From the Publisher:
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; more than 200 tables and figures; more than 1,000 numbered definitions, facts, examples, notes, and remarks; and over 1,250 significant references, including brief comments on each paper.

Handbook of Applied Cryptography

Machine Learning is the study of methods for programming computers to learn. Computers are applied to a wide range of tasks, and for most of these it is relatively easy for programmers to design and implement the necessary software. However, there are many tasks for which this is difficult or impossible. These can be divided into four general categories. First, there are problems for which there exist no human experts. For example, in modern automated manufacturing facilities, there is a need to predict machine failures before they occur by analyzing sensor readings. Because the machines are new, there are no human experts who can be interviewed by a programmer to provide the knowledge necessary to build a computer system. A machine learning system can study recorded data and subsequent machine failures and learn prediction rules. Second, there are problems where human experts exist, but where they are unable to explain their expertise. This is the case in many perceptual tasks, such as speech recognition, hand-writing recognition, and natural language understanding. Virtually all humans exhibit expert-level abilities on these tasks, but none of them can describe the detailed steps that they follow as they perform them. Fortunately, humans can provide machines with examples of the inputs and correct outputs for these tasks, so machine learning algorithms can learn to map the inputs to the outputs. Third, there are problems where phenomena are changing rapidly. In finance, for example, people would like to predict the future behavior of the stock market, of consumer purchases, or of exchange rates. These behaviors change frequently, so that even if a programmer could construct a good predictive computer program, it would need to be rewritten frequently. A learning program can relieve the programmer of this burden by constantly modifying and tuning a set of learned prediction rules. Fourth, there are applications that need to be customized for each computer user separately. Consider, for example, a program to filter unwanted electronic mail messages. Different users will need different filters. It is unreasonable to expect each user to program his or her own rules, and it is infeasible to provide every user with a software engineer to keep the rules up-to-date. A machine learning system can learn which mail messages the user rejects and maintain the filtering rules automatically. Machine learning addresses many of the same research questions as the fields of statistics, data mining, and psychology, but with differences of emphasis. Statistics focuses on understanding the phenomena that have generated the data, often with the goal of testing different hypotheses about those phenomena. Data mining seeks to find patterns in the data that are understandable by people. Psychological studies of human learning aspire to understand the mechanisms underlying the various learning behaviors exhibited by people (concept learning, skill acquisition, strategy change, etc.).

Machine learning

So far in this course we have dealt entirely with the evolution of characters that are controlled by simple Mendelian inheritance at a single locus. There are notes on the course website about gametic disequilibrium and how allele frequencies change at two loci simultaneously, but we didn’t discuss them. In every example we’ve considered we’ve imagined that we could understand something about evolution by examining the evolution of a single gene. That’s the domain of classical population genetics. For the next few weeks we’re going to be exploring a field that’s actually older than classical population genetics, although the approach we’ll be taking to it involves the use of population genetic machinery. If you know a little about the history of evolutionary biology, you may know that after the rediscovery of Mendel’s work in 1900 there was a heated debate between the “biometricians” (e.g., Galton and Pearson) and the “Mendelians” (e.g., de Vries, Correns, Bateson, and Morgan). Biometricians asserted that the really important variation in evolution didn’t follow Mendelian rules. Height, weight, skin color, and similar traits seemed to

Human biochemical genetics

PROBLEM TO BE SOLVED: To solve the problem, wherein it is impossible for an electronic content information provider to provide commercially secure and effective method, for a configurable general-purpose electronic commercial transaction/distribution control system. SOLUTION: In this system, having at least one protected processing environment for safely controlling at least one portion of decoding of digital information, a secure content distribution method comprises a process for encapsulating digital information in one or more digital containers; a process for encrypting at least a portion of digital information; a process for associating at least partially secure control information for managing interactions with encrypted digital information and/or digital container; a process for delivering one or more digital containers to a digital information user; and a process for using a protected processing environment, for safely controlling at least a portion of the decoding of the digital information. COPYRIGHT: (C)2006,JPO&NCIPI

https://apps.dtic.mil/dtic/tr/fulltext/u2/a423264.pdf

Systems and Methods for Secure Transaction Management and Electronic Rights Protection

"Grid" computing has emerged as an important new field, distinguished from conventional distributed computing by its focus on large-scale resource sharing, innovative applications, and, in some cases, high performance orientation. In this article, the authors define this new field. First, they review the "Grid problem," which is defined as flexible, secure, coordinated resource sharing among dynamic collections of individuals, institutions, and resources--what is referred to as virtual organizations. In such settings, unique authentication, authorization, resource access, resource discovery, and other challenges are encountered. It is this class of problem that is addressed by Grid technologies. Next, the authors present an extensible and open Grid architecture, in which protocols, services, application programming interfaces, and software development kits are categorized according to their roles in enabling resource sharing. The authors describe requirements that they believe any such mechanisms must satisfy and discuss the importance of defining a compact set of intergrid protocols to enable interoperability among different Grid systems. Finally, the authors discuss how Grid technologies relate to other contemporary technologies, including enterprise integration, application service provider, storage service provider, and peer-to-peer computing. They maintain that Grid concepts and technologies complement and have much to contribute to these other approaches.

The Anatomy of the Grid: Enabling Scalable Virtual Organizations

In the Database-As-a-Service (DAS) model, clients store their database contents at servers belonging to potentially untrusted service providers. To maintain data confidentiality, clients need to outsource their data to servers in encrypted form. At the same time, clients must still be able to execute queries over encrypted data. One prominent and fairly effective technique for executing SQL-style range queries over encrypted data involves partitioning (or bucketization) of encrypted attributes.

However, executing aggregation-type queries over encrypted data is a notoriously difficult problem. One well-known cryptographic tool often utilized to support encrypted aggregation is homomorphic encryption; it enables arithmetic operations over encrypted data. One technique based on a specific homomorphic encryption function was recently proposed in the context of the DAS model. Unfortunately, as shown in this paper, this technique is insecure against ciphertext-only attacks. We propose a simple alternative for handling encrypted aggregation queries and describe its implementation. We also consider a different flavor of the DAS model which involves mixed databases, where some attributes are encrypted and some are left in the clear. We show how range queries can be executed in this model.

/pdf/aggregation-queries-in-the-database-as-a-service-model-4cvit15r12.pdf

Aggregation queries in the database-as-a-service model

This paper describes KryptoKnight, an authentication and key distribution system that provides facilities for secure communication in any type of network environment. KryptoKnight was designed with the goal of providing network security services with a high degree of compactness and flexibility. Message compactness of KryptoKnight's protocols allows it to secure communication protocols at any layer, without requiring any major protocol augmentations in order to accommodate security-related information. Moreover, since KryptoKnight avoids the use of bulk encryption it is easily exportable. Owing to its architectural flexibility, KryptoKnight functions at both endpoints of communication can perform different security tasks depending on the particular network configuration. These and other novel features make KryptoKnight an attractive solution for providing security services to existing applications irrespective of the protocol layer, network configuration or communication paradigm.

/pdf/kryptoknight-authentication-and-key-distribution-system-2027unpen0.pdf

KryptoKnight Authentication and Key Distribution System

Efficient Verifiable Ring Encryption for Ad Hoc Groups.- SKiMPy: A Simple Key Management Protocol for MANETs in Emergency and Rescue Operations.- Remote Software-Based Attestation for Wireless Sensors.- Spontaneous Cooperation in Multi-domain Sensor Networks.- Authenticated Queries in Sensor Networks.- Improving Sensor Network Security with Information Quality.- One-Time Sensors: A Novel Concept to Mitigate Node-Capture Attacks.- Randomized Grid Based Scheme for Wireless Sensor Network.- Influence of Falsified Position Data on Geographic Ad-Hoc Routing.- Provable Security of On-Demand Distance Vector Routing in Wireless Ad Hoc Networks.- Statistical Wormhole Detection in Sensor Networks.- RFID System with Fairness Within the Framework of Security and Privacy.- Scalable and Flexible Privacy Protection Scheme for RFID Systems.- RFID Authentication Protocol with Strong Resistance Against Traceability and Denial of Service Attacks.- Location Privacy in Bluetooth.- An Advanced Method for Joint Scalar Multiplications on Memory Constraint Devices.- Side Channel Attacks on Message Authentication Codes.

Security and privacy in ad-hoc and sensor networks : Second European Workshop, ESAS 2005, Visegrad, Hungary, July 13-14, 2005 : revised selected papers

In this paper, we present a general framework for evaluating the performance characteristics of block cipher structures composed of S-boxes and Maximum Distance Separable (MDS) mappings. In particular, we examine nested Substitution-Permutation Networks (SPNs) and Feistel networks with round functions composed of S-boxes and MDS mappings. Within each cipher structure, many cases are considered based on two types of S-boxes (i.e., 4×4 and 8×8) and parameterized MDS mappings. In our study of each case, the hardware complexity and performance are analyzed. Cipher security, in the form of resistance to differential, linear, and Square attacks, is used to determine the minimum number of rounds required for a particular parameterized structure. Because the discussed structures are similar to many existing ciphers (e.g., Rijndael, Camellia, Hierocrypt, and Anubis), the analysis provides a meaningful mechanism for seeking efficient ciphers through a wide comparison of performance, complexity, and security.

/pdf/simple-identity-based-cryptography-with-mediated-rsa-3jwhvledt0.pdf

Simple identity-based cryptography with mediated RSA

Database outsourcing is an important trend which involves data owners farming out their data management needs to an external service provider. One important requirement is to maintain the integrity and authenticity of outsourced data. Whenever an outsourced database is queried, the corresponding query reply must be demonstrably authentic. Furthermore, a reply must include a proof of completeness to convince the querier that no data matching the query predicate(s) has been omitted. In this paper, we suggest new techniques in support of efficient authenticity and completeness guarantees of such query replies.

Gene Tsudik

Papers

Aggregation queries in the database-as-a-service model

KryptoKnight Authentication and Key Distribution System

Security and privacy in ad-hoc and sensor networks : Second European Workshop, ESAS 2005, Visegrad, Hungary, July 13-14, 2005 : revised selected papers

Simple identity-based cryptography with mediated RSA

DSAC: integrity for outsourced databases with signature aggregation and chaining