SAR Image Restoration via a NL Approach Based on the KS Test

Ferraioli, Giampaolo; Kanoun, Bilel; Pascazio, Vito; Schimzi, Gilda

doi:10.1109/igarss.2018.8517949

Cited by 3 publications

(3 citation statements)

References 11 publications

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“…In the proposed model, each FC makes sensing decision based on measurements from its monitoring nodes. The energy observed at each monitoring node over K intervals are treated as time series and matched pair to pair if they are drawn from same distribution using Kolmogorov Smirnov test [26]. To determine whether two sets of data are from the same distribution, a non-parametric test is used.…”

Section: Proposed Methodologymentioning

confidence: 99%

Cooperative Sensing Assisted Cross layer QoS Assured Routing in Cognitive Radio Adhoc Networks: Ensuring Security and Privacy

2024

IJIES

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Achieving higher accuracy of spectrum sensing (SS) becomes a challenge in cognitive radio adhoc network (CRAN) due to presence of varied power levels, interference, multipath fading and hidden node problems. Cooperative sensing based SS address these challenges by making spectrum decision based on distributed sensing measurements from multiple nodes. A major problem in cooperative SS is that, false sensing measurements sent by compromised node can impact the spectrum access probability and network services. These false measurements also affect the channel utilization calculation and disrupt the QoS based routing protocols for cognitive radio (CR) networks. The compromised node can also compromise the privacy of SU by leaking communicated messages. In this work, we provide a cross layer QoS assured routing system for CRAN that is secure as well as protects privacy. The proposed solution solves the problems of false sensing measurements using Kolmogorov Smirnov test on spectrum measurements in both spatially and temporal contexts. Attacks on spectrum measurements are detected and filtered using sequential probability test. Cross layer interactions are used in decision on source rate control, multipath selection and adaptive queing to provide guaranteed QoS. The proposed solution is able to increase the spectrum sensing accuracy by at least 7.6% in presence of sensing attacks and increase packet delivery ratio by at least 4% compared to existing works.

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Section: Proposed Methodologymentioning

confidence: 99%

Cooperative Sensing Assisted Cross layer QoS Assured Routing in Cognitive Radio Adhoc Networks: Ensuring Security and Privacy

2024

IJIES

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“…So Kolmogorov-Smirnov test approach is used as the second approach to evaluate the trustworthy of IMF components. The Kolmogorov-Smirnov test is a non-parametric test approach to measure the given data is generated from a known distribution (one-sample test), or the two sets of data are generated from the same distribution (two-sample test) [30]. The two-sample KS test is one of the most general non-parametric approaches to compare the similarity of two samples distribution, as it is sensitive to the differences in location and shape of the empirical cumulative distribution functions of two samples.…”

Section: Imf Component Trust Evaluation By Kolmogorov-smirnov Testmentioning

confidence: 99%

A Novel Low-Rate Denial of Service Attack Detection Approach in ZigBee Wireless Sensor Network by Combining Hilbert-Huang Transformation and Trust Evaluation

Chen

Caixia

Shan³

et al. 2019

IEEE Access

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Low-rate Denial of Service (LDoS) attack is a special DoS attack. The routing protocol is vulnerable to many types of attacks in a wireless sensor network (WSN), which is an important network type of the Internet of Things (IoT). The novel LDoS attack to the routing protocol is proposed to evaluate the security and trust mechanism in the WSN. In fact, the LDoS attack is difficult to be detected due to its small-signal characteristics, so it is a serious threat to the security and trust of the WSN. A Hilbert-Huang transform (HHT) time-frequency joint analysis approach is utilized to analyze the non-stationary small signal that is produced by the LDoS attack. However, false intrinsic mode function (IMF) components are the challenge problems to precisely detect the LDoS attack. Correlation coefficient and Kolmogorov-Smirnov (KS) test approaches are united to evaluate the trustworthy of IMF components and exclude the false IMF components. Hilbert-Huang transformation and trust evaluation approaches are combined to detect the novel LDoS attack in Zigbee WSN. CC2530 system-on-chip integrated with ZigBee protocol is utilized to build a wireless sensor node. Random routing REQuest (RREQ) flooding attack is used to implement the routing layer LDoS attack in Zigbee WSN. If the correlation coefficient value of IMF component relative to original traffic is more than 0.3 and the KS similarity probability value of the IMF component relative to the original traffic is more than 0.4, the IMF component is identified as high trust IMF components that will be used to detect LDoS attack. If the IMF component only satisfies one of the trust evaluation conditions, the IMF component is identified as low trust IMF component. Otherwise, the IMF component is the false IMF component. We have proposed a scalable LDoS attack detection architecture for both WSN and IoT. The experimental results demonstrate that the novel approach is highly effective to detect the LDoS attack in the ZigBee WSN.

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“…Other approaches have proposed to compare the distributions inside the patches to define the weights (for instance [21]). This way loses the structural organization of the patch to the advantage of an increased robustness to noise.…”

Section: Amplitude or Intensity Imagesmentioning

confidence: 99%

Ten Years of Patch-Based Approaches for Sar Imaging: A Review

Tupin¹,

Dénis²,

Deledalle³

et al. 2019

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium

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Speckle reduction is a major issue for many SAR imaging applications using amplitude, interferometric, polarimetric or tomographic data. This subject has been widely investigated using various approaches. Since a decade, breakthrough methods based on patches have brought unprecedented results to improve the estimation of radar properties. In this paper, we give a review of the different adaptations which have been proposed in the past years for different SAR modalities (mono-channel data like intensity images, multi-channel data like interferometric, tomographic or polarimetric data, or multimodalities combining optic and SAR images), and discuss the new trends on this subject.

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SAR Image Restoration via a NL Approach Based on the KS Test

Cited by 3 publications

References 11 publications

Cooperative Sensing Assisted Cross layer QoS Assured Routing in Cognitive Radio Adhoc Networks: Ensuring Security and Privacy

Cooperative Sensing Assisted Cross layer QoS Assured Routing in Cognitive Radio Adhoc Networks: Ensuring Security and Privacy

A Novel Low-Rate Denial of Service Attack Detection Approach in ZigBee Wireless Sensor Network by Combining Hilbert-Huang Transformation and Trust Evaluation

Ten Years of Patch-Based Approaches for Sar Imaging: A Review

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