Nov 15, 2022 ·To address this challenge, we introduce FUZZDOCS, a document-basedblack-boxIoTtesting framework designed to automatically analyze publicly accessible API documents about targetIoTdevicesand ...
Machine failures play a significant role in hindering the manufacturingprocess. Machinefailuresoften occur due to loss of bearing lubricant, mechanical defects, or metal fatigue. Identifying such shortcomings in a traditional manufacturingprocessis a challenging task. Aresearchstudywas conducted to analyze critical failures and their effect...See full list on link.springer.comManufacturing companies are working on improvements in the integration of data (Fig. 4). Many platforms offer integration in business and operational views at the data level. The paper proposes an enhanced feature to improve data integration using communication protocols such as MQTT and AMQP. A five-layer architecture was presented, including Mach...See full list on link.springer.comVarious sensors are deployed in IIoT, which monitor the conditions of machines and collect a large load of data. This data is analyzed, and possible solutions are proposed to improve the efficiency of the manufacturing unit. However, these devices are vulnerable to threats and attacks because of a lack of proper security. An improved Rivest-Shamir-...See full list on link.springer.comEver since intelligent manufacturing came into existence, there has been advancement in materials usedforbuilding sensorsfor IoTapplications. It is assumed that nanotechnology and innovative materials systems are the key to overcoming material challenges in intelligent manufacturing. Combinations of insulating materials, ceramic materials, cond...See full list on link.springer.comBlockchain is the most popular technology to develop more efficient and secure transactions. It helps in reducing trust tax. This paper emphasizes security and trust mechanisms using blockchain . It also explains the application of blockchain in quality assurance, one of the essential properties of intelligent manufacturing. Blockchain provides a n...See full list on link.springer.comTherefore, when designing the digital forensicblack-box, one has to consider the reliability of the data collected from theseIoTdevicesthat may be used as evidence.Abstract—The popularity of Internet of Things (IoT)devicescalls for effective yet efficient methods to assess the security and resilience ofIoTdevices. In this work, we explore a new heuristic based on finite state machine (FSM) inference to guide gener-ation of test cases for blackbox fuzzing tests ofIoTnetwork protocol implementations.Jul 9, 2023 ·High scalability and low operating cost makeblack-boxprotocol fuzzing a vital tool for discovering vulnerabilities in the firmware ofIoTsmartdevices. However, it is still challenging to compareblack-boxprotocol fuzzers due to the lack of unified benchmark firmware images, complete fuzzing mutation seeds, comprehensive performance metrics, and a standardized evaluation framework. In this ...Does Black-Box Protocol fuzzing improve the firmware quality of IoT smart devices?Although black-box protocol fuzzing hassuccessfullyimproved the firmware quality of IoT smart devices, there are still many challenges to properly evaluating black-box protocol fuzzing techniques. The first challenge is the lack of unified benchmarks for IoT fuzzing evaluation.What are black-box fuzzing vulnerabilities in IoT devices?The existing black-box fuzzing research on IoT devices mainly focuses on typical vulnerability types such asmemory corruption, command injection, and denial of service[2, 11, 12, 15]. Therefore, the vulnerabilities in the benchmark firmware images should include these types;Will IoT black-box fuzzer evaluations become reproducible?With the adoption of real-world benchmark evaluation frameworks such as IoTFuzzBench, IoT black-box protocol fuzzer evaluationswill become reproducible, allowing researchers to demonstrate the actual contribution of new fuzzing methods.Can Blackbox fuzzing test a COTS IoT device?For many COTS IoT devices whose internal implementa-tion details are unavailable, it is difficult to perform whitebox or even graybox fuzzing tests on them. However blackbox fuzzing through random generation of test casescan be ineffi-cient at discovering their vulnerabilities.Sep 1, 2024 ·These include evidence related to user credentials, log time stamps, Wifi details, potential forensic information, and investigation procedures forIoTdevices. Finally, this study provides prominentIoTforensic use cases along with the key requirements for hardware-level forensic investigation of Wifi modules.
Edge Computing Expansion: Enables low-latency dataprocessingatdevicelevel, reducing bandwidth and improving response times. Smart Infrastructure Expansion: Singapore’s Smart Nation initiatives fuel demand for comprehensiveIoTdevicemanagement and monitoring tools.
