Distance bounding a practical security solution for real time location systems

The document discusses several common IoT networking protocols: - MQTT is a lightweight publish/subscribe protocol that works over TCP/IP and supports three quality of service (QoS) levels. - CoAP is designed for constrained devices and machine-to-machine communication using a RESTful request/response model over UDP. It defines four message types. - XMPP supports publish/subscribe messaging over TCP and uses XML, allowing for interoperability and extensibility. - AMQP is optimized for financial applications using a binary protocol over TCP, and guarantees message delivery through different levels like at-least-once and exactly-once.

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Qiang Yu

Qiang Yu is an embedded/software system architect and consultant based in Bristol, UK. He has over 10 years of experience in product development, hardware, firmware, and software architecture design. His experience includes developing low power wireless applications, network stacks, safety critical systems, hardware interfaces, and software architectures for clients such as Atkins, Expro, Schlumberger, and Gunnebo. Previously, he worked as a lead software engineer and senior software engineer for companies such as Gunnebo Entrance Control and Knorr-Bremse Rail Systems, developing real-time safety critical embedded software. He has skills in areas such as C/C++, .NET, Linux, TCP/IP, and software/

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Modeling self-adaptative IoT architectures

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This document proposes a domain-specific language (DSL) to model self-adaptive Internet of Things (IoT) architectures. The DSL allows modeling IoT systems with multiple layers including device, edge, fog, and cloud layers. It also models deployment of container-based applications across these layers. The DSL includes a sublanguage for expressing self-adaptation rules to enable systems to dynamically adapt to changes at runtime. Example adaptation rules and a tool for generating IoT system configurations from models are presented. Future work includes expanding the DSL to model more complex adaptation strategies and validating the approach in industrial settings.

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This document provides a summary of Qiang Yu's experience as an Embedded/Software System Architect and Consultant based in Bristol, UK. It includes details of his role and responsibilities in previous positions at Eastinco Ltd, Gunnebo Entrance Control, and Knorr-Bremse Rail Systems (UK) Ltd where he developed firmware, software, and embedded systems using languages like C, C++, and C# on platforms such as ARM, PIC, and multicore systems. It also lists his skills in areas like architecture, systems, languages, tools, and technologies.

Distance bounding

Harish Kumar

Distance bounding protocols cryptographically determine an upper bound for the physical distance between communicating parties based on the round-trip time of challenge-response pairs. This paper discusses implementing such protocols for secure neighbor detection in industrial RFID and real-time location systems. It provides an overview of distance bounding and examines sample protocols to illustrate practical requirements, performance tradeoffs, and remaining challenges for implementation. Distance bounding provides cryptographic assurance of proximity without requiring additional device information and is adaptable for various communication architectures.

A Location Based Cryptosystem For Mobile Devices Using Improved Rabin Algorithm

Editor IJMTER

As per the recent studies, the volatile growth has been seen in the use of mobile devices as the supporting technology for accessing Internet based services, as well as for personal communication needs in networking. Various studies indicate that it is impossible to utilize strong cryptographic functions for implementing security protocols on mobile devices. Our research negates this. Explicitly, a performance analysis focused on the most commonly used cryptographic protocols based on the location address (latitude & longitude) of the user for mobile applications and projected provably secure authentication protocol that is more efficient than any of the prevailing authentication protocol is being used by the network security methods. Understanding the use of public key cryptography which makes potential use of discrete logarithms problem. The security of ECC depends on the difficulty of Elliptic Curve Discrete Logarithm. To provide secure communication for mobile devices, authenticated protocol is an important primitive for establishing trusted connection. In this paper, it has been shown that the location based system using improved Rabin Algorithm provides a better security and acquires much less energy consumption than the existing authentication protocols.

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PositiveTechnologies

This document provides information about Positive Technologies, a leading cybersecurity company focused on telecom security. Some key points: - Positive Technologies has 19 years of experience in enterprise cybersecurity R&D and 9 years focused on telecom security. It has two R&D centers in Europe. - The company performs over 60 security assessments per year for telecom operators and was the first vendor focused on end-to-end cybersecurity for mobile operators. - Positive Technologies has a global presence with offices in 10 countries and has performed projects in 41 countries. - As a pioneer in signaling security research, the company has published numerous reports on vulnerabilities in 2G-5G networks and standards over the past

© 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal ...

This document summarizes a research paper that proposes implementing and analyzing cryptography techniques for 5G applications using Xilinx. It discusses how lightweight cryptography plays an important role in securing data for devices with limited resources in IoT and 5G networks. The research aims to develop an efficient VLSI architecture for a lightweight encryption algorithm and compare its performance to existing algorithms. It will simulate the design using Verilog code in Xilinx and evaluate performance metrics like latency, area, power consumption and throughput.

Evolving Fast Fourier Transform and Deoxyribonucleic Acid for Security of RFI...

This document discusses a proposed hybrid technique that combines Fast Fourier Transform (FFT) and Deoxyribonucleic acid (DNA) sequence operations to improve security in Radio Frequency Identification (RFID) authentication protocols. The technique encrypts data using both FFT and DNA encryption methods instead of relying on a single encryption technique. Experimental results show the hybrid technique provides stronger security and faster transmission speeds compared to existing elliptic curve cryptography techniques. It can resist man-in-the-middle, replay, and impersonation attacks. The hybrid technique applies FFT and DNA encryption to the RFID authentication process between a tag and reader.

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This document discusses user authentication techniques for office environments. It begins with an abstract that outlines challenges with traditional authentication methods like passwords and fingerprints. It then reviews literature on various biometric and behavior-based authentication techniques using sensors in mobile devices. These include techniques using gait, keystrokes, touch signals, voice and multimodal approaches. The document also discusses authentication in multi-server environments and implementing a zero-trust architecture. Finally, it summarizes various papers on continuous authentication using biometrics and behavior metrics to authenticate users throughout a session rather than just at login.

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1) The document discusses deploying an Ultra-Wideband (UWB) indoor positioning system (IPS) in a manufacturing factory for high-precision location tracking as part of Industry 4.0 initiatives. 2) Key challenges in deploying UWB IPS in a factory environment include radio signal reflections off metal surfaces, ensuring line-of-sight between tags and sensors, and strategic sensor placement and tag wearing. 3) Techniques to improve positioning accuracy include implementing Kalman filtering on position data and considering factors like tag placement, sensor density, and signal obstructions. The UWB IPS framework incorporates hardware, positioning algorithms, and a dashboard interface.

Real-Time WebRTC based Mobile Surveillance System

Dr. Amarjeet Singh

The rapid growth that has taken place in Computer Vision has been instrumental in driving the advancement of Image processing techniques and drawing inferences from them. Combined with the enormous capabilities that Deep Neural networks bring to the table, computers can be efficiently trained to automate the tasks and yield accurate and robust results quickly thus optimizing the process. Technological growth has enabled us to bring such computationally intensive tasks to lighter and lower-end mobile devices thus opening up a wide range of possibilities. WebRTC-the open-source web standard enables us to send multimedia-based data from peer to peer paving the way for Real-time Communication over the Web. With this project, we aim to build on one such opportunity that can enable us to perform custom object detection through an android based application installed on our mobile phones. Therefore, our problem statement is to be able to capture real-time feeds, perform custom object detection, generate inference results, and appropriately send intruder alerts when needed. To implement this, we propose a mobile-based over-the-cloud solution that can capitalize on the enormous and encouraging features of the YOLO algorithm and incorporate the functionalities of OpenCV’s DNN module for providing us with fast and correct inferences. Coupled with a good and intuitive UI, we can ensure ease of use of our application.

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The document proposes a real-time mobile surveillance system using WebRTC. It utilizes computer vision techniques like YOLO for object detection on live video feeds captured by an Android application. The feeds are sent to a NodeJS server and then to a Flask server using REST APIs where OpenCV's DNN module performs inference. Detected objects and alerts are then sent back to the Android device. The system aims to provide low-latency, remote surveillance capabilities using mobile devices and over-the-cloud solutions.

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The document discusses wireless body area networks and wireless sensor networks. It describes the goals of the project which are to implement the Tate pairing and Weil pairing protocols, analyze their performance with respect to time and memory consumption, and implement the better performing one for security purposes. The document provides background on sensor network technology, including how sensors have evolved from large specialized systems to smaller low-power devices. It outlines some of the applications of wireless sensor networks.

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The use of wireless technology in industrial automation systems offers a number of potential benefits, from the obvious cost reduction brought about by the elimination of wiring to the availability of better plant information, improved productivity and better asset management. However, its practical implementation faces a number of challenges: not least the present lack of a universally agreed standard. This whitepaper looks at some of these challenges and presents the approach being taken by Yokogawa.

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On the basis of this study ideas were explored, some of the different devices, techniques and aspects that influenced the formation of different rescue and protection systems. The research in various dimensions on the topic helped in enhancement of the knowledge in this field of technology. Analysis of each and every side of this project was done. The motive also constituted of expanding the applications of the project. In the past times, the rescue and protection systems which were constructed were bulky and slow. Here in this project, the aim is to reduce the size and increase its time efficiency using the ZigBee technology. There have been instances in the news over the past few years in which we have seen lack of responsibility for the people working in life threatening situations which even led to disasters some of the times. After examining different areas of the same we have come on the terms of agreement with the fact that this problem requires a lot of concern. Taking up the responsibility to eradicate such issues we finally decided to come up with the solution removing all the problems.

Secured authentication of radio-frequency identification system using PRESENT...

IJECEIAES

This document presents a study on securing authentication in an Internet of Things (IoT)-based radio-frequency identification (RFID) system using the lightweight PRESENT block cipher algorithm. The PRESENT-256 cipher is used to mutually authenticate an RFID tag and reader in a two-stage process: tag recognition by the reader and mutual authentication between the tag and reader using PRESENT-80/128/256 cipher modules in electronic codebook mode. The authentication scheme is simulated using FPGA results verified with ChipScope tools. Resource usage is analyzed and found improved compared to existing PRESENT ciphers and lightweight algorithms. The secured authentication approach is also compared favorably to similar RFID mutual authentication methods.

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Internet of Things (IoT) offers reliable and seamless communication for the heterogeneous dynamic lowpower and lossy network (LLNs). To perform effective routing in IoT communication, LLN Routing Protocol (RPL) is developed for the tiny nodes to establish connection by using deflaut objective functions: OF0, MRHOF, for which resources are constraints like battery power, computation capacity, memory communication link impacts on varying traffic scenarios in terms of QoS metrics like packet delivery ratio, delay, secure communication channel. At present, conventional Internet of Things (IoT) are having secure communication channels issue for transmission of data between nodes. To withstand those issues, it is necessary to balance resource constraints of nodes in the network. In this paper, we developed a security algorithm for IoT networks with RPL routing. Initially, the constructed network in corporates optimizationbased deep learning (reinforcement learning) for route establishment in IoT. Upon the establishment of the route, the ClonQlearn based security algorithm is implemented for improving security which is based onaECC scheme for encryption and decryption of data. The proposed security technique incorporates reinforcement learning-based ClonQlearnintegrated with ECC (ClonQlearn+ECC) for random key generation. The proposed ClonQlearn+ECCexhibits secure data transmission with improved network performance when compared with the earlier works in simulation. The performance of network expressed that the proposed ClonQlearn+ECC increased the PDR of approximately 8% - 10%, throughput of 7% - 13%, end-to-end delay of 5% - 10% and power consumption variation of 3% - 7%.

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