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Data-driven business processes are gaining popularity among enterprises now-a-days. In many situations, multiple parties would share data towards a common goal if it were possible to simultaneously protect the privacy of the individuals and organizations described in the data. Existing solutions for multi-party analytics require parties to transfer their raw data to a trusted mediator, who then performs...
With the rapid development of the social networks, Collaborative Filtering (CF)-based recommender systems have been increasingly prevalent and become widely accepted by users. The CF-based techniques generate recommendations by collecting privacy sensitive data from users. Usually, the users are sensitive to disclosure of personal information and, consequently, there are unavoidable security concerns...
In this paper, we introduce Kalis, a self-adapting, knowledge-driven expert Intrusion Detection System able to detect attacks in real time across a wide range of IoT systems. Kalis does not require changes to existing IoT software, can monitor a wide variety of protocols, has no performance impact on applications on IoT devices, and enables collaborative security scenarios. Kalis is the first comprehensive...
Assured Mission Delivery Network (AMDN) is a collaborative network to support data-intensive scientific collaborations in a multi-cloud environment. Each scientific collaboration group, called a mission, specifies a set of rules to handle computing and network resources. Security is an integral part of the AMDN design since the rules must be set by authorized users and the data generated by each mission...
Vehicular Ad-hoc Networks (VANETs) are formed by a huge number of vehicles which act as the network nodes and communicate with one another. This emerging paradigm has opened up new business opportunities and enables numerous applications ranging from road safety enhancement to mobile entertainment. A fundamental issue that impacts the successful deployment of VANET applications is the security and...
Many techniques for privacy-preserving data mining (PPDM) have been investigated over the past decade. Such techniques, however, usually incur heavy computational and communication cost on the participating parties and thus entities with limited resources may have to refrain from participating in the PPDM process. To address this issue, one promising solution is to outsource the tasks to the cloud...
Outsourcing data and computation to the cloud is increasingly common. However, the data to be outsourced is often privacy-sensitive (e.g., geospatial data, social network data, and Internet network traffic data) and thus it is typically outsourced after being properly encrypted. Graph is one of the most common ways to model and represent the data in many applications, including geospatial data in...
Private record linkage protocols allow multiple parties to exchange matching records, which refer to the same entities or have similar values, while keeping the non-matching ones secret. Conventional protocols are based on computationally expensive cryptographic primitives and therefore do not scale. To address these scalability issues, hybrid protocols have been recently proposed that combine differential...
In mobile communication, spatial queries pose a serious threat to user location privacy because the location of a query may reveal sensitive information about the mobile user. In this paper, we study k nearest neighbor (kNN) queries where the mobile user queries the location-based service (LBS) provider about k nearest points of interest (POIs) on the basis of his current location. We propose a solution...
Recently, the amount of personal medical information online is increasing exponentially, opening up new avenues for hackers to expose personal data that, unlike financial information, can result in a permanent violation of privacy. To protect the privacy of patient data, such as electronic health records (EHRs), access control was used before and attributed-based encryption is used recently. These...
In-network aggregation is an essential operation which reduces communication overhead and power consumption of resource-constrained sensor network nodes. Sensor nodes are typically organized into an aggregation tree, whereby aggregator nodes collect data from multiple data source nodes, and perform a reduction operation such as sum, average, minimum, etc. The result is then forwarded to other aggregators...
In this paper we present a solution to one of the location-based query problems. This problem is defined as follows: (i) a user wants to query a database of location data, known as Points Of Interest (POI), and does not want to reveal his/her location to the server due to privacy concerns, (ii) the owner of the location data, that is, the location server, does not want to simply distribute its data...
An aggregated privacy-preserving identity verification scheme is proposed for composite Web services. It aggregates multiple component providers' interactions of identity verification to a single one involving the user. Besides, it protects users from privacy disclosure through the adoption of zero-knowledge of proof of knowledge. This approach can dramatically reduce the computation time, independently...
The secure sum protocol is a well-known protocol for computing the sum of private inputs from distributed entities such that the inputs remain private. In this paper we present protocols for computing reputation in a privacy preserving manner that are inspired by the secure sum protocol. We provide a protocol that is secure under the semi-honest adversarial model as well as one that is secure under...
Ensuring secure information flow is a critical task for service composition in multi-domain systems. Research in security-aware service composition provides some preliminary solutions to this problem, but there are still issues to be addressed. In this paper, we develop a service composition mechanism specifically focusing on the secure information flow control issues. We first introduce a general...
Mobile Ad-hoc Networks (MANETs) enable users in physical proximity to each other to exchange data without the need for expensive communication infrastructures. Each user represents a node in the network, and executes a neighbor discovery Typically, nodes broadcast beacon messages that are received by other participants within the sender’s communication range. Routing strategies are computed on-line...
This paper contributes to build a quantitative approach for digital identity assurance. We propose to use a hierarchical structure level to define the assurance level, taking weighted affiliation information into consideration for assurance level; thus creating a more practical assurance supporting model is designed for any digital identities. In doing this an accurate mathematical framework is constructed...
We propose a novel scheme for selective distribution of content, encoded as documents, that preserves the privacy of the users to whom the documents are delivered and is based on an efficient and novel group key management scheme. Our document broadcasting approach is based on access control policies specifying which users can access which documents, or subdocuments. Based on such policies, a broadcast...
Trust negotiation makes it possible for two parties to carry on secure transactions by first establishing trust through a bilateral, iterative process of requesting and disclosing digital credentials and policies. Credentials, exchanged during trust negotiations, often contain sensitive attributes that attest to the properties of the credential owner. Uncontrolled disclosure of such sensitive attributes...
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