Lancaster University

About: Lancaster University is a education organization based out in Lancaster, Lancashire, United Kingdom. It is known for research contribution in the topics: Population & Context (language use). The organization has 13080 authors who have published 44563 publications receiving 1692277 citations. The organization is also known as: The University of Lancaster & Lancaster University.

Targeted Online Password Guessing: An Underestimated Threat

Abstract: While trawling online/offline password guessing has been intensively studied, only a few studies have examined targeted online guessing, where an attacker guesses a specific victim's password for a service, by exploiting the victim's personal information such as one sister password leaked from her another account and some personally identifiable information (PII). A key challenge for targeted online guessing is to choose the most effective password candidates, while the number of guess attempts allowed by a server's lockout or throttling mechanisms is typically very small. We propose TarGuess, a framework that systematically characterizes typical targeted guessing scenarios with seven sound mathematical models, each of which is based on varied kinds of data available to an attacker. These models allow us to design novel and efficient guessing algorithms. Extensive experiments on 10 large real-world password datasets show the effectiveness of TarGuess. Particularly, TarGuess I~IV capture the four most representative scenarios and within 100 guesses: (1) TarGuess-I outperforms its foremost counterpart by 142% against security-savvy users and by 46% against normal users; (2) TarGuess-II outperforms its foremost counterpart by 169% on security-savvy users and by 72% against normal users; and (3) Both TarGuess-III and IV gain success rates over 73% against normal users and over 32% against security-savvy users. TarGuess-III and IV, for the first time, address the issue of cross-site online guessing when given the victim's one sister password and some PII.

Modernism, Post Modernism and Organizational Analysis 3: The Contribution of Jacques Derrida:

Abstract: This paper, the third in a series on the relevance of the modernist-post modernist debate to organizational analysis (Cooper and Burrell 1988, Burrell 1988), examines the work of Jacques Derrida. Specifically, Derrida's work is viewed as a contribution to the analysis of process (as opposed to structure) in social systems. In this context, three interrelated themes of his work - deconstruction, writing, 'difference' — are described in some detail and their implications explored for social and organizational analysis. Derrida's account of the logic of writing shows it to be fundamental to the division of labour and therefore to significant dimensions (complexity, formalization) of formal organization. Since 'organization theuries' are themselves products of writing and the division of labour, their essential function is to explain and justify the structures they represent, they are therefore more concerned with maintaining their own consistency and the stability of the organized world they describe rather ...

Performing ‘Initial Assessment’: Identifying the Latent Conditions for Error at the Front-Door of Local Authority Children's Services

Abstract: This article draws attention to the faulty design elements at the front-door of children's local authority services, arguing that current attempts to increase safety, through the formalization of organizational procedures and their enactment by IT systems, may have had the contrary effect. We argue that the analysis of errors in organizational settings should focus on immanent systemic weaknesses, particularly the ‘latent conditions’ for error that generally increase the risk of failure. Reporting the findings from a two-year ESRC-funded ethnographic study, and examining the local adaptations of practice arising in the performance context of the ‘modernized’ front-door of children's services, we draw attention to the short-cuts that the current configuration of the initial assessment system appears to necessitate, given the immutable timescales and excessive audit requirements. New modes of governance can clearly play a central role in error management, but the design of an effective system needs to be based on the needs of users and on a thorough understanding of their working practices.

Enhancing Differential Evolution Utilizing Proximity-Based Mutation Operators

Abstract: Differential evolution is a very popular optimization algorithm and considerable research has been devoted to the development of efficient search operators. Motivated by the different manner in which various search operators behave, we propose a novel framework based on the proximity characteristics among the individual solutions as they evolve. Our framework incorporates information of neighboring individuals, in an attempt to efficiently guide the evolution of the population toward the global optimum, without sacrificing the search capabilities of the algorithm. More specifically, the random selection of parents during mutation is modified, by assigning to each individual a probability of selection that is inversely proportional to its distance from the mutated individual. The proposed framework can be applied to any mutation strategy with minimal changes. In this paper, we incorporate this framework in the original differential evolution algorithm, as well as other recently proposed differential evolution variants. Through an extensive experimental study, we show that the proposed framework results in enhanced performance for the majority of the benchmark problems studied.