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INTRODUCTION                                              MMS in a real environment where the blo-
                                                                      ckchain  client  runs on devices with limited
                With the exponential increase in cyberattacks and     computational resources; and
            their impacts [1]–[4], nations worldwide seek solutions
            to defend their cyber domains. Blockchain technolo-       Analyze, through experiments, the system’s
            gy, which becomes mainstream in the financial sector      overall performance and quantitatively de-
            in the last decade due to its wide proved capabilities,   termine the blockchain technology overhe-
            now is spreading its application to the military, helping   ad, evaluating if its performance meets desi-
            to leverage security in critical systems [5]. Due to the   rable QoS levels.
            growing use of the Internet of Things (IoT) in the mar-
            itime environment, with applications on autonomous  RELATED WORK
            shipping, navigation, monitoring, and other  critical
            applications, the need for a secure and reliable com-  Different works discuss blockchain technology
            munication system is bold [6]. Moreover, data in [7]   applications in monitoring systems. Al-Sahan et al. [9]
            show an increase of 900%  in maritime cyberattacks   present a permissioned blockchain implementation on
            in the last three years, evidencing the need for security   Fabric to build a public national surveillance system,
            tools that can help to mitigate cyberelectronic vulner-  integrating a heterogeneous array of entities composed
            abilities [8]. Blockchain-based systems could play an   by public and private stakeholders. This system com-
            important role in that matter, leveraging data security   bines blockchain decentralized properties with  ma-
            through decentralization and sophisticated cryptogra-  chine learning algorithms designed for facial recogni-
            phy mechanisms.                                   tion, allowing the system to precisely identify people
                                                              through a surveillance system widely distributed. The
                This work focus on the vulnerabilities of a nation-  authors emphasize the Fabric’s modular framework as
            al scale Maritime Monitoring System (MMS), where   a key feature to effectively integrate different surveil-
            the sensing devices are isolated and often in dangerous   lance subsystems. They also demonstrate that Fabric
            environments. In this scenario, attackers could try to   deals with large amounts of data, delivering  a good
            tamper with physical sensors or even modify data from   overall performance.
            RF (Radio Frequency) communication channels, com-
            promising  data integrity  and authenticity  [6].  In  an   Rahimi et al. [6] develop a solution using an
            even worst scenario,  they could use tactics  similar   Ethereum blockchain to secure data in an MMS. Their
            to the ones in the SolarWinds hacking [1] to access the   system uses buoys and unmanned aerial vehicles (UAV)
            MMS database and put the system availability at risk.  to gather maritime sensing data and send it to a Data
                                                              Fusion  Center  ashore through a mesh topology net-
                To  overcome  these  risks, we  propose  a  block-  work. The authors suggest a Proof of Authority con-
            chain-based MMS that could secure the integrity, au-  sensus protocol, more energy-efficient and tailored to
            thenticity, and availability of sensing data from ves-  a permissioned blockchain. Through MATLAB simu-
            sel traffic services and relevant for life’s safety at sea.   lations, the authors evaluate the performance of the
            Permissioned blockchain restrains the access of entities   system in terms of delay and throughput. Blockchains
            through cryptography mechanisms, being more suit-  result in an overhead of 13 18% in delay and 12 16%
            able to an MMS. We also evaluate how this solution   in throughput, which are acceptable QoS levels.
            meets Quality of Service (QoS) requirements in terms
            of time response and management of large amounts of   Melo et al. [10] present a comprehensive frame-
            data. The main contribution of this paper is three-fold:  work that  describes how to implement a block-
                                                              chain-based system to monitor and protect critical in-
                     Develop  a  functional  permissioned  blo-  frastructures, securing data availability and integrity.
                     ckchain  MMS  prototype,  implemented  on   The authors compare the performance of two distinct
                     Fabric platform, that receives and stores sen-  blockchain implementations using the Ethereum and
                     sing data;                               Fabric platforms. Their analysis shows Fabric’s slight
                     Integrate the prototype to a low-cost Auto-  advantage in terms of throughput, modular frame-
                     matic Identification System (AIS) receiver,   work, and better development tools. In turn, Ethereum
                     developed by the Brazilian Navy,  demons-  presents a simpler configuration and well predictable
                     trating the feasibility of a blockchain-based   costs.




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