Threats and Corrective Measures for IoT Security with Observance of Cybercrime: A Survey

Rani, Sita; Kataria, Aman; Sharma, Vishal; Ghosh, Swaroop; Karar, Vinod; Lee, Kyungroul; Choi, Chang

doi:10.1155/2021/5579148

Cited by 27 publications

(4 citation statements)

References 219 publications

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“…As the prevalence of key loggers has increased, numerous new attachment mechanisms have evolved. The report's author said that defending key human and commercial systems demands the most up-to-date knowledge of cyber security's threats and weaknesses (Rani et al, 2021). There are numerous open and hidden sources of information regarding these threats, including the National Vulnerability Database, CERT alerts, blog posts, social media, and black websites.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Users have little control over the setup or functionality of the gadgets they employ. It is well-known that only a small number of individuals possess the skills necessary to efficiently control or manage cyber warfare (Rani et al, 2021). The cyber realm is too enormous to be mastered by a single person or organization, even if they devote their entire life and acquire unfathomable amounts of specialized knowledge.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Analyses of Cybercrime Regulations Falling behind New Technologies

Pervaiz¹,

Bhatti²

2023

JSSR

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Information and communication technology (ICT) and digital systems have developed to the point that they are indispensable to all industries, including Europe. The extensive use of preventative measures reflects the growing concern regarding cyber security. Concerns regarding cyber security in light of new technology are the primary focus of this review paper, which also discusses the problem of out-of-date cybercrime regulations. New technological advancements in cyber security, together with ethical considerations and external factors, are highlighted. To prevent sensitive data from falling into the wrong hands and jeopardising the security of the financial industry, the industry must continually analyse and improve its systems. In this review article, we examine more than twenty unique scholarly evaluations. The abstract and introduction comprise the first section of this review. In this review article, we discussed a variety of scholarly opinions on the topic as reviews. Typically, the final paragraph of an article includes a concise summary of the main arguments and supporting evidence presented in the body of the article. Moreover, security threats and challenges, as well as the most recent developments and emerging trends in cyber security, are discussed. People today are more inclined to conduct business on the internet than they were a decade ago. Likewise, it is more difficult than ever to retain what we have learnt. Additionally, a spike in cybercrime has been connected to the exponential expansion of social media platforms. Data security is of the utmost importance in the area of information technology. Information security is one of the most significant issues of the contemporary era. The term "cybersecurity" is always the first thing that comes to mind when discussing "cybercrimes," which are increasing at an alarming rate every day (Brands & Van Doorn, 2022). In order to combat this type of cybercrime, governments and corporations have created a variety of protective measures. The extensive use of preventative measures reflects the growing concern regarding cyber security. Concerns regarding cyber security in light of new technology are the primary focus of this review paper, which also discusses the problem of out-of-date cybercrime regulations. New technological advancements in cyber security, together with ethical considerations and external factors, are highlighted. It is well-known that the dynamic nature of the financial ecosystem will impact some aspect of the institution's infrastructure, as well as the financial sector's susceptibility to cybercrimes, particularly denial-of-service attacks (Brands & Van Doorn, 2022). To prevent sensitive data from falling into the wrong hands and jeopardising the security of the financial industry, the industry must continually analyse and improve its systems. The financial sector has been far ahead of other businesses in terms of investment and innovation in cyber security, with the banking industry at the forefront of safety system deployment and best practises. In this review article, we examine more than twenty unique scholarly evaluations. The abstract and introduction comprise the first section of this review. These introductions and abstracts elaborate on the most recent facts. Earlier, we discussed a variety of scholarly opinions on the topic as reviews. Typically, the final paragraph of an article includes a concise summary of the main arguments and supporting evidence presented in the body of the article. Moreover, security threats and challenges, as well as the most recent developments and emerging trends in cyber security, are discussed. The supplied comprehensive review study is anticipated to be beneficial for IT and cyber security specialists.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analyses of Cybercrime Regulations Falling behind New Technologies

Pervaiz¹,

Bhatti²

2023

JSSR

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show abstract

“…Statista.com estimated that the sum of IoT-connected devices will be 30.9 billion units worldwide by 2025 (Statista, 2021). These devices are heterogeneous having different manufacturers, protocols, specifications, and command interfaces with no existing standard followed; thus opening up the entire IoT system to threats and attacks (Rani et al, 2021). While existing threats are easier to manage, emerging threats consist of different combinations of known threats and are therefore dynamic and more challenging.…”

Section: *Corresponding Authormentioning

confidence: 99%

Machine Learning Intrusion Detection as a Solution to Security and Privacy Issues in IoT: A Systematic Review

Darley¹,

Adenowo²,

Yussuff³

2022

FUOYEJET

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Billions of IoT devices are in use worldwide and generate a humongous amount of data for the IoT system. This continuous stream of data is open to attack during its collection, transportation, processing, dissemination and storage cycle. Also, IoT devices themselves are points of system vulnerability through which the system can be attacked. Machine learning (ML), due to its ability to identify inherent patterns and behaviour in data, has been applied by many researchers to IoT data such that strange patterns or intrusions into IoT systems can be speedily detected and real-time decisions on security and privacy (S&P) protection implemented in a timely manner. Different ML techniques with their different algorithms have provided solutions in various scenarios such that security and privacy requirements for the IoT system can be met. In particular, ML has been successfully applied in intrusion detection and has been shown to perform better than traditional means in flagging new trends of attacks. This paper presents a systematic literature review on ML intrusion detection in IoT. Academic journals from 2011 to 2021 from two databases (IEEE and Proquest) were explored using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework. A review of the final selected papers revealed that data preprocessing, feature extraction, model training and deployment of ML-based Intrusion Detection Systems (IDS) increase computational complexity resulting in greater resource requirement (CPU, memory, and energy); enable ML to be used in the execution of adversarial attacks on IoT devices and networks; require trade-offs between detection accuracy and false-positive events; and highlight the superior performance of deep learning methods over traditional ML ones in anomaly detection. Generally, the changing nature of attacks makes it difficult for any particular IDS to be able to detect all attack types thus making the development of IDS a continuing project.

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“…Each layer of the IoT suffers from at least one of these attacks. All layers of IoT suffers from DoS attacks, which prevent access to the network [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

Energy Efficient Consensus Approach of Blockchain for IoT Networks with Edge Computing

Wadhwa

Rani

Kavita

et al. 2022

Sensors

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Blockchain technology is gaining a lot of attention in various fields, such as intellectual property, finance, smart agriculture, etc. The security features of blockchain have been widely used, integrated with artificial intelligence, Internet of Things (IoT), software defined networks (SDN), etc. The consensus mechanism of blockchain is its core and ultimately affects the performance of the blockchain. In the past few years, many consensus algorithms, such as proof of work (PoW), ripple, proof of stake (PoS), practical byzantine fault tolerance (PBFT), etc., have been designed to improve the performance of the blockchain. However, the high energy requirement, memory utilization, and processing time do not match with our actual desires. This paper proposes the consensus approach on the basis of PoW, where a single miner is selected for mining the task. The mining task is offloaded to the edge networking. The miner is selected on the basis of the digitization of the specifications of the respective machines. The proposed model makes the consensus approach more energy efficient, utilizes less memory, and less processing time. The improvement in energy consumption is approximately 21% and memory utilization is 24%. Efficiency in the block generation rate at the fixed time intervals of 20 min, 40 min, and 60 min was observed.

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Threats and Corrective Measures for IoT Security with Observance of Cybercrime: A Survey

Cited by 27 publications

References 219 publications

Analyses of Cybercrime Regulations Falling behind New Technologies

Analyses of Cybercrime Regulations Falling behind New Technologies

Machine Learning Intrusion Detection as a Solution to Security and Privacy Issues in IoT: A Systematic Review

Energy Efficient Consensus Approach of Blockchain for IoT Networks with Edge Computing

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