Anonymous Secure Framework in Connected Smart Home Environments

The smart home is an environment where heterogeneous electronic devices and appliances are networked together to provide smart services in an ubiquitous manner to the individuals. As the homes become smarter, more complex and technology dependent, the need for an adequate security mechanism with minimum individual’s intervention is growing. The recent serious security attacks have shown how the Internetenabled smart homes can be turned into very dangerous spots for various ill intentions, and thus lead the privacy concerns for the individuals. For instance, an eavesdropper is able to derive the identity of a particular device/appliance via public channels that can be used to infer in the life pattern of an individual within the home area network. This paper proposes an anonymous secure framework (ASF) in connected smart home environments, using solely lightweight operations. The proposed framework in this paper provides efficient authentication and key agreement, and enables devices (identity and data) anonymity and unlinkability. One-time session key progression regularly renews the session key for the smart devices and dilutes the risk of using a compromised session key in the ASF. It is demonstrated that computation complexity of the proposed framework is low as compared to the existing schemes, while security has been significantly improved

A Cooperation of Fog Computing and Smart Gateways in a Secure and Efficient Architecture for IoT-Based Smart Homes

Nowadays Internet of Things (IoT) is growing to be a serious factor in numerous areas of our daily life style. Internet of Things brings different opportunities of intelligence to important aspects such as health, payments, energy management, industrial sectors, transportation and also many other specialties. It is important to notice that the interaction between these two part the embedded equipment and Cloud based web services is such a common or prevalent scenario of Internet of Things deployment. When it comes to the security point of view, jointly users (consumer) and smart devices need to reassure and establish a secure and confident communication channel and should have a perfect form of digital identity. In many situations, IoT devices needs an already or earlier established infrastructure for their usage and that cannot be managed by the device owner, such as the case in smart homes. Furthermore, the scenario presupposes a security stack that it is appropriate for heterogeneous devices which can be integrated in Internet of Things frameworks or in already presented operating systems. We proposed a Foggy Smart Home Architecture (FSHA). We identify end users by writing an authentication and authorization protocol, and we will reduce the time required for this security operation, so that the proposed method can prevent Non-manipulation, online/offline password guessing attack and user impersonation attack and man-in-the-middle attack. Our method improves performance of smart home and using fog layer can minimize traffic between cloud and gateways

Enhanced end-to-end security through symmetric-key cryptography in wearable medical sensor networks

Computer Science

IoMT Malware Detection Approaches: Analysis and Research Challenges

The advancement in Information and Communications Technology (ICT) has changed the entire paradigm of computing. Because of such advancement, we have new types of computing and communication environments, for example, Internet of Things (IoT) that is a collection of smart IoT devices. The Internet of Medical Things (IoMT) is a specific type of IoT communication environment which deals with communication through the smart healthcare (medical) devices. Though IoT communication environment facilitates and supports our day-to-day activities, but at the same time it has also certain drawbacks as it suffers from several security and privacy issues, such as replay, man-in-the-middle, impersonation, privileged-insider, remote hijacking, password guessing and denial of service (DoS) attacks, and malware attacks. Among these attacks, the attacks which are performed through the malware botnet (i.e., Mirai) are the malignant attacks. The existence of malware botnets leads to attacks on confidentiality, integrity, authenticity and availability of the data and other resources of the system. In presence of such attacks, the sensitive data of IoT communication may be disclosed, altered or even may not be available to the authorized users. Therefore, it becomes essential to protect the IoT/IoMT environment from malware attacks. In this review paper, we first perform the study of various types of malware attacks, and their symptoms. We also discuss some architectures of IoT environment along with their applications. Next, a taxonomy of security protocols in IoT environment is provided. Moreover, we conduct a comparative study on various existing schemes for malware detection and prevention in IoT environment. Finally, some future research challenges and directions of malware detection in IoT/IoMT environment are highlighted

Anonymous Secure Framework in Connected Smart Home Environments

The smart home is an environment where heterogeneous electronic devices and appliances are networked together to provide smart services in an ubiquitous manner to the individuals. As the homes become smarter, more complex and technology dependent, the need for an adequate security mechanism with minimum individual’s intervention is growing. The recent serious security attacks have shown how the Internetenabled smart homes can be turned into very dangerous spots for various ill intentions, and thus lead the privacy concerns for the individuals. For instance, an eavesdropper is able to derive the identity of a particular device/appliance via public channels that can be used to infer in the life pattern of an individual within the home area network. This paper proposes an anonymous secure framework (ASF) in connected smart home environments, using solely lightweight operations. The proposed framework in this paper provides efficient authentication and key agreement, and enables devices (identity and data) anonymity and unlinkability. One-time session key progression regularly renews the session key for the smart devices and dilutes the risk of using a compromised session key in the ASF. It is demonstrated that computation complexity of the proposed framework is low as compared to the existing schemes, while security has been significantly improved

Anonymous secure framework in connected smart home environments

Abstract The smart home is an environment, where heterogeneous electronic devices and appliances are networked together to provide smart services in a ubiquitous manner to the individuals. As the homes become smarter, more complex, and technology dependent, the need for an adequate security mechanism with minimum individual’s intervention is growing. The recent serious security attacks have shown how the Internet-enabled smart homes can be turned into very dangerous spots for various ill intentions, and thus lead the privacy concerns for the individuals. For instance, an eavesdropper is able to derive the identity of a particular device/appliance via public channels that can be used to infer in the life pattern of an individual within the home area network. This paper proposes an anonymous secure framework (ASF) in connected smart home environments, using solely lightweight operations. The proposed framework in this paper provides efficient authentication and key agreement, and enables devices (identity and data) anonymity and unlinkability. One-time session key progression regularly renews the session key for the smart devices and dilutes the risk of using a compromised session key in the ASF. It is demonstrated that computation complexity of the proposed framework is low as compared with the existing schemes, while security has been significantly improved