An overview of security and privacy in smart cities' IoT communications

Al‐Turjman, Fadi; Zahmatkesh, Hadi; Shahroze, Ramiz

doi:10.1002/ett.3677

Cited by 195 publications

(108 citation statements)

References 116 publications

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“…However, at the present stage of the research, this system cannot be applied for multiple subjects. In future research, we hope to complete the work of applying the system for multiple subjects and find its application in other important fields [26], [32].…”

Section: Discussionmentioning

confidence: 99%

“…Instead, the device performs the detection function only in a passive manner using a common commercial wireless device. More importantly, this technology can effectively protect personal privacy [26]. Moreover, the technology is not affected by light conditions and has no blind spots, can usually work in line of sight (LOS) and non-line of sight (NLOS) environments and is non-invasive, robust.…”

Section: Wireless Channel Informationmentioning

confidence: 99%

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Activity Pattern Mining for Healthcare

et al. 2020

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Cerebellar Ataxia (CA) is a neurological disease with the symptom of poor coordination of movement and balance disorders. In clinical medicine, the heel-knee-shin test and the rapid alternating movements test are important basis for assessing CA. Based on the above tests, this paper presents a non-contact method and investigates the feasibility of this method for detecting CA. This body sensor networks uses wireless devices operating in the C-band frequency range to capture data of both types of tests without intrusiveness. The obtained data of tests contains massive useful information about human health which is really significant to subjects. But the information can be so subtle that people ignore the value hidden in it. So utility pattern mining (UPM) is used for the purpose of mining subjects' activity pattern. We find that the subjects' activity pattern differs greatly in amplitude information. We extracted the amplitude information that is helpful for analyzing the test' results to determine whether the test is positive or negative. Then we use different kind of algorithms to classify the data samples. Among them, support vector machine (SVM) has the best classification effect on both tests. In the heel-knee-shin test, the coincidence rate (π) is 98.7%, the sensitivity (Se) is 98.9% and the specificity (Sp) is 98.5%. In the rapid alternating movements test, the π is 99.4%, Se is 99.8% and Sp is 99%. The experimental results show that this technique has the potential to open up new clinical opportunities for contactless and accurate CA monitoring in a patient-friendly and flexible environment. INDEX TERMS Cerebellar Ataxia, body sensor networks, C-band, pattern mining.

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Section: Discussionmentioning

confidence: 99%

Section: Wireless Channel Informationmentioning

confidence: 99%

Activity Pattern Mining for Healthcare

et al. 2020

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“…The advantages of RF include: the resistance to over fitting, stability, etc. It is also worth mentioning that some other advanced machine learning approaches have also been used in the various healthcare and Internet of Things applications [34][35][36][37][38][39][40], which also indicate the path of future research.…”

Section: Training Modelmentioning

confidence: 99%

Transient ischemic attack analysis through non-contact approaches

Zhang

Al‐Turjman³

et al. 2020

Hum. Cent. Comput. Inf. Sci.

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IntroductionTransient ischemic attack (TIA) is a transient neurological disorder caused by focal ischemia of the brain or retina without acute infarction. The clinical symptoms usually last less than 1 hour and the neurological function can return to normal after the onset [1]. TIA is characterized by sudden onset, short duration and high frequency of attack. Currently, the causes of TIA are generally recognized by the medical community as follows :(1) Embolus in arterial blood flows into the brain, resulting in blockage and poor circulation of blood. (2) When blood pressure fluctuates, especially when blood pressure drops, the blood flow in the distal part of the brain's smaller blood vessels decreases. (3) Changes in blood composition cause blood clots to form in blood vessels, which can block blood vessels in the brain [2] [3]. Relevant clinical experimental data show that TIA has an early warning effect on stroke. After TIA, the incidence of AbstractThe transient ischemic attack (TIA) is a kind of sudden disease, which has the characteristics of short duration and high frequency. Since most patients can return to normal after the onset of the disease, it is often neglected. Medical research has proved that patients are prone to stroke in a relatively short time after the transient ischemic attacks. Therefore, it is extremely important to effectively monitor transient ischemic attack, especially for elderly people living alone. At present, video monitoring and wearing sensors are generally used to monitor transient ischemic attacks, but these methods have certain disadvantages. In order to more conveniently and accurately monitor transient ischemic attack in the indoor environment and improve risk management of stroke, this paper uses a microwave sensing platform working in C-Band (4.0 GHz-8.0 GHz) to monitor in a non-contact way. The platform first collects data, then preprocesses the data, and finally uses principal component analysis to reduce the dimension of the data. Two machine learning algorithms support vector machine (SVM) and random forest (RF) are used to establish prediction models respectively. The experimental results show that the accuracy of SVM and RF approaches are 97.3% and 98.7%, respectively; indicating that the scheme described in this paper is feasible and reliable.

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“…To our best knowledge, no much work has been done on MPTCP security. The network security is an important issue in network communication 24‐26 . Since the MPTCP uses multiple paths, it opens many doors to an adversary get into its session.…”

Section: Introductionmentioning

confidence: 99%

Multipath TCP security over different attacks

Chaturvedi

Chand

2020

Trans Emerging Tel Tech

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Due to the increasing demand for bandwidth and availability of multi‐homed devices, the Multipath TCP (MPTCP) is an emerging protocol that uses multiple paths simultaneously to transfer the data, seamlessly utilizing their bandwidth. The security is an important issue in a system especially the communication network system. Since there are multiple paths in MPTCP, it has many doors open to an adversary especially at the time of connection initiation. These attacks include the man‐in‐the‐middle attack (MM), denial‐of‐service (DOS) attack, and SYN flooding attack. This article proposes a new opportunistic security protocol, named as secure connection multipath TCP (SCMTCP), that uses the elliptic curve cryptography to generate the secret key. It also uses a third‐party certificate authority to ensure the authenticity of public keys exchanged between the communicating parties. The SCMTCP generates a session key at the time of initial handshake (with MP_CAPABLE option) and protects the MPTCP from the man‐in‐the‐middle attack. It generates a unique authentication key for each new subflow within the host using the session key to authenticate them and protects the MPTCP from DoS and SYN flooding attacks. This article analyzes the security complexity of the SCMTCP using the random oracle model and shows that it is not possible for an attacker to get any security key and breaks the MPTCP security.

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An overview of security and privacy in smart cities' IoT communications

Cited by 195 publications

References 116 publications

Activity Pattern Mining for Healthcare

Activity Pattern Mining for Healthcare

Transient ischemic attack analysis through non-contact approaches

Multipath TCP security over different attacks

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