A Self-Learning Framework for the IoT Security

2019 ◽  
pp. 34-53
Author(s):  
Sitalakshmi Venkatraman
Keyword(s):  
Security And Privacy ◽  
Security Risks ◽  
Learning Framework ◽  
Heterogeneous Devices ◽  
Recent Developments ◽  
Implementation Guidelines ◽  
Privacy Breaches ◽  
High Level ◽  
Self Learning ◽  
The Internet Of Things

The internet of things (IoT) is a complex system of heterogeneous devices connected to a network. While IoT can significantly add value to people's everyday activities around the world, there are numerous security risks and privacy breaches imposed by the IoT landscape. Traditional security solutions are not applicable for the IoT as they require high-end processing capacity. The objective of this chapter is two-fold. Firstly, it provides a comprehensive summary of the recent advancements in the IoT and identifies their vulnerabilities. Secondly, it proposes the paradigm of self-learning as an intelligent and sustainable mechanism that is capable of automatically detecting suspicious activities in the IoT. Overall, this chapter presents a contemporary coverage of the recent developments in the IoT scene, the security and privacy challenges confronting the security experts, a proposal of a self-learning framework for performing health check of the IoT environment, and finally a set of high-level implementation guidelines and conclusions.

scholarly journals Intrusion Detection in IoT based Smart Networks using Fuzzy Brain Storm Optimization Technique

2019 ◽  
Vol 8 (6) ◽  
pp. 3066-3071
Keyword(s):  
Embedded Systems ◽  
Optimization Technique ◽  
Security And Privacy ◽  
Smart Devices ◽  
Software Systems ◽  
Security Risks ◽  
Security Vulnerabilities ◽  
Brain Storm Optimization ◽  
Fuzzy C Means Clustering ◽  
The Internet Of Things

The Internet of Things (IoT) is characterized as an approach where objects are outfitted with sensors, processors, and actuators which include design of hardware board and development, protocols, web APIs, and software systems, which combined to make an associated architecture of embedded systems. This connected environment enables technologies to get associated with different networks, platforms, and devices, making a web of communication which is reforming the manner in which we communicate with the world digitally. These connected embedded systems are changing behaviour and interactions with our environment, networks, and homes, and also with our own bodies in terms of smart devices. Security and privacy are the most significant consideration in the field of real-world communication and mainly on IoTs. With the evolution of IoT the network layer security in the IoT has drawn greater focus. The security vulnerabilities in the IoT system could make security risks based on any application. Therefore there is an essential requirement for IDS for the IoT based systems for avoiding security attacks based on security vulnerabilities. This paper proposed a fuzzy c-means clustering with brain storm optimization algorithm (FBSO) for IDS based on IoT system. The NSL-KDD dataset is utilized to evaluate and simulate the proposed algorithm. The results demonstrate that the proposed technique efficiently recognize intrusion attacks and decrease the network difficulties

scholarly journals Malware Detection Based on Deep Learning of Behavior Graphs

2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Fei Xiao ◽  
Zhaowen Lin ◽  
Yi Sun ◽  
Yan Ma
Keyword(s):  
Deep Learning ◽  
Smart Devices ◽  
Smart Device ◽  
Learning Framework ◽  
Stacked Autoencoders ◽  
Efficient Information ◽  
Iot Devices ◽  
High Level ◽  
Malicious Behaviors ◽  
The Internet Of Things

The Internet of Things (IoT) provides various benefits, which makes smart device even closer. With more and more smart devices in IoT, security is not a one-device affair. Many attacks targeted at traditional computers in IoT environment may also aim at other IoT devices. In this paper, we consider an approach to protect IoT devices from being attacked by local computers. In response to this issue, we propose a novel behavior-based deep learning framework (BDLF) which is built in cloud platform for detecting malware in IoT environment. In the proposed BDLF, we first construct behavior graphs to provide efficient information of malware behaviors using extracted API calls. We then use a neural network-Stacked AutoEncoders (SAEs) for extracting high-level features from behavior graphs. The layers of SAEs are inserted one after another and the last layer is connected to some added classifiers. The architecture of the SAEs is 6,000-2,000-500. The experiment results demonstrate that the proposed BDLF can learn the semantics of higher-level malicious behaviors from behavior graphs and further increase the average detection precision by 1.5%.

A Survey of IoT Security: Risks, Requirements, Trends, and Key Technologies

2017 ◽  
Vol 02 (02) ◽  
pp. 1750008 ◽  
Author(s):  
Jin Ho Kim
Keyword(s):  
Security Requirements ◽  
Security And Privacy ◽  
The Internet ◽  
Security Risks ◽  
Daily Lives ◽  
Iot Security ◽  
Security Technologies ◽  
Privacy Threats ◽  
Key Technologies ◽  
The Internet Of Things

Due to the increasing ubiquity of the internet, the “internet of things” (IoT) has become an essential technology, penetrating people’s daily lives and influencing the industry. However, the diversity of environments and lack of standards have left the IoT exposed to security and privacy threats. This paper examines these risks, the security requirements of the IoT, the time trend of IoT-security related research, and key security technologies related to the IoT.

scholarly journals A survey on secured internet of things architecture

2018 ◽  
Vol 7 (2.7) ◽  
pp. 274 ◽  
Author(s):  
Ms U. Harita ◽  
K V.DayaSagar
Keyword(s):  
Internet Of Things ◽  
Future Internet ◽  
Security And Privacy ◽  
The Internet ◽  
Computing Systems ◽  
Heterogeneous Devices ◽  
Iot Applications ◽  
Iot Devices ◽  
The Internet Of Things ◽  
Security Of Iot

The Internet of Things (IoT) introduces an inventive and perceptive of a future Internet where users, computing systems, and everyday items owning sensing and actuating abilities cooperate with unique comfort and financial advantages. Many heterogeneous devices get connected and contribute to the IoT and are known as things.Internet of Things (IoT) enables these things to correspond, compute and make decisions on the network. In such a heterogeneous environment, every user of IoT will have a unique purpose to be served in the form of communication and computation. There is a threat that a malicious user can demolish the security and privacy of the network. Hence any application in the environment of IoT is prone to various attacks and threats. At this point, security becomes a high priority in IoT. To ensure security, care must be taken to guarantee confidentiality, authenticity, data integrity and non-repudiation. In this paperaddress various conventional techniques for providing security of IoT devices and present analysis of existing solutions for IoT. Firstly, as security will be a fundamental allowing thing of most IoT applications, mechanisms must also be designed to defend communications enabled by such technologies. Later, we identify some suitable security algorithms.

scholarly journals Predicting Internet of Things (IOT) Security and Privacy Risks – A Proposal Model: توقع مخاطر أمن وخصوصية إنترنت الأشياء (IOT) – نموذج مقترح بحثي

2021 ◽  
Vol 5 (3) ◽  
pp. 133-112
Author(s):  
Awad Saad Al-Qahtani, Mohammad Ayoub Khan Awad Saad Al-Qahtani, Mohammad Ayoub Khan
Keyword(s):  
Internet Of Things ◽  
Security Management ◽  
Cyber Attacks ◽  
Security Requirements ◽  
Security And Privacy ◽  
The Internet ◽  
Security Risks ◽  
Iot Security ◽  
Iot Devices ◽  
The Internet Of Things

The Internet of things (IOT) users lack awareness of IOT security infrastructure to handle the risks including Threats, attack and penetration associated with its use. IOT devices are main targets for cyber-attacks due to variable personally identifiable information (PII) stored and transmit in the cyber centers. The security risks of the Internet of Things aimed to damage user's security and privacy. All information about users can be collected from their related objects which are stored in the system or transferred through mediums among diverse smart objects and may exposed to exposed dangerous of attacks and threats if it lack authentication so there are essential need to make IOT security requirements as important part of its efficient implementation. These requirements include; availability, accountability, authentication, authorization, privacy and confidentiality, Integrity and Non-repudiation. The study design is a survey research to investigate the visibility of the proposed model of security management for IOT uses, the security risks of IOT devices, and the changes IOT technology on the IT infrastructure of IOT users through answering of the research questionnaires. This work proposes a model of security management for IOT to predict IOT security and privacy threats, protect IOT users from any unforeseen dangers, and determine the right security mechanisms and protocols for IOT security layers, as well as give the most convenient security mechanisms. Moreover, for enhancing the performance of IOT networks by selecting suitable security mechanisms for IOT layers to increase IOT user's security satisfaction.

What Can Digitization Do For Formulated Product Innovation and Development

2020 ◽  
Author(s):  
James McDonagh ◽  
William Swope ◽  
Richard L. Anderson ◽  
Michael Johnston ◽  
David J. Bray
Keyword(s):  
High Performance ◽  
Quality Data ◽  
High Quality Data ◽  
Base Level ◽  
Hybrid Approaches ◽  
Digital Ecosystem ◽  
Recent Developments ◽  
Chemical Simulation ◽  
High Level ◽  
Physical And Chemical

Digitization offers significant opportunities for the formulated product industry to transform the way it works and develop new methods of business. R&D is one area of operation that is challenging to take advantage of these technologies due to its high level of domain specialisation and creativity but the benefits could be significant. Recent developments of base level technologies such as artificial intelligence (AI)/machine learning (ML), robotics and high performance computing (HPC), to name a few, present disruptive and transformative technologies which could offer new insights, discovery methods and enhanced chemical control when combined in a digital ecosystem of connectivity, distributive services and decentralisation. At the fundamental level, research in these technologies has shown that new physical and chemical insights can be gained, which in turn can augment experimental R&D approaches through physics-based chemical simulation, data driven models and hybrid approaches. In all of these cases, high quality data is required to build and validate models in addition to the skills and expertise to exploit such methods. In this article we give an overview of some of the digital technology demonstrators we have developed for formulated product R&D. We discuss the challenges in building and deploying these demonstrators.<br>

Radiotherapy for Brain Tumors: Current Practice and Future Directions

2020 ◽  
Vol 16 (3) ◽  
pp. 182-195
Author(s):  
Sarah Baker ◽  
Natalie Logie ◽  
Kim Paulson ◽  
Adele Duimering ◽  
Albert Murtha
Keyword(s):  
Brain Tumors ◽  
Treatment Strategies ◽  
Brain Parenchyma ◽  
Benign Tumors ◽  
Tumor Control ◽  
Normal Brain ◽  
Neurocognitive Deficits ◽  
Close Proximity ◽  
Recent Developments ◽  
High Level

Radiotherapy is an important component of the treatment for primary and metastatic brain tumors. Due to the close proximity of critical structures and normal brain parenchyma, Central Nervous System (CNS) radiotherapy is associated with adverse effects such as neurocognitive deficits, which must be weighed against the benefit of improved tumor control. Advanced radiotherapy technology may help to mitigate toxicity risks, although there is a paucity of high-level evidence to support its use. Recent advances have been made in the treatment for gliomas, meningiomas, benign tumors, and metastases, although outcomes remain poor for many high grade tumors. This review highlights recent developments in CNS radiotherapy, discusses common treatment toxicities, critically reviews advanced radiotherapy technologies, and highlights promising treatment strategies to improve clinical outcomes in the future.

Multi-Disciplinary Opinions Focused on Healthcare Sector for Global Pandemic: COVID-19 (Preprint)

2020 ◽  
Author(s):  
Vinod Kumar Verma
Keyword(s):  
Internet Of Things ◽  
Research Community ◽  
Security And Privacy ◽  
Healthcare Sector ◽  
The Internet ◽  
Thought Process ◽  
Related Information ◽  
Global Pandemic ◽  
The People ◽  
The Internet Of Things

BACKGROUND COVID- 19 pandemics has affected the life of every human being in this world dramatically. The daily routine of the human has been changed to an uncertain extent. Some of the people are affected by the COVID-19, and some of the people are in fear of this epidemic. This has completely changed the thorough process of the people, and now, they are looking for solutions of this pandemic at different levels of the human addressable areas. These areas include medicine, vaccination, precautions, psychology, technology-assisted solutions like information technology, etc. There is a need to think in the direction of technology compliant solutions in the era of COVID-19 pandemic. OBJECTIVE The objective of this paper is to discuss the existing views and focus on the recommendations for the enhancement in the current situation from COVID-19. METHODS Based on the literature, perceptions, challenges, and viewpoints, the following opinions are suggested to the research community for the prevention and elimination of global pandemic COVID-19. The research community irrespective of the discipline focus on the following: 1. The comprehensive thought process for the designing of the internet of things (IoT) based solutions for healthcare applications used in the prevention from COVID-19. 2. Strategies for restricting outbreak of COVID-19 with the emerging trends in Ehealthcare applications. Which should be the optimal strategy to deal with a global pandemic? 3. Explorations on the data analysis as derived from the advanced data mining and warehousing associated with IoT. Besides, cloud-based technologies can be incorporated for the global spread of healthcare-related information to serve the community of different countries in the world. 4. The most adaptable method and technology can be deployed for the development of innovative solutions for COVID-19 related people like smart, patient-centric healthcare information systems. 5. Implementation of smart solutions like wearable technology for mask and PPE along with their disposal can be considered to deal with a global epidemic like COVID-19. This will lead to the manufacturing and incorporation of wearable technologies in the healthcare sector by industries. 6. A Pervasive thought process can be standardized for dealing with global pandemic like COVID-19. In addition, research measures should be considered for the security and privacy challenges of IoT services carrying healthcare-related information. These areas and directions are diverse but, in parallel, the need for healthy bonding and correlation between the people like researchers and scientists irrespective of their discipline. The discipline may vary from medical, engineering, computing, finance, and management, etc. In addition, standard protocols and interoperability measures can be worked out for the exchange of information in the global pandemic situations. RESULTS Recommendations Discussed CONCLUSIONS In this paper, the opinions have been discussed in the multi-disciplinary areas of research like COVID-19 challenges, medicines and vaccines, precautionary measures, technology assistance, and the Internet of Things. These opinions and discussion serve as an integrated platform for researchers and scientists to think about future perspectives to deal with healthcare-related COVID-19 pandemic situation. This includes the original, significant, and visionary automation based ideas, innovations, scientific designs, and applications focusing on Inter-disciplinary technology compliant solutions like IoT, vaccinations, manufacturing, preventive measures, etc. for the improvement of efficiency and reliability of existing healthcare systems. For the future, there is dire need to strengthen the technology not only in the one area but also for the interdisciplinary areas to recover from the pandemic situation rapidly and serve the community.

Open Issues and Security Challenges of Data Communication Channels in Distributed Internet of Things (IoT): A Survey

2018 ◽  
Vol 3 (1) ◽  
pp. 22-32 ◽  
Author(s):  
Ernest Ezema ◽  
Azizol Abdullah ◽  
Nor Fazlida Binti Mohd
Keyword(s):  
Internet Of Things ◽  
Radio Frequency Identification ◽  
Industrial Revolution ◽  
Security And Privacy ◽  
The Internet ◽  
Ongoing Research ◽  
Advantages And Disadvantages ◽  
Exchange Information ◽  
The Internet Of Things ◽  
Open Issues

The concept of the Internet of Things (IoT) has evolved over time. The introduction of the Internet of Things and Services into the manufacturing environment has ushered in a fourth industrial revolution: Industry 4.0. It is no doubt that the world is undergoing constant transformations that somehow change the trajectory and history of humanity. We can illustrate this with the first and second industrial revolutions and the information revolution. IoT is a paradigm based on the internet that comprises many interconnected technologies like RFID (Radio Frequency Identification) and WSAN (Wireless Sensor and Actor Networks) to exchange information. The current needs for better control, monitoring and management in many areas, and the ongoing research in this field, have originated the appearance and creation of multiple systems like smart-home, smart-city and smart-grid. The IoT services can have centralized or distributed architecture. The centralized approach provides is where central entities acquire, process, and provide information while the distributed architectures, is where entities at the edge of the network exchange information and collaborate with each other in a dynamic way. To understand the two approaches, it is necessary to know its advantages and disadvantages especially in terms of security and privacy issues. This paper shows that the distributed approach has various challenges that need to be solved. But also, various interesting properties and strengths. In this paper we present the main research challenges and the existing solutions in the field of IoT security, identifying open issues, the industrial revolution and suggesting some hints for future research.

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