The potential of information technology has influenced the efficiency and quality of healthcare worldwide. Currently, several republics are incorporating electronic health records (EHRs). Due to reluctance of technological adaptation & implementational complexities, electronic health record systems are not in practice. Due to the emphasis on achieving general compatibility, users may perceive systems as being imposed and providing insufficient customizability, which may exacerbate issues in a setting of national implementation. EHS improves patient safety and confidentiality and ensures operative, effective, well-timed, reasonable, and patient-centred care, all of which substantially impact healthcare quality. Blockchain technology has been used by the EHS system, which supports web-based accessibility and availability. The difficulties of exchanging medical data can now be overcome by consumers using an infrastructure based on cloud computing. A variety of cryptographic approaches have been employed to encrypt and safeguard the data. This review paper aims to highlight the role and impact of blockchain in EHR. The proposed research describes cryptography methods, their classifications, and the challenges associated with EHR to identify gaps and countermeasures.

Few years back the number of wireless devices and their use in our daily life has been increased a lot. All devices cell phones, laptops, tablets, camera, TVs, home appliances have become a part of network now. As the network devices are growing and getting connected to each other the security risks are getting higher. All the companies and organizations are now establishing and implanting the public and private wireless networks. Organization have to pay heavy cost to implement and integrate all devices together on a network. As wireless networks are more vulnerable to threats and in security's a huge network all the devices should be identified whenever they enter or leave a network traffic pool the experimental work in this paper will elaborate the methods to identify the network traffic identification under encryption. This paper emphases on identification of devices based on layer 2 functionality by MAC (Media Access Code). Later on, the identification was improved using labeled or tagged traffic methods by use of SPAN (Switch port analyzer technique) technology or protocol with assistance ofVirtual Local Area Network. Many Supervised learning methods were examined during experiment and were referenced on data collected by real time traffic. The network traffic of multiple deceives gradually passes through network so incremental learning method is implemented as classification for streaming data.

Nowadays COVID-19 is spreading everywhere which has badly affected the countries from social as well as economical perspectives. According to SOP people have to maintain social distancing, use face masks and avoid biometric devices for attendance in order to prevent the coronavirus. Several techniques have been developed in order to maintain the attendance in Covid-19 pandemic by considering the precautions to reduce the spread of coronavirus. This paper provides a review of the biometric techniques such as face recognition, palm recognition, face mask detection, face recognition, and iris detection techniques adopted in COVID-19 to maintain/mark attendance in organizations/institutes. However, the challenges of the Covid-19 techniques also are part of this paper that highlights the issues in current techniques. The prime focus of this study is to differentiate biometric methods for researchers or users to decide which tools are better for their requirements.