Visible to the public Biblio

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2020-12-07
Furtak, J., Zieliński, Z., Chudzikiewicz, J..  2019.  Security Domain for the Sensor Nodes with Strong Authentication. 2019 International Conference on Military Communications and Information Systems (ICMCIS). :1–6.
Nowadays interest in IoT solutions is growing. A significant barrier to the use of these solutions in military applications is to ensure the security of data transmission and authentication of data sources and recipients of the data. Developing an efficient solution to these problems requires finding a compromise between the facts that the sensors often are mobile, use wireless communication, usually have the small processing power and have little energy resources. The article presents the security domain designated for cooperating mobile sensor nodes. The domain has the following features: the strong authentication of each domain member, cryptographic protection of data exchange in the data link layer and protection of data stored in the sensor node resources. The domain is also prepared to perform diagnostic procedures and to exchange sensory data with other domains securely. At each node, the Trusted Platform Module (TPM) is used to support these procedures.
2020-11-23
Jolfaei, A., Kant, K., Shafei, H..  2019.  Secure Data Streaming to Untrusted Road Side Units in Intelligent Transportation System. 2019 18th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/13th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE). :793–798.
The paper considers data security issues in vehicle-to-infrastructure communications, where vehicles stream data to a road side unit. We assume aggregated data in road side units can be stored or used for data analytics. In this environment, there are issues in regards to the scalability of key management and computation limitations at the edge of the network. To address these issues, we suggest the formation of groups in the vehicle layer, where a group leader is assigned to communicate with group devices and the road side unit. We propose a lightweight permutation mechanism for preserving the confidentiality of sensory data.
2020-09-28
Li, Kai, Kurunathan, Harrison, Severino, Ricardo, Tovar, Eduardo.  2018.  Cooperative Key Generation for Data Dissemination in Cyber-Physical Systems. 2018 ACM/IEEE 9th International Conference on Cyber-Physical Systems (ICCPS). :331–332.
Securing wireless communication is significant for privacy and confidentiality of sensing data in Cyber-Physical Systems (CPS). However, due to broadcast nature of radio channels, disseminating sensory data is vulnerable to eavesdropping and message modification. Generating secret keys by extracting the shared randomness in a wireless fading channel is a promising way to improve the communication security. In this poster, we present a novel secret key generation protocol for securing real-time data dissemination in CPS, where the sensor nodes cooperatively generate a shared key by estimating the quantized fading channel randomness. A 2-hop wireless sensor network testbed is built and preliminary experimental results show that the quantization intervals and distance between the nodes lead to a secret bit mismatch.
2020-02-17
Jolfaei, Alireza, Kant, Krishna.  2019.  Privacy and Security of Connected Vehicles in Intelligent Transportation System. 2019 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks – Supplemental Volume (DSN-S). :9–10.
The paper considers data security and privacy issues in intelligent transportation systems which involve data streams coming out from individual vehicles to road side units. In this environment, there are issues in regards to the scalability of key management and computation limitations at the edge of the network. To address these issues, we suggest the formation of groups in the vehicular layer, where a group leader is assigned to communicate with group members and the road side unit. We propose a lightweight permutation mechanism for preserving the confidentiality and privacy of sensory data.