scholarly journals Program Analysis of Commodity IoT Applications for Security and Privacy

2019 ◽  
Vol 52 (4) ◽  
pp. 1-30 ◽  
Author(s):  
Z. Berkay Celik ◽  
Earlence Fernandes ◽  
Eric Pauley ◽  
Gang Tan ◽  
Patrick McDaniel
Keyword(s):  
Program Analysis ◽  
Security And Privacy ◽  
Iot Applications

scholarly journals SEF4CPSIoT Software Engineering Framework for Cyber-Physical and IoT Systems

2021 ◽  
Vol 5 (1) ◽  
pp. 1-24
Author(s):  
Muthu Ramachandran
Keyword(s):  
Software Engineering ◽  
Smart Home ◽  
Cyber Physical Systems ◽  
Classification Model ◽  
Security And Privacy ◽  
Physical Systems ◽  
Iot Applications ◽  
Communications Technologies ◽  
Efficient Control ◽  
Efficient Integration

Cyber-physical systems (CPS) have emerged to address the need for more efficient integration of modern advancement in cyber and wireless communications technologies such as 5G with physical objects. In addition, CPSs systems also needed to efficient control of security and privacy when we compare them with internet of things (IoT). In recent years, we experienced lack of security concerns with smart home IoT applications such as home security camera, etc. Therefore, this paper proposes a systematic software engineering framework for CPS and IoT systems. This paper also proposed a comprehensive requirements engineering framework for CPS-IoT applications which can also be specified using BPMN modelling and simulation to verify and validate CPS-IoT requirements with smart contracts. In this context, one of the key contribution of this paper is the innovative and generic requirements classification model for CPS-IoT application services, and this can also be applied to other emerging technologies such as fog, edge, cloud, and blockchain computing.

scholarly journals Research of long radius technology for implementation of solutions of the Іnternet of things

Connectivity ◽  
2020 ◽  
Vol 148 (6) ◽  
Author(s):  
S. A. Zhezhkun ◽  
◽  
L. B. Veksler ◽  
S. M. Brezitsʹkyy ◽  
B. O. Tarasyuk
Keyword(s):  
Internet Of Things ◽  
Third Party ◽  
Security And Privacy ◽  
The Internet ◽  
Daily Lives ◽  
Advantages And Disadvantages ◽  
Iot Applications ◽  
Security Properties ◽  
Technical Features ◽  
The Internet Of Things

This article focuses on the analysis of promising technologies for long-range traffic transmission for the implementation of the Internet of Things. The result of the review of technical features of technologies, their advantages and disadvantages is given. A comparative analysis was performed. An analysis is made that in the future heterogeneous structures based on the integration of many used radio technologies will play a crucial role in the implementation of fifth generation networks and systems. The Internet of Things (IoT) is heavily affecting our daily lives in many domains, ranging from tiny wearable devices to large industrial systems. Consequently, a wide variety of IoT applications have been developed and deployed using different IoT frameworks. An IoT framework is a set of guiding rules, protocols, and standards which simplify the implementation of IoT applications. The success of these applications mainly depends on the ecosystem characteristics of the IoT framework, with the emphasis on the security mechanisms employed in it, where issues related to security and privacy are pivotal. In this paper, we survey the security of the main IoT frameworks, a total of 8 frameworks are considered. For each framework, we clarify the proposed architecture, the essentials of developing third-party smart apps, the compatible hardware, and the security features. Comparing security architectures shows that the same standards used for securing communications, whereas different methodologies followed for providing other security properties.

scholarly journals Secure Data Aggregation Scheme for IOT Applications in Cloud

2020 ◽  
Vol 9 (4S2) ◽  
pp. 70-76
Keyword(s):  
Cloud Computing ◽  
Data Hiding ◽  
Data Aggregation ◽  
Dynamic Network ◽  
Security And Privacy ◽  
Iot Applications ◽  
P Gene ◽  
Private Data ◽  
Aggregation Scheme ◽  
And Storage

While Internet of Things (IoT) technology comprises of nodes that are self-configuring and intelligent which are interconnected in a dynamic network, utilization of shared resources has been revolutionized by the cloud computing effectively reducing the cost overheadamong the cloud users.The major concerns of IoT infrastructure are reliability, performance, security and privacy. Cloud computing is popular for its unlimited storage and processing power. Cloud computing is much more matured with the capability to resolve most of the issues in IoT technology. A suitable way to address most of the issues in IoT technology is by integrating IoTparadigm into the Cloud technology.In this regard, we propose a methodology of applying our EPAS scheme for IoT applications. In our previous work[2] , we have proposed an Enhanced Privacy preserving gene based data Aggregation Scheme (EPAS) for private data transmission and storage by utilizing Enhanced P-Gene erasable data hiding approach. Enhanced P-Gene scheme ensures secure transmission and storage of private data by relying on a data aggregation scheme fully dependent on erasable data hiding technique. In the current work we analyse the applicability of the EPAS scheme for IoT applications. Experimental results show the suitability of the proposed scheme for application involving numeric data and also demonstrates performance improvement with existing proposals for data aggregation in cloud.

Towards the Protection and Security in Fog Computing for Industrial Internet of Things

2021 ◽  
pp. 17-32
Author(s):  
G. Rama Subba Reddy ◽  
K. Rangaswamy ◽  
Malla Sudhakara ◽  
Pole Anjaiah ◽  
K. Reddy Madhavi
Keyword(s):  
Internet Of Things ◽  
Distributed Computing ◽  
Fog Computing ◽  
Security And Privacy ◽  
Safety Measures ◽  
Iot Applications ◽  
Industrial Internet ◽  
Sensor Devices ◽  
Key Enabling Technologies ◽  
Privacy Issues

Internet of things (IoT) has given a promising chance to construct amazing industrial frameworks and applications by utilizing wireless and sensor devices. To support IIoT benefits efficiently, fog computing is typically considered as one of the potential solutions. Be that as it may, IIoT services still experience issues such as high-latency and unreliable connections between cloud and terminals of IIoT. In addition to this, numerous security and privacy issues are raised and affect the users of the distributed computing environment. With an end goal to understand the improvement of IoT in industries, this chapter presents the current research of IoT along with the key enabling technologies. Further, the architecture and features of fog computing towards the fog-assisted IoT applications are presented. In addition to this, security and protection threats along with safety measures towards the IIoT applications are discussed.

A Novel Approach to Solve Security and Privacy Issues for IoT Applications Using Blockchain

2019 ◽  
Author(s):  
Bhabendu Kumar Mohanta ◽  
Utkalika Satapathy ◽  
Soumyashree S. Panda ◽  
Debasish Jena
Keyword(s):  
Security And Privacy ◽  
Iot Applications ◽  
Novel Approach ◽  
Privacy Issues

scholarly journals Secure Smart Cameras by Aggregate-Signcryption with Decryption Fairness for Multi-Receiver IoT Applications

Sensors ◽  
2019 ◽  
Vol 19 (2) ◽  
pp. 327 ◽  
Author(s):  
Subhan Ullah ◽  
Lucio Marcenaro ◽  
Bernhard Rinner
Keyword(s):  
Data Transfer ◽  
Single Step ◽  
Security And Privacy ◽  
Sensitive Information ◽  
Smart Camera ◽  
Sensitive Data ◽  
Smart Cameras ◽  
Iot Applications ◽  
Public Verifiability ◽  
Single Receiver

Smart cameras are key sensors in Internet of Things (IoT) applications and often capture highly sensitive information. Therefore, security and privacy protection is a key concern. This paper introduces a lightweight security approach for smart camera IoT applications based on elliptic-curve (EC) signcryption that performs data signing and encryption in a single step. We deploy signcryption to efficiently protect sensitive data onboard the cameras and secure the data transfer from multiple cameras to multiple monitoring devices. Our multi-sender/multi-receiver approach provides integrity, authenticity, and confidentiality of data with decryption fairness for multiple receivers throughout the entire lifetime of the data. It further provides public verifiability and forward secrecy of data. Our certificateless multi-receiver aggregate-signcryption protection has been implemented for a smart camera IoT scenario, and the runtime and communication effort has been compared with single-sender/single-receiver and multi-sender/single-receiver setups.

scholarly journals Investigating the factors affecting the internet of things (IOT) adoption model -an exploratory study in Egypt

2020 ◽  
Vol 11 (02) ◽  
pp. 97-108
Author(s):  
Ghada Zaky ◽  
◽  
Prof. Ayman Shawky ◽  
Prof. Mohamed A. Ragheb ◽  
◽  
...  
Keyword(s):  
Developing Countries ◽  
Internet Of Things ◽  
Security And Privacy ◽  
The Internet ◽  
Privacy Concern ◽  
Critical Question ◽  
Iot Applications ◽  
Adoption Model ◽  
The Internet Of Things ◽  
Security Concern

Purpose: This study aims to investigate the factors that affect developing countries especially Egyptian users to adopt IOT Applications/devices, and to what extent those variables affect the overall attitude towards, behavioral intentions and actual usage of IOT applications/devices. Moreover, to develop an extended adoption model by integrating the security concern and privacy concern in UTAUT2 model. Design/Methodology: a descriptive quantitative approach was adopted, and a comprehensive research model was adapted from literature and then tested via an online questionnaire. Results/Findings: The findings revealed that Effort Expectancy, Facilitating Conditions and Security Concern all have a significant positive effect on the overall intention towards using IOT applications/devices in Egypt. Theoretical and practical implications: The Internet of Things (IOT) has emerged as an innovative computing technology destined to optimize business operations and create new products and services. IOT enable the devices to communicate and integrate with one another to collect, exchange, and make data accessible through the Internet. It is projected that by 2025, over 50 billion devices will be connected to the IOT network, reaching a market value of up to $11 trillion. This study adapted the Extended Unified Theory of Acceptance and Use of Technology (UTAUT2) as the theoretical framework and its findings contribute to the literature by adding security and privacy concerns as new predictor variables. This contributes theoretically to the current literature by providing meaningful insights into the main factors that affect using IOT Applications/Devices in developing countries specially Egypt. This study’s conceptual effort provided an overall overview of how IOT users arrive at choosing (or not choosing) to use IOT applications/devices. Additionally, the analytic effort of this study provided a holistic assessment of the role of each variable. One critical question in this case is whether industrial leaders should assign an equal number of resources to each variable or not. By assessing the significance of each variable, the researcher attempted to clarify the comparative importance of each variable in forecasting purchase intentions and decisions to use IOT applications/devices.

scholarly journals Hashing based Data Transaction and Optimized Storage for IoT Applications

2021 ◽  
Vol 12 (5) ◽  
pp. 1206-1215
Author(s):  
Monika Parmar, Et. al.
Keyword(s):  
Input Data ◽  
Security And Privacy ◽  
Huge Amount ◽  
Privacy Concerns ◽  
Iot Applications ◽  
Blockchain Technology ◽  
Storage Solutions ◽  
Wide Range ◽  
New Challenges ◽  
Distributed Analysis

Blockchain technology, which would be the underlying technology, has recently become very popular with the increase in cryptocurrencies and is being used in IoT and other fields. There have been shortfalls, however, which impede its implementation, including the volume of space. Transactions will be produced at a significant level due to the huge amount of Connected systems that often work in many networks as data processors. In IoT, the storage issue will become more intense. Current storing data platforms have a wide range of features to respond to an extensive variety spectrum of uses. Nevertheless, new groups of systems have arisen, e.g., blockchain with data version control, fork semantics, tamper-evidence or some variation thereof, and distributed analysis. They're showing new challenges for storage solutions to effectively serve such energy storage Systems by integrating the criteria mentioned in the processing. This paper discusses the potential security and privacy concerns of IoT applications and also it is shown that in first step the storage is enhanced by 50% and further in the next step, it is improved and it takes only 256 bytes irrespective of the input data size.

Program Analysis for Security and Privacy

2007 ◽  
pp. 59-68
Author(s):  
Marco Pistoia ◽  
Francesco Logozzo
Keyword(s):  
Program Analysis ◽  
Security And Privacy
Sign in / Sign up

Export Citation Format

Share Document