Physical layer security in wireless networks: a tutorial

By Yi-Sheng Shiu, S. Chang, Hsiao-Chun Wu, S. Huang, Hsiao-Hwa Chen. IEEE wireless communications, 2011

873 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/661c0a963c30442c24fa22359a791900f9615b4d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Jiajia Liu
2. Nei Kato
3. Fengxiao Tang
4. Yuichi Kawamoto
5. Xianbin Wang
6. Robert Schober
7. Huseyin Arslan
8. Mohamed-Slim Alouini

In Computer Vision and Pattern Recognition

1. Robert Schober
2. Huseyin Arslan
3. Haji. M. Furqan
4. Nei Kato
5. Mika E. Ylianttila
6. Lajos Hanzo
7. Derrick Wing Kwan Ng
8. Fengxiao Tang

In Electrical and Electronic Engineering

1. Robert Schober
2. Derrick Wing Kwan Ng
3. Mohamed-Slim Alouini
4. Rui Zhang
5. Lajos Hanzo
6. Huseyin Arslan
7. Dongfang Xu
8. Shahriar Shahabuddin

Citations in the corpus

• Security for 5G and Beyond (2019, background): “Hence, the use of physical layer security schemes makes it very difficult for attackers to decipher or access information under transmission [132].”
• A Survey on Wireless Security: Technical Challenges, Recent Advances, and Future Trends (2015, background): “Generally speaking, secure wireless communications should satisfy the requirements of authenticity, confidentiality, integrity, and availability [46], as detailed in the following.”
• Enabling Secure Wireless Communications via Intelligent Reflecting Surfaces (2019, background): “Physical layer security has received considerable attention from both academia and industry in recent years [1].”
• Classifications and Applications of Physical Layer Security Techniques for Confidentiality: A Comprehensive Survey (2019, background): “specific tutorials [3], [13]–[24]; and noticed that most of these surveys review the previously published studies on PLS based on communication scenarios, channel types and”
• Physical-Layer Security of 5G Wireless Networks for IoT: Challenges and Opportunities (2019, background): “tracking the communication patterns to facilitate other forms of attacks [26].”
• Physical Layer Security for Next Generation Wireless Networks: Theories, Technologies, and Challenges (2017, background): “Reference [157] listed most commonly used attacks and security requirements, and then introduced five major research topics, covering secrecy capacity, channel precoding, coding, power, and signal detection approaches.”
• What should 6G be? (2019, background): “PHY security technologies and quantum key distribution via visible light communications (VLC) would be the solutions to the data security challenge in 6G [58]–[60].”
• Future Intelligent and Secure Vehicular Network Toward 6G: Machine-Learning Approaches (2020, background): “However, the malicious attacks include the sybil attack, the denial-of-service (DoS) attack, the blackhole attack, the wormhole attack, the bogus information attack, and the replay attack that can forge identity, transmit spam messages, and hijack normal nodes to break through the PKI and ECDSA secu”
• Robust and Secure Wireless Communications via Intelligent Reflecting Surfaces (2019, methodology): “ireless medium, namely broadcast and superposition, make wireless transmissions inherently vulnerable to security breaches, which has been a pivotal issue in modern wireless communication systems [2]–[4]. Besides conventional cryptographic encryption methods employed in the application layer, advanc”