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Electronic healthcare (e-health) has gained more and more research attention in recent years, due to its flexibility and convenience. E-health is efficiently enabled by telecare medicine information system (TMIS). TMIS provides seamless transfer and timely sharing of medical information for specific healthcare services. Since communications in TMIS are carried out through unreliable channels, data security and user privacy concerns become prominent. With traditional single-server architecture, users must store massive credentials, which causes inefficient communication and significant overhead. Moreover, user credentials in previously proposed schemes are stored at server side, suffering potential risks. Our work proposes a three-factor user-controlled single sign-on (UCSSO) with fast authentication and privacy protection for TMIS. The contributions of this paper are as follows. Our work integrates three factors including password, smart card and biometrics in authentication procedure, for providing a high-security and privacy-preserved communication. We introduce single sign-on solution that allows users to log in to multiple servers using a single password. User-controlled mechanism is proposed to address insider attacks and the risk that registration center may be compromised. The proposed scheme is designed with fast authentication mechanism that helps to efficiently establishes new session key. Our work is proved secure using BAN logic, ROR model, and AVISPA toolset. The results of performance comparison show that our scheme provides more security properties and bears the least overhead, compared with competitive schemes.

Edge computing has played an important role in enabling 5G technology which supports a great number of connected narrow-band IoT devices. In an edge computing architecture enabled with global mobile network, edge or IoT devices are wirelessly connected to the edge of the network. Data acquisition and processing will be handled at or close to the edge of the network in a distributed way. Since edge computing is a heterogeneous distributed interactive system with multiple domains and entities, it might suffer from potential attacks and threats. To provide a trusted edge computing, there must have a robust scheme that allows all participants to mutually authenticate in a secure and privacy-preserved way. With the rapid development of IoT technologies, mobile networks and edge computing architecture, single server has been unable to meet the needs of users. In this paper, we propose a privacy-preserved end-to-end password-based authenticated key exchange protocol for multi-server architecture in edge computing networks. Our protocol allows an end user to use an easy-to-remember password to login to the server, then through foreign agent compute a shared key with another end user for specific use of services. The proposed protocol provides strong user anonymity during communication process. Besides, the proposed protocol is proved to be secure using BAN logic and AVISPA tool. Furthermore, performance analysis shows that the proposed protocol gains stronger security and better computational efficiency. Providing lightweight computation with short key size of ECC, our work is a solution to lower latency and improve efficiency in edge computing networks.

5G networks have an efficient effect in energy consumption and provide a quality experience to many communication devices. Device-to-device communication is one of the key technologies of 5G networks. Internet of Things (IoT) applying 5G infrastructure changes the application scenario in many fields especially real-time communication between machines, data, and people. The 5G network has expanded rapidly around the world including in healthcare. Telemedicine provides long-distance medical communication and services. Patient can get help with ambulatory care or other medical services in remote areas. 5G and IoT will become important parts of next generation smart medical healthcare. Telemedicine is a technology of electronic message and telecommunication related to healthcare, which is implemented in public networks. Privacy issue of transmitted information in telemedicine is important because the information is sensitive and private. In this paper, 5G-based federated anonymous identity management for medical privacy protection is proposed, and it can provide a secure way to protect medical privacy. There are some properties below. (i) The proposed scheme provides federated identity management which can manage identity of devices in a hierarchical structure efficiently. (ii) Identity authentication will be achieved by mutual authentication. (iii) The proposed scheme provides session key to secure transmitted data which is related to privacy of patients. (iv) The proposed scheme provides anonymous identities for devices in order to reduce the possibility of leaking transmitted medical data and real information of device and its owner. (v) If one of devices transmit abnormal data, proposed scheme provides traceability for servers of medical institute. (vi) Proposed scheme provides signature for non-repudiation.

The fifth generation (5G) mobile network delivers high peak data rates with ultra-low latency and massive network capacity. Wireless sensor network (WSN) in Internet of Thing (IoT) architecture is of prominent use in 5G-enabled applications. The electronic healthcare (e-health) system has gained a lot of research attention since it allows e-health users to store and share data in a convenient way. By the support of 5G technology, healthcare data produced by sensor nodes are transited in the e-health system with high efficiency and reliability. It helps in reducing the treatment cost, providing efficient services, better analysis reports, and faster access to treatment. However, security and privacy issues become big concerns when the number of sensors and mobile devices is increasing. Moreover, existing single-server architecture requires to store a massive number of identities and passwords, which causes a significant database cost. In this paper, we propose a three-factor fast authentication scheme with time bound and user anonymity for multi-server e-health systems in 5G-based wireless sensor networks. In our work, the three-factor authentication scheme integrating biometrics, password, and smart card ensures a high-security sensor-enabled environment for communicating parties. User anonymity is preserved during communication process. Besides, time bound authentication can be applied to various healthcare scenarios to enhance security. The proposed protocol includes fast authentication, which can provide a fast communication for participating parties. Our protocol is also designed with multi-server architecture to simplify network load and significantly save database cost. Furthermore, security proof and performance analysis results show that our proposed protocol can resist various attacks and bear a rational communication cost.

A group key agreement protocol can establish a secret key shared among some participants for secure group-oriented applications. Many authenticated group key agreement protocols are proposed, but some of them cannot provide user anonymity. Xiao et al. (Inf Sci 177:1136–1142, 2007) proposed an improved key agreement protocol based on chaotic maps with only a predetermined long-term key to ensure security. Guo and Zhang (Inf Sci 180:4069–4074, 2010) proposed a group key agreement protocol based on chaotic hash function, but Yoon et al. recently pointed out that Guo et al.’s protocol is vulnerable to off-line password guessing attack, stolen-verifier attack, and reflection attack. In this paper, we will propose an authenticated group key agreement protocol with user anonymity based on Chebyshev chaotic maps to resist above pointed out attacks and achieve the following properties with better performance: (i) It is suitable for multi-server and mobile environments; (ii) it achieves contributory group key agreement with user authentication; (iii) it provides mutual authentication, explicit key authentication, key confirmation, forward secrecy, and group key updating; (iv) user anonymity can simultaneously be preserved in the group key agreement procedure, which implies that identities of all participants are anonymously to outsiders; (iv) no public key certificates are used, which implies that authenticity of public keys are implicitly verified; (vi) it can also resist password guessing and stolen-verifier attacks.

Healthcare is now an important part of daily life because of rising consciousness of health management. Medical professionals can know users’ health condition if they are able to access information immediately. Telemedicine systems, which provides long distance medical communication and services, is a multi-functional remote medical service that can help patients in bed in long-distance communication environments. As telemedicine systems work in public networks, privacy preservation issue of sensitive and private transmitted information is important. One of the means of proving a user’s identity are user-controlled single sign-on (UCSSO) authentication scheme, which can establish a secure communication channel using authenticated session keys between the users and servers of telemedicine systems, without threats of eavesdropping, impersonation, etc., and allow patients access to multiple telemedicine services with a pair of identity and password. In this paper, we proposed a smartcard-based user-controlled single sign-on (SC-UCSSO) for telemedicine systems that not only remains above merits but achieves privacy preservation and enhances security and performance compared to previous schemes that were proved with BAN logic and automated validation of internet security protocols and applications (AVISPA).

This paper describes the architecture, design, analysis, and simulation and measurement results of the 3D-MAPS (3D massively parallel processor with stacked memory) chip built with a 1.5 V, 130 nm process technology and a two-tier 3D stacking technology using 1.2 \microm-diameter, 6 \micro m-height through-silicon vias (TSVs) and 3.4\nbsp\microm-diameter face-to-face bond pads. 3D-MAPS consists of a core tier containing 64 cores and a memory tier containing 64 memory blocks. Each core communicates with its dedicated 4KB SRAM block using face-to-face bond pads, which provide negligible data transfer delay between the core and the memory tiers. The maximum operating frequency is 277 MHz and the maximum memory bandwidth is 70.9 GB/s at 277 MHz. The peak measured memory bandwidth usage is 63.8 GB/s and the peak measured power is approximately 4 W based on eight parallel benchmarks.

Wearable devices are the most frequently used personal devices, in ail of wearable devices, the smart phones are the most popular and rapid development. The evolution of wearable devices such as smartphones will accelerate the development of Internet of Things (IoT). Furthermore, user can use the IoT services easily through the smartphone or wearing device. However, if the communication between the wearable device and other devices does not have enough access control and information protect, it may cause some problems, such as the data may be stolen and modified. In this paper, we presented an end-to-end authenticated key exchange agreement for wearable devices in IoT environments. The protocol can satisfy some properties of key exchange agreement and be used with wearable devices in IoT environments.

With the progress of information technology, the computer crimes are emerging in an endless stream. User's privacy should be protected. When a user submits a service request to a service provider, both should check the identity of each other and build a shared key to accomplish the service request. Furthermore, when a conference is held, the chairman must verify the identities of all participants. Afterwards, the chairman chooses a conference key and distributes it to legitimate participants. Besides, the participants should know who is in the conference. These manners prevent the malicious adversary from eavesdropping or impersonating to get some benefits. From mentioned above, we adopt identity-based cryptosystem and elliptic curve cryptosystem to propose a privacy-preserved conference key distribution protocol.

With the progress of information technology, thecomputer crimes are emerging in an endless stream. It is because of the user's privacy should be protected, when the user submit a service request to the service provider, both of them should check the identity of the other, and then build a shared key to accomplish the service request. In this paper, we adopt the identity-based cryptosystem and the elliptic curve cryptosystem to design a privacy-preserved key agreement with user authentication. This protocol can achieve several properties: mutual authentication, deniability, and forward secrecy. Besides, the performance of the proposed protocol based on RSA is better than previous studies.

The accuracy of rotor balancing is influenced by measuring errors essentially. The conventional influence coefficient method considering measurement errors is able to improve the balancing accuracy of symmetrical rotors. However, the balancing accuracy of asymmetrical rotors cannot be improved by using conventional method. Since asymmetrical rotors are axis-asymmetrical, the balancing result is affected by inequality of rotary inertia and bending rigidity. This study has presented a modified influence coefficient method for the determination of imbalance with the consideration of measurement errors based on the least-squares technique. The present method has derived theoretically and verified by the experiments of balancing a rotor kit.

In a single-server mobile network, authorized users can dynamically login to the server for requiring internet services or resources. A password authenticated key exchange protocol can be used to authenticate user's legitimacy and establish a secure communication between a user and his logon server by using his friendly memorized password. In generally, users can dynamically access internet resources and services from multiple servers via mobile networks. However, it is difficult for users and servers to easily and securely manage passwords and secret keys in multi-server mobile networks. This paper proposes a password authenticated key exchange protocol for multi-server mobile networks based on Chebyshev chaotic map. Properties of the proposed protocol are given below. (i) The user can easily memorize a single password to login different servers without the assistance of a trusted registration authority. (ii) The user can share distinct secret information with different servers, and hence a malicious server cannot use it to masquerade as the user to login the other server(s). (iii) It is secure against some potential attacks. (iv) An authenticated key shared between the user and the server can be established for securing their communications. (v) It can provide key confirmation for the shared session key. (vi) It can provide higher security assurance in generating secret keys.

Several recent works have demonstrated the benefits of through-silicon-via (TSV) based 3D integration [1–4], but none of them involves a fully functioning multicore processor and memory stacking. 3D-MAPS (3D Massively Parallel Processor with Stacked Memory) is a two-tier 3D IC, where the logic die consists of 64 general-purpose processor cores running at 277MHz, and the memory die contains 256KB SRAM (see Fig. 10.6.1). Fabrication is done using 130nm GlobalFoundries device technology and Tezzaron TSV and bonding technology. Packaging is done by Amkor. This processor contains 33M transistors, 50K TSVs, and 50K face-to-face connections in 5×5mm2 footprint. The chip runs at 1.5V and consumes up to 4W, resulting in 16W/cm2 power density. The core architecture is developed from scratch to benefit from single-cycle access to SRAM.

We describe the design and analysis of 3D-MAPS, a 64-core 3D-stacked memory-on-processor running at 277 MHz with 63 GB/s memory bandwidth, sent for fabrication using Tezzaron's 3D stacking technology. We also describe the design flow used to implement it using industrial 2D tools and custom add-ons to handle 3D specifics.