IEEE Access Special Section Editorial: The Internet of Energy: Architectures, Cyber Security, and Applications—Part II

Wang, Kun; Zhang, Yan; Guo, Song; Dong, Mianxiong; Hu, Rose Qingyang; Lei, He

doi:10.1109/access.2018.2885242

“…As we rely more on independently generated data, remote and unreliable storage, 8 higher Internet connectivity, brokerage of smart contracts, 9 transfer of data over public networks, and dynamic grid membership of unidentified devices, 10 it becomes critical for the grid to trust the data, devices, and IoE 11 . The security challenges within IoE stems from the following: Integrating heterogeneous sensors and devices with legacy grid systems. Real‐time monitoring and data collection. Trust of nodes, data, and communication medium. Accuracy of decisions based on data analytics 12 …”

Section: Introductionmentioning

confidence: 99%

“…8 As we rely more on independently generated data, remote and unreliable storage, 8 higher Internet connectivity, brokerage of smart contracts, 9 transfer of data over public networks, and dynamic grid membership of unidentified devices, 10 it becomes critical for the grid to trust the data, devices, and IoE. 11 The security challenges within IoE stems from the following:…”

Section: Introductionmentioning

confidence: 99%

n‐Grams exclusion and inclusion filter for intrusion detection in Internet of Energy big data systems

Aldwairi

¹

,

Alansari

²

2019

Trans Emerging Tel Tech

View full text Add to dashboard Cite

The advent of Internet of Energy (IoE) and the seamless integration of grid operators, power generators, distributors, sensors, and end users promise more efficient use of energy. However, the IoE will inherit the vulnerabilities from all of the integrated systems, and this raises concerns for trust and privacy. The evolving complexity and increased speed of network‐based attacks emphasizes the need for an efficient intrusion detection system. Consequently, with the emergence of new attacks and the increasing number of signatures, traditional signature‐based intrusion detection systems cannot both sift through big data and meet high network speeds. Detection performance severely deteriorates when matching hundreds of gigabits per second to the growing number of attack signatures. Given that pattern matching takes up to 60% of the overall intrusion detection time, this paper presents a new and fast software‐based pattern matching system, Exscind. It proposes an exclusion‐inclusion filter to preclude clean traffic before having to do expensive pattern matching. Additionally, if the traffic is malicious, the system only matches against a subset of signatures that have a high probability of being a match. We extensively evaluate the system's performance and conclude that using 6‐grams signature prefix provides the best speedup and memory consumption with negligible false positives and linear scaling. We report a best‐case speedup of 6.5 times for normal traffic and 1.53 times for the worst possible scenario. For best‐case normal traffic, Exscind skips pattern matching for 98.36% of the packets.

show abstract

A Compressive Compilation of Cyber Security for Internet of Energy (IoE)

Figueroa

¹

,

Rojas-Gonzalez

²

,

Hernández-Aguilar

³

2022

Research Anthology on Smart Grid and Microgrid Development

2

0

View full text Add to dashboard Cite

Internet of energy (IoE) is the natural evolution of Smart Grid incorporating the paradigm of internet of things (IoT). This complicated environment has a lot of threats and vulnerabilities, so the security challenges are very complex and specialized. This chapter contains a compilation of the main threats, vulnerabilities, and attacks that can occur in the IoE environment and the critical structure of the electrical grid. The objective is to show the best cybersecurity practices that can support maintaining a safe, reliable, and available electrical network complying with the requirements of availability, integrity, and confidentially of the information. The study includes review of countermeasures, standards, and specialized intrusion detection systems, as mechanisms to solve security problems in IoE. Better understanding of security challenges and solutions in the IoE can be the light on future research work for IoE security.

show abstract

A Compressive Compilation of Cyber Security for Internet of Energy (IoE)

Figueroa

¹

,

Rojas-Gonzalez

²

,

Hernández-Aguilar

³

2020

Cyber Security of Industrial Control Systems in the Future Internet Environment

0

View full text Add to dashboard Cite

Internet of energy (IoE) is the natural evolution of Smart Grid incorporating the paradigm of internet of things (IoT). This complicated environment has a lot of threats and vulnerabilities, so the security challenges are very complex and specialized. This chapter contains a compilation of the main threats, vulnerabilities, and attacks that can occur in the IoE environment and the critical structure of the electrical grid. The objective is to show the best cybersecurity practices that can support maintaining a safe, reliable, and available electrical network complying with the requirements of availability, integrity, and confidentially of the information. The study includes review of countermeasures, standards, and specialized intrusion detection systems, as mechanisms to solve security problems in IoE. Better understanding of security challenges and solutions in the IoE can be the light on future research work for IoE security.

show abstract

IEEE Access Special Section Editorial: The Internet of Energy: Architectures, Cyber Security, and Applications—Part II

Cited by 3 publications

References 0 publications

n‐Grams exclusion and inclusion filter for intrusion detection in Internet of Energy big data systems

n‐Grams exclusion and inclusion filter for intrusion detection in Internet of Energy big data systems

A Compressive Compilation of Cyber Security for Internet of Energy (IoE)

A Compressive Compilation of Cyber Security for Internet of Energy (IoE)

Contact Info

Product

Resources

About