Internet of healthcare things security vulnerabilities and jamming attack analysis

2021 ◽  
Author(s):  
Kavita Sharma
Keyword(s):  
Security Vulnerabilities ◽  
Jamming Attack ◽  
Internet Of Healthcare Things

scholarly journals IoT security vulnerabilities and predictive signal jamming attack analysis in LoRaWAN

2020 ◽  
Vol 14 (4) ◽  
pp. 368-379 ◽  
Author(s):  
Max Ingham ◽  
Jims Marchang ◽  
Deepayan Bhowmik
Keyword(s):  
Security Vulnerabilities ◽  
Iot Security ◽  
Signal Jamming ◽  
Jamming Attack

Jamming Attack in Wireless Sensor Network: From Time to Space

2012 ◽  
Vol E95.B (6) ◽  
pp. 2113-2116
Author(s):  
Yanqiang SUN ◽  
Xiaodong WANG ◽  
Xingming ZHOU
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Jamming Attack

Clinical Cybersecurity Training Through Novel High Fidelity Simulations (Preprint)

2018 ◽  
Author(s):  
Christian Dameff ◽  
Jordan Selzer ◽  
Jonathan Fisher ◽  
James Killeen ◽  
Jeffrey Tully
Keyword(s):  
Patient Safety ◽  
Patient Care ◽  
Medical Devices ◽  
Healthcare Systems ◽  
High Fidelity ◽  
Protected Health Information ◽  
Patient Harm ◽  
Security Vulnerabilities ◽  
Clinical Simulations ◽  
Medical Infrastructure

BACKGROUND Cybersecurity risks in healthcare systems have traditionally been measured in data breaches of protected health information but compromised medical devices and critical medical infrastructure raises questions about the risks of disrupted patient care. The increasing prevalence of these connected medical devices and systems implies that these risks are growing. OBJECTIVE This paper details the development and execution of three novel high fidelity clinical simulations designed to teach clinicians to recognize, treat, and prevent patient harm from vulnerable medical devices. METHODS Clinical simulations were developed which incorporated patient care scenarios with hacked medical devices based on previously researched security vulnerabilities. RESULTS Clinician participants universally failed to recognize the etiology of their patient’s pathology as being the result of a compromised device. CONCLUSIONS Simulation can be a useful tool in educating clinicians in this new, critically important patient safety space.

Hardware Information Flow Tracking

2021 ◽  
Vol 54 (4) ◽  
pp. 1-39
Author(s):  
Wei Hu ◽  
Armaiti Ardeshiricham ◽  
Ryan Kastner
Keyword(s):  
Access Control ◽  
Computer Security ◽  
Information Flow ◽  
Hardware Security ◽  
Computing System ◽  
Security Vulnerabilities ◽  
Information Flow Tracking ◽  
Side Channels ◽  
Security Properties ◽  
Tools And Techniques

Information flow tracking (IFT) is a fundamental computer security technique used to understand how information moves through a computing system. Hardware IFT techniques specifically target security vulnerabilities related to the design, verification, testing, manufacturing, and deployment of hardware circuits. Hardware IFT can detect unintentional design flaws, malicious circuit modifications, timing side channels, access control violations, and other insecure hardware behaviors. This article surveys the area of hardware IFT. We start with a discussion on the basics of IFT, whose foundations were introduced by Denning in the 1970s. Building upon this, we develop a taxonomy for hardware IFT. We use this to classify and differentiate hardware IFT tools and techniques. Finally, we discuss the challenges yet to be resolved. The survey shows that hardware IFT provides a powerful technique for identifying hardware security vulnerabilities, as well as verifying and enforcing hardware security properties.

Security Threat Analyses and Attack Models for Approximate Computing Systems

2021 ◽  
Vol 26 (4) ◽  
pp. 1-31
Author(s):  
Pruthvy Yellu ◽  
Landon Buell ◽  
Miguel Mark ◽  
Michel A. Kinsy ◽  
Dongpeng Xu ◽  
...  
Keyword(s):  
Error Resilience ◽  
Security Threats ◽  
Approximate Computing ◽  
Security Threat ◽  
Security Vulnerabilities ◽  
Computing Systems ◽  
Quantitative Analyses ◽  
Resilience Mechanisms ◽  
The Impact ◽  
Attack Models

Approximate computing (AC) represents a paradigm shift from conventional precise processing to inexact computation but still satisfying the system requirement on accuracy. The rapid progress on the development of diverse AC techniques allows us to apply approximate computing to many computation-intensive applications. However, the utilization of AC techniques could bring in new unique security threats to computing systems. This work does a survey on existing circuit-, architecture-, and compiler-level approximate mechanisms/algorithms, with special emphasis on potential security vulnerabilities. Qualitative and quantitative analyses are performed to assess the impact of the new security threats on AC systems. Moreover, this work proposes four unique visionary attack models, which systematically cover the attacks that build covert channels, compensate approximation errors, terminate normal error resilience mechanisms, and propagate additional errors. To thwart those attacks, this work further offers the guideline of countermeasure designs. Several case studies are provided to illustrate the implementation of the suggested countermeasures.

Automatic Vulnerability Detection in Embedded Devices and Firmware

2021 ◽  
Vol 54 (2) ◽  
pp. 1-42
Author(s):  
Abdullah Qasem ◽  
Paria Shirani ◽  
Mourad Debbabi ◽  
Lingyu Wang ◽  
Bernard Lebel ◽  
...  
Keyword(s):  
Embedded Systems ◽  
Symbolic Execution ◽  
Vital Role ◽  
Security And Privacy ◽  
Embedded Devices ◽  
Security Vulnerabilities ◽  
Future Directions ◽  
Hybrid Approaches ◽  
Wide Range ◽  
The Internet Of Things

In the era of the internet of things (IoT), software-enabled inter-connected devices are of paramount importance. The embedded systems are very frequently used in both security and privacy-sensitive applications. However, the underlying software (a.k.a. firmware) very often suffers from a wide range of security vulnerabilities, mainly due to their outdated systems or reusing existing vulnerable libraries; which is evident by the surprising rise in the number of attacks against embedded systems. Therefore, to protect those embedded systems, detecting the presence of vulnerabilities in the large pool of embedded devices and their firmware plays a vital role. To this end, there exist several approaches to identify and trigger potential vulnerabilities within deployed embedded systems firmware. In this survey, we provide a comprehensive review of the state-of-the-art proposals, which detect vulnerabilities in embedded systems and firmware images by employing various analysis techniques, including static analysis, dynamic analysis, symbolic execution, and hybrid approaches. Furthermore, we perform both quantitative and qualitative comparisons among the surveyed approaches. Moreover, we devise taxonomies based on the applications of those approaches, the features used in the literature, and the type of the analysis. Finally, we identify the unresolved challenges and discuss possible future directions in this field of research.

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