Fundamentals of information theory

Bloch, Matthieu R.; Barros, João Paulo

doi:10.1017/cbo9780511977985.004

Cited by 14 publications

(23 citation statements)

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“…26 for MIMO Gaussian channels. The compound MIMO wiretap channel above with uncertainty sets [4] and [5] is not degraded and is one of the few examples for which the secrecy capacity has been established for the nondegraded case:…”

Section: [5]mentioning

confidence: 99%

“…For the reasons noted above, wireless physical layer security has become a major research topic in recent years, and considerable progress has been made in understanding the fundamental ability of the physical layer to support secure communications and in determining the consequent limits of this ability (3,4). In particular, it has been shown that the two principal properties of radio transmission-namely, diffusion and superpositioncan be exploited to provide data confidentiality through several mechanisms that degrade the ability of potential eavesdroppers to gain information about confidential messages.…”

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confidence: 99%

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Wireless physical layer security

Poor

Schaefer

2016

Proc. Natl. Acad. Sci. U.S.A.

267

133

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Security in wireless networks has traditionally been considered to be an issue to be addressed separately from the physical radio transmission aspects of wireless systems. However, with the emergence of new networking architectures that are not amenable to traditional methods of secure communication such as data encryption, there has been an increase in interest in the potential of the physical properties of the radio channel itself to provide communications security. Information theory provides a natural framework for the study of this issue, and there has been considerable recent research devoted to using this framework to develop a greater understanding of the fundamental ability of the so-called physical layer to provide security in wireless networks. Moreover, this approach is also suggestive in many cases of coding techniques that can approach fundamental limits in practice and of techniques for other security tasks such as authentication. This paper provides an overview of these developments.information theory | wireless networks | security W ireless communication is one of the most ubiquitous of modern technologies. Cellular communication alone is accessible to an estimated 5 billion people, and this is but one of an array of wireless technologies that have emerged in recent decades. Wireless networks are increasingly used for a very wide range of applications, including banking and other financial transactions, social networking, and environmental monitoring, among many others. For this reason, the security of wireless networks is of critical societal interest. Security has traditionally been implemented at the higher, logical layers of communication networks, rather than at the level of the physical transmission medium. For data confidentiality, encryption is the primary method of ensuring secrecy, a method that works well in most current situations. However, in some emerging networking architectures, issues of key management or computational complexity make the use of data encryption difficult. Examples include ad hoc networks, in which messages may pass through many intermediate terminals on the way from source to destination, and sensor or radio-frequency identification (RFID) networks such as might arise in the envisioned Internet of Things, in which the end devices are of very low complexity. For these and other reasons, there has been considerable recent interest in developing methods for secure data transmission that are based on the physical properties of the radio channel (the so-called wireless physical layer). These results are based on information theoretic characterizations of secrecy, which date to some of Claude Shannon's early work on the mathematical theory of communication (1). Whereas Shannon's work focused on symmetric key encryption systems, perhaps a more relevant development in this area was Aaron Wyner's work on the wiretap channel, which introduced the idea that secrecy can be imparted by the communication channel itself without resorting to the use of shared secret keys (2). A...

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Section: [5]mentioning

confidence: 99%

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confidence: 99%

Wireless physical layer security

Poor

Schaefer

2016

Proc. Natl. Acad. Sci. U.S.A.

267

133

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“…The secrecy capacity of the Gaussian wiretap channel in the presence of eavesdroppers distributed according to a certain point process can be expressed as the difference between the capacity of the legitimate and the eavesdropper channel [44], [45]. Mathematically, the secrecy capacity C s is given by…”

Section: Probability Of Non-zero Secrecy Capacity Characterisationmentioning

confidence: 99%

On the Uplink Secrecy Capacity Analysis in D2D-Enabled Cellular Network

Tolossa

Vuppala

Kaddoum

et al. 2018

IEEE Systems Journal

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Abstract-Recent research prove that device-to-device (D2D) communications offer substantial gain through enhancing throughput and spectral efficiency as well as widening coverage area of cellular network. However, from security perspective, performance of such network has not been well investigated. With this motive and inspired by stochastic geometry approach, we provide secrecy rate analysis for D2D-enabled cellular network under Rayleigh fading channels. The minimum distance among mobile users is used to characterise the retention probability and hence, density of D2D nodes. Moreover, a fraction of the total transmitted power from D2D nodes is allocated to radiate artificial noise (AN) to degrade the eavesdroppers channel. Under such conditions, the closed-form expressions for the probability of achieving non-zero secrecy capacity for the uplink channel between user-equipment and cellular base-station in the presence of D2D nodes and eavesdropper(s). Throughout the paper, we consider the following eavesdropping strategies: (a) a single eavesdropper case; (b) multiple eavesdroppers that can cooperatively cancel the interference; (c) multiple cooperative eavesdroppers that can cooperatively cancel both the interference and AN; and (d) the case of cooperative colluding eavesdroppers. The derived expressions are validated via simulation as a function of antenna gain, eavesdropper density, D2D hard-core distance and D2D node density.

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“…Recently, the research on information-theoretic security has promised new opportunities to achieve high security with low processing costs -without requiring expensive cryptographic algorithms. For instance, secrecy coding [4] and intentional jamming [5] solutions have been proposed for controlling signal-to-noise ratio towards potential eavesdroppers without interfering legitimate transmissions. Further, radio access technologies, such as frequency hopping and interleaving, can be secured by keeping hopping sequences and scrambling keys confidential [6].…”

Section: Security In Wireless Communicationmentioning

confidence: 99%