Centralized Fog Computing Security Platform for IoT and Cloud in Healthcare System

2018 ◽  
pp. 141-154 ◽  
Author(s):  
Chandu Thota ◽  
Revathi Sundarasekar ◽  
Gunasekaran Manogaran ◽  
Varatharajan R ◽  
Priyan M. K.
Keyword(s):  
Healthcare System ◽  
Data Transfer ◽  
Fog Computing ◽  
Asynchronous Communication ◽  
Security And Privacy ◽  
Sensor Data ◽  
Cloud Environment ◽  
Authentication And Authorization ◽  
Remote Healthcare ◽  
Secure Authentication

This chapter proposes an efficient centralized secure architecture for end to end integration of IoT based healthcare system deployed in Cloud environment. The proposed platform uses Fog Computing environment to run the framework. In this chapter, health data is collected from sensors and collected sensor data are securely sent to the near edge devices. Finally, devices transfer the data to the cloud for seamless access by healthcare professionals. Security and privacy for patients' medical data are crucial for the acceptance and ubiquitous use of IoT in healthcare. The main focus of this work is to secure Authentication and Authorization of all the devices, Identifying and Tracking the devices deployed in the system, Locating and tracking of mobile devices, new things deployment and connection to existing system, Communication among the devices and data transfer between remote healthcare systems. The proposed system uses asynchronous communication between the applications and data servers deployed in the cloud environment.

Centralized Fog Computing Security Platform for IoT and Cloud in Healthcare System

Fog Computing ◽  
2018 ◽  
pp. 365-378 ◽  
Author(s):  
Chandu Thota ◽  
Revathi Sundarasekar ◽  
Gunasekaran Manogaran ◽  
Varatharajan R ◽  
Priyan M. K.
Keyword(s):  
Healthcare System ◽  
Data Transfer ◽  
Fog Computing ◽  
Asynchronous Communication ◽  
Security And Privacy ◽  
Sensor Data ◽  
Cloud Environment ◽  
Authentication And Authorization ◽  
Remote Healthcare ◽  
Secure Authentication

This chapter proposes an efficient centralized secure architecture for end to end integration of IoT based healthcare system deployed in Cloud environment. The proposed platform uses Fog Computing environment to run the framework. In this chapter, health data is collected from sensors and collected sensor data are securely sent to the near edge devices. Finally, devices transfer the data to the cloud for seamless access by healthcare professionals. Security and privacy for patients' medical data are crucial for the acceptance and ubiquitous use of IoT in healthcare. The main focus of this work is to secure Authentication and Authorization of all the devices, Identifying and Tracking the devices deployed in the system, Locating and tracking of mobile devices, new things deployment and connection to existing system, Communication among the devices and data transfer between remote healthcare systems. The proposed system uses asynchronous communication between the applications and data servers deployed in the cloud environment.

scholarly journals Fog Computing in Medical Internet-of-Things: Architecture, Implementation and Applications

2017 ◽  
Author(s):  
Harishchandra Dubey
Keyword(s):  
Internet Of Things ◽  
Data Storage ◽  
Data Transfer ◽  
Fog Computing ◽  
Speech Disorders ◽  
Security And Privacy ◽  
Physiological Data ◽  
Raspberry Pi ◽  
Cloud Servers

In the era when the market segment of Internet of Things (IoT) tops the chart in various business reports, it is apparently envisioned that the field of medicine expects to gain a large benefit from the explosion of wearables and internet-connected sensors that surround us to acquire and communicate unprecedented data on symptoms, medication, food intake, and daily-life activities impacting one’s health and wellness. However, IoT-driven healthcare would have to overcome many barriers, such as: 1) There is an increasing demand for data storage on cloud servers where the analysis of the medical big data becomes increasingly complex; 2) The data, when communicated, are vulnerable to security and privacy issues; 3) The communication of the continuously collected data is not only costly but also energy hungry; 4) Operating and maintaining the sensors directly from the cloud servers are non-trial tasks.This book chapter defined Fog Computing in the context of medical IoT. Conceptually, Fog Computing is a serviceoriented intermediate layer in IoT, providing the interfaces between the sensors and cloud servers for facilitating connectivity, data transfer, and queryable local database. The centerpiece of Fog computing is a low-power, intelligent, wireless, embedded computing node that carries out signal conditioning and data analytics on raw data collected from wearables or other medical sensors and offers efficient means to serve telehealth interventions. We implemented and tested an fog computing system using the Intel Edison and Raspberry Pi that allows acquisition, computing, storage and communication of the various medical data such as pathological speech data of individuals with speech disorders, Phonocardiogram (PCG) signal for heart rate estimation, and Electrocardiogram (ECG)-based Q, R, S detection. The book chapter ends with experiments and results showing how fog computing could lessen the obstacles of existing cloud-driven medical IoT solutions and enhance the overall performance of the system in terms of computing intelligence, transmission, storage, configurable, and security. The case studies on various types of physiological data shows that the proposed Fog architecture could be used for signal enhancement, processing and analysis of various types of bio-signals.

An Enhanced Cloud Security using Quantum Teleportation

2015 ◽  
Vol 3 (1) ◽  
Author(s):  
D. Sowmya ◽  
S. Sivasankaran
Keyword(s):  
Quantum Key Distribution ◽  
Quantum Teleportation ◽  
Quantum Physics ◽  
Communication Channel ◽  
Data Transfer ◽  
Cloud Security ◽  
The Other ◽  
Cloud Environment ◽  
Quantum Bits ◽  
Quantum Parallelism

In the cloud environment, it is difficult to provide security to the monolithic collection of data as it is easily accessed by breaking the algorithms which are based on mathematical computations and on the other hand, it takes much time for uploading and downloading the data. This paper proposes the concept of implementing quantum teleportation i.e., telecommunication + transportation in the cloud environment for the enhancement of cloud security and also to improve speed of data transfer through the quantum repeaters. This technological idea is extracted from the law of quantum physics where the particles say photons can be entangled and encoded to be teleported over large distances. As the transfer of photons called qubits allowed to travel through the optical fiber, it must be polarized and encoded with QKD (Quantum Key Distribution) for the security purpose. Then, for the enhancement of the data transfer speed, qubits are used in which the state of quantum bits can be encoded as 0 and 1 concurrently using the Shors algorithm. Then, the Quantum parallelism will help qubits to travel as fast as possible to reach the destination at a single communication channel which cannot be eavesdropped at any point because, it prevents from creating copies of transmitted quantum key due to the implementation of no-cloning theorem so that the communication parties can only receive the intended data other than the intruders.

A clogging resistant secure authentication scheme for fog computing services

2021 ◽  
Vol 185 ◽  
pp. 107731
Author(s):  
Zeeshan Ali ◽  
Shehzad Ashraf Chaudhry ◽  
Khalid Mahmood ◽  
Sahil Garg ◽  
Zhihan Lv ◽  
...  
Keyword(s):  
Fog Computing ◽  
Authentication Scheme ◽  
Computing Services ◽  
Secure Authentication

Development of an Ease-of-Use Remote Healthcare System Architecture Using RFID and Networking Technologies

2012 ◽  
Vol 36 (6) ◽  
pp. 3605-3619 ◽  
Author(s):  
Shih-Sung Lin ◽  
Min-Hsiung Hung ◽  
Chang-Lung Tsai ◽  
Li-Ping Chou
Keyword(s):  
Healthcare System ◽  
System Architecture ◽  
Ease Of Use ◽  
Remote Healthcare ◽  
Networking Technologies

A HIPAA Security and Privacy Compliance Audit and Risk Assessment Mitigation Approach

2021 ◽  
Vol 3 (2) ◽  
pp. 28-45
Author(s):  
Young B. Choi ◽  
Christopher E. Williams
Keyword(s):  
Healthcare System ◽  
Information Assurance ◽  
Healthcare Providers ◽  
Security And Privacy ◽  
Privacy Requirements ◽  
Security Controls ◽  
The Us ◽  
Compliance Audit ◽  
And Control ◽  
Health Laws

Data breaches have a profound effect on businesses associated with industries like the US healthcare system. This task extends more pressure on healthcare providers as they continue to gain unprecedented access to patient data, as the US healthcare system integrates further into the digital realm. Pressure has also led to the creation of the Health Insurance Portability and Accountability Act, Omnibus Rule, and Health Information Technology for Economic and Clinical Health laws. The Defense Information Systems Agency also develops and maintains security technical implementation guides that are consistent with DoD cybersecurity policies, standards, architectures, security controls, and validation procedures. The objective is to design a network (physician's office) in order to meet the complexity standards and unpredictable measures posed by attackers. Additionally, the network must adhere to HIPAA security and privacy requirements required by law. Successful implantation of network design will articulate comprehension requirements of information assurance security and control.

Proposed Back Propagation Deep Neural Network for Intrusion Detection in Internet of Things Fog Computing

2021 ◽  
Vol 9 (4) ◽  
pp. 464-469
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Intrusion Detection ◽  
Fog Computing ◽  
Denial Of Service ◽  
Back Propagation ◽  
Security And Privacy ◽  
Brute Force ◽  
Iot Platform ◽  
Proposed Model

Internet of things (IoT) is an emerging concept which aims to connect billions of devices with each other anytime regardless of their location. Sadly, these IoT devices do not have enough computing resources to process huge amount of data. Therefore, Cloud computing is relied on to provide these resources. However, cloud computing based architecture fails in applications that demand very low and predictable latency, therefore the need for fog computing which is a new paradigm that is regarded as an extension of cloud computing to provide services between end users and the cloud user. Unfortunately, Fog-IoT is confronted with various security and privacy risks and prone to several cyberattacks which is a serious challenge. The purpose of this work is to present security and privacy threats towards Fog-IoT platform and discuss the security and privacy requirements in fog computing. We then proceed to propose an Intrusion Detection System (IDS) model using Standard Deep Neural Network's Back Propagation algorithm (BPDNN) to mitigate intrusions that attack Fog-IoT platform. The experimental Dataset for the proposed model is obtained from the Canadian Institute for Cybersecurity 2017 Dataset. Each instance of the attack in the dataset is separated into separate files, which are DoS (Denial of Service), DDoS (Distributed Denial of Service), Web Attack, Brute Force FTP, Brute Force SSH, Heartbleed, Infiltration and Botnet (Bot Network) Attack. The proposed model is trained using a 3-layer BP-DNN

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