A Study of Network Security Situational Awareness in Internet of Things

Li, Jingyi; Yi, Xiaoyin; Shi, Wei

doi:10.1109/iwcmc48107.2020.9148549

Cited by 8 publications

(4 citation statements)

References 8 publications

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“…Abdulqadder et al [86] proposed an attack-aware security provisioning approach for DDoS attack mitigation in the context of the SDN/NFV combination with a 5G network. The proposed approach has the following features: (1) an access point (AP), (2) trusted authority (TA), (3) an open virtual switch (OVS), (4) an SDN controller, (5) a user, and (6) virtual network functions (VNF). The proposed approach uses a genetic algorithm to perform the best feature selection for the classifications.…”

Section: Ddos Defense Systems Based On ML Techniques In Nfv Enviromentioning

confidence: 99%

“…The attackers use these zombies as an army, remotely instructing them to simultaneously attack the victim, thereby rendering the service unavailable to valid users. A related new concept, namely DDoS as a service (DDoSaaS) [3], reduces the technical challenges associated with implementing an attack through the use of booters or stressers. A DDoSaaS attack utilizes a number of powerful servers to transmit a massive amount of attack traffic to a specific target [4].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Machine Learning Approaches for Combating Distributed Denial of Service Attacks in Modern Networking Environments

Aljuhani

2021

IEEE Access

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Section: Ddos Defense Systems Based On ML Techniques In Nfv Enviromentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Machine Learning Approaches for Combating Distributed Denial of Service Attacks in Modern Networking Environments

Aljuhani

2021

IEEE Access

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“…In the case of IoT, J. Li et al [27] believed that it is necessary to construct IoT security situational awareness system and enable security defense from the terminal, network, server, or cloud. And L. Hu et al [28] pointed out that there are essential differences between traditional cyberspace and industrial IoT, and there are lots of research results on cyberspace security [29]- [31], while the framework on IoT security and protection is still on the way.…”

Section: Introductionmentioning

confidence: 99%

New Security State Awareness Model for IoT Devices With Edge Intelligence

Lei¹,

Wen²,

Hou³

et al. 2021

IEEE Access

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Edge computing has become one of the most critical technologies in the Internet of Things (IoT), which is vulnerable to be hacked itself due to its closing to the terminals' wide variety of applications and digital assets. Aiming to find a new paradigm for cybersecurity based on edge computing at the device level, we leverage the storage, communication, and computational capabilities of edge computing devices to acquire and transform the massive amounts of data generated during work into the states. Through the analysis of the states, the security threats of the edge computing device can be identified. Based on the complex network theory, a security state awareness model is established, which can accurately indicate a device's current security state, be aware of the attack behavior, and perform protection methods.

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“…By learning past behavioral patterns, future states of the network can be predicted such as bandwidth utilization patterns to detect anomalies. These functional requirements for situational awareness are critical for identifying incidents and threats, investigating anomalies and making decisions [1][2][3][4]. A flexible platform that can provide a framework for researchers to read and manipulate flow data and augment them with contextual information such as geolocation and known threat labels can improve and streamline analytics development.…”

Section: Introductionmentioning

confidence: 99%

InSight2: A Modular Visual Analysis Platform for Network Situational Awareness in Large-Scale Networks

2020

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The complexity and throughput of computer networks are rapidly increasing as a result of the proliferation of interconnected devices, data-driven applications, and remote working. Providing situational awareness for computer networks requires monitoring and analysis of network data to understand normal activity and identify abnormal activity. A scalable platform to process and visualize data in real time for large-scale networks enables security analysts and researchers to not only monitor and study network flow data but also experiment and develop novel analytics. In this paper, we introduce InSight2, an open-source platform for manipulating both streaming and archived network flow data in real time that aims to address the issues of existing solutions such as scalability, extendability, and flexibility. Case-studies are provided that demonstrate applications in monitoring network activity, identifying network attacks and compromised hosts and anomaly detection.

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A Study of Network Security Situational Awareness in Internet of Things

Cited by 8 publications

References 8 publications

Machine Learning Approaches for Combating Distributed Denial of Service Attacks in Modern Networking Environments

Machine Learning Approaches for Combating Distributed Denial of Service Attacks in Modern Networking Environments

New Security State Awareness Model for IoT Devices With Edge Intelligence

InSight2: A Modular Visual Analysis Platform for Network Situational Awareness in Large-Scale Networks

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