Double-Edge Computation Offloading for Secure Integrated Space–Air–Aqua Networks

Wang, Dawei; He, Tianmi; Pang, Linna; He, Yixin; Chen, Hsiao-Hwa

doi:10.1109/jiot.2023.3264694

Cited by 16 publications

(8 citation statements)

References 41 publications

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“…This research underscores the necessity of balancing robust cybersecurity measures with ethical considerations in the pursuit of secure maritime operations. Wang et al [84] presented a secure offloading scheme to optimize power allocation within the Space-Air-Aqua Integrated Network (SAAIN), yielding minimal offloading delay and improved data security. Ilcev et al's [85] research delineated software-enhanced control within the Global Maritime Distress and Safety System (GMDSS), upscaling information processing security in maritime communication systems.…”

Section: Data Securitymentioning

confidence: 99%

“…There is a consensus on the need for comprehensive education and training programs to build sufficient cybersecurity knowledge across all levels of the industry. • Data Security: Data security has been identified as a critical area of advancement, with the research proposing various strategies to protect data within the maritime sector[60,[81][82][83][84][85][86][87][88][89][90][91][92][93][94][95]. This includes the development of technologies and processes to ensure the integrity and confidentiality of maritime data.…”

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confidence: 99%

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Comprehensive Analysis of Maritime Cybersecurity Landscape Based on the NIST CSF v2.0

Dimakopoulou,

Rantos

2024

JMSE

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As technology advances and digitalization becomes more prevalent in the industry, the cyber threats to maritime systems and operations have significantly increased. The maritime sector relies heavily on interconnected networks, communication systems, and sophisticated technologies for its operations, making it an attractive target for cybercriminals, nation-states, and other threat actors. Safeguarding the maritime sector against cyber threats is crucial to ensuring the safety, integrity, and efficiency of maritime operations as well as for protecting sensitive information and global trade. The International Maritime Organization (IMO) has played a significant role in addressing cybersecurity issues, leading to the implementation of regulations aimed at risk reduction. This paper delves into the realm of cybersecurity within the maritime industry, offering an in-depth analysis of its various aspects through an extensive literature review based on the latest Version 2.0 of the National Institute of Standards and Technology’s (NIST) Cybersecurity Framework (CSF) functional areas. The primary objective is to establish a connection between research and NIST’s functions and categories, thereby presenting a nascent perspective and identifying existing security research gaps. Through the adoption of this strategic approach, the present paper aims to cultivate a forward-looking and proactive state of maturity in anticipation of future developments within the maritime industry. The outcomes of this research can provide valuable reference points in academic discourse, potentially leading to new hypotheses, and fuel innovation in developing advanced cybersecurity measures within the maritime industry.

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Section: Data Securitymentioning

confidence: 99%

mentioning

confidence: 99%

Comprehensive Analysis of Maritime Cybersecurity Landscape Based on the NIST CSF v2.0

Dimakopoulou,

Rantos

2024

JMSE

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“…Its architecture is a system architecture for realizing marine environment perception and DT [89]. It connects sensor devices in the air and on the ground, data centers, communication networks, and MIoT devices, and enables data acquisition, processing, and distribution through IoT platforms [62]. Below, we analyze the main architectural parts shown in the diagram, as well as the success stories of A2S integrated networks in the MIoT.…”

Section: A2s Integrated Miot Architecturementioning

confidence: 99%

“…This includes cleaning, validating, converting, and correcting the original data. The cleansing process helps remove noise and outliers from the data, ensuring the data's accuracy and reliability [62]. The checksum remediation process is used to handle erroneous data caused by sensor failure or other problems.…”

mentioning

confidence: 99%

A Survey on Air-to-Sea Integrated Maritime Internet of Things: Enabling Technologies, Applications, and Future Challenges

Liu,

Zhu,

Huang

et al. 2023

JMSE

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Future generation communication systems are exemplified by 5G and 6G wireless technologies, and the utilization of integrated air-to-sea (A2S) communication infrastructure is employed to extend network coverage and enhance data throughput to support data-driven maritime applications. These ground-breaking techniques have promoted the rapid development of the maritime internet of things (MIoT). In particular, the integration of air base stations (ABSs) in the MIoT can achieve broadband, low-delay, and reliable wireless transmissions. Considering the potential of ABS-enabled communications, this survey presents the state of the art in the A2S integrated MIoT. More specifically, relevant A2S integrated MIoT architectures are discussed together with the role of their building blocks. Next, we introduce the enabling technologies, including the sensor, communication, data processing and storage, and security and privacy protection techniques. Then, resource allocation, cloud/edge computing and caching, routing protocols, and spatial location optimization in the maritime environment are discussed and grouped based on their performance targets. Additionally, we also show the potential applications of the A2S integrated MIoT in marine environment monitoring, traffic, navigation safety, and resources management. Finally, several future challenges in the area of the A2S integrated MIoT are given, related to the technical security, reliability, and energy efficiency, etc.

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“…Sea fog is a common meteorological disaster in offshore and coastal areas, often with a large concentration, a low contrast of images containing fog [1,2], and serious loss of details, which hinders the normal operation of maritime target monitoring and visual navigation assisted by unmanned aerial vehicle (UAV) stations [3][4][5]. Therefore, effective sea fog removal methods have important research significance for transportation, fishery, military, and other activities [6][7][8]. The formation of sea fog consists of two steps: condensation of water vapor and low-level accumulation of fog droplets.…”

Section: Introductionmentioning

confidence: 99%

A Sea Fog Image Defogging Method Based on the Improved Convex Optimization Model

Huang,

Li,

Niu

et al. 2023

JMSE

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Due to the high fog concentration in sea fog images, serious loss of image details is an existing problem, which reduces the reliability of aerial visual-based sensing platforms such as unmanned aerial vehicles. Moreover, the reflection of water surface and spray can easily lead to overexposure of images, and the assumed prior conditions contained in the traditional fog removal method are not completely valid, which affects the restoration effectiveness. In this paper, we propose a sea fog removal method based on the improved convex optimization model, and realize the restoration of images by using fewer prior conditions than that in traditional methods. Compared with dark channel methods, the solution of atmospheric light estimation is simplified, and the value channel in hue–saturation–value space is used for fusion atmospheric light map estimation. We construct the atmospheric scattering model as an improved convex optimization model so that the relationship between the transmittance and a clear image is deduced without any prior conditions. In addition, an improved split-Bregman iterative method is designed to obtain the transmittance and a clear image. Our experiments demonstrate that the proposed method can effectively defog sea fog images. Compared with similar methods in the literature, our proposed method can actively extract image details more effectively, enrich image color and restore image maritime targets more clearly. At the same time, objective metric indicators such as information entropy, average gradient, and the fog-aware density evaluator are significantly improved.

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Double-Edge Computation Offloading for Secure Integrated Space–Air–Aqua Networks

Cited by 16 publications

References 41 publications

Comprehensive Analysis of Maritime Cybersecurity Landscape Based on the NIST CSF v2.0

Comprehensive Analysis of Maritime Cybersecurity Landscape Based on the NIST CSF v2.0

A Survey on Air-to-Sea Integrated Maritime Internet of Things: Enabling Technologies, Applications, and Future Challenges

A Sea Fog Image Defogging Method Based on the Improved Convex Optimization Model

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