Mobile network anomaly detection and mitigation: The NEMESYS approach

Mobile malware and mobile network attacks are becoming a significant threat that accompanies the increasing popularity of smart phones and tablets. Thus in this paper we present our research vision that aims to develop a network-based security solution combining analytical modelling, simulation and learning, together with billing and control-plane data, to detect anomalies and attacks, and eliminate or mitigate their effects, as part of the EU FP7 NEMESYS project. These ideas are supplemented with a careful review of the state-of-the-art regarding anomaly detection techniques that mobile network operators may use to protect their infrastructure and secure users against malware

A review of cyber threats and defence approaches in emergency management

Emergency planners, first responders and relief workers increasingly rely on computational and communication systems that support all aspects of emergency management, from mitigation and preparedness to response and recovery. Failure of these systems, whether accidental or because of malicious action, can have severe implications for emergency management. Accidental failures have been extensively documented in the past and significant effort has been put into the development and introduction of more resilient technologies. At the same time researchers have been raising concerns about the potential of cyber attacks to cause physical disasters or to maximise the impact of one by intentionally impeding the work of the emergency services. Here, we provide a review of current research on the cyber threats to communication, sensing, information management and vehicular technologies used in emergency management. We emphasise on open issues for research, which are the cyber threats that have the potential to affect emergency management severely and for which solutions have not yet been proposed in the literature

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

Performance analysis of mobile networks under signalling storms

There are numerous security challenges in cellular mobile networks, many of which originate from the Internet world. One of these challenges is to answer the problem with increasing rate of signalling messages produced by smart devices. In particular, many services in the Internet are provided through mobile applications in an unobstructed manner, such that users get an always connected feeling. These services, which usually come from instant messaging, advertising and social networking areas, impose significant signalling loads on mobile networks by frequent exchange of control data in the background. Such services and applications could be built intentionally or unintentionally, and result in denial of service attacks known as signalling attacks or storms. Negative consequences, among others, include degradations of mobile network’s services, partial or complete net- work failures, increased battery consumption for infected mobile terminals. This thesis examines the influence of signalling storms on different mobile technologies, and proposes defensive mechanisms. More specifically, using stochastic modelling techniques, this thesis first presents a model of the vulnerability in a single 3G UMTS mobile terminal, and studies the influence of the system’s internal parameters on stability under a signalling storm. Further on, it presents a queueing network model of the radio access part of 3G UMTS and examines the effect of the radio resource control (RRC) inactivity timers. In presence of an attack, the proposed dynamic setting of the timers manage to lower the signalling load in the network and to increase the threshold above which a network failure could happen. Further on, the network model is upgraded into a more generic and detailed model, represent different generations of mobile technologies. It is than used to compare technologies with dedicated and shared organisation of resource allocation, referred to as traditional and contemporary networks, using performance metrics such as: signalling and communication delay, blocking probability, signalling load on the network’s nodes, bandwidth holding time, etc. Finally, based on the carried analysis, two mechanisms are proposed for detection of storms in real time, based on counting of same-type bandwidth allocations, and usage of allocated bandwidth. The mechanisms are evaluated using discrete event simulation in 3G UMTS, and experiments are done combining the detectors with a simple attack mitigation approach.Open Acces

Analysis and Mitigation of Recent Attacks on Mobile Communication Backend

2014 aasta viimases kvartalis demonstreeriti mitmeid edukaid rünnakuid mobiilsidevõrkude vastu. Need baseerusid ühe peamise signaaliprotokolli, SS7 väärkasutamisel. Ründajatel õnnestus positsioneerida mobiilseadmete kasutajaid ja kuulata pealt nii kõnesid kui ka tekstisõnumeid. Ajal mil enamik viimase aja ründeid paljastavad nõrkusi lõppkasutajate seadmete tarkvaras, paljastavad need hiljutised rünnakud põhivõrkude endi haavatavust. Teadaolevalt on mobiilsete telekommunikatsioonivõrkude tööstuses raskusi haavatavuste õigeaegsel avastamisel ja nende mõistmisel. Käesolev töö on osa püüdlusest neid probleeme mõista. Töö annab põhjaliku ülevaate ja analüüsib teadaolevaid rünnakuid ning toob välja võimalikud lahendused. Rünnakud võivad olla väga suurte tagajärgedega, kuna vaatamata SS7 protokolli vanusele, jääb see siiski peamiseks signaaliprotokolliks mobiilsidevõrkudes veel pikaks ajaks. Uurimustöö analüüs ja tulemused aitavad mobiilsideoperaatoritel hinnata oma võrkude haavatavust ning teha paremaid investeeringuid oma taristu turvalisusele. Tulemused esitletakse mobiilsideoperaatoritele, võrguseadmete müüjatele ning 3GPP standardi organisatsioonile.In the last quarter of 2014, several successful attacks against mobile networks were demonstrated. They are based on misuse of one of the key signaling protocol, SS7, which is extensively used in the mobile communication backend for signaling tasks such as call and mobility management. The attackers were able to locate the mobile users and intercept voice calls and text messages. While most attacks in the public eye are those which exploits weaknesses in the end-device software or radio access links, these recently demonstrated vulnerabilities exploit weaknesses of the mobile core networks themselves. Understandably, there is a scramble in the mobile telecommunications industry to understand the attacks and the underlying vulnerabilities. This thesis is part of that effort. This thesis presents a broad and thorough overview and analysis of the known attacks against mobile network signaling protocols and the possible mitigation strategies. The attacks are presented in a uniform way, in relation to the mobile network protocol standards and signaling scenarios. Moreover, this thesis also presents a new attack that enables a malicious party with access to the signaling network to remove lost or stolen phones from the blacklist that is intended to prevent their use. Both the known and new attacks have been confirmed by implementing them in a controlled test environment. The attacks are serious because SS7, despite its age, remains the main signaling protocol in the mobile networks and will still long be required for interoperability and background compatibility in international roaming. Moreover, the number of entities with access to the core network, and hence the number of potential attackers, has increased significantly because of changes in regulation and opening of the networks to competition. The analysis and new results of this thesis will help mobile network providers and operators to assess the vulnerabilities in their infrastructure and to make security-aware decisions regarding their future investments and standardization. The results will be presented to the operators, network-equipment vendors, and to the 3GPP standards body

Defending against Sybil Devices in Crowdsourced Mapping Services

Real-time crowdsourced maps such as Waze provide timely updates on traffic, congestion, accidents and points of interest. In this paper, we demonstrate how lack of strong location authentication allows creation of software-based {\em Sybil devices} that expose crowdsourced map systems to a variety of security and privacy attacks. Our experiments show that a single Sybil device with limited resources can cause havoc on Waze, reporting false congestion and accidents and automatically rerouting user traffic. More importantly, we describe techniques to generate Sybil devices at scale, creating armies of virtual vehicles capable of remotely tracking precise movements for large user populations while avoiding detection. We propose a new approach to defend against Sybil devices based on {\em co-location edges}, authenticated records that attest to the one-time physical co-location of a pair of devices. Over time, co-location edges combine to form large {\em proximity graphs} that attest to physical interactions between devices, allowing scalable detection of virtual vehicles. We demonstrate the efficacy of this approach using large-scale simulations, and discuss how they can be used to dramatically reduce the impact of attacks against crowdsourced mapping services.Comment: Measure and integratio

Cloud based intrusion detection architecture for smartphones

Smartphones are phones with advanced capabilities like those of personal computers (PCs). Smartphone technology is more and more becoming the predominant communication tool for people across the world. People use their smartphones to keep their contact data, to browse the internet, to exchange messages, to keep notes, carry their personal files and documents, etc. Users while browsing are also capable of shopping online, thus provoking a need to type their credit card numbers and security codes. As the smartphones are becoming widespread, it's also becoming a popular target for security threats and attack. Since smartphones use the same software architecture as in PCs, they are vulnerable to be exposed to similar threats such as in PCs. Recent news and articles indicate huge increase in malware and viruses for operating systems employed on smartphones (primarily Android and iOS). Major limitations of smartphone technology are its processing power and its scarce energy source since smartphones rely on battery usage. The smartphones have less storage and computational power to put into effect highly complex algorithms for intrusion detection and implementing signature based attack detection. Now in this paper, we propose a cloud based Intrusion Detection System for smartphones to overcome the issues of smartphone resource constraints and to detect any misbehavior or anomalous activity effectively