Non-cryptographic authentication and identification in wireless networks [Security and Privacy in Emerging Wireless Networks

Zeng, Kai; Govindan, Kannan; Mohapatra, Prasant

doi:10.1109/mwc.2010.5601959

Cited by 245 publications

(128 citation statements)

References 9 publications

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“…In [2], an overview of cross-layer authentication by using lower/physical layer characteristics is provided. Some of the existing cross-layer schemes are implemented through quantization of physicallayer characteristics for upper-layer verification [8].…”

Section: B Integration With the Existing Network Infrastructure And mentioning

confidence: 99%

“…In contrast to the existing upper-layer security schemes, wireless transmitters can also be validated at the physicallayer by verifying the dynamic characteristics of the associated physical communication links and devices [2]- [6], i.e. through physical-layer authentication.…”

Section: Introductionmentioning

confidence: 99%

“…through physical-layer authentication. The reciprocal channel properties and some of the analog front-end (AFE) imperfections of wireless transceivers constitute primarily two categories of physical-layer attributes for device authentication [2]. Compared to digital key based authentication, the specific physicallayer attributes are directly related to the communicating devices and the corresponding environment, which are extremely difficult to impersonate.…”

Section: Introductionmentioning

confidence: 99%

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Physical-layer authentication for wireless security enhancement: current challenges and future developments

2016

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Abstract-While the open nature of radio propagation enables convenient "anywhere" wireless access, it becomes the root of security vulnerabilities of wireless communications. In light of this, physical-layer authentication, which is based on exploitation of dynamics of physical layer attributes, is emerging as an effective approach in enhancing wireless security. In this paper, we first review the existing physical-layer authentication techniques and identify their current limitations, ranging from the low authentication reliability to the difficulties of integrating these techniques with the existing wireless infrastructure and applying them in complex future networks. We then present three promising research areas in addressing these challenges. Specifically, we propose to use multi-attributes multi-observation (MAMO) technique for enhancing the authentication reliability. In order to apply point-to-point physical layer authentication techniques into existing wireless networks, we propose a crosslayer authentication approach relying on a composite security key (CSK) that can seamlessly integrate physical-layer and upperlayer authentication schemes. We also discuss the possible ways of invoking physical layer authentication for reducing both the complexity and latency of the security processes in complex heterogeneous networks with the aid of the proposed physical security context sharing (PSCS).

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Section: B Integration With the Existing Network Infrastructure And mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Physical-layer authentication for wireless security enhancement: current challenges and future developments

2016

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“…In the various authentication schemes considered in [9], the processing power needed and storage memory are a bit large. But, as authentication is very important and considering the above scenario, the problem with the existing scheme, Fig.3 draws us into two conditions where 1)The attacker is a dumb user and hence sender get responses from both the attacker and the valid user or 2)The attacker is an expert who jam either the request sent to or the response from the valid user and sometimes interrupt both.…”

Section: A-smock: Authenticated Smockmentioning

confidence: 99%

ASMOCK: Authenticated SMOCK for Wireless Sensor Networks

Thomas¹,

Dhinakaran²,

Angelin³

2011

IJCA

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The most major requirements of wireless networks in the current network context are security, scalability and memory efficiency. Most of the earlier implementations use cryptographic key exchanges alone for imposing security but mostly proved to be less secure with the presence of many attacks like IP-spoofing and masquerading. This is because, the security is present only during communication i.e., only message integrity is ensured and not the user authenticity. Hence we are trying to include an authentication scheme along with the already existing integrity scheme to provide maximum security all through the lifetime of networks. In this paper, we consider different options for providing authentication, analyze them and find which method can be used for producing better results General TermsWireless Sensor Networks, Security,

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“…These unique features arise from randomness in the manufacturing process such as the presence of analog components in the transmission chain, different hardware and software implementation of the same protocol, transmitter clock stability, etc. For example, in [14,15], methods that use amplitude and phase information of the transmitter turn-on transient are proposed, in [16], authors propose a method for RF fingerprinting using clock skew and, in [17], it is possible to find a general comparison of different RF fingerprinting methods.…”

Section: Introductionmentioning

confidence: 99%

Air Traffic Security: Aircraft Classification Using ADS-B Message’s Phase-Pattern

2017

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Automatic Dependent Surveillance-Broadcast (ADS-B) is a surveillance system used in Air Traffic Control. With this system, the aircraft transmits their own information (identity, position, velocity, etc.) to any equipped listener for surveillance scope. The ADS-B is based on a very simple protocol and does not provide any kind of authentication and encryption, making it vulnerable to many types of cyber-attacks. In the paper, the use of the airplane/transmitter carrier phase is proposed as a feature to perform a classification of the aircraft and, therefore, distinguish legitimate messages from fake ones. The feature extraction process is described and a classification method is selected. Finally, a complete intruder detection algorithm is proposed and evaluated with real data.

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Non-cryptographic authentication and identification in wireless networks [Security and Privacy in Emerging Wireless Networks

Cited by 245 publications

References 9 publications

Physical-layer authentication for wireless security enhancement: current challenges and future developments

Physical-layer authentication for wireless security enhancement: current challenges and future developments

ASMOCK: Authenticated SMOCK for Wireless Sensor Networks

Air Traffic Security: Aircraft Classification Using ADS-B Message’s Phase-Pattern

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