Biometrics Technologies Implementation in Internet Banking Reduce Security Issues?

AbstractInformation security is a great concern to computer users, which is not only a technical problem, but also related to human factors. One of the main issues in Malaysia related to Internet banking is the weak security in Internet banking application. Therefore this study will investigate further the solution to enhance the security issues in Internet banking implementation. In today s high speed world, millions of transactions occur every minute. For these transactions, data need to be readily available for the genuine people who want to have access, and it must be kept securely from imposters. There are three basic approaches to the verification of an individual s identity: something you have (e.g. Debit card), something you know (e.g. password, PIN) and something you are (e.g. fingerprint), which is unique about yourself and cannot be shared. Moreover, the benefits of investigating biometric authentication systems in online banking will secure the log in process to the system and removes password vulnerabilities; enhanced convenience such as employees quickly log in using their finger; reduced help desk costs by eliminating calls for password resets. Many systems utilize a combination of these methods in order to increase the level of security. Thus, a possible option is to introduce biometric authentication

A survey on machine learning-based performance improvement of wireless networks: PHY, MAC and network layer

This paper presents a systematic and comprehensive survey that reviews the latest research efforts focused on machine learning (ML) based performance improvement of wireless networks, while considering all layers of the protocol stack: PHY,MAC and network. First, the related work and paper contributions are discussed, followed by providing the necessary background on data-driven approaches and machine learning to help non-machine learning experts understand all discussed techniques. Then, a comprehensive review is presented on works employing ML-based approaches to optimize the wireless communication parameters settings to achieve improved network quality-ofservice (QoS) and quality-of-experience (QoE).We first categorize these works into: radio analysis, MAC analysis and network prediction approaches, followed by subcategories within each. Finally, open challenges and broader perspectives are discussed.Circuits and System