Semantic web
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- The document discusses the limitations of Web 2.0 and introduces the concept of Semantic Web or Web 3.0 as a way to address those limitations. - In Semantic Web, everything on the web will have a URI and be represented as subject-predicate-object triples to encode the semantics and meaning of information. - This will allow machines to understand the meaning of web pages and information, leading to benefits like more effective searching and connections between information.
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The document reports on a project comparing the performance of Hadoop MapReduce and Spark in-memory frameworks for big data processing. The authors analyzed execution times for running a PageRank benchmark on various datasets using each framework. They found that Spark performed better for smaller datasets with multiple iterations due to its in-memory caching. However, for larger datasets MapReduce was more efficient due to Spark's memory requirements not being met by the cluster configuration.
Enumerated authorization policy ABAC (EP-ABAC) model
This presentation discuss logical formula and enumerated authorization policy. It further provides a enumerated authorization policy Attribute Based Access Control model.
Where is my Privacy presentation slideshow (one page only)
Privacy is a growing concern as technology advances. The author questions where privacy now stands with increasing data collection and sharing online. In just 3 sentences, the document title and author are identified to provide context for the high-level topic and question being raised regarding privacy in today's digital age.
Three month course
The document outlines a 3 month extended course covering Windows, MS Word, and the Internet/Web. The Windows course consists of 4 classes covering basic Windows concepts, the Control Panel, program installation/uninstallation, and recommended programs. The MS Word course has 4 classes teaching typing, formatting, tables, and images. The Internet/Web course includes 4 classes on web browsing, email with Gmail, social media like Facebook and Twitter, and blogging with Wordpress.
Security_of_openstack_keystone
This document summarizes two experiments on testing the security of Keystone, the authentication module of OpenStack. The first experiment examines Keystone's resiliency to DDoS attacks by monitoring processing time and resource usage under simulated attacks. The second analyzes the randomness of generated tokens by generating a large number of tokens and analyzing their uniqueness. Challenges mentioned include incomplete documentation of Keystone.
Research seminar group_1_prosunjit
This document discusses tools and methods for research including critical thinking, deductive and inductive reasoning, the scientific method, theory building, and collaboration. It covers six key tools of research: the library, computer technology, measurement, statistics, language, and the human mind. Reasoning tools covered are critical thinking, deductive logic, inductive reasoning, and the scientific method. Theory building involves observing, organizing, finding correlations, creating hypotheses, and justifying and building models. The scientific method is used to investigate phenomena and acquire new knowledge. Collaboration is important for going far in research and involves working with individuals, groups, industry, and institutions through internships, fellowships and grants.
Ksi
Keyless Signature Infrastructure (KSI) provides data integrity, timestamping, and verification without public/private keys. It works by having a service calculate hashes of data stored in the cloud each second and publish the hashes in a calendar database and newspaper. To check integrity later, one compares the stored hash value to the current one. However, simultaneous updates may go undetected, and an attacker could theoretically alter data and forge the published record if they compromised the cloud, hashing service, and newspaper. KSI aims to make public key infrastructure key management more efficient but has high computational costs for large datasets.
Attribute Based Encryption
The document discusses several cryptographic techniques including public key infrastructure (PKI), identity-based encryption (IDE), fuzzy identity-based encryption (Fuzzy-IDE), attribute-based encryption (ABE), and hierarchical attribute-based encryption (HABE). It compares how these techniques handle key distribution and management, encryption, and decryption using user identities and attributes. The document also discusses variants of ABE including key-policy vs ciphertext-policy, and monotonic vs non-monotonic access structures.
Final Project Transciption Factor DNA binding Prediction
The document discusses different approaches for transcription factor-DNA binding prediction including k-mer based models using fixed-length k-mers, k-mers with mismatches, and regular expressions, as well as PWM based models using MEME and MAST. It evaluates various classifiers and tuning parameters such as k-mer length and number of attributes on different datasets, finding that classifier choice, k-mer length, and attribute selection all impact accuracy. Additional work was done on one dataset to build a new combined k-mer and PWM model.
Cyber Security Exam 2
The document discusses covert channels and side channels. It defines covert channels as communication channels that were not intended for information transfer, while side channels leak implementation details. It notes covert channels may require cooperation while side channels do not. The document also discusses how protection models can convert a side channel to a covert channel, or vice versa, by changing the scope of the model.
Transcription Factor DNA Binding Prediction
The document discusses different approaches for transcription factor-DNA binding prediction including k-mer based models using fixed-length k-mers, k-mers with mismatches, and regular expressions, as well as PWM based models using MEME and MAST. It evaluates various classifiers and tuning parameters such as k-mer length and number of attributes on different datasets, finding that classifier choice, k-mer length, and attribute selection all impact accuracy. Additional work was done on one dataset to build a new combined k-mer and PWM model.
More from UT, San Antonio (20)
Big Data Processing: Performance Gain Through In-Memory Computation
Big Data Processing: Performance Gain Through In-Memory Computation
Enumerated authorization policy ABAC (EP-ABAC) model
Enumerated authorization policy ABAC (EP-ABAC) model
Where is my Privacy presentation slideshow (one page only)
Where is my Privacy presentation slideshow (one page only)
Final Project Transciption Factor DNA binding Prediction
Final Project Transciption Factor DNA binding Prediction
Semantic web
- 1. Semantic Web Presented By: Prosunjit Biswas System Developer, Cention AB Email:Prosun.csedu@gmail.com
- 21. Learning that Jane’s Name is Jane McJanerSon Semantic Web Open Source Software with South-East University, Dhaka.
- 22. Learning that Jane’s Name is Jane McJanerSon and he is a person Semantic Web Open Source Software with South-East University, Dhaka.
- 23. Learning both Jane & Mac Semantic Web Open Source Software with South-East University, Dhaka.
- 24. Learning Jane knows Mac Semantic Web Open Source Software with South-East University, Dhaka.
Editor's Notes
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