DEDA: An algorithm for early detection of topology attacks in the internet of...IJECEIAES
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The internet of things (IoT) is used in domestic, industrial as well as mission-critical systems including homes, transports, power plants, industrial manufacturing and health-care applications. Security of data generated by such systems and IoT systems itself is very critical in such applications. Early detection of any attack targeting IoT system is necessary to minimize the damage. This paper reviews security attack detection methods for IoT Infrastructure presented in the state-of-the-art. One of the major entry points for attacks in IoT system is topology exploitation. This paper proposes a distributed algorithm for early detection of such attacks with the help of predictive descriptor tables. This paper also presents feature selection from topology control packet ïŹelds. The performance of the proposed algorithm is evaluated using an extensive simulation carried out in OMNeT++. Performance parameter includes accuracy and time required for detection. Simulation results presented in this paper show that the proposed algorithm is effective in detecting attacks ahead in time.
A Comprehensive Survey on Exiting Solution Approaches towards Security and Pr...IJECEIAES
Â
âInternet of Things (IoT)âemerged as an intelligent collaborative computation and communication between a set of objects capable of providing on-demand services to other objects anytime anywhere. A large-scale deployment of data-driven cloud applications as well as automated physical things such as embed electronics, software, sensors and network connectivity enables a joint ubiquitous and pervasive internet-based computing systems well capable of interacting with each other in an IoT. IoT, a well-known term and a growing trend in IT arena certainly bring a highly connected global network structure providing a lot of beneficial aspects to a user regarding business productivity, lifestyle improvement, government efficiency, etc. It also generates enormous heterogeneous and homogeneous data needed to be analyzed properly to get insight into valuable information. However, adoption of this new reality (i.e., IoT) by integrating it with the internet invites a certain challenges from security and privacy perspective. At present, a much effort has been put towards strengthening the security system in IoT still not yet found optimal solutions towards current security flaws. Therefore, the prime aim of this study is to investigate the qualitative aspects of the conventional security solution approaches in IoT. It also extracts some open research problems that could affect the future research track of IoT arena.
SECURITY& PRIVACY THREATS, ATTACKS AND COUNTERMEASURES IN INTERNET OF THINGSIJNSA Journal
Â
The idea to connect everything to anything and at any point of time is what vaguely defines the concept of the Internet of Things (IoT). The IoT is not only about providing connectivity but also facilitating interaction among these connected things. Though the term IoT was introduced in 1999 but has drawn significant attention during the past few years, the pace at which new devices are being integrated into the system will profoundly impact the world in a good way but also poses some severe queries about security and privacy. IoT in its current form is susceptible to a multitudinous set of attacks. One of the most significant concerns of IoT is to provide security assurance for the data exchange because data is vulnerable to some attacks by the attackers at each layer of IoT. The IoT has a layered structure where each layer provides a service. The security needs vary from layer to layer as each layer serves a different purpose. This paper aims to analyze the various security and privacy threats related to IoT. Some attacks have been discussed along with some existing and proposed countermeasures.
SECURITY& PRIVACY THREATS, ATTACKS AND COUNTERMEASURES IN INTERNET OF THINGSIJNSA Journal
Â
The idea to connect everything to anything and at any point of time is what vaguely defines the concept of
the Internet of Things (IoT). The IoT is not only about providing connectivity but also facilitating
interaction among these connected things. Though the term IoT was introduced in 1999 but has drawn
significant attention during the past few years, the pace at which new devices are being integrated into the
system will profoundly impact the world in a good way but also poses some severe queries about security
and privacy. IoT in its current form is susceptible to a multitudinous set of attacks. One of the most
significant concerns of IoT is to provide security assurance for the data exchange because data is
vulnerable to some attacks by the attackers at each layer of IoT. The IoT has a layered structure where
each layer provides a service. The security needs vary from layer to layer as each layer serves a different
purpose. This paper aims to analyze the various security and privacy threats related to IoT. Some attacks
have been discussed along with some existing and proposed countermeasures.
Secure Modern Healthcare System Based on Internet of Things and Secret Sharin...Eswar Publications
Â
The Internet of Things (IoT), is a concept that describes how objects that we are used in daily life will interact and negotiate with other objects over the internet. The amount of devices with Wi-Fi capabilities and built-in sensors keeps on increasing. IoT combines smart devices to provide smart services and applications like smart cities, smart healthcare, smart home, and digital farm etc. But it is very crucial to secure connected IoT devices and networks because of the nature of IoT system. In this paper, the existing works are analyzed and an IoT based
healthcare system architecture is proposed. An authentication scheme to enhance the security of the proposed healthcare system is also present.
DEDA: An algorithm for early detection of topology attacks in the internet of...IJECEIAES
Â
The internet of things (IoT) is used in domestic, industrial as well as mission-critical systems including homes, transports, power plants, industrial manufacturing and health-care applications. Security of data generated by such systems and IoT systems itself is very critical in such applications. Early detection of any attack targeting IoT system is necessary to minimize the damage. This paper reviews security attack detection methods for IoT Infrastructure presented in the state-of-the-art. One of the major entry points for attacks in IoT system is topology exploitation. This paper proposes a distributed algorithm for early detection of such attacks with the help of predictive descriptor tables. This paper also presents feature selection from topology control packet ïŹelds. The performance of the proposed algorithm is evaluated using an extensive simulation carried out in OMNeT++. Performance parameter includes accuracy and time required for detection. Simulation results presented in this paper show that the proposed algorithm is effective in detecting attacks ahead in time.
A Comprehensive Survey on Exiting Solution Approaches towards Security and Pr...IJECEIAES
Â
âInternet of Things (IoT)âemerged as an intelligent collaborative computation and communication between a set of objects capable of providing on-demand services to other objects anytime anywhere. A large-scale deployment of data-driven cloud applications as well as automated physical things such as embed electronics, software, sensors and network connectivity enables a joint ubiquitous and pervasive internet-based computing systems well capable of interacting with each other in an IoT. IoT, a well-known term and a growing trend in IT arena certainly bring a highly connected global network structure providing a lot of beneficial aspects to a user regarding business productivity, lifestyle improvement, government efficiency, etc. It also generates enormous heterogeneous and homogeneous data needed to be analyzed properly to get insight into valuable information. However, adoption of this new reality (i.e., IoT) by integrating it with the internet invites a certain challenges from security and privacy perspective. At present, a much effort has been put towards strengthening the security system in IoT still not yet found optimal solutions towards current security flaws. Therefore, the prime aim of this study is to investigate the qualitative aspects of the conventional security solution approaches in IoT. It also extracts some open research problems that could affect the future research track of IoT arena.
SECURITY& PRIVACY THREATS, ATTACKS AND COUNTERMEASURES IN INTERNET OF THINGSIJNSA Journal
Â
The idea to connect everything to anything and at any point of time is what vaguely defines the concept of the Internet of Things (IoT). The IoT is not only about providing connectivity but also facilitating interaction among these connected things. Though the term IoT was introduced in 1999 but has drawn significant attention during the past few years, the pace at which new devices are being integrated into the system will profoundly impact the world in a good way but also poses some severe queries about security and privacy. IoT in its current form is susceptible to a multitudinous set of attacks. One of the most significant concerns of IoT is to provide security assurance for the data exchange because data is vulnerable to some attacks by the attackers at each layer of IoT. The IoT has a layered structure where each layer provides a service. The security needs vary from layer to layer as each layer serves a different purpose. This paper aims to analyze the various security and privacy threats related to IoT. Some attacks have been discussed along with some existing and proposed countermeasures.
SECURITY& PRIVACY THREATS, ATTACKS AND COUNTERMEASURES IN INTERNET OF THINGSIJNSA Journal
Â
The idea to connect everything to anything and at any point of time is what vaguely defines the concept of
the Internet of Things (IoT). The IoT is not only about providing connectivity but also facilitating
interaction among these connected things. Though the term IoT was introduced in 1999 but has drawn
significant attention during the past few years, the pace at which new devices are being integrated into the
system will profoundly impact the world in a good way but also poses some severe queries about security
and privacy. IoT in its current form is susceptible to a multitudinous set of attacks. One of the most
significant concerns of IoT is to provide security assurance for the data exchange because data is
vulnerable to some attacks by the attackers at each layer of IoT. The IoT has a layered structure where
each layer provides a service. The security needs vary from layer to layer as each layer serves a different
purpose. This paper aims to analyze the various security and privacy threats related to IoT. Some attacks
have been discussed along with some existing and proposed countermeasures.
Secure Modern Healthcare System Based on Internet of Things and Secret Sharin...Eswar Publications
Â
The Internet of Things (IoT), is a concept that describes how objects that we are used in daily life will interact and negotiate with other objects over the internet. The amount of devices with Wi-Fi capabilities and built-in sensors keeps on increasing. IoT combines smart devices to provide smart services and applications like smart cities, smart healthcare, smart home, and digital farm etc. But it is very crucial to secure connected IoT devices and networks because of the nature of IoT system. In this paper, the existing works are analyzed and an IoT based
healthcare system architecture is proposed. An authentication scheme to enhance the security of the proposed healthcare system is also present.
Malware threat analysis techniques and approaches for IoT applications: a reviewjournalBEEI
Â
Internet of things (IoT) is a concept that has been widely used to improve business efficiency and customerâs experience. It involves resource constrained devices connecting to each other with a capability of sending data, and some with receiving data at the same time. The IoT environment enhances user experience by giving room to a large number of smart devices to connect and share information. However, with the sophistication of technology has resulted in IoT applications facing with malware threat. Therefore, it becomes highly imperative to give an understanding of existing state-of-the-art techniques developed to address malware threat in IoT applications. In this paper, we studied extensively the adoption of static, dynamic and hybrid malware analyses in proffering solution to the security problems plaguing different IoT applications. The success of the reviewed analysis techniques were observed through case studies from smart homes, smart factories, smart gadgets and IoT application protocols. This study gives a better understanding of the holistic approaches to malware threats in IoT applications and the way forward for strengthening the protection defense in IoT applications.
A review on machine learning based intrusion detection system for internet of...IJECEIAES
Â
Within an internet of things (IoT) environment, the fundamental purpose of various devices is to gather the abundant amount of data that is being generated and then transmit this data to the predetermined server over the internet. IoT connects billions of objects and the internet to communicate without human intervention. But network security and privacy issues are increasing very fast, in today's world. Because of the prevalence of technological advancement in regular activities, internet security has evolved into a necessary requirement. Because technology is integrated into every aspect of contemporary life, cyberattacks on the internet of things represent a bigger danger than attacks against traditional networks. Researchers have found that combining machine learning techniques into an intrusion detection system (IDS) is an efficient way to get beyond the limitations of conventional IDSs in an IoT context. This research presents a comprehensive literature assessment and develops an intrusion detection system that makes use of machine learning techniques to address security problems in an IoT environment. Along with a comprehensive look at the state of the art in terms of intrusion detection systems for IoT-enabled environments, this study also examines the attributes of approaches, common datasets, and existing methods utilized to construct such systems.
INTERNET OF THINGS A STUDY ON SECURITY AND PRIVACY THREATSMd .docxvrickens
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INTERNET OF THINGS: A STUDY ON SECURITY AND PRIVACY THREATS
Md Husamuddin
Dept. of computer science
College of CS and IT, Al-Baha University
Al-Baha, Kingdom of Saudi Arabia
Dr. [email protected]
ABSTRACT
The current world is driven by new, developing technologies. This has resulted in a variety of smart devices in the society that has impacted positively on the lives of people in the community. However, the organization has been experiencing threats and cyberattacks that mostly targets the private information. Therefore, in this paper, my discussion is centered on the different applications of the internet of things as well as security threats that are involved.
Keywords: security, privacy.
INTRODUCTION
The Internet of things is the most significant of the future of the internet. IoT has a global network through which ant object can connect with the other devices that are also linked on the internet. These devices include computers, tabs, cell phones, among many others. Generally, the internet of things is a system made up of connected things. This machine contains a microchip that connects all the methods related to it. Microchips serve the function of tracking the surrounding of the network and to give the report in case of any findings pertaining to the internet. The meaning of PC wrongdoing and cloud wrongdoing will be come to out to the IoT wrongdoing, which talks to any malignant development that incorporates the IoT worldview as within the IoT contraptions, organizations, or correspondence channels can be a subject, thing, or gadget recognized with the infringement. To investigate these sorts of cases, it is required to execute computerized crime scene examination technique within the IoT to choose the substances around an event. The meaning of a capable and adjust IoT progressed lawful sciences method is still at its unimaginable intrigued (Husamuddin, 2015). The most significant part of IoT is that it makes it possible for different entities to be communicated and to be accessed via the internet. This is very economical as a result, attracts many devices to be connected to the internet (Balte &Patil,2015). Research shows that more than 40 billion devices in 2019 got connected, and a higher risk of this is expected in the current year.
SECURITY REQUIREMENTS
The rate at which technologies are emerging is so high, and this has lead to threats as well as a privacy issue. The smart devices arising from this technology will interact with other devices and transmit information in the network (Balte, &Patil,2015). If a computer gets infected, the effects ripples to other devices in the system; thus, the whole internet infrastructure would be at risk. As soon as an attack spot has been identified, it is feasible to enumerate the safety vulnerabilities and risk prone regions requiring defense-in-intensity protection. Such safety refers to a typically used approach to protect important data on company networks wherein security controls ...
A Survey on Security and Privacy Issues in Edge Computing-Assisted Internet o...DESMOND YUEN
Â
Internet of Things (IoT) is an innovative paradigm
envisioned to provide massive applications that are now part of
our daily lives. Millions of smart devices are deployed within
complex networks to provide vibrant functionalities including
communications, monitoring, and controlling of critical infrastructures. However, this massive growth of IoT devices and the corresponding huge data traffic generated at the edge of the network created additional burdens on the state-of-the-art
centralized cloud computing paradigm due to the bandwidth and
resources scarcity. Hence, edge computing (EC) is emerging as
an innovative strategy that brings data processing and storage
near to the end users, leading to what is called EC-assisted IoT.
Although this paradigm provides unique features and enhanced
quality of service (QoS), it also introduces huge risks in data security and privacy aspects. This paper conducts a comprehensive survey on security and privacy issues in the context of EC-assisted IoT. In particular, we first present an overview of EC-assisted IoT including definitions, applications, architecture, advantages, and challenges. Second, we define security and privacy in the context of EC-assisted IoT. Then, we extensively discuss the major classifications of attacks in EC-assisted IoT and provide possible solutions and countermeasures along with the related research efforts. After that, we further classify some security and privacy issues as discussed in the literature based on security services and based on security objectives and functions. Finally, several open challenges and future research directions for secure EC-assisted IoT paradigm are also extensively provided.
A new algorithm to enhance security against cyber threats for internet of thi...IJECEIAES
Â
One major problem is detecting the unsuitability of traffic caused by a distributed denial of services (DDoS) attack produced by third party nodes, such as smart phones and other handheld Wi-Fi devices. During the transmission between the devices, there are rising in the number of cyber attacks on systems by using negligible packets, which lead to suspension of the services between source and destination, and can find the vulnerabilities on the network. These vulnerable issues have led to a reduction in the reliability of networks and a reduction in consumer confidence. In this paper, we will introduce a new algorithm called rout attack with detection algorithm (RAWD) to reduce the affect of any attack by checking the packet injection, and to avoid number of cyber attacks being received by the destination and transferred through a determined path or alternative path based on the problem. The proposed algorithm will forward the real time traffic to the required destination from a new alternative backup path which is computed by it before the attacked occurred. The results have showed an improvement when the attack occurred and the alternative path has used to make sure the continuity of receiving the data to the main destination without any affection.
A Survey Report on : Security & Challenges in Internet of Thingsijsrd.com
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In the era of computing technology, Internet of Things (IoT) devices are now popular in each and every domains like e-governance, e-Health, e-Home, e-Commerce, and e-Trafficking etc. Iot is spreading from small to large applications in all fields like Smart Cities, Smart Grids, Smart Transportation. As on one side IoT provide facilities and services for the society. On the other hand, IoT security is also a crucial issues.IoT security is an area which totally concerned for giving security to connected devices and networks in the IoT .As, IoT is vast area with usability, performance, security, and reliability as a major challenges in it. The growth of the IoT is exponentially increases as driven by market pressures, which proportionally increases the security threats involved in IoT The relationship between the security and billions of devices connecting to the Internet cannot be described with existing mathematical methods. In this paper, we explore the opportunities possible in the IoT with security threats and challenges associated with it.
IoT: Effective Authentication System (EAS) using Hash based Encryption on RFI...Dr. Amarjeet Singh
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Internet of Things (IoT) is undoubtedly a well-known research area. Security on IoT communication services is the major challenge with advanced technology and devices. This paper mainly focusing on Perceptron layer based attacks and counter measures based on Effective Authentication System (EAS). This paper is ordered as outlining IoT Architecture, Types of Threats ,Perceptron Layer based attacks, sensor based communication services ,RFID mechanism ,Tag identify and verification by back end server and Hash based Effective Authentication System (EAS) to avoid pseudonym attacks .This paper proposes EAS as security measure by preventing privacy attack, pseudonym attack, location tracking and asynchronous attack.
A survey on Internet of Things (IoT) security : Challenges and Current statusvivatechijri
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When Internet of Things (IoT) applications become a part of peopleâs daily life, security issues in IoT have caught substantial attention in both academia and industry. Compared to traditional computing systems, IoT systems have more inherent vulnerabilities, and in the intervening time, could have higher security requirements. However, the current design of IoT does not successfully address the higher security requirements postured by those vulnerabilities. Many recent attacks on IoT systems have shown that novel security solutions are needed to defend this emerging system. This paper purposes to examine security challenges resulted from the special characteristics of the IoT systems and the new features of the IoT applications. This could help pave the road to better security solution design. Furthermore, three architectural security designs are suggested and analyzed. Examples of how to implement these designs are discussed. Finally, for each layer in IoT architecture, open issues are also identified.
Internet of Things (IoT) is becoming an emerging trend superseding other technologies and researchers considered it as the future of internet. As now the connectivity to the World Wide Web is becoming highly available cost is drastically decreasing so everyone can afford the technology. As Internet of Things provides a great opportunity to develop an important industrial systems and applications with the help of various kind of sensors that can sense out the environment using number of devices that is connected to the internet, usage of IoT is drastically increasing and becoming a common thing. With this sky-rocketed usage and the demand, Communication and storing of the information faces serious security issues as the security of IoT devices become just an afterthought when manufacturing most of the devices. This study tries to summarize this IoT security issues in terms of primary information security concepts confidentiality, integrity and availability with regards to its architecture.
Privacy-aware secured discrete framework in wireless sensor networkIJECEIAES
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Rapid expansion of wireless sensor network-internet of things (WSN-IoT) in terms of application and technologies has led to wide research considering efficiency and security aspects. Considering the efficiency approach such as data aggregation along with consensus mechanism has been one of the efficient and secure approaches, however, privacy has been one of major concern and it remains an open issue due to low classification and high misclassification rate. This research work presents the privacy and reliable aware discrete (PRD-aggregation) framework to protect and secure the privacy of the node. It works by initializing the particular variable for each node and defining the threshold; further nodes update their state through the functions, and later consensus is developed among the sensor nodes, which further updates. The novelty of PRD is discretized transmission for efficiency and security. PRD-aggregation offers reliability through efficient termination criteria and avoidance of transmission failure. PRD-aggregation framework is evaluated considering the number of deceptive nodes for securing the node in the network. Furthermore, comparative analysis proves the marginal improvisation in terms of discussed parameter against the existing protocol.
Using Machine Learning to Build a Classification Model for IoT Networks to De...IJCNCJournal
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Internet of things (IoT) has led to several security threats and challenges within society. Regardless of the benefits that it has brought with it to the society, IoT could compromise the security and privacy of individuals and companies at various levels. Denial of Service (DoS) and Distributed DoS (DDoS) attacks, among others, are the most common attack types that face the IoT networks. To counter such attacks, companies should implement an efficient classification/detection model, which is not an easy task. This paper proposes a classification model to examine the effectiveness of several machine-learning algorithms, namely, Random Forest (RF), k-Nearest Neighbors (KNN), and NaĂŻve Bayes. The machine learning algorithms are used to detect attacks on the UNSW-NB15 benchmark dataset. The UNSW-NB15 contains normal network traffic and malicious traffic instants. The experimental results reveal that RF and KNN classifiers give the best performance with an accuracy of 100% (without noise injection) and 99% (with 10% noise filtering), while the NaĂŻve Bayes classifier gives the worst performance with an accuracy of 95.35% and 82.77 without noise and with 10% noise, respectively. Other evaluation matrices, such as precision and recall, also show the effectiveness of RF and KNN classifiers over NaĂŻve Bayes.
With rapid growth of science and information technology, Internet of things (IoT) becomes as an integral part of daily life. The applications of IoT are expanded starting from connected cars, wearables, connected health, smart retail and healthcare. However, security issues are increasing with the increase of its use. Lack of compliances on the part of IoT manufacturers, lack of user knowledge and awareness, device update and management, lack of physical hardening and botnet attacks are considered as the major reasons for security issues in IoT based applications. In this aspect, it becomes important to analyze security issues involved with IoT and its impact on the users that has been performed in the present study
IS THERE A TROJAN! : LITERATURE SURVEY AND CRITICAL EVALUATION OF THE LATEST ...IJCI JOURNAL
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IoT as a domain has grown so much in the last few years that it rivals that of the mobile network
environments in terms of data volumes as well as cybersecurity threats. The confidentiality and privacy of
data within IoT environments have become very important areas of security research within the last few
years. More and more security experts are interested in designing robust IDS systems to protect IoT
environments as a supplement to the more traditional security methods. Given that IoT devices are
resource-constrained and have a heterogeneous protocol stack, most traditional intrusion detection
approaches donât work well within these schematic boundaries. This has led security researchers to
innovate at the intersection of Machine Learning and IDS to solve the shortcomings of non-learning based
IDS systems in the IoT ecosystem.
Comprehensive survey on security problems and key technologies of the interne...RSIS International
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Internet of things (IoT) is a collection of many
interconnected objects, services, humans, and devices that can
communicate, share data, and information to achieve a common
goal in different areas and applications. The vision of IoT is to
enable devices to collaborate with each other on the Internet. IoT
security focuses on authentication and access control protocols.
IoT security is the area with protection connected devices and
networks. There are many key challenges in designing a secure
IoT: Privacy, Authentication, Access Control, Trust,
Confidentiality, Mobile Security, etc. Attacks on IoT security
devices are physical attacks, side channel attacks, cryptanalysis
attacks, software attacks, network attacks. This paper describes
Security Problems of IoT, Security issues and Key Technologies
of IoT.
Comprehensive Survey on Security Problems and Key Technologies of the Interne...RSIS International
Â
Internet of things (IoT) is a collection of many
interconnected objects, services, humans, and devices that can
communicate, share data, and information to achieve a common
goal in different areas and applications. The vision of IoT is to
enable devices to collaborate with each other on the Internet. IoT
security focuses on authentication and access control protocols.
IoT security is the area with protection connected devices and
networks. There are many key challenges in designing a secure
IoT: Privacy, Authentication, Access Control, Trust,
Confidentiality, Mobile Security, etc. Attacks on IoT security
devices are physical attacks, side channel attacks, cryptanalysis
attacks, software attacks, network attacks. This paper describes
Security Problems of IoT, Security issues and Key Technologies
of IoT.
Internet of Things IoT Anytime Anywhere Anything ConnectivityYogeshIJTSRD
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This paper presents the key challenges in the domain of IoT. The key challenges associated with the development of IoT, industry as well as government, Industrial IoT systems, the related security and privacy challenges has been reviewed and presented. Vulnerability of Internet of Things systems have been improved with the advent of new computational systems for IoT. However, the current design of IoT does not effectively address the higher security requirements posed by those vulnerabilities. Many recent attacks on IoT systems have shown that novel security solutions are needed to protect this emerging system. Nidhi Chadha | Ramandeep Kaur "Internet of Things (IoT): Anytime-Anywhere-Anything Connectivity" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-3 , April 2021, URL: https://www.ijtsrd.com/papers/ijtsrd40008.pdf Paper URL: https://www.ijtsrd.com/computer-science/computer-network/40008/internet-of-things-iot-anytimeanywhereanything-connectivity/nidhi-chadha
Malware threat analysis techniques and approaches for IoT applications: a reviewjournalBEEI
Â
Internet of things (IoT) is a concept that has been widely used to improve business efficiency and customerâs experience. It involves resource constrained devices connecting to each other with a capability of sending data, and some with receiving data at the same time. The IoT environment enhances user experience by giving room to a large number of smart devices to connect and share information. However, with the sophistication of technology has resulted in IoT applications facing with malware threat. Therefore, it becomes highly imperative to give an understanding of existing state-of-the-art techniques developed to address malware threat in IoT applications. In this paper, we studied extensively the adoption of static, dynamic and hybrid malware analyses in proffering solution to the security problems plaguing different IoT applications. The success of the reviewed analysis techniques were observed through case studies from smart homes, smart factories, smart gadgets and IoT application protocols. This study gives a better understanding of the holistic approaches to malware threats in IoT applications and the way forward for strengthening the protection defense in IoT applications.
A review on machine learning based intrusion detection system for internet of...IJECEIAES
Â
Within an internet of things (IoT) environment, the fundamental purpose of various devices is to gather the abundant amount of data that is being generated and then transmit this data to the predetermined server over the internet. IoT connects billions of objects and the internet to communicate without human intervention. But network security and privacy issues are increasing very fast, in today's world. Because of the prevalence of technological advancement in regular activities, internet security has evolved into a necessary requirement. Because technology is integrated into every aspect of contemporary life, cyberattacks on the internet of things represent a bigger danger than attacks against traditional networks. Researchers have found that combining machine learning techniques into an intrusion detection system (IDS) is an efficient way to get beyond the limitations of conventional IDSs in an IoT context. This research presents a comprehensive literature assessment and develops an intrusion detection system that makes use of machine learning techniques to address security problems in an IoT environment. Along with a comprehensive look at the state of the art in terms of intrusion detection systems for IoT-enabled environments, this study also examines the attributes of approaches, common datasets, and existing methods utilized to construct such systems.
INTERNET OF THINGS A STUDY ON SECURITY AND PRIVACY THREATSMd .docxvrickens
Â
INTERNET OF THINGS: A STUDY ON SECURITY AND PRIVACY THREATS
Md Husamuddin
Dept. of computer science
College of CS and IT, Al-Baha University
Al-Baha, Kingdom of Saudi Arabia
Dr. [email protected]
ABSTRACT
The current world is driven by new, developing technologies. This has resulted in a variety of smart devices in the society that has impacted positively on the lives of people in the community. However, the organization has been experiencing threats and cyberattacks that mostly targets the private information. Therefore, in this paper, my discussion is centered on the different applications of the internet of things as well as security threats that are involved.
Keywords: security, privacy.
INTRODUCTION
The Internet of things is the most significant of the future of the internet. IoT has a global network through which ant object can connect with the other devices that are also linked on the internet. These devices include computers, tabs, cell phones, among many others. Generally, the internet of things is a system made up of connected things. This machine contains a microchip that connects all the methods related to it. Microchips serve the function of tracking the surrounding of the network and to give the report in case of any findings pertaining to the internet. The meaning of PC wrongdoing and cloud wrongdoing will be come to out to the IoT wrongdoing, which talks to any malignant development that incorporates the IoT worldview as within the IoT contraptions, organizations, or correspondence channels can be a subject, thing, or gadget recognized with the infringement. To investigate these sorts of cases, it is required to execute computerized crime scene examination technique within the IoT to choose the substances around an event. The meaning of a capable and adjust IoT progressed lawful sciences method is still at its unimaginable intrigued (Husamuddin, 2015). The most significant part of IoT is that it makes it possible for different entities to be communicated and to be accessed via the internet. This is very economical as a result, attracts many devices to be connected to the internet (Balte &Patil,2015). Research shows that more than 40 billion devices in 2019 got connected, and a higher risk of this is expected in the current year.
SECURITY REQUIREMENTS
The rate at which technologies are emerging is so high, and this has lead to threats as well as a privacy issue. The smart devices arising from this technology will interact with other devices and transmit information in the network (Balte, &Patil,2015). If a computer gets infected, the effects ripples to other devices in the system; thus, the whole internet infrastructure would be at risk. As soon as an attack spot has been identified, it is feasible to enumerate the safety vulnerabilities and risk prone regions requiring defense-in-intensity protection. Such safety refers to a typically used approach to protect important data on company networks wherein security controls ...
A Survey on Security and Privacy Issues in Edge Computing-Assisted Internet o...DESMOND YUEN
Â
Internet of Things (IoT) is an innovative paradigm
envisioned to provide massive applications that are now part of
our daily lives. Millions of smart devices are deployed within
complex networks to provide vibrant functionalities including
communications, monitoring, and controlling of critical infrastructures. However, this massive growth of IoT devices and the corresponding huge data traffic generated at the edge of the network created additional burdens on the state-of-the-art
centralized cloud computing paradigm due to the bandwidth and
resources scarcity. Hence, edge computing (EC) is emerging as
an innovative strategy that brings data processing and storage
near to the end users, leading to what is called EC-assisted IoT.
Although this paradigm provides unique features and enhanced
quality of service (QoS), it also introduces huge risks in data security and privacy aspects. This paper conducts a comprehensive survey on security and privacy issues in the context of EC-assisted IoT. In particular, we first present an overview of EC-assisted IoT including definitions, applications, architecture, advantages, and challenges. Second, we define security and privacy in the context of EC-assisted IoT. Then, we extensively discuss the major classifications of attacks in EC-assisted IoT and provide possible solutions and countermeasures along with the related research efforts. After that, we further classify some security and privacy issues as discussed in the literature based on security services and based on security objectives and functions. Finally, several open challenges and future research directions for secure EC-assisted IoT paradigm are also extensively provided.
A new algorithm to enhance security against cyber threats for internet of thi...IJECEIAES
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One major problem is detecting the unsuitability of traffic caused by a distributed denial of services (DDoS) attack produced by third party nodes, such as smart phones and other handheld Wi-Fi devices. During the transmission between the devices, there are rising in the number of cyber attacks on systems by using negligible packets, which lead to suspension of the services between source and destination, and can find the vulnerabilities on the network. These vulnerable issues have led to a reduction in the reliability of networks and a reduction in consumer confidence. In this paper, we will introduce a new algorithm called rout attack with detection algorithm (RAWD) to reduce the affect of any attack by checking the packet injection, and to avoid number of cyber attacks being received by the destination and transferred through a determined path or alternative path based on the problem. The proposed algorithm will forward the real time traffic to the required destination from a new alternative backup path which is computed by it before the attacked occurred. The results have showed an improvement when the attack occurred and the alternative path has used to make sure the continuity of receiving the data to the main destination without any affection.
A Survey Report on : Security & Challenges in Internet of Thingsijsrd.com
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In the era of computing technology, Internet of Things (IoT) devices are now popular in each and every domains like e-governance, e-Health, e-Home, e-Commerce, and e-Trafficking etc. Iot is spreading from small to large applications in all fields like Smart Cities, Smart Grids, Smart Transportation. As on one side IoT provide facilities and services for the society. On the other hand, IoT security is also a crucial issues.IoT security is an area which totally concerned for giving security to connected devices and networks in the IoT .As, IoT is vast area with usability, performance, security, and reliability as a major challenges in it. The growth of the IoT is exponentially increases as driven by market pressures, which proportionally increases the security threats involved in IoT The relationship between the security and billions of devices connecting to the Internet cannot be described with existing mathematical methods. In this paper, we explore the opportunities possible in the IoT with security threats and challenges associated with it.
IoT: Effective Authentication System (EAS) using Hash based Encryption on RFI...Dr. Amarjeet Singh
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Internet of Things (IoT) is undoubtedly a well-known research area. Security on IoT communication services is the major challenge with advanced technology and devices. This paper mainly focusing on Perceptron layer based attacks and counter measures based on Effective Authentication System (EAS). This paper is ordered as outlining IoT Architecture, Types of Threats ,Perceptron Layer based attacks, sensor based communication services ,RFID mechanism ,Tag identify and verification by back end server and Hash based Effective Authentication System (EAS) to avoid pseudonym attacks .This paper proposes EAS as security measure by preventing privacy attack, pseudonym attack, location tracking and asynchronous attack.
A survey on Internet of Things (IoT) security : Challenges and Current statusvivatechijri
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When Internet of Things (IoT) applications become a part of peopleâs daily life, security issues in IoT have caught substantial attention in both academia and industry. Compared to traditional computing systems, IoT systems have more inherent vulnerabilities, and in the intervening time, could have higher security requirements. However, the current design of IoT does not successfully address the higher security requirements postured by those vulnerabilities. Many recent attacks on IoT systems have shown that novel security solutions are needed to defend this emerging system. This paper purposes to examine security challenges resulted from the special characteristics of the IoT systems and the new features of the IoT applications. This could help pave the road to better security solution design. Furthermore, three architectural security designs are suggested and analyzed. Examples of how to implement these designs are discussed. Finally, for each layer in IoT architecture, open issues are also identified.
Internet of Things (IoT) is becoming an emerging trend superseding other technologies and researchers considered it as the future of internet. As now the connectivity to the World Wide Web is becoming highly available cost is drastically decreasing so everyone can afford the technology. As Internet of Things provides a great opportunity to develop an important industrial systems and applications with the help of various kind of sensors that can sense out the environment using number of devices that is connected to the internet, usage of IoT is drastically increasing and becoming a common thing. With this sky-rocketed usage and the demand, Communication and storing of the information faces serious security issues as the security of IoT devices become just an afterthought when manufacturing most of the devices. This study tries to summarize this IoT security issues in terms of primary information security concepts confidentiality, integrity and availability with regards to its architecture.
Privacy-aware secured discrete framework in wireless sensor networkIJECEIAES
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Rapid expansion of wireless sensor network-internet of things (WSN-IoT) in terms of application and technologies has led to wide research considering efficiency and security aspects. Considering the efficiency approach such as data aggregation along with consensus mechanism has been one of the efficient and secure approaches, however, privacy has been one of major concern and it remains an open issue due to low classification and high misclassification rate. This research work presents the privacy and reliable aware discrete (PRD-aggregation) framework to protect and secure the privacy of the node. It works by initializing the particular variable for each node and defining the threshold; further nodes update their state through the functions, and later consensus is developed among the sensor nodes, which further updates. The novelty of PRD is discretized transmission for efficiency and security. PRD-aggregation offers reliability through efficient termination criteria and avoidance of transmission failure. PRD-aggregation framework is evaluated considering the number of deceptive nodes for securing the node in the network. Furthermore, comparative analysis proves the marginal improvisation in terms of discussed parameter against the existing protocol.
Using Machine Learning to Build a Classification Model for IoT Networks to De...IJCNCJournal
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Internet of things (IoT) has led to several security threats and challenges within society. Regardless of the benefits that it has brought with it to the society, IoT could compromise the security and privacy of individuals and companies at various levels. Denial of Service (DoS) and Distributed DoS (DDoS) attacks, among others, are the most common attack types that face the IoT networks. To counter such attacks, companies should implement an efficient classification/detection model, which is not an easy task. This paper proposes a classification model to examine the effectiveness of several machine-learning algorithms, namely, Random Forest (RF), k-Nearest Neighbors (KNN), and NaĂŻve Bayes. The machine learning algorithms are used to detect attacks on the UNSW-NB15 benchmark dataset. The UNSW-NB15 contains normal network traffic and malicious traffic instants. The experimental results reveal that RF and KNN classifiers give the best performance with an accuracy of 100% (without noise injection) and 99% (with 10% noise filtering), while the NaĂŻve Bayes classifier gives the worst performance with an accuracy of 95.35% and 82.77 without noise and with 10% noise, respectively. Other evaluation matrices, such as precision and recall, also show the effectiveness of RF and KNN classifiers over NaĂŻve Bayes.
With rapid growth of science and information technology, Internet of things (IoT) becomes as an integral part of daily life. The applications of IoT are expanded starting from connected cars, wearables, connected health, smart retail and healthcare. However, security issues are increasing with the increase of its use. Lack of compliances on the part of IoT manufacturers, lack of user knowledge and awareness, device update and management, lack of physical hardening and botnet attacks are considered as the major reasons for security issues in IoT based applications. In this aspect, it becomes important to analyze security issues involved with IoT and its impact on the users that has been performed in the present study
IS THERE A TROJAN! : LITERATURE SURVEY AND CRITICAL EVALUATION OF THE LATEST ...IJCI JOURNAL
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IoT as a domain has grown so much in the last few years that it rivals that of the mobile network
environments in terms of data volumes as well as cybersecurity threats. The confidentiality and privacy of
data within IoT environments have become very important areas of security research within the last few
years. More and more security experts are interested in designing robust IDS systems to protect IoT
environments as a supplement to the more traditional security methods. Given that IoT devices are
resource-constrained and have a heterogeneous protocol stack, most traditional intrusion detection
approaches donât work well within these schematic boundaries. This has led security researchers to
innovate at the intersection of Machine Learning and IDS to solve the shortcomings of non-learning based
IDS systems in the IoT ecosystem.
Comprehensive survey on security problems and key technologies of the interne...RSIS International
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Internet of things (IoT) is a collection of many
interconnected objects, services, humans, and devices that can
communicate, share data, and information to achieve a common
goal in different areas and applications. The vision of IoT is to
enable devices to collaborate with each other on the Internet. IoT
security focuses on authentication and access control protocols.
IoT security is the area with protection connected devices and
networks. There are many key challenges in designing a secure
IoT: Privacy, Authentication, Access Control, Trust,
Confidentiality, Mobile Security, etc. Attacks on IoT security
devices are physical attacks, side channel attacks, cryptanalysis
attacks, software attacks, network attacks. This paper describes
Security Problems of IoT, Security issues and Key Technologies
of IoT.
Comprehensive Survey on Security Problems and Key Technologies of the Interne...RSIS International
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Internet of things (IoT) is a collection of many
interconnected objects, services, humans, and devices that can
communicate, share data, and information to achieve a common
goal in different areas and applications. The vision of IoT is to
enable devices to collaborate with each other on the Internet. IoT
security focuses on authentication and access control protocols.
IoT security is the area with protection connected devices and
networks. There are many key challenges in designing a secure
IoT: Privacy, Authentication, Access Control, Trust,
Confidentiality, Mobile Security, etc. Attacks on IoT security
devices are physical attacks, side channel attacks, cryptanalysis
attacks, software attacks, network attacks. This paper describes
Security Problems of IoT, Security issues and Key Technologies
of IoT.
Internet of Things IoT Anytime Anywhere Anything ConnectivityYogeshIJTSRD
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This paper presents the key challenges in the domain of IoT. The key challenges associated with the development of IoT, industry as well as government, Industrial IoT systems, the related security and privacy challenges has been reviewed and presented. Vulnerability of Internet of Things systems have been improved with the advent of new computational systems for IoT. However, the current design of IoT does not effectively address the higher security requirements posed by those vulnerabilities. Many recent attacks on IoT systems have shown that novel security solutions are needed to protect this emerging system. Nidhi Chadha | Ramandeep Kaur "Internet of Things (IoT): Anytime-Anywhere-Anything Connectivity" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-3 , April 2021, URL: https://www.ijtsrd.com/papers/ijtsrd40008.pdf Paper URL: https://www.ijtsrd.com/computer-science/computer-network/40008/internet-of-things-iot-anytimeanywhereanything-connectivity/nidhi-chadha
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A Strategic Approach: GenAI in EducationPeter Windle
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Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
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This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
How to Add Chatter in the odoo 17 ERP ModuleCeline George
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June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
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The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
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