Exploiting the network for securing personal devices

Personal devices (such as smartphones and laptops) often experience incoherent levels of security due to the different protection applications available on the various devices. This paper presents a novel approach that consists in offloading security applications from personal devices and relocating them inside the network; this will be achieved by enriching network devices with the appropriate computational capabilities to execute generic security applications. This approach is fostered by the Secured project, which will define the architecture, data and protocols needed to turn this vision into reality

A Survey on Wireless Security: Technical Challenges, Recent Advances and Future Trends

This paper examines the security vulnerabilities and threats imposed by the inherent open nature of wireless communications and to devise efficient defense mechanisms for improving the wireless network security. We first summarize the security requirements of wireless networks, including their authenticity, confidentiality, integrity and availability issues. Next, a comprehensive overview of security attacks encountered in wireless networks is presented in view of the network protocol architecture, where the potential security threats are discussed at each protocol layer. We also provide a survey of the existing security protocols and algorithms that are adopted in the existing wireless network standards, such as the Bluetooth, Wi-Fi, WiMAX, and the long-term evolution (LTE) systems. Then, we discuss the state-of-the-art in physical-layer security, which is an emerging technique of securing the open communications environment against eavesdropping attacks at the physical layer. We also introduce the family of various jamming attacks and their counter-measures, including the constant jammer, intermittent jammer, reactive jammer, adaptive jammer and intelligent jammer. Additionally, we discuss the integration of physical-layer security into existing authentication and cryptography mechanisms for further securing wireless networks. Finally, some technical challenges which remain unresolved at the time of writing are summarized and the future trends in wireless security are discussed.Comment: 36 pages. Accepted to Appear in Proceedings of the IEEE, 201

ZigBee/ZigBee PRO security assessment based on compromised cryptographic keys

Sensor networks have many applications in monitoring and controlling of environmental properties such as sound, acceleration, vibration and temperature. Due to limited resources in computation capability, memory and energy, they are vulnerable to many kinds of attacks. The ZigBee specification based on the 802.15.4 standard, defines a set of layers specifically suited to sensor networks. These layers support secure messaging using symmetric cryptographic. This paper presents two different ways for grabbing the cryptographic key in ZigBee: remote attack and physical attack. It also surveys and categorizes some additional attacks which can be performed on ZigBee networks: eavesdropping, spoofing, replay and DoS attacks at different layers. From this analysis, it is shown that some vulnerabilities still in the existing security schema in ZigBee technology.Les xarxes de sensors tenen moltes aplicacions en el control i la monitorització de les propietats del medi ambient, com ara el so, l¿acceleració, la vibració i la temperatura. A causa dels limitats recursos en la capacitat de càlcul, la memòria i l'energia són vulnerables a molts tipus d'atacs. L'especificació ZigBee basada en l'estàndard 802.15.4, defineix un conjunt de capes, adaptada específicament per a xarxes de sensors. Aquestes capes suporten missatgeria segura mitjançant criptografia simètrica. Aquest article presenta dues formes diferents per agafar la clau de xifrat en ZigBee: atac a distància i atacs físics. També les enquesta i classifica alguns atacs addicionals que es poden realitzar en les xarxes ZigBee: espionatge, falsificació, reproducció i atacs DoS en les diferents capes. A partir d'aquesta anàlisi, es demostren algunes vulnerabilitats existents en l'esquema de seguretat en tecnologia ZigBee.Las redes de sensores tienen muchas aplicaciones en el control y la monitorización de las propiedades del medio ambiente, como el sonido, la aceleración, la vibración y la temperatura. Debido a los limitados recursos en la capacidad de cálculo, la memoria y la energía son vulnerables a muchos tipos de ataques. La especificación ZigBee basada en el estándar 802.15.4, define un conjunto de capas, adaptada específicamente para redes de sensores. Estas capas soportan mensajería segura mediante criptografía simétrica. Este artículo presenta dos formas diferentes para coger la clave de cifrado en ZigBee: ataque a distancia y ataques físicos. También las encuesta y clasifica algunos ataques adicionales que se pueden realizar en las redes ZigBee: espionaje, falsificación, reproducción y ataques DoS en las diferentes capas. A partir de este análisis, se demuestran algunas vulnerabilidades existentes en el esquema de seguridad en tecnología ZigBee

Data Confidentiality in Mobile Ad hoc Networks

Mobile ad hoc networks (MANETs) are self-configuring infrastructure-less networks comprised of mobile nodes that communicate over wireless links without any central control on a peer-to-peer basis. These individual nodes act as routers to forward both their own data and also their neighbours' data by sending and receiving packets to and from other nodes in the network. The relatively easy configuration and the quick deployment make ad hoc networks suitable the emergency situations (such as human or natural disasters) and for military units in enemy territory. Securing data dissemination between these nodes in such networks, however, is a very challenging task. Exposing such information to anyone else other than the intended nodes could cause a privacy and confidentiality breach, particularly in military scenarios. In this paper we present a novel framework to enhance the privacy and data confidentiality in mobile ad hoc networks by attaching the originator policies to the messages as they are sent between nodes. We evaluate our framework using the Network Simulator (NS-2) to check whether the privacy and confidentiality of the originator are met. For this we implemented the Policy Enforcement Points (PEPs), as NS-2 agents that manage and enforce the policies attached to packets at every node in the MANET.Comment: 12 page

Technologies and solutions for location-based services in smart cities: past, present, and future

Location-based services (LBS) in smart cities have drastically altered the way cities operate, giving a new dimension to the life of citizens. LBS rely on location of a device, where proximity estimation remains at its core. The applications of LBS range from social networking and marketing to vehicle-toeverything communications. In many of these applications, there is an increasing need and trend to learn the physical distance between nearby devices. This paper elaborates upon the current needs of proximity estimation in LBS and compares them against the available Localization and Proximity (LP) finding technologies (LP technologies in short). These technologies are compared for their accuracies and performance based on various different parameters, including latency, energy consumption, security, complexity, and throughput. Hereafter, a classification of these technologies, based on various different smart city applications, is presented. Finally, we discuss some emerging LP technologies that enable proximity estimation in LBS and present some future research areas

IoT Sentinel: Automated Device-Type Identification for Security Enforcement in IoT

With the rapid growth of the Internet-of-Things (IoT), concerns about the security of IoT devices have become prominent. Several vendors are producing IP-connected devices for home and small office networks that often suffer from flawed security designs and implementations. They also tend to lack mechanisms for firmware updates or patches that can help eliminate security vulnerabilities. Securing networks where the presence of such vulnerable devices is given, requires a brownfield approach: applying necessary protection measures within the network so that potentially vulnerable devices can coexist without endangering the security of other devices in the same network. In this paper, we present IOT SENTINEL, a system capable of automatically identifying the types of devices being connected to an IoT network and enabling enforcement of rules for constraining the communications of vulnerable devices so as to minimize damage resulting from their compromise. We show that IOT SENTINEL is effective in identifying device types and has minimal performance overhead