Bump in the wire (BITW) security solution for a marine ROV remote control application

Rao, Muzaffar; Newe, Thomas; Omerdić, Edin; Kaknjo, Admir; Elgenaidi, Walid; Mathur, Avijit; Dooly, Gerard; Lewis, Elfed; Toal, Daniel

doi:10.1016/j.jisa.2018.01.001

Cited by 4 publications

(3 citation statements)

References 7 publications

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“…The presented latencies are for video which was compressed but not encrypted. Latency measurement which includes video encryption is ongoing using the methodology presented in [44,45]. compressed video stream is quite stable, the throughput of the H.264 stream oscillates.…”

Section: One-way Network Transmission Latency Measurements In Video Smentioning

confidence: 99%

Real‐Time Video Latency Measurement between a Robot and Its Remote Control Station: Causes and Mitigation

Kaknjo

Rao

Omerdić

et al. 2018

Wireless Communications and Mobile Computing

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This work presents a detailed study, characterization, and measurement of video latency in a real-time video streaming application. The target application consists of an automatic control system in the form of a control station and the mini Remotely Operated Vehicle (ROV) equipped with a camera, which is controllable over local area network (LAN) and the Internet. Control signal transmission and feedback measurements to the operator usually impose real-time constraints on the network channel. Similarly, the video stream, which is required for the normal system control and maneuvering, imposes further strict requirements on the network in terms of bandwidth and latency. Based on these requirements, controlling the system in real time through a standard Internet connection is a challenging task. The measurement of important network parameters like availability, bandwidth, and latency has become mandatory for remotely controlling the system in real time. It is necessary to establish a methodology for the measurement of video and network latency to improve the real-time controllability and safety of the system as such measurement is not possible using existing solutions due to the following reasons: insufficient accuracy, relying on the Internet resources such as generic Network Time Protocol (NTP) servers, inability to obtain one-way delay measurement, and many solutions only having support for web cameras. Here, an efficient, reliable, and cost-effective methodology for the measurement of latency of a video stream over a LAN and the Internet is proposed. A dedicated stratum-1 NTP server is used and the necessary software needed for acquiring and measuring the latency of a video stream from a generic IP camera as well as integration into the existing ROV control software was developed. Here, by using the software and dedicated clock synchronization equipment (NTP server), it was found that normal video latencies in a LAN were in the range of 488ms -850ms, while latencies over the Internet were measured to be in the range of 558ms -1211ms. It is important to note that the values were obtained by using a generic (off-the-shelf) IP camera and they represent the actual latencies which might be experienced during control over long range and across international territory borders.

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Section: One-way Network Transmission Latency Measurements In Video Smentioning

confidence: 99%

Real‐Time Video Latency Measurement between a Robot and Its Remote Control Station: Causes and Mitigation

Kaknjo

Rao

Omerdić

et al. 2018

Wireless Communications and Mobile Computing

Self Cite

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“…The encryption technique presented in Ref. [45] was applied to video stream data and transferred over the Internet using software designed to support video and network latency measurement. The stream was encrypted by using the efficient high speed AES algorithm, which is considered to be the most suitable for encryption of the real-time video in terms of speed and frame size overhead [46].…”

Section: Literature Reviewmentioning

confidence: 99%

“…These application nodes run on FPGA targets and are responsible for encryption and decryption of data. The BITW (bump-in-the-wire) security solution, which is explained in [45], has been applied to video data for the purpose of this work. The efficient AES encryption algorithm implementation is used for encryption/decryption of the data.…”

Section: Proposed Video Latency Measurement Techniquementioning

confidence: 99%

Real-Time Secure/Unsecure Video Latency Measurement/Analysis with FPGA-Based Bump-in-the-Wire Security

Kaknjo

Rao

Omerdić

et al. 2019

Sensors

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With the growth of the internet of things (IoT), many challenges like information security and privacy, interoperability/standard, and regulatory and legal issues are arising. This work focused on the information security issue, which is one of the primary challenges faced by connected systems that needs to be resolved without impairing system behaviour. Information, which is made available on the Internet by the things, varies from insensitive information (e.g., readings from outdoor temperature sensors) to extremely sensitive information (e.g., video stream from a camera) and needs to be secured over the Internet. Things which utilise cameras as a source of information pertain to a subclass of the IoT called IoVT (internet of video things). This paper presents secured and unsecured video latency measurement results over the Internet for a marine ROV (remotely operated vehicle). A LabVIEW field programmable gate arrays (FPGAs)-based bump-in-the-wire (BITW) secure core is used to provide an AES (advanced encryption standard)-enabled security feature on the video stream of an IoVT node (ROV equipped with a live-feed camera). The designed LabVIEW-based software architecture provides an option to enable/disable the AES encryption for the video transmission. The latency effects of embedding encryption on the stream with real-time constraints are measured and presented. It is found that the encryption mechanism used does not greatly influence the video feedback performance of the observed IoVT node, which is critical for real-time secure video communication for ROV remote control and piloting. The video latency measurement results are taken using 128, 256 and 512 bytes block lengths of AES for both H.264 and MJPEG encoding schemes transmitted over both TCP and UDP transmission protocols. The latency measurement is performed in two scenarios (i.e., with matching equipment and different equipment on either end of the transmission).

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“ROVer”-Low-Cost ROV for Innovative Ocean Education and Discovery

Song¹,

Zhao

2020

2020 International Conference on Computers, Information Processing and Advanced Education (CIPAE)

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Bump in the wire (BITW) security solution for a marine ROV remote control application

Cited by 4 publications

References 7 publications

Real‐Time Video Latency Measurement between a Robot and Its Remote Control Station: Causes and Mitigation

Real‐Time Video Latency Measurement between a Robot and Its Remote Control Station: Causes and Mitigation

Real-Time Secure/Unsecure Video Latency Measurement/Analysis with FPGA-Based Bump-in-the-Wire Security

“ROVer”-Low-Cost ROV for Innovative Ocean Education and Discovery

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