How to distinguish the app was repackaged or not?
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The document compares three Android app samples and analyzes differences between their code, manifests, and other files. Sample 1 contains original code, Sample 2's code was not modified, and Sample 3's code was modified. The analysis examines differences in files between Sample 1 and Samples 2/3 at multiple stages of decompilation and extraction.
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COMM 166 Final Research Proposal GuidelinesThe proposal should.docx
COMM 166 Final Research Proposal Guidelines
The proposal should contain well-developed sections (Put clear titles on the top of each section) of your outline that you submitted earlier. The proposal should have seven (7) major sections:
1. Introduction: A brief overview of all your sections. Approx. one page
2. A summary of the literature review. In this section you would summarize the previous research (summarize at least 8-10 scholarly research articles), and also your field data collection results (if it was connected to your proposal topic). Also indicate the gaps in the previous research, including your pilot study, and the need for your research study. Please devote around three pages in reviewing the previous research and finding the gaps.
3. Arising from the literature review, write the Purpose Statement of your research (purpose statement should have all its parts clearly written. Follow the examples from textbook).
4. Identify two to three main hypotheses or research questions (based on the quantitative/qualitative research design). Also give some of your supporting research questions. Follow the examples from textbook.
5. Describe the research strategy of inquiry and methods that you would use and why. The method part should be the substantial part of your paper, around three pages. Define your knowledge claims, strategies, and methods from the textbook (and cite), why you chose them, and how you will conduct the research in detail.
6. A page on the significance of your study.
7. A complete reference list of your sources in APA style.
The total length of the paper should be between 8-10 pages (excluding the reference and cover pages).
If you have further questions, please do not hesitate to contact me.
Best wishes
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mportant notes about grading:
1. Compiler errors: All code you submit must compile. Programs that do not compile will receive an automatic zero. If you run out of time, it is better to comment out the parts that do not compile, than hand in a more complete file that does not compile.
2. Late assignments: You must submit your code before the deadline. Verify on Sakai that you have submitted the correct version. If you submit the incorrect version before the deadline and realize that you have done so after the deadline, we will only grade the version received before the deadline.
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If you want to implement the project in Python, download the source code and follow the README file. Parsing functions and test-cases are provided.
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Your main task is to implement the non-deterministic abstract interpreter covered in the lecture Control in Prolog. The pseudocode of the abstract interpreter is in the lecture note.
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COMM 166 Final Research Proposal GuidelinesThe proposal should.docx
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The proposal should contain well-developed sections (Put clear titles on the top of each section) of your outline that you submitted earlier. The proposal should have seven (7) major sections:
1. Introduction: A brief overview of all your sections. Approx. one page
2. A summary of the literature review. In this section you would summarize the previous research (summarize at least 8-10 scholarly research articles), and also your field data collection results (if it was connected to your proposal topic). Also indicate the gaps in the previous research, including your pilot study, and the need for your research study. Please devote around three pages in reviewing the previous research and finding the gaps.
3. Arising from the literature review, write the Purpose Statement of your research (purpose statement should have all its parts clearly written. Follow the examples from textbook).
4. Identify two to three main hypotheses or research questions (based on the quantitative/qualitative research design). Also give some of your supporting research questions. Follow the examples from textbook.
5. Describe the research strategy of inquiry and methods that you would use and why. The method part should be the substantial part of your paper, around three pages. Define your knowledge claims, strategies, and methods from the textbook (and cite), why you chose them, and how you will conduct the research in detail.
6. A page on the significance of your study.
7. A complete reference list of your sources in APA style.
The total length of the paper should be between 8-10 pages (excluding the reference and cover pages).
If you have further questions, please do not hesitate to contact me.
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mportant notes about grading:
1. Compiler errors: All code you submit must compile. Programs that do not compile will receive an automatic zero. If you run out of time, it is better to comment out the parts that do not compile, than hand in a more complete file that does not compile.
2. Late assignments: You must submit your code before the deadline. Verify on Sakai that you have submitted the correct version. If you submit the incorrect version before the deadline and realize that you have done so after the deadline, we will only grade the version received before the deadline.
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COMM 166 Final Research Proposal GuidelinesThe proposal should.docx
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The proposal should contain well-developed sections (Put clear titles on the top of each section) of your outline that you submitted earlier. The proposal should have seven (7) major sections:
1. Introduction: A brief overview of all your sections. Approx. one page
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3. Arising from the literature review, write the Purpose Statement of your research (purpose statement should have all its parts clearly written. Follow the examples from textbook).
4. Identify two to three main hypotheses or research questions (based on the quantitative/qualitative research design). Also give some of your supporting research questions. Follow the examples from textbook.
5. Describe the research strategy of inquiry and methods that you would use and why. The method part should be the substantial part of your paper, around three pages. Define your knowledge claims, strategies, and methods from the textbook (and cite), why you chose them, and how you will conduct the research in detail.
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7. A complete reference list of your sources in APA style.
The total length of the paper should be between 8-10 pages (excluding the reference and cover pages).
If you have further questions, please do not hesitate to contact me.
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mportant notes about grading:
1. Compiler errors: All code you submit must compile. Programs that do not compile will receive an automatic zero. If you run out of time, it is better to comment out the parts that do not compile, than hand in a more complete file that does not compile.
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The proposal should contain well-developed sections (Put clear titles on the top of each section) of your outline that you submitted earlier. The proposal should have seven (7) major sections:
1. Introduction: A brief overview of all your sections. Approx. one page
2. A summary of the literature review. In this section you would summarize the previous research (summarize at least 8-10 scholarly research articles), and also your field data collection results (if it was connected to your proposal topic). Also indicate the gaps in the previous research, including your pilot study, and the need for your research study. Please devote around three pages in reviewing the previous research and finding the gaps.
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4. Identify two to three main hypotheses or research questions (based on the quantitative/qualitative research design). Also give some of your supporting research questions. Follow the examples from textbook.
5. Describe the research strategy of inquiry and methods that you would use and why. The method part should be the substantial part of your paper, around three pages. Define your knowledge claims, strategies, and methods from the textbook (and cite), why you chose them, and how you will conduct the research in detail.
6. A page on the significance of your study.
7. A complete reference list of your sources in APA style.
The total length of the paper should be between 8-10 pages (excluding the reference and cover pages).
If you have further questions, please do not hesitate to contact me.
Best wishes
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mportant notes about grading:
1. Compiler errors: All code you submit must compile. Programs that do not compile will receive an automatic zero. If you run out of time, it is better to comment out the parts that do not compile, than hand in a more complete file that does not compile.
2. Late assignments: You must submit your code before the deadline. Verify on Sakai that you have submitted the correct version. If you submit the incorrect version before the deadline and realize that you have done so after the deadline, we will only grade the version received before the deadline.
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If you want to implement the project in Python, download the source code and follow the README file. Parsing functions and test-cases are provided.
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Your main task is to implement the non-deterministic abstract interpreter covered in the lecture Control in Prolog. The pseudocode of the abstract interpreter is in the lecture note.
Bonus
There is also a bonus task for implementing a deterministic Prolog interpreter with support for backtracking (recover from bad choices) and choice points (produce multiple results). Please refer to th.
COMM 166 Final Research Proposal GuidelinesThe proposal should.docx
COMM 166 Final Research Proposal Guidelines
The proposal should contain well-developed sections (Put clear titles on the top of each section) of your outline that you submitted earlier. The proposal should have seven (7) major sections:
1. Introduction: A brief overview of all your sections. Approx. one page
2. A summary of the literature review. In this section you would summarize the previous research (summarize at least 8-10 scholarly research articles), and also your field data collection results (if it was connected to your proposal topic). Also indicate the gaps in the previous research, including your pilot study, and the need for your research study. Please devote around three pages in reviewing the previous research and finding the gaps.
3. Arising from the literature review, write the Purpose Statement of your research (purpose statement should have all its parts clearly written. Follow the examples from textbook).
4. Identify two to three main hypotheses or research questions (based on the quantitative/qualitative research design). Also give some of your supporting research questions. Follow the examples from textbook.
5. Describe the research strategy of inquiry and methods that you would use and why. The method part should be the substantial part of your paper, around three pages. Define your knowledge claims, strategies, and methods from the textbook (and cite), why you chose them, and how you will conduct the research in detail.
6. A page on the significance of your study.
7. A complete reference list of your sources in APA style.
The total length of the paper should be between 8-10 pages (excluding the reference and cover pages).
If you have further questions, please do not hesitate to contact me.
Best wishes
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mportant notes about grading:
1. Compiler errors: All code you submit must compile. Programs that do not compile will receive an automatic zero. If you run out of time, it is better to comment out the parts that do not compile, than hand in a more complete file that does not compile.
2. Late assignments: You must submit your code before the deadline. Verify on Sakai that you have submitted the correct version. If you submit the incorrect version before the deadline and realize that you have done so after the deadline, we will only grade the version received before the deadline.
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COMM 166 Final Research Proposal GuidelinesThe proposal should.docx
COMM 166 Final Research Proposal Guidelines
The proposal should contain well-developed sections (Put clear titles on the top of each section) of your outline that you submitted earlier. The proposal should have seven (7) major sections:
1. Introduction: A brief overview of all your sections. Approx. one page
2. A summary of the literature review. In this section you would summarize the previous research (summarize at least 8-10 scholarly research articles), and also your field data collection results (if it was connected to your proposal topic). Also indicate the gaps in the previous research, including your pilot study, and the need for your research study. Please devote around three pages in reviewing the previous research and finding the gaps.
3. Arising from the literature review, write the Purpose Statement of your research (purpose statement should have all its parts clearly written. Follow the examples from textbook).
4. Identify two to three main hypotheses or research questions (based on the quantitative/qualitative research design). Also give some of your supporting research questions. Follow the examples from textbook.
5. Describe the research strategy of inquiry and methods that you would use and why. The method part should be the substantial part of your paper, around three pages. Define your knowledge claims, strategies, and methods from the textbook (and cite), why you chose them, and how you will conduct the research in detail.
6. A page on the significance of your study.
7. A complete reference list of your sources in APA style.
The total length of the paper should be between 8-10 pages (excluding the reference and cover pages).
If you have further questions, please do not hesitate to contact me.
Best wishes
Dev
mportant notes about grading:
1. Compiler errors: All code you submit must compile. Programs that do not compile will receive an automatic zero. If you run out of time, it is better to comment out the parts that do not compile, than hand in a more complete file that does not compile.
2. Late assignments: You must submit your code before the deadline. Verify on Sakai that you have submitted the correct version. If you submit the incorrect version before the deadline and realize that you have done so after the deadline, we will only grade the version received before the deadline.
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If you want to implement the project in Python, download the source code here and follow the README file. Parsing functions and test-cases are provided.
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Your main task is to implement the non-deterministic abstract interpreter covered in the lecture Control in Prolog. The pseudocode of the abstract interpreter is in the lecture note.
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Mentor: Anurag Tyagi
Review of an open source unit test tool- Cucumber_Presentation
Unit testing validates individual units or components of software to ensure they perform as designed. Cucumber is a testing framework that uses plain English scenarios in a Given-When-Then format to test software. It supports various programming languages and serves as both documentation and automated tests. Cucumber scenarios are written in feature files, while step definitions contain the actual code to implement the scenarios in code. This allows ensuring scenarios pass by writing code to implement the steps.
Assessing the Use of Eclipse MDE Technologies in Open-Source Software Projects
1. The document analyzes the adoption of Eclipse MDE technologies in open-source projects on GitHub. It identifies over 1,900 repositories and 2,200 developers working with these technologies.
2. Usage of the technologies has increased over time, with the most activity in recent years. Model-to-text transformation languages are more widely used than model-to-model languages.
3. Technologies led by industry are more popular than those developed in academia. Ecore, Xtext, Xpand, GMF, Acceleo and JET see broader adoption than Epsilon, ATL, Kermeta, and Henshin.
The Ring programming language version 1.10 book - Part 11 of 212
Ring 1.8 includes several new features and improvements, such as better performance (10-100% faster), new applications like Find in Files and StopWatch, more 3D samples, improved Form Designer, support for compiling on Manjaro Linux, and using 'This' in class regions. It also changes default values of object attributes to NULL and makes for loops use local scope. The release focuses on performance, usability, and cross-platform support enhancements.
Automatic comparison of malware
The document discusses an automatic malware comparison system that uses graph theory and entropy analysis. The system analyzes malware samples using IDA Pro to extract flow graphs and adjacency matrices. Checksums and entropy values are calculated on code blocks to select similar samples for detailed comparison. Graph matching algorithms are used to identify common functions by comparing API calls, CRC32 hashes, and control flow graphs between samples. Identifying shared functions helps classify and cluster related malware variants.
Kamil witecki asynchronous, yet readable, code
Asynchronous operations are getting more and more popular. To the point that we are getting frameworks and environments revolving strictly around that concept. Boost.ASIO, Twisted and node.js are notable example. We will not explore that area. We will focus on techniques for making asynchronous more readable. We will present different currently used solutions. At the end we will introduce coroutines and explain the concept. We will show how these can be integrated with asynchronous code and what we benefit from using coroutines in asynchronous code.
Symbolic Execution (introduction and hands-on)
An introduction to Symbolic Execution. Hands-on using the angr binary framework.
hands-on material: https://github.com/ercoppa/symbolic-execution-tutorial
reference: Roberto Baldoni, Emilio Coppa, Daniele Cono D'Elia, Camil Demetrescu, Irene Finocchi. A Survey of Symbolic Execution Techniques. ACM Computing Surveys (ACM CSUR), 51(3), 2018. http://season-lab.github.io/papers/survey-symbolic-execution-preprint-CSUR18.pdf
ECG BASED REPORT.
The document describes an algorithm for detecting R-peaks in an electrocardiogram (ECG) signal using MATLAB. It involves several steps: (1) removing low frequency components from the ECG signal using FFT, (2) finding local maxima using a windowed filter, (3) removing small values and storing significant peaks, (4) adjusting the filter size and repeating steps 2-3. The algorithm is demonstrated on two ECG data samples, showing the processed signal and detected peaks at each step. Finally, the document explains how to implement the algorithm in a neural network using the MATLAB Neural Network Toolbox.
2. Characteristics of Algorithm.ppt
The document discusses the definition and properties of algorithms. It defines an algorithm as a sequence of unambiguous instructions to solve a problem within a finite amount of time. The key properties of algorithms discussed are: inputs, outputs, finiteness (terminating in a finite number of steps), definiteness (unambiguous instructions), effectiveness, and generality. Examples are provided to illustrate these properties, such as Euclid's algorithm for finding the greatest common divisor.
White box
This document provides an overview of white-box testing techniques. It defines white-box testing and explains that it involves testing software using knowledge of its internal structure and design. The document then discusses various white-box testing techniques including basis path testing, equivalence partitioning and boundary value analysis, control flow testing to achieve method coverage, statement coverage, branch coverage, and condition coverage. The goal of white-box testing is to design test cases that thoroughly exercise the code to find defects by taking into account the internal mechanisms of the system.
White box
This document provides an overview of white-box testing techniques. It defines white-box testing and explains that it involves testing software using knowledge of its internal logic, structure and code. The document then discusses various white-box testing techniques including basis path testing, equivalence partitioning, boundary value analysis, and different types of coverage testing (method coverage, statement coverage, branch coverage, condition coverage). It provides examples to illustrate how to apply these techniques and ensure thorough testing of code paths, boundaries, decisions and conditions.
Webinar alain-2009-03-04-clamav
Alain Zidouemba presented on writing signatures for ClamAV. He discussed the different signature formats including .hdb, .mdb, .ndb, and .ldb. He provided examples of generating signatures using hash databases and extended signatures. He also demonstrated how to write logical signatures in .ldb format through a case study of the Worm.Godog malware. Whitelisting techniques were also covered, including adding entries to ignore specific signatures.
Exception handling in java
what is exception?
what is exception handling?
When occur Exception in a program?
Why we use exception handling macanisum?
explain try, catch, finally keywords.
try,catch and finally-Rules.
Types of Exception.
example of Some java Pre-defined /Built-in exception class.
User-defined Eceptions
Exception in java?
THE PERFORMANCE COMPARISON OF A BRUTEFORCE PASSWORD CRACKING ALGORITHM USING ...
Python is used extensively in research, including algorithm testing. Python is a multi-paradigm
programming language and supports both object-oriented programming and functional programming. In
the functional side, it supports both regular functions and generator functions. This study tests both
approaches in terms of usability cases and performance. A password-cracking algorithm is used for this
tryout.
Clonedigger-Python
Clone Digger is a tool that detects duplicate code in Python and Java programs. It works at the abstract syntax tree level to find code clones, which are sequences of statements that are similar after replacing variables, functions, constants, etc. Detecting clones is important because it can reduce maintenance costs by identifying code that needs to be refactored or corrected only in one place. Clone Digger can be installed and run from the command line to generate a report of any found clones.
Automatic binary deobfuscation
The document discusses automatic deobfuscation of binary code. It presents a local semantic analysis approach that rewrites binary code in a simpler form without relying on manual identification of obfuscation patterns. The approach uses compiler optimization techniques like constant propagation, folding, and stack optimization on virtual machine handler functions to drastically simplify the obfuscated code. It is able to reduce handler functions from 100-200 instructions to at most 10 instructions within a single basic block.
Improvement of Search Algorithm for Integral Distinguisher in Subblock-Based ...
Integral distinguisher is the main factor of integral attack. Conventionally, higher order integral distinguisher is obtained as an extension of first order integral (conventional algorithm). The algorithm was applied to many subblock-based block ciphers, however, the conventional algorithm has some problems. We find other integral distinguisher of two sub block-based block ciphers, TWINE and LBlock, which are different from the conventional evaluations. As a solution, we propose a new algorithm to search for higher order integral distinguisher. The point of a proposal algorithm is exploitation of bijective and injective components of cipher functions. Applying the proposal algorithm to TWINE and LBlock, we confirm the results of the proposal algorithm are consistent with the results which are calculated from computer experiment. The results are the optimal distinguisher and the most advantageous one for the attackers. Our proposal algorithm contributes to development of stronger block ciphers by obtaining such integral distinguisher.
Deep Parameters Tuning for Android Mobile Apps
This document discusses using genetic improvement techniques like mutation testing and parameter tuning to optimize non-functional properties like execution time, CPU usage, and memory allocation of Android mobile apps. It presents an approach to expose "deep parameters" through mutation analysis and then optimize apps by evaluating parameter configurations. An empirical study compares the original performance of 6 apps to performance after random parameter tuning and grid search-based tuning, finding the latter approach improved execution time by 13%, CPU time by 23%, and memory allocation by 6%.
Complete c programming presentation
This material is developed in such beautiful manner to the beginners of C language can understand it accurately.
Every concept In material is explained in well disciplined.
Even it will be helpful to the professors for presenting lecture in class room
Unit 2-data types,Variables,Operators,Conitionals,loops and arrays
The document discusses various Java data types including primitive data types like byte, short, int, long, float, double, char, boolean and their ranges. It also explains variables in Java - local variables, instance variables, static variables. Different types of operators like arithmetic, assignment, comparison, logical, bitwise operators are defined along with examples. The document also covers conditional statements like if-else, switch case and different loops in Java - for, while, do-while loops along with examples. Break and continue statements in Java loops are also explained.
Similar to How to distinguish the app was repackaged or not? (20)
Review of an open source unit test tool- Cucumber_Presentation
Review of an open source unit test tool- Cucumber_Presentation
Assessing the Use of Eclipse MDE Technologies in Open-Source Software Projects
Assessing the Use of Eclipse MDE Technologies in Open-Source Software Projects
The Ring programming language version 1.10 book - Part 11 of 212
The Ring programming language version 1.10 book - Part 11 of 212
THE PERFORMANCE COMPARISON OF A BRUTEFORCE PASSWORD CRACKING ALGORITHM USING ...
THE PERFORMANCE COMPARISON OF A BRUTEFORCE PASSWORD CRACKING ALGORITHM USING ...
Improvement of Search Algorithm for Integral Distinguisher in Subblock-Based ...
Improvement of Search Algorithm for Integral Distinguisher in Subblock-Based ...
Unit 2-data types,Variables,Operators,Conitionals,loops and arrays
Unit 2-data types,Variables,Operators,Conitionals,loops and arrays
Recently uploaded
AppSec PNW: Android and iOS Application Security with MobSF
Mobile Security Framework - MobSF is a free and open source automated mobile application security testing environment designed to help security engineers, researchers, developers, and penetration testers to identify security vulnerabilities, malicious behaviours and privacy concerns in mobile applications using static and dynamic analysis. It supports all the popular mobile application binaries and source code formats built for Android and iOS devices. In addition to automated security assessment, it also offers an interactive testing environment to build and execute scenario based test/fuzz cases against the application.
This talk covers:
Using MobSF for static analysis of mobile applications.
Interactive dynamic security assessment of Android and iOS applications.
Solving Mobile app CTF challenges.
Reverse engineering and runtime analysis of Mobile malware.
How to shift left and integrate MobSF/mobsfscan SAST and DAST in your build pipeline.
QR Secure: A Hybrid Approach Using Machine Learning and Security Validation F...
QR Secure: A Hybrid Approach Using Machine Learning and Security Validation Functions to Prevent Interaction with Malicious QR Codes.
Aim of the Study: The goal of this research was to develop a robust hybrid approach for identifying malicious and insecure URLs derived from QR codes, ensuring safe interactions.
This is achieved through:
Machine Learning Model: Predicts the likelihood of a URL being malicious.
Security Validation Functions: Ensures the derived URL has a valid certificate and proper URL format.
This innovative blend of technology aims to enhance cybersecurity measures and protect users from potential threats hidden within QR codes 🖥 🔒
This study was my first introduction to using ML which has shown me the immense potential of ML in creating more secure digital environments!
Principle of conventional tomography-Bibash Shahi ppt..pptx
before the computed tomography, it had been widely used.
inQuba Webinar Mastering Customer Journey Management with Dr Graham Hill
HERE IS YOUR WEBINAR CONTENT! 'Mastering Customer Journey Management with Dr. Graham Hill'. We hope you find the webinar recording both insightful and enjoyable.
In this webinar, we explored essential aspects of Customer Journey Management and personalization. Here’s a summary of the key insights and topics discussed:
Key Takeaways:
Understanding the Customer Journey: Dr. Hill emphasized the importance of mapping and understanding the complete customer journey to identify touchpoints and opportunities for improvement.
Personalization Strategies: We discussed how to leverage data and insights to create personalized experiences that resonate with customers.
Technology Integration: Insights were shared on how inQuba’s advanced technology can streamline customer interactions and drive operational efficiency.
From Natural Language to Structured Solr Queries using LLMs
This talk draws on experimentation to enable AI applications with Solr. One important use case is to use AI for better accessibility and discoverability of the data: while User eXperience techniques, lexical search improvements, and data harmonization can take organizations to a good level of accessibility, a structural (or “cognitive” gap) remains between the data user needs and the data producer constraints.
That is where AI – and most importantly, Natural Language Processing and Large Language Model techniques – could make a difference. This natural language, conversational engine could facilitate access and usage of the data leveraging the semantics of any data source.
The objective of the presentation is to propose a technical approach and a way forward to achieve this goal.
The key concept is to enable users to express their search queries in natural language, which the LLM then enriches, interprets, and translates into structured queries based on the Solr index’s metadata.
This approach leverages the LLM’s ability to understand the nuances of natural language and the structure of documents within Apache Solr.
The LLM acts as an intermediary agent, offering a transparent experience to users automatically and potentially uncovering relevant documents that conventional search methods might overlook. The presentation will include the results of this experimental work, lessons learned, best practices, and the scope of future work that should improve the approach and make it production-ready.
"Choosing proper type of scaling", Olena Syrota
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
Harnessing the Power of NLP and Knowledge Graphs for Opioid Research
Gursev Pirge, PhD
Senior Data Scientist - JohnSnowLabs
Demystifying Knowledge Management through Storytelling
The Department of Veteran Affairs (VA) invited Taylor Paschal, Knowledge & Information Management Consultant at Enterprise Knowledge, to speak at a Knowledge Management Lunch and Learn hosted on June 12, 2024. All Office of Administration staff were invited to attend and received professional development credit for participating in the voluntary event.
The objectives of the Lunch and Learn presentation were to:
- Review what KM ‘is’ and ‘isn’t’
- Understand the value of KM and the benefits of engaging
- Define and reflect on your “what’s in it for me?”
- Share actionable ways you can participate in Knowledge - - Capture & Transfer
Discover the Unseen: Tailored Recommendation of Unwatched Content
The session shares how JioCinema approaches ""watch discounting."" This capability ensures that if a user watched a certain amount of a show/movie, the platform no longer recommends that particular content to the user. Flawless operation of this feature promotes the discover of new content, improving the overall user experience.
JioCinema is an Indian over-the-top media streaming service owned by Viacom18.
Astute Business Solutions | Oracle Cloud Partner |
Your goto partner for Oracle Cloud, PeopleSoft, E-Business Suite, and Ellucian Banner. We are a firm specialized in managed services and consulting.
GlobalLogic Java Community Webinar #18 “How to Improve Web Application Perfor...
Під час доповіді відповімо на питання, навіщо потрібно підвищувати продуктивність аплікації і які є найефективніші способи для цього. А також поговоримо про те, що таке кеш, які його види бувають та, основне — як знайти performance bottleneck?
Відео та деталі заходу: https://bit.ly/45tILxj
AI in the Workplace Reskilling, Upskilling, and Future Work.pptx
Discover how AI is transforming the workplace and learn strategies for reskilling and upskilling employees to stay ahead. This comprehensive guide covers the impact of AI on jobs, essential skills for the future, and successful case studies from industry leaders. Embrace AI-driven changes, foster continuous learning, and build a future-ready workforce.
Read More - https://bit.ly/3VKly70
"NATO Hackathon Winner: AI-Powered Drug Search", Taras Kloba
This is a session that details how PostgreSQL's features and Azure AI Services can be effectively used to significantly enhance the search functionality in any application.
In this session, we'll share insights on how we used PostgreSQL to facilitate precise searches across multiple fields in our mobile application. The techniques include using LIKE and ILIKE operators and integrating a trigram-based search to handle potential misspellings, thereby increasing the search accuracy.
We'll also discuss how the azure_ai extension on PostgreSQL databases in Azure and Azure AI Services were utilized to create vectors from user input, a feature beneficial when users wish to find specific items based on text prompts. While our application's case study involves a drug search, the techniques and principles shared in this session can be adapted to improve search functionality in a wide range of applications. Join us to learn how PostgreSQL and Azure AI can be harnessed to enhance your application's search capability.
What is an RPA CoE? Session 2 – CoE Roles
In this session, we will review the players involved in the CoE and how each role impacts opportunities.
Topics covered:
• What roles are essential?
• What place in the automation journey does each role play?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
Day 2 - Intro to UiPath Studio Fundamentals
In our second session, we shall learn all about the main features and fundamentals of UiPath Studio that enable us to use the building blocks for any automation project.
📕 Detailed agenda:
Variables and Datatypes
Workflow Layouts
Arguments
Control Flows and Loops
Conditional Statements
💻 Extra training through UiPath Academy:
Variables, Constants, and Arguments in Studio
Control Flow in Studio
AWS Certified Solutions Architect Associate (SAA-C03)
AWS Certified Solutions Architect Associate (SAA-C03)
Mutation Testing for Task-Oriented Chatbots
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians
Dmitrii Kamaev, PhD
Senior Product Owner - QIAGEN
Must Know Postgres Extension for DBA and Developer during Migration
Mydbops Opensource Database Meetup 16
Topic: Must-Know PostgreSQL Extensions for Developers and DBAs During Migration
Speaker: Deepak Mahto, Founder of DataCloudGaze Consulting
Date & Time: 8th June | 10 AM - 1 PM IST
Venue: Bangalore International Centre, Bangalore
Abstract: Discover how PostgreSQL extensions can be your secret weapon! This talk explores how key extensions enhance database capabilities and streamline the migration process for users moving from other relational databases like Oracle.
Key Takeaways:
* Learn about crucial extensions like oracle_fdw, pgtt, and pg_audit that ease migration complexities.
* Gain valuable strategies for implementing these extensions in PostgreSQL to achieve license freedom.
* Discover how these key extensions can empower both developers and DBAs during the migration process.
* Don't miss this chance to gain practical knowledge from an industry expert and stay updated on the latest open-source database trends.
Mydbops Managed Services specializes in taking the pain out of database management while optimizing performance. Since 2015, we have been providing top-notch support and assistance for the top three open-source databases: MySQL, MongoDB, and PostgreSQL.
Our team offers a wide range of services, including assistance, support, consulting, 24/7 operations, and expertise in all relevant technologies. We help organizations improve their database's performance, scalability, efficiency, and availability.
Contact us: info@mydbops.com
Visit: https://www.mydbops.com/
Follow us on LinkedIn: https://in.linkedin.com/company/mydbops
For more details and updates, please follow up the below links.
Meetup Page : https://www.meetup.com/mydbops-databa...
Twitter: https://twitter.com/mydbopsofficial
Blogs: https://www.mydbops.com/blog/
Facebook(Meta): https://www.facebook.com/mydbops/
Session 1 - Intro to Robotic Process Automation.pdf
👉 Check out our full 'Africa Series - Automation Student Developers (EN)' page to register for the full program:
https://bit.ly/Automation_Student_Kickstart
In this session, we shall introduce you to the world of automation, the UiPath Platform, and guide you on how to install and setup UiPath Studio on your Windows PC.
📕 Detailed agenda:
What is RPA? Benefits of RPA?
RPA Applications
The UiPath End-to-End Automation Platform
UiPath Studio CE Installation and Setup
💻 Extra training through UiPath Academy:
Introduction to Automation
UiPath Business Automation Platform
Explore automation development with UiPath Studio
👉 Register here for our upcoming Session 2 on June 20: Introduction to UiPath Studio Fundamentals: https://community.uipath.com/events/details/uipath-lagos-presents-session-2-introduction-to-uipath-studio-fundamentals/
Recently uploaded (20)
AppSec PNW: Android and iOS Application Security with MobSF
AppSec PNW: Android and iOS Application Security with MobSF
QR Secure: A Hybrid Approach Using Machine Learning and Security Validation F...
QR Secure: A Hybrid Approach Using Machine Learning and Security Validation F...
Principle of conventional tomography-Bibash Shahi ppt..pptx
Principle of conventional tomography-Bibash Shahi ppt..pptx
inQuba Webinar Mastering Customer Journey Management with Dr Graham Hill
inQuba Webinar Mastering Customer Journey Management with Dr Graham Hill
From Natural Language to Structured Solr Queries using LLMs
From Natural Language to Structured Solr Queries using LLMs
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Harnessing the Power of NLP and Knowledge Graphs for Opioid Research
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Demystifying Knowledge Management through Storytelling
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Astute Business Solutions | Oracle Cloud Partner |
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GlobalLogic Java Community Webinar #18 “How to Improve Web Application Perfor...
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"NATO Hackathon Winner: AI-Powered Drug Search", Taras Kloba
"NATO Hackathon Winner: AI-Powered Drug Search", Taras Kloba
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Session 1 - Intro to Robotic Process Automation.pdf
Session 1 - Intro to Robotic Process Automation.pdf
How to distinguish the app was repackaged or not?
- 6. Sample No. Keystore Code Modified 1 keystore_file_1 Original code 2 keystore_file_2 No 3 keystore_file_2 Yes
- 18. 3,360,586 – 3,360,376 = 210
- 19. 3,334,868 – 3,334,658 = 210
- 21. The diff result of AndroidManifest.xml (sample1 and sample2).
- 22. The diff result of AndroidManifest.xml (sample1 and sample3).
- 23. The diff result of apktool.yml (sample1 and sample2).
- 24. The diff result of apktool.yml (sample1 and sample3).
- 25. Take a look at the smali code (sample1 and sample3).
- 26. Take a look at sample1 and sample3.
- 27. Take a look at sample1 and sample3.
- 28. Take a look at sample1 and sample3 (.apk).
- 29. Take a look at sample1 and sample3 (after extract).
- 30. Take a look at sample1 and sample3 (.dex file).
- 31. Let’s look back to our test sample: Sample No. Keystore Code Modified 1 keystore_file_1 Original code 2 keystore_file_2 No 3 keystore_file_2 Yes
- 32. Let’s look back to our test samples and make some conclusion… The different stuffs at each phase (based on sample1):