Multifactor Authentication Key Management System based Security Model Using Effective Handover Tunnel with IPV6

In the current modern world, the way of life style is being completely changed due to the emerging technologies which are reflected in treating the patients too. As there is a tremendous growth in population, the existing e-Healthcare methods are not efficient enough to deal with numerous medical data. There is a delay in caring of patient health as communication networks are poor in quality and moreover smart medical resources are lacking and hence severe causes are experienced in the health of patient. However, authentication is considered as a major challenge ensuring that the illegal participants are not permitted to access the medical data present in cloud. To provide security, the authentication factors required are smart card, password and biometrics. Several approaches based on these are authentication factors are presented for e-Health clouds so far. But mostly serious security defects are experienced with these protocols and even the computation and communication overheads are high. Thus, keeping in mind all these challenges, a novel Multifactor Key management-based authentication by Tunnel IPv6 (MKMA- TIPv6) protocol is introduced for e-Health cloud which prevents main attacks like user anonymity, guessing offline password, impersonation, and stealing smart cards. From the analysis, it is proved that this protocol is effective than the existing ones such as Pair Hand (PH), Linear Combination Authentication Protocol (LCAP), Robust Elliptic Curve Cryptography-based Three factor Authentication (RECCTA) in terms storage cost, Encryption time, Decryption time, computation cost, energy consumption and speed. Hence, the proposed MKMA- TIPv6 achieves 35bits of storage cost, 60sec of encryption time, 50sec decryption time, 45sec computational cost, 50% of energy consumption and 80% speed

Perceiving is Believing. Authentication with Behavioural and Cognitive Factors

Most computer users have experienced login problems such as, forgetting passwords, loosing token cards and authentication dongles, failing that complicated screen pattern once again, as well as, interaction difficulties in usability. Facing the difficulties of non-flexible strong authentication solutions, users tend to react with poor acceptance or to relax the assumed correct use of authentication procedures and devices, rendering the intended security useless. Biometrics can, sort of, solve some of those problems. However, despite the vast research, there is no perfect solution into designing a secure strong authentication procedure, falling into a trade off between intrusiveness, effectiveness, contextual adequacy and security guarantees. Taking advantage of new technology, recent research onmulti-modal, behavioural and cognitive oriented authentication proposals have sought to optimize trade off towards precision and convenience, reducing intrusiveness for the same amount of security. But these solutions also fall short with respect to different scenarios. Users perform currently multiple authentications everyday, through multiple devices, in panoply of different situations, involving different resources and diverse usage contexts, with no "better authentication solution" for all possible purposes. The proposed framework enhances the recent research in user authentication services with a broader view on the problems involving each solution, towards an usable secure authentication methodology combining and exploring the strengths of each method. It will than be used to prototype instances of new dynamic multifactor models (including novel models of behavioural and cognitive biometrics), materializing the PiB (perceiving is believing) authentication. Ultimately we show how the proposed framework can be smoothly integrated in applications and other authentication services and protocols, namely in the context of SSO Authentication Services and OAuth

Enterprise Systems Network: SecurID Solutions, the Authentication to Global Security Systems

Enterprise systems need reliable, flexible and secure means for making public and confidential information available to users in a secured and trusted manner. Although enterprise systems have variety of choice to authenticate these users, organizations face significant issues when granting access and providing a manageable structure for valuable access control. Logon functionalities such as user name and password algorithm have been used to grant authentication and authorization into enterprise systems network resources. Since most systems clients prefer the ease of using passwords, and since passwords are easily compromised, the urgency for a stronger authentication process becomes paramount. This study performed an internal evaluation of enterprise systems such as rating the effectiveness of a security platform as well as an external evaluation; i.e., analyzing how a security system is been rated by external entities. The study will examine correlations between system security best practices and reported or observed outcomes. The study concluded by evaluating the use of added protective layers to the two or multi-factor authentication security system

Enhanced Stegano-Cryptographic Model for Secure Electronic Voting

The issue of security in Information and Communication Technology has been identified as the most critical barrier in the widespread adoption of electronic voting (e-voting). Earlier cryptographic models for secure e-voting are vulnerable to attacks and existing stegano-cryptographic models can be manipulated by an eavesdropper. These shortcomings of existing models of secure e-voting are threats to confidentiality, integrity and verifiability of electronic ballot which are critical to overall success of e-democratic decision making through e-voting.This paper develops an enhanced stegano-cryptographic model for secure electronic voting system in poll-site, web and mobile voting scenarios for better citizens’ participation and credible e-democratic election. The electronic ballot was encrypted using Elliptic Curve Cryptography and Rivest-Sharma-Adleman cryptographic algorithm. The encrypted voter’s ballot was scattered and hidden in the Least Significant Bit (LSB) of the cover media using information hiding attribute of modified LSB-Wavelet steganographic algorithm. The image quality of the model, stego object was quantitatively assessed using Peak Signal to Noise Ratio (PSNR), Signal to Noise Ratio (SNR), Root Mean Square Error (RMSE) and Structural Similarity Index Metrics (SSIM).The results after quantitative performance evaluation shows that the developed stegano-cryptographic model has generic attribute of secured e-voting relevant for the delivery of credible e-democratic decision making. The large scale implementation of the model would be useful to deliver e-voting of high electoral integrity and political trustworthiness, where genuine e-elections are conducted for the populace by government authority. Keywords: Electronic Voting, Cryptography, Steganography, Video, Image, Wavelet, Securit

Airport Passenger Processing Technology: A Biometric Airport Journey

A passengers’ traveling journey throughout the airport is anything but simple. A passenger goes through numerous hoops and hurdles before safely boarding the aircraft. Many airports today are implementing isolated solutions for passenger processing. Some of these technologies include automated self-service kiosks and bag tag, self-service bag drop-off, along with automated self-service gates for boarding and border control. These solutions can be integrated with biometric systems to enhance passenger handling. This thesis analyzes the current passenger processing technology implemented at airports around the world and their associated challenges that passengers face. A new passenger processing technology called a biometric single token identification (ID) is presented as a solution to help alleviate current issues. By using a medium-sized international airport as a case study, the results show that a single token ID is beneficial to the time it takes to process a passenger. Furthermore, it demonstrates that implementation of a single token ID with self-service technology can provide enhanced passenger travel experience, improving operational process efficiency, all while ensuring safety and security

A secure near field communication (NFC)-enabled attendance on android mobile for higher education

Today, many universities evaluate the performance of students in a semester based on the student’s attendance to class to make sure that they do not miss out any important class.This lead to taking attendance system is an important issue in universities.In this work, a sensor based attendance system is proposed. This approach adopts sensing technology, which is Near Field Communication (NFC).Besides that, this system also includes face detection and recognition function to identify the person that taking attendance is currently being the owner of the NFC tag.This multi-factor identification system will be designed to cater the limitation of the conventional attendance system.The final results demonstrate that the proposed system thwart against replaying events leading to duplication s recording and cheating by legitimate and illegitimate users have due to the added randomization effect in generating sessions for each event recorded within the web-service database.The overall system provides an efficient, accurate and portability solution and work well for the real-life attendance environment within the university