Bootcamp on CYBER SECURITY

 

SUPRAJA TECHNOLOGIES IN ASSOCIATION WITH ALIET

3 Days Practical Hands-on Bootcamp on CYBER SECURITY & next followed by a 8 Hrs OR 12 Hrs OR 16 Hrs OR 24 Hrs HACKATHON 

11-04-2023 TO 13-04-2023

DETECTION OF RANSOMWARE ATTACKS IN NETWORK USING MACHINE LEARNING

DETECTION OF RANSOMWARE ATTACKS IN NETWORK USING MACHINE LEARNING

1.ABSTRACT

The development of computer and communication technology has resulted in considerable changes from the past. Despite the fact that utilising new inventions benefits people, organisations, and governments greatly, some people are prejudiced against them. For instance, information security in file systems, information accessibility, and so on.Due to several groups, including the criminal underworld, professionals, and digital activists, including dread of the digital world, which has caused many issues for individuals and organisations, has reached the point where it may jeopardise national and open security. Intrusion Detection Systems (IDS) were created as a result to maintain a safe distance from internet threats. The new CICIDS2017 dataset was utilised to train the Support vector machine (SVM) computations, which are currently being used to identify port sweep efforts. Instead of SVM, we might use other algorithms like CNN, ANN, and random forest. Keywords: data security, information accessibility, digital fear, intrusion detection systems. 

1 B Ramakrishna 2 A Ajith Reddy 3 B Srinivas 4 Dr V Shanmukha Rao

Download Link:  https://ijsrem.com/download/detection-of-ransomware-attacks-in-network-using-machine-learning/           

Please find your published Research Paper here 

https://ijsrem.com/currentissues/

https://ijsrem.com/volume07issue03march2023/

Seminar on Research Trends in Artificial Intelligence

 Seminar Presentation on Research Trends in Artificial Intelligence on 22-06-2022, at

Department of Information Technology

Vijaya Institute of Engineering and Technology, Vijayawada

Mrs.Y.Vijaya, Head of the Department , Information Technology, VITW.

Blog Mining Using Search Engine Optimization and Machine learning (IJSREM)

 Blog Mining Using Search Engine Optimization and Machine learning

The blog is a regularly updated website or web page, typically run by an individual or small group, that is written in an informal or conversational style. Blogs consist of a series of posts where posts are archived, and are usually sorted into categories. Bloggers identify the sentiments, both positive and negative opinions about the topic to understand and present public views in detail. Readers can browse these categories through the blog to read older entries. It does typically involve searching and analyzing blogs in order to generate additional insights and acts asan information source for the user’s ideas. Blog Mining provides a capability of processing large amounts of text data effectively, blog mining can be a valuable method for gaining insights into a given topic. This study of blog mining is used to analyze and search the online blog posts relevant contents in a quite simpler fashion In this, providing three main features to the website, where it will most helpful to Blogger’s and Reader’s as well, they are: 

1. Blog Mining  2. Text Summarization  3. Search Engine Optimization

Providing a platform to Blogger’s and Reader’s. Where the blogger will continually post new content orinformation in the Blog and readers will check them frequently and gain knowledge or information from the blogs. So, we created a website for both of them, where bloggers have a separate account in the website, they can login and update/write the content and readers can go to the home page directly to view the blogs of bloggers. Here we are creating a Techie Blog website.

Keywords- Blog, Blog-mining, Machine learning, Latent Semantic Analysis, Search Engine Optimization, Hummingbird, Panda & Hybridization.

“Blog Mining Using Search Engine Optimization and Machine learning”, Dr.V. Shanmukha Rao1, Vikram Pagadala2 , MD. Ibraheem3 , CH. Roop Kumar4, International Journal of Scientific Research in Engineering and Management (IJSREM), ISSN: 2582-3930, Volume: 06 Issue: 06 | June – 2022, DOI: 10.55041/IJSREM14235,

https://ijsrem.com/download/blog-mining-using-search-engine-optimization-and-machine-learning/