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In all developed wireless communication systems and standards such as 2G, 3G, 4G, 5G, 6G, WiFi 6,7,8, WiMax, WiGig, etc., the main objectives of the physical layer transmission techniques and schemes have mainly been focused on achieving two key design requirements: 1) increasing data rates (higher spectral efficiency), and 2) enhancing reliability (lower error rates). These two key design requirements have been the primary driving factors for research and development in wireless communications up until recently. In fact, these requirements related to spectral efficiency and reliability are usually attained and met by using novel physical layer transmission techniques; while leaving security as an out of scope requirement that is left to be handled by upper layers. This conventional design paradigm has resulted in two phenomena: 1) what is called add-on security (i.e., security is an additional overhead added to different OSI layers) and 2) making security requirement a computer engineering issue rather than being a joint computer-communication issue as it must be. Consequently, the security services such as confidentiality and authentication have conventionally been achieved so far at the upper layers (such as application, transport, network, and MAC layers). For instance, to ensure the authenticity of a receiver, existing wireless systems typically employ multiple authentication approaches simultaneously at different layers, including MAC-layer authentication, network layer authentication, transport-layer authentication, and application layer authentication. A similar example applies to confidentiality, i.e., data protection from eavesdropping, where multiple confidentiality approaches are usually employed at different layers simultaneously to prevent data leakage to eavesdroppers. Particularly, at the Application/Presentation Layer, we have Secure SHell (SSH) where the encryption is in support of S-FTP, S-HTTP, PGP, S/MIME. At the Transport Layer, we have Secure Socket Layer (SSL) and Transport Layer Security (TLS). At the Network layer, we have IPSec Transport ESP and IPSec Tunnel ESP, which can be supported by the following encryption algorithms RC5, DES, AES, etc. At the Data Link Layer, we have Wire Equivalent Privacy (WEP), Temporal Key Integrity Protocol (TKIP), Counter-Mode MAC Protocol (CCMP). Obviously, this multi-layer security approach is costly and inefficient as it creates significant network bottlenecks, latency, signaling overhead, and increases computation complexity, especially for future wireless systems (i.e., beyond 5G) that are expected to provide highly secure, delay-sensitive, and low complexity applications and services (i.e., IoT-based services including URLLC and mMTC). To address these challenges, we propose to make security an inherent feature (not add-on) of the physical layer (not upper layers) transmission mechanism. This approach will motivate designing novel techniques that consider achieving the Quality of Service (QoS) requirements of different services at the lower physical layer in terms of not only reliability, capacity and latency, but also security. Therefore, security, in this case, will be applied to the signals carrying the data bits, rather than being applied to the data bits themselves as is the case in upper layers cryptography approaches. This would free the upper layers from any add-on security mechanism and make security not only an inherent feature of the transmission techniques at the physical layer but also complexity-independent where no matter what computational processing power the eavesdropper may have, the transmission techniques can still be secure. In addition, we have the following challenges that PLS can help to address and solve:
- The key distribution and management processes for the legitimate parties in conventional encryption-based systems are extremely difficult and complex, especially in large-scale, dense, and heterogeneous wireless networks as is the case in future beyond 5G systems, where a massive number of smart devices are simultaneously connected to the network. This causes excessive complexity, high signaling overhead, and costly computational processes. Also, the management and control frames exchanged between communication entities are usually not very well protected.
- Longer key length, which is usually preferable in cryptography approaches to increase the security strength, results in more waste of resources, apart from the fact that implementing security methods with Shannon’s perfect secrecy is extremely hard to be practically achieved with today’s huge data volume. For instance, to perfectly secure a message of 10 Gbyte in practice, we need to share and use a key of the same size and use it only once. When we transmit another message, we must generate another key and so on, which is costly and inefficient.
- The fast developments and advances in computing power devices reveal the fact that current secret key-based techniques can be cracked, no matter how much mathematically complex they are, especially when quantum computing becomes a reality. This would make all currently used encryption-based algorithms at risk and consequently all the applications that depend using these algorithms for security.
- Cryptography-based security add extra delay and excessive computational power and complexity, making it inefficient and unsuitable to the IoT-based Tactile communication applications such as autonomous driving, remote surgery operation, controlling unmanned aerial vehicles (UAVs), etc. These future applications require the utmost secure communication with minimal latency. Particularly, given the extremely wide range of IoT-based wireless applications including industrial, medical, commercial, governmental, and military applications, designing practical security techniques is becoming an indispensable need for future xG systems.
- In addition, future mobile base stations (BS), as well as mobile devices and handsets (especially IoT devices), are expected to be noticeably different from the existing ones in terms of requirements, hardware capabilities, and channel nature. Thus, their security requirements and designs are also going to be significantly different.
All these issues together motivate the development and design of new practical security techniques at the lower physical (PHY) and MAC layers to protect and safeguard the wireless transmissions from future low-complexity devices such as IoT to BS (uplink) and from BS to IoT devices (downlink).
Some of our published research articles in the domain of Cybersecurity:
J. M. Hamamreh, H. M. Furqan, and H. Arslan, “Classifications and Applications of Physical Layer Security Techniques for Confidentiality: A Comprehensive Survey,” in IEEE Communications Surveys and Tutorials, vol. 21, no. 2, pp. 1773-1828, Second quarter 2019. https://ieeexplore.ieee.org/document/8509094 (56 PAGES) (Journal Impact Factor = 50.6)
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J. M. Hamamreh and H. Arslan, “Joint PHY/MAC layer security design using ARQ with MRC and null-space independent, PAPR-aware artificial noise in SISO systems,” IEEE Transactions on Wireless Communications, vol. 17, no. 9, pp. 6190-6204, Sept. 2018. https://ieeexplore.ieee.org/document/8415757/ (Journal Impact Factor = 10.3)
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N. Ishikawa, J. M. Hamamreh, E. Okamoto, C. Xu and L. Xiao, "Artificially Time-Varying Differential MIMO for Achieving Practical Physical Layer Security," in IEEE Open Journal of the Communications Society, doi: https://doi.org/10.1109/OJCOMS.2021.3112486 (Journal Impact Factor = 6.2)
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J. M. Hamamreh and H. M. Furqan, "A New Scheme for Improving Channel-Based Secret Key Generation Rates," in IEEE Wireless Communications Letters, 2024, doi: 10.1109/LWC.2024.3455568. https://ieeexplore.ieee.org/abstract/document/10668838 (Journal Impact Factor = 5.1)
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J. M. Hamamreh and H. Arslan, “Secure orthogonal transform division multiplexing (OTDM) waveform for 5G and beyond,” IEEE Communication Letter, vol. 22, no. 5, pp. 1191-1194, Jan. 2017. http://ieeexplore.ieee.org/document/7814269/ (Journal Impact Factor = 4.5)
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H. M. Furqan, J. M. Hamamreh, H. Arslan, “New Physical Layer Key Generation Dimensions: Subcarrier Indices/Positions-Based Key Generation,” in IEEE Communications Letters, 2020. https://ieeexplore.ieee.org/document/9201305 (Journal Impact Factor = 4.5)
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J. M. Hamamreh, Z. E. Ankarali, and H. Arslan, “CP-Less OFDM with Alignment Signals for Enhancing Spectral Efficiency, Reducing Latency, and Improving PHY Security of 5G and Beyond Services,” in IEEE Access, vol. 6, pp. 63649-63663, 2018. https://ieeexplore.ieee.org/document/8501913 (Journal Impact Factor = 4.2)
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J. M. Hamamreh, E. Basar, and H. Arslan, “OFDM-subcarrier index selection for enhancing security and reliability of 5G URLLC services,” IEEE Access, vol. 5, pp. 25 863–25 875, 2017. http://ieeexplore.ieee.org/document/8093591/ (Journal Impact Factor = 4.2)
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Kırık, M, Hamamreh, JM. A novel interference signal superposition algorithm for providing secrecy to subcarrier number modulation-based orthogonal frequency division multiplexing systems. Trans Emerging Tel Tech. 2022; e4678. doi:10.1002/ett.4678 (Journal Impact Factor = 2.6)
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E. Guvenkaya, J. M. Hamamreh, and H. Arslan, “On physical-layer concepts and metrics in secure signal transmission,” Physical Communication by Elsevier, vol. 25, pp. 14 – 25, Aug. 2017. http://www.sciencedirect.com/science/article/pii/S1874490717300903 (Journal Impact Factor = 2.5)
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H. M. Furqan, J. M. Hamamreh, and H. Arslan, “Adaptive OFDM-IM for Enhancing Physical Layer Security and Spectral Efficiency of Future Wireless Networks,” Wireless Communications and Mobile Computing by Hindawi and Wiley, vol. 2018, Article ID 3178303, 16 pages, 2018. https://doi.org/10.1155/2018/3178303 (Journal Impact Factor = 2.1)