Classification and analysis of security attacks in WSNs and IEEE 802.15.4 standards : A survey

Sharma, Mini; Tandon, Aditya; Narayan, Subhashini; Bhushan, Bharat

doi:10.1109/icaccaf.2017.8344727

Cited by 27 publications

(9 citation statements)

References 20 publications

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“…This data sensing, collection, and transfer to hubs are governed by typical IoT protocols. Some of these protocols include [67][68][69][70]:…”

Section: Role Of Iot In Smsmentioning

confidence: 99%

“…It also allows efficiency in telemedicine. Broadly, the smart contracts apply to the following aspects of the healthcare system [69][70][71][72][73] These smart contracts identify the role, access mechanism, data ownerships, and data exchange policies. As blockchain is a distributed ledger technology that is immutable, there are no chances of data compromises or other tampering issues, as all the entities of the SMS system will be able to uniquely identify the legitimacy of each other.…”

Section: Blockchain In Smsmentioning

confidence: 99%

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SMS: A Secure Healthcare Model for Smart Cities

2020

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Technological innovations have enabled the realization of a utopian world where all objects of everyday life, as well as humans, are interconnected to form an “Internet of Things (IoT).” These connected technologies and IoT solutions have led to the emergence of smart cities where all components are converted into a connected smart ecosystem. IoT has envisioned several areas of smart cities including the modern healthcare environment like real-time monitoring, patient information management, ambient-assisted living, ambient-intelligence, anomaly detection, and accelerated sensing. IoT has also brought a breakthrough in the medical domain by integrating stake holders, medical components, and hospitals to bring about holistic healthcare management. The healthcare domain is already witnessing promising IoT-based solutions ranging from embedded mobile applications to wearable devices and implantable gadgets. However, with all these exemplary benefits, there is a need to ensure the safety and privacy of the patient’s personal and medical data communicated to and from the connected devices and systems. For a smart city, it is pertinent to have an accessible, effective, and secure healthcare system for its inhabitants. This paper discusses the various elements of technology-enabled healthcare and presents a privacy-preserved and secure “Smart Medical System (SMS)” framework for the smart city ecosystem. For providing real-time analysis and responses, this paper proposes to use the concept of secured Mobile Edge Computing (MEC) for performing critical time-bound computations on the edge itself. In order to protect the medical and personal data of the patients and to make the data tamper-proof, the concept of blockchain has been used. Finally, this paper highlights the ways to capture and store the medical big data generated from IoT devices and sensors.

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“…This data sensing, collection, and transfer to hubs are governed by typical IoT protocols. Some of these protocols include [67][68][69][70]:…”

Section: Role Of Iot In Smsmentioning

confidence: 99%

Section: Blockchain In Smsmentioning

confidence: 99%

SMS: A Secure Healthcare Model for Smart Cities

2020

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“…• Sleep period Following the standards of 802.11 IEEE, numerous efficient control methods such as sleeping, collision avoidance, synchronization, and listening are usually coupled with a contention-based MAC while implementing S-MAC. In principle, S-MAC employs a cyclic wake-up method wherein each node has its listening and sleeping period of the definite length according to its schedule [10]. In this method, every node switches to sleep mode for a defined period and then wakes up for subsequently fixed listening as shown in Fig.…”

Section: B Synchronization In S-macmentioning

confidence: 99%

“…In order to have full autonomy over the data transfer [28], the compromised node aims for its adjacent nodes. The sinkhole attack [10] is started by the rival nodes from the adjacent nodes that are very close to the base station.…”

Section: Sinkhole Attackmentioning

confidence: 99%

Intruder Attacks on Wireless Sensor Networks: A Soft Decision and Prevention Mechanism

Hussain¹,

Zahra²,

Hussain³

et al. 2019

IJACSA

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Because of the wide-ranging of applications in a variety of fields, such as medicine, environmental studies, robotics, warfare and security, and so forth, the research on wireless sensor networks (WSNs) has attracted much attention recently. WSNs offer economical, flexible, scalable and pragmatic solutions in many situations. Sensor nodes are tiny and have a limited, non-rechargeable battery source, small memory/computational abilities and low transmitter power. Energy resources are vital as once the battery is depleted, the node is no longer usable. Multiple medium access control (MAC) protocols are designed to increase the life cycle of a node by minimizing its unnecessary energy consumption. In some critical applications like the surveillance of enemy movements on a battlefield, opponents deploy adversary nodes to disturb the performance of WSNs by mainly depleting the battery sources of legitimate nodes. In this work, an intrusion detection mechanism has been adapted to detect different kinds of intruders' attacks in MAC protocols of WSN's. A soft decision mechanism has been implemented to detect collision and exhaustion attacks. A preventative mechanism has also been introduced, which helps a node to avoid these intrusive attacks. Results show how the lifetime of a node increases and network performance also increases with better throughput and reduced delay.

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“…There require a large number of sensors deployed in harsh environments, and lack effective physical protection. Attackers often take advantage of these characteristics of wireless sensor network to carry out some malicious attacks [4]. Clone attack is an attack mode that captures some nodes in the sensor network, decrypts the internal secret information, and then massive copies these nodes and redeploys them to the network [5].…”

Section: Introductionmentioning

confidence: 99%

A Low Resource Consumption Clone Detection Method for Multi-Base Station Wireless Sensor Networks

Tang

Han

2020

IEEE Access

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To make up the existing deficiencies of clone attack detection methods of wireless sensor networks, a low resource consumption clone detection method (MSCD) for multi-base station wireless sensor networks is proposed. MSCD has the following characteristics: (1) Running in each ring network with base station as the center and using nodes in non-hotspot area to complete clone attack detection, which reduces the effect of clone attack detection on the network lifetime; (2) Combine the head node rotation mechanism and the backup head node mechanism to ensure the energy balance of the network; (3) The ring head node path can find clone nodes that come from different local networks, which makes the MSCD method be suitable for the whole multi-base station network. Meanwhile, in the detection domain of the head node, local broadcast is used to ensure the encounter of legitimacy verification messages and witness nodes; (4) It is proved theoretically that the clone detection probability of MSCD can reach 1 when the witness is credible. The theoretical analysis and the simulation results show that the MSCD clone detection probability is still above 98% when the number of clone nodes accounts for 10% of the total number of nodes, and the network lifetime and storage requirements are significantly better than the existing similar methods. INDEX TERMS Clone attacks, wireless sensor networks, network lifetime, multi-base station networks.

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Classification and analysis of security attacks in WSNs and IEEE 802.15.4 standards : A survey

Cited by 27 publications

References 20 publications

SMS: A Secure Healthcare Model for Smart Cities

SMS: A Secure Healthcare Model for Smart Cities

Intruder Attacks on Wireless Sensor Networks: A Soft Decision and Prevention Mechanism

A Low Resource Consumption Clone Detection Method for Multi-Base Station Wireless Sensor Networks

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