A secure anonymous tracing fog-assisted method for the Internet of Robotic Things

Abstract

PurposeEmploying a fog computing (FC) network system in the robotic network system is an effective solution to support robotic application issues. The interconnection between robotic devices through an FC network can be referred as the Internet of Robotic Things (IoRT). Although the FC network system can provide number of services closer to IoRT devices, it still faces significant challenges including real-time tracing services and a secure tracing services. Therefore, this paper aims to provide a tracking mobile robot devices in a secure and private manner, with high efficiency performance, is considered essential to ensuring the success of IoRT network applications.Design/methodology/approachThis paper proposes a secure anonymous tracing (SAT) method to support the tracing of IoRT devices through a FC network system based on the Counting Bloom filter (CBF) and elliptic curve cryptography techniques. With the proposed SAT mechanism, a fog node can trace a particular robot device in a secure manner, which means that the fog node can provide a service to a particular robot device without revealing any private data such as the device's identity or location.FindingsAnalysis shows that the SAT mechanism is both efficient and resilient against tracing attacks. Simulation results are provided to show that the proposed mechanism is beneficial to support IoRT applications over an FC network system.Originality/valueThis paper represents a SAT method based on CBF and elliptic curve cryptography techniques as an efficient mechanism that is resilient against tracing attacks.

Guest editorial: Social robots, services and applications

“…Basudan (2022) presented an efficient attribute-based data sharing scheme to enforce security and access control over health sensing data on the Internet of Medical Robotic Things (IoMRT). Alamer (2022) discussed tracking mobile robot devices for a secure framework of the Internet of Robotic Things (IoRT) network applications by a secure, anonymous tracing method. Readers may also be interested in reading Yang and Liao (2010) on using robot meta-tags to allow or refuse software robots on websites and express webmasters' online copyright authorization policies.…”

Robotics cyber security: vulnerabilities, attacks, countermeasures, and recommendations

“…This solution aims to provide additional secret coding, data aggregation, data protection and communications for network addressing and the targeted control of robotic devices. Alamer presented a Secure Anonymous Tracing (SAT) fog-assisted method that supports the tracing of Internet of Robotic Things (IoRT) through a Fog Computing (FC) network system [327]. SAT is based on the Counting Bloom Filter (CBF) method and the Elliptic Curve Cryptog-raphy (ECC) technique.…”

A puncturable attribute-based data sharing scheme for the Internet of Medical Robotic Things

“…BF encryption helps attaining puncturable encryption via employing a BF framework (Xue et al, 2019;Alamer, 2020;Einziger and Friedman, 2017). This structure defines a set S and introduces an element to it, thus locating whether this element is in the S. A vacant array with d bits long is constructed for a BF.…”

“…Robots are gradually moving into our homes and institutions. Future households, nursing homes and hospitals will be more densely populated with social robots interacting with family members and patients (Alamer, 2020; Asemi et al , 2020). Therefore, the adoption of robots as new household members at home as well as the delegation of specific nursing tasks to robots in nursing homes and in hospitals importantly shapes our attitudes towards our mechanical friends.…”