You are presented with multiple paper abstracts, alongside the associated literature review and chapter titles. Given the provided information, you are going to do a literature review. Please generate a coherent literature review that synthesizes the content, draws connections between different works, highlights major findings, and identifies any gaps in the existing research.

Literature Review Title: A Survey of Keystroke Dynamics Biometrics 
Chapter Title:  Multiple Biometric Modality Fusion. 
1. Abstract of Cited Paper (BIB001):  The analysis of keystroke dynamics (KD) is a developing biometric technique for user authentication. In computer security, its use is limited to some constraints such as longer typing and practice sessions. In this paper, a practical user authentication system is proposed that combines a conventional login/password method and a said biometric technique. The conventional password authentication method is enhanced through analysis of keystroke dynamics (KD) and click patterns (CP). In this way increased security level is achieved without using long and complicated passwords. For this, an application is developed to demonstrate the technique and the results are analyzed. user time signatures (TS) are identified after analyzing user KD and CP. Based on ability to follow their specific TS, users are categorized into beginner, standard and expert. At the time of login, the user inputs are matched with respective database records for authentication. 
2. Abstract of Cited Paper (BIB002):  We propose in this paper a low cost multimodal biometric system combining keystroke dynamics and 2D face recognition. The objective of the proposed system is to be used while keeping in mind: good performances, acceptability, and espect of privacy. Different fusion methods have been used (min, max, mul, svm, weighted sum configured with genetic algorithms, and, genetic programming) on the scores of three keystroke dynamics algorithms and two 2D face recognition ones. This multimodal biometric system improves the recognition rate in comparison with each individual method. On a chimeric database composed of 100 individuals, the best keystroke dynamics method obtains an EER of 8.77%, the best face recognition one has an EER of 6.38%, while the best proposed fusion system provides an EER of 2.22%.

Literature Review:
Keystroke dynamics may not be sufficient to be a sole authenticator due to the rather low accuracy as compared to established biometrics such as fingerprint and iris modality. Therefore, researchers have tried to combine multiple biometrics with the objective to make it harder for an intruder to spoof several biometric traits simultaneously. A multibiometrics application system has been proposed by BIB001 utilizing keystroke dynamics and fingerprint feature. Aside from a match fingerprint minutiae data, input pattern of PIN number must also correspond to a certain similarity, thus, doubling up the authentication criteria. On the other hand, BIB002 proposed the fusion of keystroke input and unique click pattern on a Knock Pad as authentication feature, which reduced the need of relying on long and complicated password. Experimental result by BIB003 suggested that the combination of keystroke dynamics and face recognition was able to obtain better result than employing each trait independently.