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Objectives: In this paper, an approach to online banking authorization using one-time passwords has been illustrated. Methods/Statistical Analysis: The algorithm presented in this paper provides an infinite as well as forward One-TimePassword (OTP) generation mechanism employing two Secure Hash Algorithms viz. SHA3 and SHA2, followed by dynamic truncation to produce human-readable OTP. An inimitable authentication scheme has been presented in which a unique initial seed is used for generating a series of OTPs on the user’s handheld gadget (i.e. a mobile phone). Findings: The proposed scheme demonstrated better results than the previous schemes of authorization after a security analysis was conducted on it. This is attributed to the eradication of cellular network within the authorization process. A high level of performance and efficiency in authentication and authorization was evident from the results that are vital for transacting online. Applications/Improvements: In the proposed system, the inherent features of the user’s device (mobile phone) are utilized to form the initial seed. The application of hash functions to that seed eliminates the necessity to send one time passwords to the users via Short Message Service and decreases the limitations posed by out-of-band systems, thus making it suitable to be employed in online banking and other financial organizations. Keywords: Authentication, Authorization, Out-of-band Authorization, Hash Functions

Objectives: In this paper, a smart Intrusion Detection System (IDS) has been proposed that detects network attacks in less time after monitoring incoming traffic thus maintaining better performance. Methods/Statistical Analysis: The features are extracted using back-propagation algorithm. Then, only these relevant features are trained with the help of multi-layer perceptron supervised neural network. The simulation is performed using MATLAB. Findings: The proposed system has been verified to have high accuracy rate, high sensitivity as well as a reduction in false positive rate. Besides, the intrusions have been classified into four categories as Denial-of-Service (DoS), User-to-root (U2R), Remote-to-Local (R2L) and Probe attacks; and the alerts are stored and shared via a central log. Thus, the unknown attacks detected by other Intrusion Detection Systems can be sensed by any IDS in the network thereby reducing computational cost as well as enhancing the overall detection rate. Applications/Improvements: The proposed system does not waste time by considering and analysing all the features but takes into consideration only relevant ones for the specific attack and supervised learning neural network is used for intrusion detection. By the application of Snort before backpropagation algorithm, the latter has only one function to perform – detection of unknown attacks. In this way, the time for attack detection is reduced. Keywords: Back-Propagation, Intrusion Detection System, Multi-Layer Feed-Forward Neural Network, Snort

Objectives: The goal of this paper is to comprehend the significance of adopting Cloud Computing (CC) in establishments of higher learning. This paper plots a portion of the advantages that can be conveyed to advanced education using cloud computing, analyzes probably the most imperative difficulties that can be faced by the academia due to its adoption, and proposes some early strides towards its adoption while alleviating the risks involved. Methods/Statistical Analysis: This paper recognizes an expansiveness of institutional variables and CC appropriation procedures by including the diverse perspectives of sources from various backgrounds and contexts on a single phenomenon. The different aids and contributions in this paper are based on the consolidation of research works available in various papers. Findings: The discoveries from this analysis demonstrate that the adoption of CC in establishments of higher learning can be comprehended through a few factors that have an essential impact on CC adoption methodologies like administrative bodies and governments, internal stakeholders, cloud suppliers, firm attributes, socio-political changes, IT framework, and so on. Applications/ Improvements: This investigation offers open doors for future research besides giving an understanding into how cloud suppliers, advisors, governments, and scholastics see several market requests, and how they react to these demands while advancing services offered by CC in higher learning institutions. The consequences for practice can help decision makers in adopting services provided by CC legitimately. Keywords: Cloud Based Education, Cloud Computing, Cloud Computing Adoption, Cloud Pedagogy

Objectives: This paper is aimed at investigating and increasing awareness about various concepts related to Electronic Payment Systems (EPS) including its advantages, challenges and security considerations. The proposed study also evaluates the adoption of e-payment systems and the resulting impact on economy of a nation. Methods/Statistical Analysis: In this paper, a comprehensive survey on all the aspects of electronic payment was conducted after analysis of several research studies on online payment systems. The most recent references and information have been explored in order to gain significant information about electronic payments systems. Findings: From the study conducted, it can be elucidated that despite various issues that usage of electronic payment systems pose, these are identified as a positive step towards the economic development of a nation. Nevertheless, its full potential can be realized only by raising its awareness among people. Applications/Improvements: With the advancement in technology and popularity of Internet, the perception of making online transactions is bound to gain momentum. In the future, the payment modes currently used and supported shall see a declining trend owing to the numerous benefits offered by electronic payment systems.