A framework for securing mobile wireless sensor networks against physical attacks

Qabulio, Mumtaz; Malkani, Yasir Arfat; Keerio, A.

doi:10.1109/icet.2016.7813265

Cited by 9 publications

(9 citation statements)

References 14 publications

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“…The researcher's examine the 3D printing mechanism, searched the side channels through the Smartphone, and compared the 3D printer to the side- channel attack. In [54] node tempering attack all sensor networks are physically access and control all over the sensor nodes. Software modification attack [54], attackers manipulate the software's.…”

Section: The Security Challenges and Attacks In Iotmentioning

confidence: 99%

Device Classification for Machine to Machine Communication in Internet of Things for Tele-Robotic Surgery: A Review

Lokhande¹,

Patil²

2021

INDJCSE

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Internet of Things (IoT) domain gradually growing in information technology and telecommunications systems area considering its size and complexity. It is recognized as potential domain in IoT applications. New technologies need to anticipate this sharp increase in the number of varying smart devices. In current perspective, the IOT environment, which allows a huge network of things to communicate with each other, may face a number of technical and application problems, such as privacy concerns, security, sensor anonymity, decision support, a variety of device applications, and so on. In this review paper, goal is to study various frameworks for IoT device classification possible in Tele robotic surgery and summarizes the classification algorithm. Tele robotic surgery needs robust and beneficiary control techniques for providing efficient and precise alternative for medical surgeries. Time delays over network severely impact the stability in the surgery and eventually affect the performance of expert doctors. Also we analyze the problems encountered with the M2M connectivity of network devices.

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Section: The Security Challenges and Attacks In Iotmentioning

confidence: 99%

Device Classification for Machine to Machine Communication in Internet of Things for Tele-Robotic Surgery: A Review

Lokhande¹,

Patil²

2021

INDJCSE

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“…This leads to scalability problem where there is a need for efficient security protocol that can deal with large scale nodes. 4) Most of the current security algorithms like µTESLA [53] and its successors [1] [2] does not take synchronization into consideration while most of the protocols are based on synchronization among the node or between the nodes and the sink node. 5) WSNs are currently used with data stream including audio and video while the current security algorithms may focus on discrete events.…”

Section: Open Research Issuesmentioning

confidence: 99%

“…At the same time, it is not an easy job to do. Examples of WSNs applications include: Battlefield [1] such as (identification of enemy capabilities and positions, and recognizing soldier activities in the field [2], In hospitals for health care [3] [4], in roads for traffic monitoring [5] [6], railway bridge monitoring [7], disasters detection (such as fire [8], volcano [9] , landslide, or earthquake [10]), identification of lowlevel point radiation sources [11], air pollution detection and monitoring [12], atmospheric observation [12] [13], wildlife animals observation [14], and smart agriculture systems [15].…”

Section: Introductionmentioning

confidence: 99%

“…Garnished Attack: in this attack, the malicious node is smart enough to behave both good and bad with the aim of remaining undetected [1]. The behavior of the malicious node varies according to time, or feature.…”

mentioning

confidence: 99%

“…Replay Attack: the intruder in this attack records some data packets and resends it later instead of sensing, collecting, and sending real information. The objective of this behavior is to mislead the base station and corrupt its query answers [1]. As illustrated in figure 8, the intruder eavesdrops the network and records a real data packets and then forward it later as if it is real data.…”

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confidence: 99%

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Sensor Networks Attacks Classifications and Mitigation

Daia

Ramadan

Fayek

2018

AETiC

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Wireless Sensor Networks (WSNs) are exposed to many security attacks, and it can be easily compromised. One of the main reasons for these vulnerabilities is the deployment nature, where sensor nodes are deployed without physical guarding duty. That makes the network susceptible to physical attacks. The communication nature between sensor nodes is another reason, where intruders can easily send/receive information if they are located in the network communication range. In this paper, most of the possible WSN attacks are discussed, different security services expected in WSN are explained, and trust-based solutions proposed in the literature are listed. Moreover, the state-of-the-art of the attacks’ mitigation and avoidance techniques are presented. Besides, this paper is enriched with a new classification of the WSNs attacks regarding attacks’ characteristics. It will be beneficial to researchers in the field of WSNs security if they can distinguish between different attacks that have common characteristics.

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Taxonomy of IoT Vulnerabilities

Bou‐Harb

Neshenko

2020

Cyber Threat Intelligence for the Internet of Things

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A framework for securing mobile wireless sensor networks against physical attacks

Cited by 9 publications

References 14 publications

Device Classification for Machine to Machine Communication in Internet of Things for Tele-Robotic Surgery: A Review

Device Classification for Machine to Machine Communication in Internet of Things for Tele-Robotic Surgery: A Review

Sensor Networks Attacks Classifications and Mitigation

Taxonomy of IoT Vulnerabilities

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