2,326 research outputs found
Security Evaluation of Cyber-Physical Systems in Society- Critical Internet of Things
In this paper, we present evaluation of security
awareness of developers and users of cyber-physical systems. Our
study includes interviews, workshops, surveys and one practical
evaluation. We conducted 15 interviews and conducted survey with
55 respondents coming primarily from industry. Furthermore, we
performed practical evaluation of current state of practice for a
society-critical application, a commercial vehicle, and reconfirmed
our findings discussing an attack vector for an off-line societycritical
facility. More work is necessary to increase usage of security
strategies, available methods, processes and standards. The security
information, currently often insufficient, should be provided in the
user manuals of products and services to protect system users. We
confirmed it lately when we conducted an additional survey of
users, with users feeling as left out in their quest for own security
and privacy. Finally, hardware-related security questions begin to
come up on the agenda, with a general increase of interest and
awareness of hardware contribution to the overall cyber-physical
security. At the end of this paper we discuss possible
countermeasures for dealing with threats in infrastructures,
highlighting the role of authorities in this quest
Compromising Anonymous Communication Systems Using Blind Source Separation
We propose a class of anonymity attacks to both wired and wireless anonymity networks. These attacks are based on the blind source separation algorithms widely used to recover individual signals from mixtures of signals in statistical signal processing. Since the philosophy behind the design of current anonymity networks is to mix traffic or to hide in crowds, the proposed anonymity attacks are very effective. The flow separation attack proposed for wired anonymity networks can separate the traffic in a mix network. Our experiments show that this attack is effective and scalable. By combining the flow separation method with frequency spectrum matching, a passive attacker can derive the traffic map of the mix network. We use a nontrivial network to show that the combined attack works. The proposed anonymity attacks for wireless networks can identify nodes in fully anonymized wireless networks using collections of very simple sensors. Based on a time series of counts of anonymous packets provided by the sensors, we estimate the number of nodes with the use of principal component analysis. We then proceed to separate the collected packet data into traffic flows that, with help of the spatial diversity in the available sensors, can be used to estimate the location of the wireless nodes. Our simulation experiments indicate that the estimators show high accuracy and high confidence for anonymized TCP traffic. Additional experiments indicate that the estimators perform very well in anonymous wireless networks that use traffic padding
Mobile Ad-Hoc Networks
Being infrastructure-less and without central administration control, wireless ad-hoc networking is playing a more and more important role in extending the coverage of traditional wireless infrastructure (cellular networks, wireless LAN, etc). This book includes state-of the-art techniques and solutions for wireless ad-hoc networks. It focuses on the following topics in ad-hoc networks: vehicular ad-hoc networks, security and caching, TCP in ad-hoc networks and emerging applications. It is targeted to provide network engineers and researchers with design guidelines for large scale wireless ad hoc networks
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