A Study of IEEE 802.15.4 Security Framework for Wireless Body Area Network

A Wireless Body Area Network (WBAN) is a collection of low-power and lightweight wireless sensor nodes that are used to monitor the human body functions and the surrounding environment. It supports a number of innovative and interesting applications, including ubiquitous healthcare and Consumer Electronics (CE) applications. Since WBAN nodes are used to collect sensitive (life-critical) information and may operate in hostile environments, they require strict security mechanisms to prevent malicious interaction with the system. In this paper, we first highlight major security requirements and Denial of Service (DoS) attacks in WBAN at Physical, Medium Access Control (MAC), Network, and Transport layers. Then we discuss the IEEE 802.15.4 security framework and identify the security vulnerabilities and major attacks in the context of WBAN. Different types of attacks on the Contention Access Period (CAP) and Contention Free Period (CFP) parts of the superframe are analyzed and discussed. It is observed that a smart attacker can successfully corrupt an increasing number of GTS slots in the CFP period and can considerably affect the Quality of Service (QoS) in WBAN (since most of the data is carried in CFP period). As we increase the number of smart attackers the corrupted GTS slots are eventually increased, which prevents the legitimate nodes to utilize the bandwidth efficiently. This means that the direct adaptation of IEEE 802.15.4 security framework for WBAN is not totally secure for certain WBAN applications. New solutions are required to integrate high level security in WBAN.Comment: 14 pages, 7 figures, 2 table

IEEE 802.11 i Security and Vulnerabilities

Despite using a variety of comprehensive preventive security measures, the Robust Secure Networks (RSNs) remain vulnerable to a number of attacks. Failure of preventive measures to address all RSN vulnerabilities dictates the need for enhancing the performance of Wireless Intrusion Detection Systems (WIDSs) to detect all attacks on RSNs with less false positive and false negative rates

On fast and accurate detection of unauthorized wireless access points using clock skews

Journal ArticleWe explore the use of clock skew of a wireless local area network access point (AP) as its fingerprint to detect unauthorized APs quickly and accurately. The main goal behind using clock skews is to overcome one of the major limitations of existing solutions-the inability to effectively detect Medium Access Control (MAC) address spoofing. We calculate the clock skew of an AP from the IEEE 802.11 Time Synchronization Function (TSF) time stamps sent out in the beacon/probe response frames. We use two different methods for this purpose-one based on linear programming and the other based on least-square fit. We supplement these methods with a heuristic for differentiating original packets from those sent by the fake APs. We collect TSF time stamp data from several APs in three different residential settings. Using our measurement data as well as data obtained from a large conference setting, we find that clock skews remain consistent over time for the same AP but vary significantly across APs. Furthermore, we improve the resolution of received time stamp of the frames and show that with this enhancement, our methodology can find clock skews very quickly, using 50-100 packets in most of the cases. We also discuss and quantify the impact of various external factors including temperature variation, virtualization, clock source selection, and NTP synchronization on clock skews. Our results indicate that the use of clock skews appears to be an efficient and robust method for detecting fake APs in wireless local area networks

Improved Wireless Security through Physical Layer Protocol Manipulation and Radio Frequency Fingerprinting

Wireless networks are particularly vulnerable to spoofing and route poisoning attacks due to the contested transmission medium. Traditional bit-layer defenses including encryption keys and MAC address control lists are vulnerable to extraction and identity spoofing, respectively. This dissertation explores three novel strategies to leverage the wireless physical layer to improve security in low-rate wireless personal area networks. The first, physical layer protocol manipulation, identifies true transceiver design within remote devices through analysis of replies in response to packets transmitted with modified physical layer headers. Results herein demonstrate a methodology that correctly differentiates among six IEEE 802.15.4 transceiver classes with greater than 99% accuracy, regardless of claimed bit-layer identity. The second strategy, radio frequency fingerprinting, accurately identifies the true source of every wireless transmission in a network, even among devices of the same design and manufacturer. Results suggest that even low-cost signal collection receivers can achieve greater than 90% authentication accuracy within a defense system based on radio frequency fingerprinting. The third strategy, based on received signal strength quantification, can be leveraged to rapidly locate suspicious transmission sources and to perform physical security audits of critical networks. Results herein reduce mean absolute percentage error of a widely-utilized distance estimation model 20% by examining signal strength measurements from real-world networks in a military hospital and a civilian hospital

Time of Flight and Fingerprinting Based Methods for Wireless Rogue Device Detection

Existing network detection techniques rely on SSIDs, network patterns or MAC addresses of genuine wireless devices to identify malicious attacks on the network. However, these device characteristics can be manipulated posing a security threat to information integrity, lowering detection accuracy, and weakening device protection. This research study focuses on empirical analysis to elaborate the relationship between received signal strength (RSSI) and distance; investigates methods to detect rogue devices and access points on Wi-Fi networks using network traffic analysis and fingerprint identification methods. In this paper, we conducted three experiments to evaluate the performance of RSSI and clock skews as features to detect rogue devices for indoor and outdoor locations. Results from the experiments suggest different devices connected to the same access point can be detected (p \u3c 0.05) using RSSI values. However, the magnitude of the difference was not consistent as devices were placed further from the same access point. Therefore, an optimal distance for maximizing the detection rate requires further examination. The random forest classifier provided the best performance with a mean accuracy of 79% across all distances. Our experiment on clock skew shows improved accuracy in using beacon timestamps to detect rogue APs on the network

Security technologies for wireless access to local area networks

In today’s world, computers and networks are connected to all life aspects and professions. The amount of information, personal and organizational, spread over the network is increasing exponentially. Simultaneously, malicious attacks are being developed at the same speed, which makes having a secure network system a crucial factor on every level and in any organization. Achieving a high protection level has been the goal of many organizations, such as the Wi-Fi Alliance R , and many standards and protocols have been developed over time. This work addresses the historical development of WLAN security technologies, starting from the oldest standard, WEP, and reaching the newly released standard WPA3, passing through the several versions in between,WPA, WPS, WPA2, and EAP. Along with WPA3, this work addresses two newer certificates, Enhanced OpenTM and Easy ConnectTM. Furthermore, a comparative analysis of the previous standards is also presented, detailing their security mechanisms, flaws, attacks, and the measures they have adopted to prevent these attacks. Focusing on the new released WPA3, this work presents a deep study on both WPA3 and EAP-pwd. The development of WPA3 had the objective of providing strong protection, even if the network’s password is considered weak. However, this objective was not fully accomplished and some recent research work discovered design flaws in this new standard. Along with the above studies, this master thesis’ work builds also a network for penetration testing using a set of new devices that support the new standard. A group of possible attacks onWi-Fi latest security standards was implemented on the network, testing the response against each of them, discussing the reason behind the success or the failure of the attack, and providing a set of countermeasures applicable against these attacks. Obtained results show that WPA3 has overcome many of WPA2’s issues, however, it is still unable to overcome some major Wi-Fi vulnerabilities.No mundo de hoje, os computadores e as redes estão conectados praticamente a todos os aspectos da nossa vida pessoal e profissional. A quantidade de informações, pessoais e organizacionais, espalhadas pela rede está a aumentar exponencialmente. Simultaneamente, também os ataques maliciosos estão a aumentar à mesma velocidade, o que faz com que um sistema de rede seguro seja um fator crucial a todos os níveis e em qualquer organização. Alcançar altos níveis de proteção tem sido o objetivo de trabalho de muitas organizações, como a Wi-Fi Alliance R , tendo muitos standards e protocolos sido desenvolvidos ao longo do tempo. Este trabalho aborda o desenvolvimento histórico das tecnologias de segurança para WLANs, começando pelo standard mais antigo, WEP, e acabando no recém-chegado WPA3, passando pelas várias versões intermedias, WPA, WPS, WPA2 e EAP. Juntamente com o WPA3, este trabalho aborda os dois certificados mais recentes, Enhanced OpenTM e Easy ConnectTM. Além disso, também é apresentada uma análise comparativa dos standards anteriores, detalhando os seus principais mecanismos de segurança, falhas, ataques a que são susceptíveis e medidas adotadas para evitar esses ataques. Quanto ao novo WPA3 e EAP-pwd, este trabalho apresenta um estudo aprofundado sobre os seus modos "Personal" e "Enterprise". O desenvolvimento do WPA3 teve por objetivo fornecer proteção forte, mesmo que a password de rede seja considerada fraca. No entanto, esse objetivo não foi totalmente alcançado e alguma investigação realizada recentemente detectou falhas de desenho nesse novo padrão. Juntamente com os estudo dos standards acima referidos, o trabalho realizado para esta tese de mestrado também constrói uma rede para testes de penetração usando um conjunto de novos dispositivos que já suportam o novo standard. São aplicados vários ataques aos mais recentes padrões de segurança Wi-Fi, é testada a sua resposta contra cada um deles, é discutindo o motivo que justifica o sucesso ou a falha do ataque, e são indicadas contramedidas aplicáveis a esses ataques. Os resultados obtidos mostram que o WPA3 superou muitos dos problemas do WPA2 mas que, no entanto, ainda é incapaz de superar algumas das vulnerabilidades presentes nas redes Wi-Fi.First, I would like to express my deepest appreciation to those who gave me the possibility to complete my study and get my Master degree, the Aga Khan Foundation, who has supported me financiall

Systems architecture for the acquisition and preservation of wireless network traffic

Wireless networking provides a ready and cost effective solution for business applications. It has escalated in popularity mainly due to the ability to form computer networks without a wired based infrastructure. However, accompanying the widespread usage also comes the inherent prospect of criminal misuse, including unauthorized application and the launch of system attacks. This paper presents the testing of an innovative Wireless Forensic Model (WFM) system that provides capability for acquisition and preservation of wireless network traffic (802.11) frames by implementing a wireless drone architecture. It is thus a forensic readiness system providing available evidence for forensic investigation. The results show that the tested system has the ability to collect upwards of 90% of all frames, as well as evidence and detection of attacks conducted against the wireless network

IEEE 802.15.4 Wireless Security: Self-Assessment Frameworks

This thesis analyzes the security of networks built upon the IEEE 802.15.4 standard, specifically in regard to the ability of an attacker to manipulate such networks under real-world conditions. The author presents a set of tools, both hardware and software, that advance the state-of-the-art in reconnaissance and site surveying, intelligent packet generation, and launching of attacks. Specifically, tools provide increased hardware support for the KillerBee toolkit, a Scapy layer for forming 802.15.4 packets, reflexive jamming of packets, and other research enablers. This work aims to advance the ability of security auditors to understand the threats to IEEE 802.15.4 networks by providing auditors usable and low-cost tools to carry out vulnerability assessments

Using metrics from multiple layers to detect attacks in wireless networks

The IEEE 802.11 networks are vulnerable to numerous wireless-specific attacks. Attackers can implement MAC address spoofing techniques to launch these attacks, while masquerading themselves behind a false MAC address. The implementation of Intrusion Detection Systems has become fundamental in the development of security infrastructures for wireless networks. This thesis proposes the designing a novel security system that makes use of metrics from multiple layers of observation to produce a collective decision on whether an attack is taking place. The Dempster-Shafer Theory of Evidence is the data fusion technique used to combine the evidences from the different layers. A novel, unsupervised and self- adaptive Basic Probability Assignment (BPA) approach able to automatically adapt its beliefs assignment to the current characteristics of the wireless network is proposed. This BPA approach is composed of three different and independent statistical techniques, which are capable to identify the presence of attacks in real time. Despite the lightweight processing requirements, the proposed security system produces outstanding detection results, generating high intrusion detection accuracy and very low number of false alarms. A thorough description of the generated results, for all the considered datasets is presented in this thesis. The effectiveness of the proposed system is evaluated using different types of injection attacks. Regarding one of these attacks, to the best of the author knowledge, the security system presented in this thesis is the first one able to efficiently identify the Airpwn attack