Detection of sinkhole attacks for supporting secure routing on 6LoWPAN for Internet of Things

Khan

Journal of Computer Networks and Communications

2019

167

Internet of Things (IoT) is realized by the idea of free flow of information amongst various low power embedded devices that use Internet to communicate with one another. It is predicted that the IoT will be widely deployed and it will find applicability in various domains of life. Demands of IoT have lately attracted huge attention and organizations are excited about the business value of the data that will be generated by the IoT paradigm. On the other hand, IoT have various security and privacy concerns for the end users that limit its proliferation. In this paper we have identified, categorized and discussed various security challenges and state of the art efforts to resolve these challenges. Keywords: Security in IoT, Privacy in IoT, DoS in IoT, Secure routing in IoTIn [17] the authors identified and discussed three representative sensing applications. They are personal sensing, designated sensing and community sensing each requiring heterogeneous security and privacy

Section: Existing Solution and Discussionmentioning

confidence: 99%

Understanding Security Requirements and Challenges in Internet of Things (IoT): A Review

Khan

Journal of Computer Networks and Communications

2019

167

“…Mayzaud et al [64] authors proposed a distributed system architecture for detecting the version number attacks in RPL-based networks and identifies malicious nodes. Furthermore, a number of intrusion detection system architectures have been developed in [70], [71] for the resourceconstrained 6LoWPAN devices based systems focusing on the sinkhole and selective-forwarding attacks (well-known attacks within 6LoWPAN networks).…”

Section: Additional Intrusion Detection Efforts Within Iotmentioning

confidence: 99%

A Review of Performance, Energy and Privacy of Intrusion Detection Systems for IoT

et al. 2020

Internet of Things (IoT) is a disruptive technology with applications across diverse domains such as transportation and logistics systems, smart grids, smart homes, connected vehicles, and smart cities. Alongside the growth of these infrastructures, the volume and variety of attacks on these infrastructures has increased highlighting the significance of distinct protection mechanisms. Intrusion detection is one of the distinguished protection mechanisms with notable recent efforts made to establish effective intrusion detection for IoT and IoV. However, unique characteristics of such infrastructures including battery power, bandwidth and processors overheads, and the network dynamics can influence the operation of an intrusion detection system. This paper presents a comprehensive study of existing intrusion detection systems for IoT systems including emerging systems such as Internet of Vehicles (IoV). The paper analyzes existing systems in three aspects: computational overhead, energy consumption and privacy implications. Based on a rigorous analysis of the existing intrusion detection approaches, the paper also identifies open challenges for an effective and collaborative design of intrusion detection system for resource-constrained IoT system in general and its applications such as IoV. These efforts are envisaged to highlight state of the art with respect to intrusion detection for IoT and open challenges requiring specific efforts to achieve efficient intrusion detection within these systems.

Lecture Notes in Computer Science

“…Another IDS proposed in 2015 was INTI [14] which targets sinkhole attacks. INTI consists of four modules.…”

Section: Intrusion Detection Systems Proposed For Internet Of Thingsmentioning

confidence: 99%

Security of Internet of Things for a Reliable Internet of Services

Arış

Oktuğ

Voigt

2018

Abstract. The Internet of Things (IoT) consists of resource-constrained devices (e.g., sensors and actuators) which form low power and lossy networks to connect to the Internet. With billions of devices deployed in various environments, IoT is one of the main building blocks of future Internet of Services (IoS). Limited power, processing, storage and radio dictate extremely efficient usage of these resources to achieve high reliability and availability in IoS. Denial of Service (DoS) and Distributed DoS (DDoS) attacks aim to misuse the resources and cause interruptions, delays, losses and degrade the offered services in IoT. DoS attacks are clearly threats for availability and reliability of IoT, and thus of IoS. For highly reliable and available IoS, such attacks have to be prevented, detected or mitigated autonomously. In this study, we propose a comprehensive investigation of Internet of Things security for reliable Internet of Services. We review the characteristics of IoT environments, cryptography-based security mechanisms and D/DoS attacks targeting IoT networks. In addition to these, we extensively analyze the intrusion detection and mitigation mechanisms proposed for IoT and evaluate them from various points of view. Lastly, we consider and discuss the open issues yet to be researched for more reliable and available IoT and IoS.