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Security and Effectiveness Analysis of the Gateway Integrity Checking Protocol

IEEE TRANSACTIONS ON DEPENDABLE AND secure COMPUTING 2022年第4期19卷 2396-2404页

作者： de Lucena, Mateus M. Frohlich, Antonio Augusto Univ Fed Santa Catarina BR-88040900 Florianopolis SC Brazil

Industrial Internet of Things (IIoT) gateways connected to the Internet are often based on conventional operating systems such as Linux and on conventional communication protocols such as HTTPS and therefore are valuable targets for malicious attackers. When compromised, a malicious IIoT gateway can interfere with data exchanged between IIoT devices and systems running on servers or the Cloud. The Gateway Integrity Checking Protocol (GIP), proposed in previous work, defines a gossip mechanism to collect data from sets of IIoT devices to respond to security challenges issued by an External Security Agent (ESA) to assess a gateway's trustworthiness. GIP relies on a secure channel between IIoT devices and the ESA, which is achieved using a Public Key Infrastructure (PKI) for message authentication and encryption. In this article, we perform an analysis of the security measures employed by GIP, using formal descriptions to demonstrate that GIP is no less secure than the hash algorithm and the public key infrastructure used. Additionally, we simulate different configurations of GIP to measure detection rate and time to detect integrity faults.

关键词： Logic gates protocols Security Industrial Internet of Things Public key Internet Cloud computing Network Security IIoT gateway secure communication protocols gateway integrity checking

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Ensuring Data Security in eLearning: Challenges and Solutions

Ensuring Data Security in eLearning: Challenges and Solution...

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International Conference on Computational Science and Computational Intelligence (CSCI)

作者： Jorayeva, Shirin Eyadat, Mohammad S. Calif State Univ Informat Syst & Operat Management Los Angeles CA 90032 USA

ISBN: (纸本)9798350361513;9798350372304

eLearning has become the new nor i education after the COVID19 pandemic. The era of internet and mobile technologies is an integral part of the shift from traditional methods to eLearning and teaching pedagogies. Therefore, a notable growth in the utilization of communication technology in a variety of forms raises concerns about privacy and security. Data security issues have been getting much more attention as eLearning is becoming the trend of teaching modality. eLearning environments are now potential targets for data leakage attacks, which may cause privacy violations along with other negative effects. This leads to many challenges in the eLearning environment. This paper examines the problems with authentication, encryption, and the use of third party platforms that eLearning presents for data security. In addition, the study offers recommendations for eLearning data security, such as the usage of multifactor authentication, secure communication protocols, and data encryption. This paper also offers insights into how eLearning providers may safeguard their users' data and make sure that learning environments are secure through analysis of current trends and the best practices in data security.

关键词： eLearning Data Security-encryption Third-party Platforms Multi-factor Authentication secure communication protocols

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Data Privacy and Confidentiality in Healthcare Applications of IoT-Enabled Wireless Sensor Networks 2

Data Privacy and Confidentiality in Healthcare Applications ...

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2nd International Conference on Smart Technologies for Smart Nation, SmartTechCon 2023

作者： Vinola, C. Solainayagi, P. Kuppusamy, P.G. Premi, Godwin Srinivasan, C. Department of Computer Science and Engineering Sri Sairam College of Engineering Anekal Karnataka Bengaluru India Department of Computer Science and Engineering Aarupadai Veedu Institute of Technology Tamil Nadu Paiyanoor India Andhra Pradesh Puttur India Department of Electronics and Communication Engineering Sathyabama Institute of Science and Technology Tamil Nadu Chennai India Department of Computer Science and Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Tamil Nadu Chennai India

ISBN: (纸本)9798350305418

In this paper, a comprehensive framework for protecting sensitive healthcare information in Internet of Things (IoT)-enabled Wireless Sensor Network (WSN) is presented. Sensitive medical data is protected by the proposed architecture's usage of secure data transmission protocols, encryption, access control, and authentication. It also looks at how the General Data Protection Regulation (GDPR) and other data privacy regulations might affect IoT-enabled healthcare infrastructure. The study results indicate a need for more privacy and security education and implementation throughout the healthcare, technology, government, and user communities. The need of teaching healthcare professionals and patients about the dangers of sharing personal information online and the importance of managing data ethically is discussed. New loopholes and dangers can only be patched if security is regularly assessed, audited, and improved. This research paper sheds light on the problems of privacy and confidentiality in WSN healthcare applications enabled by the Internet of Things. The effort aims to safeguard and defend healthcare IoT adoption and enhance patient care by offering a complete framework that emphasizes regulatory compliance and appropriate data management. © 2023 IEEE.

关键词： Data Privacy Data Security Encryption secure communication protocols Wireless Sensor Networks

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secure IoT-Based Health Monitoring with Cloud-Based Machine Learning Analytics 1

Secure IoT-Based Health Monitoring with Cloud-Based Machine ...

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1st International Conference on Artificial Intelligence for Innovations in Healthcare Industries, ICAIIHI 2023

作者： Deshmukh, Ram Gubbala, Arshini Pravallika, B. Dutt, Amit Ahmed Al-Jumaili, Ahmed Sabah Manjunatha School of Engineering Sr University Telangana Warangal India Department of Electronics and Computer Engineering Visakhapatnam India Institute of Aeronautical Engineering Dundigal Hyderabad India Lovely Professional University Phagwara India Baghdad Iraq New Horizon College of Engineering Department of Mechanical Engineering Bangalore India

ISBN: (纸本)9798350330915

The development and deployment of an efficient and trustworthy Internet of Things-based health monitoring system are presented in this study. The system uses biometric authentication, a PKI framework, TLS, and MQTT for secure communication, as well as identification of users to guarantee data confidentiality. Real-time health data analysis with predictive analytics as well as anomaly detection is made possible by cloud-based machine learning analytics on platforms such as AWS. Evaluation in a range of healthcare environments demonstrates just how flexible and resilient the system is. Despite the achievements, there are still obstacles to overcome, such as problems with the current healthcare infrastructure's interoperability in addition to worries about the scalability of resource-intensive machine learning algorithms. It is imperative that these issues be resolved in order to continue enhancing and enhancing the system and ensuring that it has the capacity to completely transform healthcare procedures. © 2023 IEEE.

关键词： Biometric Authentication Cloud-based Machine Learning Analytics Healthcare System Optimization IoT-based Health Monitoring secure communication protocols

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Analysis of LoRaWAN 1.0 and 1.1 protocols Security Mechanisms

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SENSORS 2022年第10期22卷 3717-3717页

作者： Loukil, Slim Fourati, Lamia Chaari Nayyar, Anand Chee, K. -W. -A. Univ Sfax Higher Inst Business Adm Sfax 3018 Tunisia ISIMS & SM RTS CRNS Lab Signals Syst ARtificial I Sfax 3018 Tunisia Duy Tan Univ Grad Sch Fac Informat Technol Da Nang 550000 Vietnam Kyungpook Natl Univ Sch Elect & Elect Engn Daegu 41566 South Korea Kyungpook Natl Univ Sch Elect Engn Coll IT Engn Daegu 41566 South Korea

LoRaWAN is a low power wide area network (LPWAN) technology protocol introduced by the LoRa Alliance in 2015. It was designed for its namesake features: long range, low power, low data rate, and wide area networks. Over the years, several proposals on protocol specifications have addressed various challenges in LoRaWAN, focusing on its architecture and security issues. All of these specifications must coexist, giving rise to the compatibility issues impacting the sustainability of this technology. This paper studies the compatibility issues in LoRaWAN protocols. First, we detail the different protocol specifications already disclosed by the LoRa Alliance in two major versions, v1.0 and v1.1. This is done through presenting two scenarios where we discuss the communication and security mechanisms. In the first scenario, we describe how an end node (ED) and network server (NS) implementing LoRaWAN v1.0 generate session security keys and exchange messages for v1.0. In the second scenario, we describe how an ED v1.1 and an NS v1.1 communicate after generating security session keys. Next, we highlight the compatibility issues between the components implementing the two different LoRaWAN Specifications (mainly v1.0 and v1.1). Next, we present two new scenarios (scenarios 3 and 4) interchanging the ED and NS versions. In scenario three, we detail how an ED implementing LoRaWAN v1.1 communicates with an NS v1.0. Conversely, in scenario four, we explain how an ED v1.0 and an NS v1.1 communicate. In all these four scenarios, we highlight the concerns with security mechanism: show security session keys are generated and how integrity and confidentiality are guaranteed in LoRaWAN. At the end, we present a comparative table of these four compatibility scenarios.

关键词： Internet of Things LoRaWAN secure communication protocols compatibility scenarios

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Experiences with deploying Compressive Sensing and Matrix Completion techniques in IoT devices 19

Experiences with deploying Compressive Sensing and Matrix Co...

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19th IEEE International Workshop on Computer Aided Modeling and Design of communication Links and Networks (CAMAD)

作者： Fragkiadakis, Alexandros Charalampidis, Pavlos Papadakis, Stefanos Tragos, Elias Fdn Res & Technol Hellas FORTH ICS Inst Comp Sci Iraklion Crete Greece

ISBN: (纸本)9781479957255

The Internet of Things (IoT) presents itself as a promising set of technologies for providing innovative smart applications in a number of domains, spreading from agriculture to buildings and industrial control. For providing smart applications in the various domains, large numbers of devices must be deployed within large areas, communicating wirelessly with each other. These IoT devices are mainly resource constrained, with limited computing capabilities and battery life. Furthermore, it is well-known that the most energy consuming operations in wireless devices is the wireless transmission. Thus, there is a strict requirement that to prolong the lifetime of these devices, the transmissions must be controlled. Additionally, communication security is a key issue in many smart applications, because, according to recent studies, there is a lack of secure communication protocols in most existing IoT devices. This paper aims to address these two main issues in the IoT world, providing a framework for lightweight encryption and compression of data using the Compressive Sensing theory, and discusses the experiences of the implementation of the framework on real world devices. Moreover, it is also well-known that the transmissions of wireless sensors are very sensitive to packet loss due to concurrent transmissions of other wireless protocols (i.e. WiFi). This paper also presents the implementation of a framework for applying Matrix Completion techniques in real world IoT devices.

关键词： Internet of Things compressed sensing cryptographic protocols data compression telecommunication computing telecommunication security wireless LAN IoT devices compressive sensing lightweight data encryption matrix completion techniques secure communication protocols wireless devices wireless protocols wireless sensor transmissions wireless transmission Discrete cosine transforms Packet loss Sensors Temperature distribution Temperature measurement Wireless sensor networks

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Enforcing Security Mechanisms in the IP-Based Internet of Things: An Algorithmic Overview

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ALGORITHMS 2013年第2期6卷 197-226页

作者： Cirani, Simone Ferrari, Gianluigi Veltri, Luca Univ Parma Dept Informat Engn Parco Area Sci 181-A I-43124 Parma Italy

The Internet of Things (IoT) refers to the Internet-like structure of billions of interconnected constrained devices, denoted as "smart objects". Smart objects have limited capabilities, in terms of computational power and memory, and might be battery-powered devices, thus raising the need to adopt particularly energy efficient technologies. Among the most notable challenges that building interconnected smart objects brings about, there are standardization and interoperability. The use of IP has been foreseen as the standard for interoperability for smart objects. As billions of smart objects are expected to come to life and IPv4 addresses have eventually reached depletion, IPv6 has been identified as a candidate for smart-object communication. The deployment of the IoT raises many security issues coming from (i) the very nature of smart objects, e.g., the adoption of lightweight cryptographic algorithms, in terms of processing and memory requirements;and (ii) the use of standard protocols, e.g., the need to minimize the amount of data exchanged between nodes. This paper provides a detailed overview of the security challenges related to the deployment of smart objects. Security protocols at network, transport, and application layers are discussed, together with lightweight cryptographic algorithms proposed to be used instead of conventional and demanding ones, in terms of computational resources. Security aspects, such as key distribution and security bootstrapping, and application scenarios, such as secure data aggregation and service authorization, are also discussed.

关键词： security lightweight cryptography Internet of Things (IoT) smart objects secure communication protocols secure data aggregation

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Challenges in Implementing an End-to-End secure Protocol for Java ME-Based Mobile Data Collection in Low-Budget Settings 12

Challenges in Implementing an End-to-End Secure Protocol for...

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4th International Symposium on Engineering secure Software and Systems

作者： Gejibo, Samson Mancini, Federico Mughal, Khalid A. Valvik, Remi Klungsoyr, Jorn Univ Bergen Ctr Int Hlth N-5020 Bergen Norway Univ Bergen Dept Informat N-5008 Bergen Norway

ISBN: (纸本)9783642281662

Mobile devices are having a profound impact on how services can be delivered and how information can be shared. Sensitive information collected in remote communities can be relayed to local health care centers and from there to the decision makers who are thus empowered to make timely decisions. However, many of these systems do not systematically address very important security issues which are critical when dealing with such sensitive and private information. In this paper we analyze implementation challenges of a proposed security protocol based on the Java ME platform. The protocol presents a flexible secure solution that encapsulates data for storage and transmission without requiring significant changes in the existing mobile client application. The secure solution offers a cost-effective way for ensuring data confidentiality, both when stored on the mobile device and when transmitted to the server. In addition, it offers data integrity, off-line and on-line authentication, account and data recovery mechanisms, multi-user management and flexible secure configuration. A prototype of our secure solution has been integrated with openXdata.

关键词： Mobile Data Collection Systems Mobile Security secure communication protocols secure mobile data storage secure mobile data transmission Java ME openXdata HTTPS JAD

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secure Mobile Data Collection Systems for Low-Budget Settings

Secure Mobile Data Collection Systems for Low-Budget Setting...

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7th International Conference on Availability, Reliability and Security (ARES)

作者： Mancini, F. Gejibo, S. Mughal, K. A. Valvik, R. A. B. Klungsoyr, J. Univ Bergen Dept Informat N-5008 Bergen Norway Univ Bergen Ctr Int Hlth N-5008 Bergen Norway

ISBN: (纸本)9780769547756

Lack of infrastructures in health care and transportation, combined with the demand for low cost health services and shortage of medical professionals, are some of the known causes for loss of life in low income countries. Mobile Health (a.k.a. mHealth) is an emerging and promising health service delivery concept that utilizes mobile communication technology to bridge the gap between remotely and sparsely populated communities and health care providers. So far, several mHealth applications have been developed and deployed in the field, but many of them do not systematically address the security and privacy issues involved. As sensitive information is stored, exchanged and processed in these systems, issues like privacy, confidentiality, integrity, availability and authentication must be dealt with accordingly. In this paper, we analyze the challenges in securing Mobile Data Collection Systems deployed in remote areas and in low-budget settings, and discuss how one can provide an adequate security solution for such systems.

关键词： mHealth Mobile Data Collection Systems Mobile Security J2ME HTTPS secure communication protocols secure mobile data storage secure mobile data transmission

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secure Adaptive Topology Control for Wireless Ad-Hoc Sensor Networks

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SENSORS 2010年第2期10卷 1251-1278页

作者： Hsueh, Ching-Tsung Li, Yu-Wei Wen, Chih-Yu Ouyang, Yen-Chieh Natl Chung Hsing Univ Grad Inst Commun Engn Dept Elect Engn Taichung 402 Taiwan

This paper presents a secure decentralized clustering algorithm for wireless ad-hoc sensor networks. The algorithm operates without a centralized controller, operates asynchronously, and does not require that the location of the sensors be known a priori. Based on the cluster-based topology, secure hierarchical communication protocols and dynamic quarantine strategies are introduced to defend against spam attacks, since this type of attacks can exhaust the energy of sensor nodes and will shorten the lifetime of a sensor network drastically. By adjusting the threshold of infected percentage of the cluster coverage, our scheme can dynamically coordinate the proportion of the quarantine region and adaptively achieve the cluster control and the neighborhood control of attacks. Simulation results show that the proposed approach is feasible and cost effective for wireless sensor networks.

关键词： secure communication protocols adaptive topology control sensor networks quarantine region

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