Cryptography and security - future challenges and issues
Published 1 December 2007
Sanjay Burman
Citations43
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
A new approach called extreme outlier elimination and hybrid sampling technique, k reverse 'nearest neighbors (kRNNs) concept used as a data cleaning method for eliminating extreme outliers in minority regions is proposed.
Abstract
We live in an era of unimaginably rapidly advancing, amazing technologies that enable instantaneous flow of information – anytime, anywhere. The convergence of computers and networks has been the key force behind the development of these awe inspiring technologies. Increasing use of systems built using these Information Technologies (IT) is having a profound impact on our everyday lives. These technologies are becoming all pervasive and ubiquitous.
Keywords
Computer Science
Journal of Artificial Intelligence ResearchSMOTE: Synthetic Minority Over-sampling Technique
31,194 Citations2002Nitesh V. Chawla, Kevin W. Bowyer +2 more
A combination of the method of oversampling the minority (abnormal) class and under-sampling the majority class can achieve better classifier performance (in ROC space) and a combination of these methods and the area under the Receiver Operating Characteristic curve (AUC) and the ROC convex hull strategy is evaluated.
Elsevier eBooksData Mining: Practical Machine Learning Tools and Techniques
25,718 Citations2011Ian H. Witten, Eibe Frank
IEEE Transactions on Information TheoryNew directions in cryptography
14,441 Citations1976Whitfield Diffie, Martin E. Hellman
Choice Reviews OnlineHandbook of applied cryptography
10,469 Citations1997Menezes, Alfred J., Oorschot, Paul C. van +1 more
ACM SIGKDD Explorations NewsletterA study of the behavior of several methods for balancing machine learning training data
4,130 Citations2004Gustavo E. A. P. A. Batista, Ronaldo C. Prati +1 more
This work performs a broad experimental evaluation involving ten methods, three of them proposed by the authors, to deal with the class imbalance problem in thirteen UCI data sets, and shows that, in general, over-sampling methods provide more accurate results than under-sampled methods considering the area under the ROC curve (AUC).
Computer Law & Security ReportApplied cryptography: Protocols, algorithms, and source code in C
3,434 Citations1994Bruce Schneier
This document describes the construction of protocols and their uses, as well as some of the techniques used, in detail, in the implementation of these protocols.
Handbook of Applied Cryptography
2,878 Citations2010Alfred Menezes, Paul C. van Oorschot +1 more
A valuable reference for the novice as well as for the expert who needs a wider scope of coverage within the area of cryptography, this book provides easy and rapid access of information and includes more than 200 algorithms and protocols.
Addressing the Curse of Imbalanced Training Sets: One-Sided Selection.
2,171 Citations1997Miroslav Kubát, Stan Matwin
IEEE CSIT NewsletterProtection of information in computer systems
1,425 Citations1975Jerome H. Saltier, Michael P. Schroeder
An excellant technical survey of the mechanics of protecting computer-stored information from unauthorised use or modifications, with a focus on the conceptual framework necessary to enforce data security.
Journal of Artificial Intelligence ResearchImproved Heterogeneous Distance Functions
1,344 Citations1997D.R. Wilson, Tony Martinez
These new distance functions are designed to handle applications with nominal attributes, continuous attributes, or both and achieve higher classification accuracy on average than three previous distance functions on those datasets that have both nominal and continuous attributes.
Computational IntelligenceA Multiple Resampling Method for Learning from Imbalanced Data Sets
1,022 Citations2004Andrew Estabrooks, Taeho Jo +1 more
It is concluded that combining different expressions of the resampling approach is an effective solution to the tuning problem and the proposed combination scheme is evaluated on imbalanced subsets of the Reuters‐21578 text collection and is shown to be quite effective for these problems.
Data Mining and Knowledge DiscoveryAdaptive Fraud Detection
873 Citations1997Tom Fawcett, Foster Provost
This paper uses a rule-learning program to uncover indicators of fraudulent behavior from a large database of customer transactions, which are used to create a set of monitors, which profile legitimate customer behavior and indicate anomalies.
Data mining for direct marketing: problems and solutions
653 Citations1998Charles X. Ling, LI Cheng-hui
This paper discusses methods of coping with problems during data mining based on the experience on direct-marketing projects using data mining, and suggests a simple yet effective way of evaluating learning methods.
Practical Cryptography
648 Citations2003Niels Ferguson, Bruce Schneier
Practical Cryptography is the first hands-on cryptographic product implementation guide, bridging the gap between cryptographic theory and real-world cryptographic applications.
Cost-based modeling for fraud and intrusion detection: results from the JAM project
606 Citations2002Salvatore J. Stolfo, Wei Fan +3 more
There is clear evidence that state-of-the-art commercial fraud detection systems can be substantially improved in stopping losses due to fraud by combining multiple models of fraudulent transaction shared among banks.
IEEE Intelligent Systems and their ApplicationsDistributed data mining in credit card fraud detection
538 Citations1999Philip K. Chan, Wei Fan +2 more
The proposed methods of combining multiple learned fraud detectors under a "cost model" are general and demonstrably useful; the empirical results demonstrate that they can significantly reduce loss due to fraud through distributed data mining of fraud models.
ACM SIGKDD Explorations NewsletterMinority report in fraud detection
448 Citations2004Clifton Phua, Damminda Alahakoon +1 more
This paper compares the new fraud detection method (meta-learning approach) against C4.5 trained using undersampling, oversamplings, and SMOTEing without partitioning, and shows that, given a fixed decision threshold and cost matrix, the partitioning and multiple algorithms approach achieves marginally higher cost savings than varying the entire training data set with different class distributions.
Neural data mining for credit card fraud detection
357 Citations2003Rüdiger Brause, T. Langsdorf +1 more
This paper shows how advanced data mining techniques and a neural network algorithm can be combined successfully to obtain a high fraud coverage combined with a low false alarm rate.
JAM: java agents for meta-learning over distributed databases
287 Citations1997Salvatore J. Stolfo, Andreas L. Prodromidis +4 more
The overall architecture of the JAM system is described and the specific implementation currently under development at Columbia University is described, one of JAM's target applications is fraud and intrusion detection in financial information systems.
Why cryptosystems fail
227 Citations1993Ross Anderson
It turns out that the threat model commonly used by cryptosystem designers was wrong: most frauds were not caused by cryptanalysis or other technical attacks, but by implementation errors and management failures, suggesting that a paradigm shift is overdue in computer security.
Credit Card Fraud Detection Using Meta-Learning: Issues and Initial Results 1
191 Citations1997Salvatore J. Stolfo, David W. Fan +3 more
It is argued that, for the fraud detection domain, fraud catching rate and false alarm rate are better metrics than the overall accuracy when evaluating the learned fraud classifiers, and that given a skewed distribution in the original data, artificially more balanced training data leads to better classifiers.
IEEE Security & PrivacyKnowledge for Software Security
62 Citations2005Sean Barnum, Gary McGraw
These are the kinds of security knowledge that can provide a solid foundation for software security practices and play a central role in encapsulating and spreading the emerging discipline more efficiently.
Attacking the IPsec Standards in Encryption-only Configurations
56 Citations2007Jean Paul Degabriele, Kenneth G. Paterson
New attacks which break any RFC- compliant implementation of IPsec making use of encryption-only ESP in tunnel mode are described, which are ciphertext-only and need only the capability to eavesdrop on ESP-encrypted traffic and to inject traffic into the network.
arXiv (Cornell University)Improved Heterogeneous Distance Functions
55 Citations1997D.R. Wilson, Tony Martinez
ProceedingsA Simple Yet Effective Data Clustering Algorithm
51 Citations2006Soujanya Vadapalli, Satyanarayana R. Valluri +1 more
The experimental results with published datasets, synthetic and real-life datasets show that RECORD not only handles noisy data, but also identifies the relevant clusters.
IEEE Security & PrivacyDoes Trusted Computing Remedy Computer Security Problems?
40 Citations2005Rolf Oppliger, Ruedi Rytz
It is argued that although trusted computing has some merits, it neither provides a complete remedy nor is it likely to prevail in the PC mass market.
IFIP advances in information and communication technologyDigital Signatures and Electronic Documents: A Cautionary Tale
34 Citations2002K. Kain, Sean W. Smith +1 more
The space of such attacks is examined, and how many popular electronic document formats and PKI packages permit them are described, to help understand how to defend against such attacks.
IEEE Security & PrivacyFairy dust, secrets, and the real world [computer security]
23 Citations2003Sean W. Smith
In the long term, this work hopes for either a quantum leap in physically defensible technology-or a significant reduction in the properties that designs force us to assume about the authors' computers.
A failure to learn from the past
18 Citations2004Eugene H. Spafford
A brief chronology of both the spread and eradication of the program, a presentation about how the program worked, and details of the aftermath are provided, which supports the title-that the community has failed to learn from the past.
IEEE Security & PrivacyTeaching students to design secure systems
12 Citations2003James Davis, Melissa Dark
This article looks more closely at determining an appropriate scope and sequence for information assurance (IA) and briefly describes a project whose goal is the articulation of an IA curriculum.