Security and Privacy Issues in Wireless Mesh Networks: A Survey

This book chapter identifies various security threats in wireless mesh network (WMN). Keeping in mind the critical requirement of security and user privacy in WMNs, this chapter provides a comprehensive overview of various possible attacks on different layers of the communication protocol stack for WMNs and their corresponding defense mechanisms. First, it identifies the security vulnerabilities in the physical, link, network, transport, application layers. Furthermore, various possible attacks on the key management protocols, user authentication and access control protocols, and user privacy preservation protocols are presented. After enumerating various possible attacks, the chapter provides a detailed discussion on various existing security mechanisms and protocols to defend against and wherever possible prevent the possible attacks. Comparative analyses are also presented on the security schemes with regards to the cryptographic schemes used, key management strategies deployed, use of any trusted third party, computation and communication overhead involved etc. The chapter then presents a brief discussion on various trust management approaches for WMNs since trust and reputation-based schemes are increasingly becoming popular for enforcing security in wireless networks. A number of open problems in security and privacy issues for WMNs are subsequently discussed before the chapter is finally concluded.Comment: 62 pages, 12 figures, 6 tables. This chapter is an extension of the author's previous submission in arXiv submission: arXiv:1102.1226. There are some text overlaps with the previous submissio

A Security-aware Approach to JXTA-Overlay Primitives

The JXTA-Overlay project is an effort to use JXTA technology to provide a generic set of functionalities that can be used by developers to deploy P2P applications. Since its design mainly focuses on issues such as scalability or overall performance, it does not take security into account. However, as P2P applications have evolved to fulfill more complex scenarios, security has become a very important aspect to take into account when evaluating a P2P framework. This work proposes a security extension specifically suited to JXTA-Overlay¿s idiosyncrasies, providing an acceptable solution to some of its current shortcomings.El proyecto JXTA-Overlay es un esfuerzo por utilizar la tecnología JXTA para proporcionar un conjunto genérico de funciones que pueden ser utilizadas por los desarrolladores para desplegar aplicaciones P2P. Aunque su diseño se centra principalmente en cuestiones como la escalabilidad y el rendimiento general, no tiene en cuenta la seguridad. Sin embargo, como las aplicaciones P2P se han desarrollado para cumplir con escenarios más complejos, la seguridad se ha convertido en un aspecto muy importante a tener en cuenta a la hora de evaluar un marco P2P. Este artículo propone una extensión de seguridad específicamente adaptada a la idiosincrasia de JXTA-Overlay, proporcionando una solución aceptable para algunas de sus deficiencias actuales.El projecte JXTA-Overlay és un esforç per utilitzar la tecnologia JXTA per proporcionar un conjunt genèric de funcions que poden ser utilitzades pels desenvolupadors per desplegar aplicacions P2P. Tot i que el seu disseny se centra principalment en qüestions com ara la escalabilitat i el rendiment general, no té en compte la seguretat. No obstant això, com que les aplicacions P2P s'han desenvolupat per complir amb escenaris més complexos, la seguretat s'ha convertit en un aspecte molt important a tenir en compte a l'hora d'avaluar un marc P2P. Aquest article proposa una extensió de seguretat específicament adaptada a la idiosincràsia de JXTA-Overlay, proporcionant una solució acceptable per a algunes de les seves deficiències actuals

Security Engineering of Patient-Centered Health Care Information Systems in Peer-to-Peer Environments: Systematic Review

Background: Patient-centered health care information systems (PHSs) enable patients to take control and become knowledgeable about their own health, preferably in a secure environment. Current and emerging PHSs use either a centralized database, peer-to-peer (P2P) technology, or distributed ledger technology for PHS deployment. The evolving COVID-19 decentralized Bluetooth-based tracing systems are examples of disease-centric P2P PHSs. Although using P2P technology for the provision of PHSs can be flexible, scalable, resilient to a single point of failure, and inexpensive for patients, the use of health information on P2P networks poses major security issues as users must manage information security largely by themselves. Objective: This study aims to identify the inherent security issues for PHS deployment in P2P networks and how they can be overcome. In addition, this study reviews different P2P architectures and proposes a suitable architecture for P2P PHS deployment. Methods: A systematic literature review was conducted following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) reporting guidelines. Thematic analysis was used for data analysis. We searched the following databases: IEEE Digital Library, PubMed, Science Direct, ACM Digital Library, Scopus, and Semantic Scholar. The search was conducted on articles published between 2008 and 2020. The Common Vulnerability Scoring System was used as a guide for rating security issues. Results: Our findings are consolidated into 8 key security issues associated with PHS implementation and deployment on P2P networks and 7 factors promoting them. Moreover, we propose a suitable architecture for P2P PHSs and guidelines for the provision of PHSs while maintaining information security. Conclusions: Despite the clear advantages of P2P PHSs, the absence of centralized controls and inconsistent views of the network on some P2P systems have profound adverse impacts in terms of security. The security issues identified in this study need to be addressed to increase patients\u27 intention to use PHSs on P2P networks by making them safe to use

Edge Learning for 6G-enabled Internet of Things: A Comprehensive Survey of Vulnerabilities, Datasets, and Defenses

The ongoing deployment of the fifth generation (5G) wireless networks constantly reveals limitations concerning its original concept as a key driver of Internet of Everything (IoE) applications. These 5G challenges are behind worldwide efforts to enable future networks, such as sixth generation (6G) networks, to efficiently support sophisticated applications ranging from autonomous driving capabilities to the Metaverse. Edge learning is a new and powerful approach to training models across distributed clients while protecting the privacy of their data. This approach is expected to be embedded within future network infrastructures, including 6G, to solve challenging problems such as resource management and behavior prediction. This survey article provides a holistic review of the most recent research focused on edge learning vulnerabilities and defenses for 6G-enabled IoT. We summarize the existing surveys on machine learning for 6G IoT security and machine learning-associated threats in three different learning modes: centralized, federated, and distributed. Then, we provide an overview of enabling emerging technologies for 6G IoT intelligence. Moreover, we provide a holistic survey of existing research on attacks against machine learning and classify threat models into eight categories, including backdoor attacks, adversarial examples, combined attacks, poisoning attacks, Sybil attacks, byzantine attacks, inference attacks, and dropping attacks. In addition, we provide a comprehensive and detailed taxonomy and a side-by-side comparison of the state-of-the-art defense methods against edge learning vulnerabilities. Finally, as new attacks and defense technologies are realized, new research and future overall prospects for 6G-enabled IoT are discussed

Vulnerabilities of signaling system number 7 (SS7) to cyber attacks and how to mitigate against these vulnerabilities.

As the mobile network subscriber base exponentially increases due to some attractive offerings such as anytime anywhere accessibility, seamless roaming, inexpensive handsets with sophisticated applications, and Internet connectivity, the mobile telecommunications network has now become the primary source of communication for not only business and pleasure, but also for the many life and mission critical services. This mass popularisation of telecommunications services has resulted in a heavily loaded Signaling System number 7 (SS7) signaling network which is used in Second and Third Generations (2G and 3G) mobile networks and is needed for call control and services such as caller identity, roaming, and for sending short message servirces. SS7 signaling has enjoyed remarkable popularity for providing acceptable voice quality with negligible connection delays, pos- sibly due to its circuit-switched heritage. However, the traditional SS7 networks are expensive to lease and to expand, hence to cater for the growing signaling demand and to provide the seamless interconnectivity between the SS7 and IP networks a new suite of protocols known as Signaling Transport (SIGTRAN) has been designed to carry SS7 signaling messages over IP. Due to the intersignaling between the circuit-switched and the packet-switched networks, the mo- bile networks have now left the “walled garden”, which is a privileged, closed and isolated ecosystem under the full control of mobile carriers, using proprietary protocols and has minimal security risks due to restricted user access. Potentially, intersignaling can be exploited from the IP side to disrupt the services provided on the circuit-switched side. This study demonstrates the vulnerabilities of SS7 messages to cyber-attacks while being trans- ported over IP networks and proposes some solutions based on securing both the IP transport and SCTP layers of the SIGTRAN protocol stack