Security and Internet of Things: Benefits, Challenges, and Future Perspectives

Taherdoost, Hamed

doi:10.3390/electronics12081901

Cited by 17 publications

(13 citation statements)

References 73 publications

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“…The Internet has also shown many cyberattacks or attacks on its networks. Network security is critical because, as the Internet develops, enemies' attack strategies likewise change [12,13].…”

Section: Conceptsmentioning

confidence: 99%

Insights into Cybercrime Detection and Response: A Review of Time Factor

Taherdoost

2024

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Amidst an unprecedented period of technological progress, incorporating digital platforms into diverse domains of existence has become indispensable, fundamentally altering the operational processes of governments, businesses, and individuals. Nevertheless, the swift process of digitization has concurrently led to the emergence of cybercrime, which takes advantage of weaknesses in interconnected systems. The growing dependence of society on digital communication, commerce, and information sharing has led to the exploitation of these platforms by malicious actors for hacking, identity theft, ransomware, and phishing attacks. With the growing dependence of organizations, businesses, and individuals on digital platforms for information exchange, commerce, and communication, malicious actors have identified the susceptibilities present in these systems and have begun to exploit them. This study examines 28 research papers focusing on intrusion detection systems (IDS), and phishing detection in particular, and how quickly responses and detections in cybersecurity may be made. We investigate various approaches and quantitative measurements to comprehend the link between reaction time and detection time and emphasize the necessity of minimizing both for improved cybersecurity. The research focuses on reducing detection and reaction times, especially for phishing attempts, to improve cybersecurity. In smart grids and automobile control networks, faster attack detection is important, and machine learning can help. It also stresses the necessity to improve protocols to address increasing cyber risks while maintaining scalability, interoperability, and resilience. Although machine-learning-based techniques have the potential for detection precision and reaction speed, obstacles still need to be addressed to attain real-time capabilities and adjust to constantly changing threats. To create effective defensive mechanisms against cyberattacks, future research topics include investigating innovative methodologies, integrating real-time threat intelligence, and encouraging collaboration.

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Section: Conceptsmentioning

confidence: 99%

Insights into Cybercrime Detection and Response: A Review of Time Factor

Taherdoost

2024

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“…They particularly underscore the imperative for robust policy enforcement and effective governance of sensitive data [24,26,29]. Finally, education and training management played a massively important role in understanding how to assess the risks associated with changes in data privacy issues, as evidenced by studies on privacy ethics [30,31], explorations in the continuous learning process, models, and frameworks [27,28,32], as well as education assets, which encompassed gaps, challenges, and directions [10,11,15,16,18,26,32,33,34,35,36]. These findings resulted in insights into factors, subfactors, and issues from management perspectives, as shown in Table 3.…”

Section: Data Privacy On Management Perspectivesmentioning

confidence: 99%

“…Education Assets [24], [43] SStudy Personal Privacy Assistant Security Awareness and Training Education Assets [10][11][12][13][14][15][16][17][18], [26], [32][33][34][35][36] The study continues on privacy challenges and directions.…”

Section: Privacy and Compliance Education Security Awareness And Trai...mentioning

confidence: 99%

“…These elements regarding the success of secure IoT projects are associated with organizational aspects that impact the security of projects in terms of changes shaping the risks of securing the projects. However, this paper addresses data privacy changes, organizational characteristics related to privacy regulations [31,33], policy implementation [31], policy compliance [31,44] to ensure privacy considerations and privacy legislation [29], all of which are essential for fostering a culture of privacy with aspects in education and training [44]. These findings result in insights into factors, subfactors, and issues from organizational perspectives, as shown in Table 4.…”

Section: Data Privacy On Organizational Perspectivesmentioning

confidence: 99%

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Exploring the Impact of METO Factors with Data Privacy Changes at IoT Systems: A Comprehensive Review

Alshehri,

Rahman

2024

Preprint

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The rapid evolution of technology across various sectors, including individual, governmental, and nongovernmental IoT solutions, has resulted in significant shifts in data privacy requirements. These changes in regulations, policies, and procedures regarding data privacy have adversely affected security concerns, encompassing regulatory compliance, privacy protection, and security measures within In-house IoT software development companies. Therefore, the study aims to explore IoT privacy issues from the perspectives of in-house IoT software development companies and security, involving the collection of privacy concerns to gain new insights into challenges from various perspectives. To achieve this, we conduct a systematic review following the PRISMA approach to identify, evaluate, and interpret IoT privacy issues. We applied inclusion and exclusion criteria, focusing on accepting research papers for investigation published between 2015 and 2024. Out of 720 papers, 38 peer-reviewed articles were accepted. The primary classification of IoT privacy issues was as follows: 54% were related to management, 8% to organizational factors, 14% to environmental concerns, and 24% to technological aspects, MOTE Factors. Besides, we illustrate the associations between MOTE factors and security factors to avoid key conflicts at in-house IoT software development companies. Most explored articles were published between 2018 and 2024, illustrating an increasing interest among researchers in contributing to IoT privacy issues.

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“…The ubiquity of Arduino especially for Node MCU ESP8266 has been to be a main component that always used among hobbies, academics, and industries to develop many projects related to IoT devices [18] [19]. The microcontroller of ESP8266 has also equipped with wireless communication protocol that can be used to communicate with other devices and other infrastructure [19]. A comparison of several famous programming languages, namely C, Java, Python, and MATLAB has been conducted by Cubukcu et al [20].…”

Section: Study Literaturementioning

confidence: 99%

Low-Cost Security Monitoring System for Indoor Areas Based on The IoT

Sidharta

et al. 2023

INDJCSE

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The growth of the Internet of Things (IoT) to be implemented for smart homes still increases. In the smart home area, the IoT has a task to control every electricity automatically. Not only that, the IoT gives the convenience for users to control manually all the electricity in their homes remotely. One of the important things that makes the IoT concept very needed in smart homes can be used to monitor the environment through sensors. The sensor can also be utilized for security systems, especially to monitor the presence of intruders. In the previous research, several ways to provide more protection in the room are by changing the door lock from mechanical conventional to automatic. A Keypad module for typing passwords and biometric recognition was also proposed to secure the door. The room's monitoring system based-on camera for object detection was also proposed. By using the camera to detect an intruder, it needs huge computational resources. The detection times were also considered. To provide the fastest and low-cost model to detect the presence of intruders this study proposes a security monitoring system based on IoT composed of edge devices based on ESP8266 that are equipped with an ultrasonic sensor of HC-SR04 as an input sensor, and for the user Interface the based-on Java application is included. The ultrasonic sensor is used to measure a distance. When the intruder is assumed to pass through the front of the ultrasonic sensor, the edge device will read the change in distance and send the warning signal to the monitoring system based on Java. With a satisfactory result, this model can detect the presence of intruders with a speed of only 274.798 milliseconds.

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Security and Internet of Things: Benefits, Challenges, and Future Perspectives

Cited by 17 publications

References 73 publications

Insights into Cybercrime Detection and Response: A Review of Time Factor

Insights into Cybercrime Detection and Response: A Review of Time Factor

Exploring the Impact of METO Factors with Data Privacy Changes at IoT Systems: A Comprehensive Review

Low-Cost Security Monitoring System for Indoor Areas Based on The IoT

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