Security analysis of IEEE 802.15.4 MAC in the context of Internet of Things (IoT)

Sajjad, Syed Muhammad; Yousaf, Muhammad

doi:10.1109/ciacs.2014.6861324

Cited by 26 publications

(15 citation statements)

References 10 publications

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“…This layer includes different types of communication protocols such as Ethernet, IEEE802 families Programmable logic controller (PLC), Wireless Sensor Network (WSN), Global Positioning System (GPS), Near-Field Communication (NFC), Wireless-Highway Addressable Remote Transducer Protocol (Wireless-HART), Radio-Frequency Identification (RFID) Long Range Protocol (LoRa), Integrated Services Digital Network (ISDN), Bluetooth, Enterprise Service BUS (ESB), Integrated Development Environment (IDE), Digital Subscriber Line (DSL) etc. [82], [83], [84], [85]. A communication protocol can be chosen for a node based on the Quality of Service (QoS) demand.…”

Section: A Iot Model A: Perception Layermentioning

confidence: 99%

Security Threats and Artificial Intelligence Based Countermeasures for Internet of Things Networks: A Comprehensive Survey

et al. 2021

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The Internet of Things (IoT) has emerged as a technology capable of connecting heterogeneous nodes/objects, such as people, devices, infrastructure, and makes our daily lives simpler, safer, and fruitful. Being part of a large network of heterogeneous devices, these nodes are typically resourceconstrained and became the weakest link to the cyber attacker. Classical encryption techniques have been employed to ensure the data security of the IoT network. However, high-level encryption techniques can not be employed in IoT devices due to the limitation of resources. In addition, node security is still a challenge for network engineers. Thus, we need to explore a complete solution for IoT networks that can ensure nodes and data security. The rule-based approaches and shallow and deep machine learning algorithms-branches of Artificial Intelligence (AI)-can be employed as countermeasures along with the existing network security protocols. This paper presented a comprehensive layer-wise survey on IoT security threats, and the AIbased security models to impede security threats. Finally, open challenges and future research directions are addressed for the safeguard of the IoT network.

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Section: A Iot Model A: Perception Layermentioning

confidence: 99%

Security Threats and Artificial Intelligence Based Countermeasures for Internet of Things Networks: A Comprehensive Survey

et al. 2021

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“…In order to execute a DoS attack at the MAC layer, the attacker (who can be a common external user) tries, by means of certain types of messages such as acknowledgement messages, to create collisions that interfere with legitimate communications [138]. Media access protocols such as slot allocation are particularly vulnerable to these attacks [139], the main aim of which is to interrupt any communication, which in turn impacts network availability. Exhaustion attacks are oriented toward the MAC layer too, taking advantage of the limited resources (energy, memory, processing) of the equipment.…”

Section: Mac Layer Attacksmentioning

confidence: 99%

Intelligent Buildings in Smart Grids: A Survey on Security and Privacy Issues Related to Energy Management

et al. 2021

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During the last decade, the smart grid (SG) concept has started to become a reality, mainly thanks to the technical progress achieved in telecommunications, informatics and power electronics, among other domains, leading to an evolution of the traditional electrical grid into an intelligent one. Nowadays, the SG can be seen as a system of smart systems that include cyber and physical parts from different technologies that interact with each other. In this context, intelligent buildings (IBs) constitute a paradigm in which such smart systems are able to guarantee the comfort of residents while ensuring an appropriate tradeoff of energy production and consumption by means of an energy management system (EMS). These interconnected EMSs remain the objective of potential cyber-attacks, which is a major concern. Therefore, this paper conducts a survey, from a multidisciplinary point of view, of some of the main security and privacy issues related to IBs as part of the SG, including an overview of EMS, smart meters, and the main communication networks employed to connect IBs to the overall SG. Future research directions towards a security enhancement from both technical and human perspectives are also provided.

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“…Hummen et al [ 33 ] proposed two complementary and lightweight defense mechanisms to counter fragmentation attack in the adaptation layer of 6LoWPAN. The security capability of IEEE 802.15.4 MAC protocol as well as the limitations thereof in the context of IoT are analyzed in [ 34 ]. A security threat analysis of RPL has been performed in [ 11 ], where potential security issues and fundamental countermeasures are presented.…”

Section: Related Workmentioning

confidence: 99%

Suppression Attack Against Multicast Protocol in Low Power and Lossy Networks: Analysis and Defenses

Zhou

2018

Sensors

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With increasingly prevalent wireless sensors and devices, low power and lossy networks (LLNs) play an essential role in the realization of ubiquitous computing and communication infrastructure, which, in turn, leads to enhanced data accessibility and availability. A multicast protocol for LLNs (MPL), has been standardized to provide both efficient and reliable multicast communication. Due to the shared wireless medium, lack of tamper resistance, and inherent resource constraints, MPL-based LLNs are undoubtedly vulnerable to various Denial-of-Service (DoS) attacks. In this paper, we propose a heuristic-based detection scheme, called HED, against the suppression attack in MPL-based LLNs, where a malicious node multicasts a series of spoof data messages with continuous sequence numbers to prevent normal nodes from accepting valid data messages and cause them to delete cached data messages. In the HED, each node maintains an increment rate of the minimum sequence number in the Seed Set to detect the potential malicious node by comparing the recent increment of sequence numbers with the heuristically calculated increment threshold of sequence numbers. We evaluate the proposed scheme through extensive simulation experiments using OMNeT++ and compare its performance with original MPL with and without adversary, respectively. The simulation results show high detection rate and packet reception rate but low false detection rate, and indicate that the proposed scheme is a potentially viable approach against the suppression attack in MPL-based LLNs.

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Security analysis of IEEE 802.15.4 MAC in the context of Internet of Things (IoT)

Cited by 26 publications

References 10 publications

Security Threats and Artificial Intelligence Based Countermeasures for Internet of Things Networks: A Comprehensive Survey

Security Threats and Artificial Intelligence Based Countermeasures for Internet of Things Networks: A Comprehensive Survey

Intelligent Buildings in Smart Grids: A Survey on Security and Privacy Issues Related to Energy Management

Suppression Attack Against Multicast Protocol in Low Power and Lossy Networks: Analysis and Defenses

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