Source—destination obfuscation in wireless <i>ad hoc</i>networks

Hayajneh, Thaier; Doomun, Razvi; Krishnamurthy, P.; Tipper, David

doi:10.1002/sec.220

Cited by 14 publications

(3 citation statements)

References 20 publications

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“…It is also worth mentioning that wireless networks are also vulnerable to attacks that cannot be prevented using cryptographic protocols, such as: packet dropping [25,26], jamming [27], wormholes [28,29] and localization [30,31].…”

Section: E Hacking Wpa Protected Wifimentioning

confidence: 99%

Penetration testing: Concepts, attack methods, and defense strategies

Denis

Zena

Hayajneh

2016

2016 IEEE Long Island Systems, Applications and Technology Conference (LISAT)

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113

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Penetration testing helps to secure networks, and highlights the security issues. In this paper investigate different aspects of penetration testing including tools, attack methodologies, and defense strategies. More specifically, we performed different penetration tests using a private networks, devices, and virtualized systems and tools. We predominately used tools within the Kali Linux suite. The attacks we performed included: smartphone penetration testing, hacking phones Bluetooth, traffic sniffing, hacking WPA Protected Wifi, Man-inthe-Middle attack, spying (accessing a PC microphone), hacking phones Bluetooth, and hacking remote PC via IP and open ports using advanced port scanner. The results are then summarized and discussed. The paper also outlined the detailed steps and methods while conducting these attacks.

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Section: E Hacking Wpa Protected Wifimentioning

confidence: 99%

Penetration testing: Concepts, attack methods, and defense strategies

Denis

Zena

Hayajneh

2016

2016 IEEE Long Island Systems, Applications and Technology Conference (LISAT)

Self Cite

113

View full text Add to dashboard Cite

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“…The work in [ 44 ] presented an efficient and adaptive mutual authentication framework for real heterogeneous WSN-based applications. It is also worth mentioning that MSNs are also vulnerable to attacks that cannot be prevented using cryptographic protocols, such as: jamming [ 45 ], packet dropping [ 46 , 47 ], wormholes [ 48 , 49 ] and localization [ 50 , 51 ].…”

Section: Related Workmentioning

confidence: 99%

Secure Authentication for Remote Patient Monitoring with Wireless Medical Sensor Networks

Hayajneh

Mohd

Imran

et al. 2016

Sensors

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There is broad consensus that remote health monitoring will benefit all stakeholders in the healthcare system and that it has the potential to save billions of dollars. Among the major concerns that are preventing the patients from widely adopting this technology are data privacy and security. Wireless Medical Sensor Networks (MSNs) are the building blocks for remote health monitoring systems. This paper helps to identify the most challenging security issues in the existing authentication protocols for remote patient monitoring and presents a lightweight public-key-based authentication protocol for MSNs. In MSNs, the nodes are classified into sensors that report measurements about the human body and actuators that receive commands from the medical staff and perform actions. Authenticating these commands is a critical security issue, as any alteration may lead to serious consequences. The proposed protocol is based on the Rabin authentication algorithm, which is modified in this paper to improve its signature signing process, making it suitable for delay-sensitive MSN applications. To prove the efficiency of the Rabin algorithm, we implemented the algorithm with different hardware settings using Tmote Sky motes and also programmed the algorithm on an FPGA to evaluate its design and performance. Furthermore, the proposed protocol is implemented and tested using the MIRACL (Multiprecision Integer and Rational Arithmetic C/C++) library. The results show that secure, direct, instant and authenticated commands can be delivered from the medical staff to the MSN nodes.

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“…Similar to the model considered in other papers [8]- [10], the adversary is assumed to be capable of conducting global eavesdroppers and the behavior of adversary is external, passive. Global eavesdropper means the adversary has a global view of the whole network topology and can simultaneously monitor all communication patterns of all participants.…”

Section: B Adversary Modelmentioning

confidence: 99%

A Secure Data Transmission Scheme for Body Sensor Network

Xu¹,

Liu²,

Xiao³

et al. 2013

JCM

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Personal privacy has been realized as the most important security issue in wireless sensor networks. While there are much researches on privacy information protection, most of them shared the same condition that the sensing action happened anywhere at any time and few of them tackle the problem in the body sensor network (BSN). To address the problem, this paper proposes a system model according to BSN's specific features. The proposed model includes a hierarchical structure and an adversary model which originated from the traditional wireless sensor network. Based on the proposed model, an efficient green Secure Data Transmission Scheme is provided to protect users' privacy against the global eavesdropper. Next we conduct extensive simulations for proposed scheme by deploying it on the TinyOS, and compare it against a representative privacy-preserving scheme. The result shows that the scheme proposed in this paper has lower energy consumption and quicker response time, thus it fits for BSN more preferably.

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Source—destination obfuscation in wireless ad hocnetworks

Cited by 14 publications

References 20 publications

Penetration testing: Concepts, attack methods, and defense strategies

Penetration testing: Concepts, attack methods, and defense strategies

Secure Authentication for Remote Patient Monitoring with Wireless Medical Sensor Networks

A Secure Data Transmission Scheme for Body Sensor Network

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