its interaction with the application layer.
    Print ISSN: 0163-6804
    Digitale ISSN: 1558-1896
    Thema: Elektrotechnik, Elektronik, Nachrichtentechnik
    Publiziert von Institute of Electrical and Electronics Engineers (IEEE) im Namen von The IEEE Communications Society.
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  • 4
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    I Walk, Therefore I Am: Continuous User Authentication with Plantar Biometrics (2018)
    Institute of Electrical and Electronics Engineers (IEEE)
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    Publikationsdatum: 2018-02-17
    Beschreibung: The comprehensive evolution of information communication technologies on mobile sensing objects has led to the provision of versatile ubiquitous network services embedded with specific- purpose modern sensors and intelligent wearable devices. The universal Internet connectivity of such smart objects has brought about a new era of ubiquitous application development for the Internet of Things. Meanwhile, security has become critically important. In the past decade, academia and industry have dedicated great efforts to the design of continuous authentication for multi-modal networks. Multiform authentication bio-tokens have been introduced for continuous entity identification and verification. With the rapid growth and universality of wearable devices, in this article we target continuous authentication for the IoT-based environment with users possessing wearable healthcare (and wellness) related smart objects. To present the state of the art, we provide a comprehensive review of continuous authentication in recent years. Critical characteristics of new biometrics are then introduced. Second, we present a wearable plantar bio-feature extractor constructed via commercial pressure sensors and the Raspberry PI platform. The prototype is adopted to retrieve user plantar bio-data as the raw (and training) data in the proposed authentication system. Third, we apply machinelearning- based techniques to derive a user's plantar bio-features as authentication tokens in the system to support continual (and real-time) entity verification in the background without the user's notice.
    Print ISSN: 0163-6804
    Digitale ISSN: 1558-1896
    Thema: Elektrotechnik, Elektronik, Nachrichtentechnik
    Publiziert von Institute of Electrical and Electronics Engineers (IEEE) im Namen von The IEEE Communications Society.
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  • 5
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    PrivacyProtector: Privacy-Protected Patient Data Collection in IoT-Based Healthcare Systems (2018)
    Institute of Electrical and Electronics Engineers (IEEE)
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    Publikationsdatum: 2018-02-17
    Beschreibung: In IoT-based healthcare, medical devices are more vulnerable to numerous security threats and attacks than other network devices. Current solutions are able to provide protection to patients' data during data transmission to some extent, but cannot prevent some sophisticated threats and attacks such as collusion attacks and data leakage. In this article, we first investigate the challenges with privacy protected data collection. Then we propose a practical framework called PrivacyProtector, patient privacy protected data collection, with the objective of preventing these types of attacks. PrivacyProtector includes the ideas of secret sharing and share repairing (in case of data loss or compromise) for patients' data privacy. Since it is the first time, we apply the Slepian- Wolf-coding-based secret sharing (SW-SSS) in PrivacyProtector. In the framework, we use a distributed database consisting of multiple cloud servers, which ensures that the privacy of patients' personal data can remain protected as long as one of the servers remains uncompromised. We also present a patient access control scheme in which multiple cloud servers collaborate in shared construction to offer patients' data to healthcare providers without revealing the content of the data. The privacy performance analysis has shown that the PrivacyProtector framework is secure and privacy-protected against various attacks.
    Print ISSN: 0163-6804
    Digitale ISSN: 1558-1896
    Thema: Elektrotechnik, Elektronik, Nachrichtentechnik
    Publiziert von Institute of Electrical and Electronics Engineers (IEEE) im Namen von The IEEE Communications Society.
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  • 6
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    [Back cover] (2018)
    Institute of Electrical and Electronics Engineers (IEEE)
    Details
    Publikationsdatum: 2018-02-17
    Beschreibung: Advertisement.
    Print ISSN: 0163-6804
    Digitale ISSN: 1558-1896
    Thema: Elektrotechnik, Elektronik, Nachrichtentechnik
    Publiziert von Institute of Electrical and Electronics Engineers (IEEE) im Namen von The IEEE Communications Society.
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  • 7
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    Undersampled-Based Modulation Schemes for Optical Camera Communications (2018)
    Institute of Electrical and Electronics Engineers (IEEE)
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    Publikationsdatum: 2018-02-17
    Beschreibung: Widespread use of white light-emitting diodes and ubiquitous smart devices offer the opportunity to establish VLC, which has become a hot research topic based on the growing number of publications over the last decade. Camera-based VLC, namely OCC, provides many unique features when compared to a single-photodiode-based system, such as the ability to separate incident light in the spatial and color domains. OCC technology represents a promising approach to utilize the benefits of VLC in beyond-5G scenarios and is one of the key technologies of the Internet of Things. Establishing a long communication channel in OCC, as well as non-flickering illumination by using low-frame-rate camera detectors, requires special modulation schemes. This article provides an overview of the principles of three categories of modulation schemes for OCC systems using a low-frame-rate camera detector. In addition, a series of undersampled modulation schemes are proposed and discussed to achieve flicker-free OCC with higher spectral efficiency. In addition, framing structures are designed to solve problems occurring in OCC systems using particular modulation schemes. To evaluate the performance of these modulation schemes, measured bit error rate values are shown. Finally, challenges in the implementation of OCC systems are also outlined.
    Print ISSN: 0163-6804
    Digitale ISSN: 1558-1896
    Thema: Elektrotechnik, Elektronik, Nachrichtentechnik
    Publiziert von Institute of Electrical and Electronics Engineers (IEEE) im Namen von The IEEE Communications Society.
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  • 8
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    Technical Issues on IEEE 802.15.7m Image Sensor Communication Standardization (2018)
    Institute of Electrical and Electronics Engineers (IEEE)
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    Publikationsdatum: 2018-02-17
    Beschreibung: This tutorial article presents an outline of image sensor communication (ISC) technologies realized by light sources and cameras. It discusses the revision of the IEEE 802.15.7-2011 standard, namely, the IEEE 802.15.7m Optical Wireless Communications Task Group, which has significantly influenced the development of the ISC technology. It also reviews the ISC technical proposals of the task group and compares them with related works. The essential technical considerations of the ISC specifications are presented, and the future directions of research and development are discussed.
    Print ISSN: 0163-6804
    Digitale ISSN: 1558-1896
    Thema: Elektrotechnik, Elektronik, Nachrichtentechnik
    Publiziert von Institute of Electrical and Electronics Engineers (IEEE) im Namen von The IEEE Communications Society.
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  • 9
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    Laplacian Eigenmaps From Sparse, Noisy Similarity Measurements (2017)
    Institute of Electrical and Electronics Engineers (IEEE)
    Details
    Publikationsdatum: 2017-02-11
    Beschreibung: Manifold learning and dimensionality reduction techniques are ubiquitous in science and engineering, but can be computationally expensive procedures when applied to large datasets or when similarities are expensive to compute. To date, little work has been done to investigate the tradeoff between computational resources and the quality of learned representations. We present both theoretical and experimental explorations of this question. In particular, we consider Laplacian eigenmaps embeddings based on a kernel matrix, and explore how the embeddings behave when this kernel matrix is corrupted by occlusion and noise. Our main theoretical result shows that under modest noise and occlusion assumptions, we can (with high probability) recover a good approximation to the Laplacian eigenmaps embedding based on the uncorrupted kernel matrix. Our results also show how regularization can aid this approximation. Experimentally, we explore the effects of noise and occlusion on Laplacian eigenmaps embeddings of two real-world datasets, one from speech processing and one from neuroscience, as well as a synthetic dataset.
    Print ISSN: 1053-587X
    Digitale ISSN: 1941-0476
    Thema: Elektrotechnik, Elektronik, Nachrichtentechnik
    Publiziert von Institute of Electrical and Electronics Engineers (IEEE) im Namen von The IEEE Signal Processing Society.
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  • 10
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    High Dimensional Low Rank Plus Sparse Matrix Decomposition (2017)
    Institute of Electrical and Electronics Engineers (IEEE)
    Details
    Publikationsdatum: 2017-02-11
    Beschreibung: This paper is concerned with the problem of low-rank plus sparse matrix decomposition for big data. Conventional algorithms for matrix decomposition use the entire data to extract the low-rank and sparse components, and are based on optimization problems with complexity that scales with the dimension of the data, which limits their scalability. Furthermore, existing randomized approaches mostly rely on uniform random sampling, which is quite inefficient for many real world data matrices that exhibit additional structures (e.g., clustering). In this paper, a scalable subspace-pursuit approach that transforms the decomposition problem to a subspace learning problem is proposed. The decomposition is carried out by using a small data sketch formed from sampled columns/rows. Even when the data are sampled uniformly at random, it is shown that the sufficient number of sampled columns/rows is roughly $mathcal {O}(r mu)$ , where $mu$ is the coherency parameter and $r$ is the rank of the low-rank component. In addition, adaptive sampling algorithms are proposed to address the problem of columns/rows sampling from structured data. We provide an analysis of the proposed method with adaptive sampling and show that adaptive sampling makes the required number of sampled columns/rows invariant to the distribution of the data. The proposed approach is amenable to online implementation and an online scheme is proposed.
    Print ISSN: 1053-587X
    Digitale ISSN: 1941-0476
    Thema: Elektrotechnik, Elektronik, Nachrichtentechnik
    Publiziert von Institute of Electrical and Electronics Engineers (IEEE) im Namen von The IEEE Signal Processing Society.
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