Review on security and privacy concerns in Internet of Things

Kumar, Nishant Ganesh; Madhuri, J.; ChanneGowda, Manjunath

doi:10.1109/iciota.2017.8073640

Cited by 16 publications

(5 citation statements)

References 13 publications

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“…Smart campuses are subject to a variety of security threats and attacks, from external ones like DDoS and phishing attacks to internal ones like employee or student negligence or malicious acts. Here are a few of the most prevalent security threats that smart campuses must deal with: -Attacks through DDoS: As illustrated in Figure 6 DDoS attacks aim to disrupt normal network operation by overloading servers with malicious traffic coming from several computers [36].…”

Section: Attack Scenario In Smart Campusmentioning

confidence: 99%

Towards secure smart campus: security requirements, attacks and counter measures

Srhir,

Mazri,

Benbrahim

2023

IJEECS

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<span>The internet of things (IoT) has the potential to significantly impact growth due to the technological revolution, widespread dissemination of information, and emergence of events. Intelligent housing, urban centers, and educational systems are all forms of intelligence. The IoT gs has garnered significant attention from researchers, who claim that this technology will play a pivotal role in determining the future of the Internet, as per the reports of Cisco Inc., in this context, the concept of a smart campus refers to the establishment of a durable and interconnected setting that enhances learning, efficiency, and the overall living experience. Similar to other intelligent environments, the smart campus is susceptible to a variety of risks and threats this situation presents important security-related challenges that have an influence on the advancement of the campus. This article presents an overview of intelligent campuses by emphasizing the primary applications and technologies utilized. It provides an examination and evaluation of the primary security concerns associated with smart campuses, classified based on their respective types and levels of significance, and determines the security requirements, current threats and attacks, and the state of the art in terms of architectural solutions and the prevention of security vulnerabilities.</span>

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Section: Attack Scenario In Smart Campusmentioning

confidence: 99%

Towards secure smart campus: security requirements, attacks and counter measures

Srhir,

Mazri,

Benbrahim

2023

IJEECS

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“…A battery-based optimal communication environment has been similarly suggested as an optimal environment. The communication environment needs the least bat and most minor usage to convey a broadcast through the possibility of holding transmission-provided security [ 31 , 32 , 33 , 34 , 35 ].…”

Section: Related Workmentioning

confidence: 99%

A Secure Long-Range Transceiver for Monitoring and Storing IoT Data in the Cloud: Design and Performance Study

Sarkar

Kavitha

Ali

2022

Sensors

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Due to the high demand for Internet of Things (IoT) and real-time data monitoring and control applications in recent years, the long-range (LoRa) communication protocols leverage technology to provide inter-cluster communications in an effective manner. A secure LoRa system is required to monitor and store IoT data in the cloud. This paper aims to report on the design, analysis, and performance evaluation of a low-cost LoRa transceiver interface unit (433 MHz band) for the real-time monitoring and storing of IoT sensor data in the cloud. We designed and analyzed a low-cost LoRa transceiver interface unit consisting of a LoRa communication module and Wi-Fi module in the laboratory. The system was built (prototype) using radially available hardware devices from the local electronics shops at about USD 150. The transmitter can securely exchange IoT sensor data to the receiver node at about 10 km using a LoRa Wi-Fi module. The receiver node accumulates the sensor data and stores it in the cloud for processing. The performance of the proposed LoRa transceiver was evaluated by field experiments in which two transmitter nodes were deployed on the rooftop of Auckland University of Technology’s Tower building on city campus (New Zealand), and the receiver node was deployed in Liston Park, which was located 10 km away from the University Tower building. The manual incident field tests examined the accuracy of the sensor data, and the system achieved a data accuracy of about 99%. The reaction time of the transmitter nodes was determined by the data accumulation of sensor nodes within 2–20 s. Results show that the system is robust and can be used to effectively link city and suburban park communities.

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“…Researchers have already conducted classification of IoT attacks and various architectures have been proposed for authentication and access control [37], as well as to secure IoT communications [38]. Common IoT vulnerabilities and threats include distributed denial of service (DDOS) and attacks concerning integrity of data such as data modification attacks [39]. All modern IoT cryptographic models and security schemes are based on widely adopted privacy standards through encryption algorithms.…”

Section: Cloud Based Iot Data Privacy and Encryptionmentioning

confidence: 99%

On General Data Protection Regulation Vulnerabilities and Privacy Issues, for Wearable Devices and Fitness Tracking Applications

Ioannidou

Sklavos

2021

Cryptography

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Individual users’ sensitive information, such as heart rate, calories burned, or even sleep patterns, are casually tracked by smart wearable devices to be further processed or exchanged, utilizing the ubiquitous capabilities of Internet of Things (IoT) technologies. This work aims to explore the existing literature on various data privacy concerns, posed by the use of wearable devices, and experimentally analyze the data exchanged through mobile applications, in order to identify the underlying privacy and security risks. Emulating a man-in-the-middle attack scenario, five different commercial fitness tracking bands are examined, in order to test and analyze all data transmitted by each vendor’s suggested applications. The amount of personal data collected, processed, and transmitted for advertising purposes was significant and, in some cases, highly affected the network’s total overhead. Some of the applications examined requested access for sensitive data driven device functionalities, such as messaging, phone calling, audio recording, and camera usage, without any clear or specific reason stated by their privacy policy. This paper concludes by listing the most critical aspects in terms of privacy and security concerning some of the most popular commercial fitness tracking applications.

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Review on security and privacy concerns in Internet of Things

Cited by 16 publications

References 13 publications

Towards secure smart campus: security requirements, attacks and counter measures

Towards secure smart campus: security requirements, attacks and counter measures

A Secure Long-Range Transceiver for Monitoring and Storing IoT Data in the Cloud: Design and Performance Study

On General Data Protection Regulation Vulnerabilities and Privacy Issues, for Wearable Devices and Fitness Tracking Applications

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