Blockchain-Enabled Transfer Learning for Vulnerability Detection and Mitigation in Maritime Logistics

Abstract

With the increasing demand for efficient maritime logistic management, industries are striving to develop automation software. However, collecting data for analytics from diverse sources like shipping routes, weather conditions, historical incidents, and cargo specifications has become a challenging task in the distribution environment. This challenge gives rise to the possibility of faulty products and traditional testing techniques fall short of achieving optimal performance. To address this issue, we propose a novel decentralised software system based on Transfer Learning and blockchain technology named as BETL (Blockchain -Enabled Transfer Learning). Our proposed system aims to automatically detect and prevent vulnerabilities in maritime operational data by harnessing the power of transfer learning and smart contract-driven blockchain. The vulnerability detection process is automated and does not rely on manually written rules. We introduce a non-vulnerability score range map for the effective classification of operational factors. Additionally, to ensure efficient storage over the blockchain, we integrate an InterPlanetary File System (IPFS). To demonstrate the effectiveness of transfer learning and blockchain integration for secure logistic management, we conduct a testbed-based experiment. The results show that this approach can achieve high precision (98.00%), detection rate (98.98%), accuracy (97.90%), and F-score (98.98), which highlights its benefits in enhancing the safety and reliability of maritime logistics processes. Additionally, the computational time of BETL (the proposed approach) was improved by 18.9% compared to standard transfer learning.

Leveraging Artificial Intelligence to Enhance Port Operation Efficiency

“…Due to its ability to process large amounts of data, predict patterns, and automate decision-making processes, artificial intelligence (AI) is revolutionising port operations [5][6][7]. An exploration of the various applications of AI illustrates the advantages and the obstacles encountered when incorporating it into port operations, which include the integration of technologies such as IoT and blockchain and the refinement of operational procedures to boost efficiency, cut down on turnaround times, and optimise resource usage to lower costs and reduce greenhouse gas (GHG) emissions [8][9][10][11][12]. The use of AI to enhance cargo handling processes can greatly accelerate loading and unloading activities, as shown by its implementation at the Port of Rotterdam for predicting the best container placement on ships [13,14].…”