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The vast deployment of the Internet of Things (IoT) is improving human life standards every day. These IoT applications are producing a huge amount of data from the environment where it is deployed. The collected data are mostly including end-user private data or industrial data which are transmit-ted over the internet to the cloud devices for storing, processing, and sharing with the connected applications. Recent IoT data privacy related researches are mostly focused on data privacy within a particular location of the network or at a particular device but none has pointed and listed all the places where the end-user or industrial data privacy risks exist. In this work, we have addressed both technical and management aspects for the enhancement of the privacy of IoT data. We have identified and listed the places where IoT data privacy risks exist, followed by our proposed model for data privacy enhancement in the inter-net of things (IoT) and listed ten suggestions for avoiding data privacy leakage and for IoT data privacy enhancement. The results of this work should be useful for both academic researchers and stakeholders from the industry while designing and implementing new IoT solutions for the enhancement of human society.

The vast deployment of the Internet of Things (IoT) is improving human life standards every day. These IoT applications are producing a huge amount of data from the environment where it is deployed. The collected data are mostly including end-user private data or industrial data which are transmit-ted over the internet to the cloud devices for storing, processing, and sharing with the connected applications. Recent IoT data privacy related researches are mostly focused on data privacy within a particular location of the network or at a particular device but none has pointed and listed all the places where the end-user or industrial data privacy risks exist. In this work, we have addressed both technical and management aspects for the enhancement of the privacy of IoT data. We have identified and listed the places where IoT data privacy risks exist, followed by our proposed model for data privacy enhancement in the inter-net of things (IoT) and listed ten suggestions for avoiding data privacy leakage and for IoT data privacy enhancement. The results of this work should be useful for both academic researchers and stakeholders from the industry while designing and implementing new IoT solutions for the enhancement of human society.

The vast deployment of the Internet of Things (IoT) is improving human life standards every day. These IoT applications are producing a huge amount of data from the environment where it is deployed. The collected data are mostly including end-user private data or industrial data which are transmit-ted over the internet to the cloud devices for storing, processing, and sharing with the connected applications. Recent IoT data privacy related researches are mostly focused on data privacy within a particular location of the network or at a particular device but none has pointed and listed all the places where the end-user or industrial data privacy risks exist. In this work, we have addressed both technical and management aspects for the enhancement of the privacy of IoT data. We have identified and listed the places where IoT data privacy risks exist, followed by our proposed model for data privacy enhancement in the inter-net of things (IoT) and listed ten suggestions for avoiding data privacy leakage and for IoT data privacy enhancement. The results of this work should be useful for both academic researchers and stakeholders from the industry while designing and implementing new IoT solutions for the enhancement of human society.

The vast deployment of the Internet of Things (IoT) is improving human life standards every day. These IoT applications are producing a huge amount of data from the environment where it is deployed. The collected data are mostly including end-user private data or industrial data which are transmit-ted over the internet to the cloud devices for storing, processing, and sharing with the connected applications. Recent IoT data privacy related researches are mostly focused on data privacy within a particular location of the network or at a particular device but none has pointed and listed all the places where the end-user or industrial data privacy risks exist. In this work, we have addressed both technical and management aspects for the enhancement of the privacy of IoT data. We have identified and listed the places where IoT data privacy risks exist, followed by our proposed model for data privacy enhancement in the inter-net of things (IoT) and listed ten suggestions for avoiding data privacy leakage and for IoT data privacy enhancement. The results of this work should be useful for both academic researchers and stakeholders from the industry while designing and implementing new IoT solutions for the enhancement of human society.

The vast deployment of the Internet of Things (IoT) is improving human life standards every day. These IoT applications are producing a huge amount of data from the environment where it is deployed. The collected data are mostly including end-user private data or industrial data which are transmit-ted over the internet to the cloud devices for storing, processing, and sharing with the connected applications. Recent IoT data privacy related researches are mostly focused on data privacy within a particular location of the network or at a particular device but none has pointed and listed all the places where the end-user or industrial data privacy risks exist. In this work, we have addressed both technical and management aspects for the enhancement of the privacy of IoT data. We have identified and listed the places where IoT data privacy risks exist, followed by our proposed model for data privacy enhancement in the inter-net of things (IoT) and listed ten suggestions for avoiding data privacy leakage and for IoT data privacy enhancement. The results of this work should be useful for both academic researchers and stakeholders from the industry while designing and implementing new IoT solutions for the enhancement of human society.

The vast deployment of the Internet of Things (IoT) is improving human life standards every day. These IoT applications are producing a huge amount of data from the environment where it is deployed. The collected data are mostly including end-user private data or industrial data which are transmit-ted over the internet to the cloud devices for storing, processing, and sharing with the connected applications. Recent IoT data privacy related researches are mostly focused on data privacy within a particular location of the network or at a particular device but none has pointed and listed all the places where the end-user or industrial data privacy risks exist. In this work, we have addressed both technical and management aspects for the enhancement of the privacy of IoT data. We have identified and listed the places where IoT data privacy risks exist, followed by our proposed model for data privacy enhancement in the inter-net of things (IoT) and listed ten suggestions for avoiding data privacy leakage and for IoT data privacy enhancement. The results of this work should be useful for both academic researchers and stakeholders from the industry while designing and implementing new IoT solutions for the enhancement of human society.

Efficient protection of huge amount of IoT produced data is key for wide scale data analytic services. The most efficient way is to use pure symmetric encryption as that allows both fast decryption at the analytic engine side as well as energy efficient encryption at the IoT side. However, symmetric encryption can only be performed if there is a way to directly map an encrypted object to the correct key. Typically, such mapping require a unique IoT identity, which constitute a privacy problem. In this paper, we present an IoT identity protection scheme for symmetric IoT data encryption. We give basic security definitions for this problem setting, present a new construction and give security proofs of security level achieved with the construction. Performance figures for a proof of concept implementation are also given. The new scheme gives a fair trade-off between identity privacy and complexity.

Recent developments in Internet of Things (IoT) technologies have already put a huge impact on the medical and health sector. Thus, the patient treatment can be performed in more efficient ways compared with traditional methods. Secure identification is a key system requirement for patients to acquire these health related services. Fast and convenient identification is important in the case of critical and elderly or disabled patients who required frequent health services. In this paper, we are presenting concept of the Naked environment where patients can get health services from smart and intelligent surroundings of hospital without using explicit gadgets. Patients would have direct interaction with the environment and get identified through it. We propose a biometric based authentication scheme for the Naked hospital environment that also protects the patients identity privacy. In addition, we show that this authentication scheme can resist various well known attacks such as insider attacks, replay attacks and identity privacy among others.