Prediction of terrorist on the basis of semantic association building ontology niroj
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This project proposal outlines a system to predict terrorist activities by building an ontology of semantic associations. The system would analyze personal connections between individuals to identify potential terrorist networks before attacks occur. It would be a web-based application with wide reach and focus on counter-terrorism efforts. Data would come from both primary and secondary sources. Testing would involve unit, integration, alpha, beta, and system tests. A Gantt chart outlines the project timeline from May 2022 to April 2023 including system study, analysis, design, coding, testing, implementation, and documentation.
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Firewalls control incoming and outgoing network traffic by analyzing data packets and determining whether to allow or block them based on rules. They filter traffic based on protocol, source/destination addresses and ports, schedule, users, and content. A case study describes a small organization using email, FTP, and internet with a firewall policy prohibiting external-internal interaction except for email, ping, DNS, and limited FTP. Only the marketing and sales department can access the internet from internally. Firewalls alone do not ensure network safety - procedural defenses are also needed. Attack scenarios and recommendations include comprehensively analyzing risks, blocking all inbound/outbound traffic by default with exceptions, and considering source, destination, and content in policies. Organizations should determine
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International Journal on Cryptography and Information Security (IJCIS)
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Machine learning techniques applied to detect cyber attacks on web applications
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The document discusses various ways to go green and live more sustainably, including eco-friendly fashion, influential environmentalists, green technologies, transportation, toys, architecture, and home improvements. Some highlights mentioned are organic clothing, electric and diesel-powered cars, architecture that aims to reduce environmental impact, and small changes like using efficient showerheads and native plants.
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The document summarizes a classroom observation at Pushpalal Memorial College in Kathmandu. It describes the college's location and faculties. It then outlines the teacher's planning, classroom climate, activities, methods, management, time and resource management, feedback mechanisms, and reflection on the lesson. The teacher engaged students through group work and discussion, answered questions, and managed time well to achieve the lesson objectives. Overall, the classroom environment was effective for learning.
Eco-Friendly Construction By Shubham Shinde,Akshay Phadtare & Ganesh Phadtare
This document discusses eco-friendly construction techniques. It begins with an introduction defining eco-friendly construction as building in a way that is beneficial and non-harmful to the environment and uses resources efficiently. It then covers the need for eco-friendly construction due to growth in construction negatively impacting resources and the environment. The objectives are outlined as conserving resources and minimizing environmental impact. Techniques discussed include green roofs, rainwater harvesting, solar equipment, and use of materials like aero tiles, aero bricks, and wood fibers. Benefits are reducing costs, waste and environmental impact while enhancing health. Case studies of eco-lodges in Spain and a children's center are presented. The conclusion restates that eco-
Blast resistant structure
This document discusses blast resistant structures and provides guidelines for designing structures to withstand explosive attacks. It outlines threats from vehicle bombs and hand-delivered explosives. Key design aspects covered include site layout and distance from potential explosions, structural forms that are less vulnerable, and reinforced concrete structural elements. Interior walls, glazing, and doors are addressed. Transportation infrastructure vulnerabilities to attacks are also noted. Special fabrics like Dura steel Zetix can be used in blast resistant designs.
Design of Blast resistance structures
This document discusses the design of blast resistant structures. It covers the need for blast resistant design due to increasing terrorist attacks. It describes different types of blasts and the principles of blast resistant design, which aim to sustain damage and prevent progressive collapse. The effects of blasts on structures are explained, along with preventive measures that can be taken in planning, construction, and materials used. Specific structural elements like beams, columns, floors and their connections are discussed. The document concludes that while withstanding any attack is impractical, performance of structures can be improved to resist external explosions.
Transparent concrete (translucent)
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transparent concrete using optical fibers its emerging techniques which is most helpful in future...
this idea is very much useful to save electrical energy which helpful for our upcoming generations..
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Eco friendly building materials
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Empowering Cyber Threat Intelligence with AI
Cyber Threat Intelligence (CTI) is gaining importance due to the rise in cyber attacks and crimes. It aims to increase administrators understanding of events and threats by gathering intelligence about criminal operations. However, there is a lack of literature on how AI algorithms can improve CTI automation. This research aims to understand CTI's importance and automate the CTI process, prioritizing important threats and providing recommendations for mitigation. The study reviews literature on AI algorithms with CTI to identify the best models and algorithms for improving automation. It also helps organizations understand and analyze data to reveal trends and patterns, providing in-depth understanding of threats. This research is suitable for entities with large datasets of intelligent information and sensitive data types.
Behavioural Analytics in Cyber Security for Digital Forensics Application
Behavioural Analytics in Cyber Security for Digital Forensics ApplicationAIRCC Publishing Corporation
The paper emphasizes the human aspects of cyber incidents concerning protecting information and
technology assets by addressing behavioral analytics in cybersecurity for digital forensics applications.
The paper demonstrates the human vulnerabilities associated with information systems technologies and
components. This assessment is based on past literature assessments done in this area. This study also
includes analyses of various frameworks that have led to the adoption of behavioral analysis in digital
forensics. The study's findings indicate that behavioral evidence analysis should be included as part of the
digital forensics examination. The provision of standardized investigation methods and the inclusion of
human factors such as motives and behavioral tendencies are some of the factors attached to the use of
behavioral digital forensic frameworks. However, the study also appreciates the need for a more
generalizable digital forensic method. BEHAVIOURAL ANALYTICS IN CYBER SECURITY FOR DIGITAL FORENSICS APPLICATION
BEHAVIOURAL ANALYTICS IN CYBER SECURITY FOR DIGITAL FORENSICS APPLICATIONAIRCC Publishing Corporation
The paper emphasizes the human aspects of cyber incidents concerning protecting information and
technology assets by addressing behavioral analytics in cybersecurity for digital forensics applications.
The paper demonstrates the human vulnerabilities associated with information systems technologies and
components. This assessment is based on past literature assessments done in this area. This study also
includes analyses of various frameworks that have led to the adoption of behavioral analysis in digital
forensics. The study's findings indicate that behavioral evidence analysis should be included as part of the
digital forensics examination. The provision of standardized investigation methods and the inclusion of
human factors such as motives and behavioral tendencies are some of the factors attached to the use of
behavioral digital forensic frameworks. However, the study also appreciates the need for a more
generalizable digital forensic method. Behavioural Analytics in Cyber Security for Digital Forensics Application
Behavioural Analytics in Cyber Security for Digital Forensics ApplicationAIRCC Publishing Corporation
The paper emphasizes the human aspects of cyber incidents concerning protecting information and
technology assets by addressing behavioral analytics in cybersecurity for digital forensics applications.
The paper demonstrates the human vulnerabilities associated with information systems technologies and
components. This assessment is based on past literature assessments done in this area. This study also
includes analyses of various frameworks that have led to the adoption of behavioral analysis in digital
forensics. The study's findings indicate that behavioral evidence analysis should be included as part of the
digital forensics examination. The provision of standardized investigation methods and the inclusion of
human factors such as motives and behavioral tendencies are some of the factors attached to the use of
behavioral digital forensic frameworks. However, the study also appreciates the need for a more
generalizable digital forensic method.Comparison study of machine learning classifiers to detect anomalies
In this era of Internet ensuring the confidentiality, authentication and integrity of any resource exchanged over the net is the imperative. Presence of intrusion prevention techniques like strong password, firewalls etc. are not sufficient to monitor such voluminous network traffic as they can be breached easily. Existing signature based detection techniques like antivirus only offers protection against known attacks whose signatures are stored in the database.Thus, the need for real-time detection of aberrations is observed. Existing signature based detection techniques like antivirus only offers protection against known attacks whose signatures are stored in the database. Machine learning classifiers are implemented here to learn how the values of various fields like source bytes, destination bytes etc. in a network packet decides if the packet is compromised or not . Finally the accuracy of their detection is compared to choose the best suited classifier for this purpose. The outcome thus produced may be useful to offer real time detection while exchanging sensitive information such as credit card details.
Techniques for predicting dark web events focused on the delivery of illicit ...
Malicious actors, specially trained professionals operating anonymously on the dark web (DW) platform to conduct cyber fraud, illegal drug supply, online kidnapping orders, CryptoLocker induction, contract hacking, terrorist recruitment portals on the online social network (OSN) platform, and financing are always a possibility in the hyperspace. The amount and variety of unlawful actions are increasing, which has prompted law enforcement (LE) agencies to develop efficient prevention tactics. In the current atmosphere of rapidly expanding cybercrime, conventional crime-solving methods are unable to produce results due to their slowness and inefficiency. The methods for accurately predicting crime before it happens "automated machine" to help police officers ease the burden on personnel while also assisting in preventing offense. To achieve and explain the results of a few cases in which such approaches were applied, we advise combining machine learning (ML) with computer vision (CV) strategies. This study's objective is to present dark web crime statistics and a forecasting model for generating alerts of illegal operations like drug supply, people smuggling, terrorist staffing and radicalization, and deceitful activities that are connected to gangs or organizations showing online presence using ML and CV to help law enforcement organizations identify, and accumulate proactive tactics for solving crimes.
Use of network forensic mechanisms to formulate network security
Network Forensics is fairly a new area of research which would be used after an intrusion in various
organizations ranging from small, mid-size private companies and government corporations to the defence
secretariat of a country. At the point of an investigation valuable information may be mishandled which
leads to difficulties in the examination and time wastage. Additionally the intruder could obliterate tracks
such as intrusion entry, vulnerabilities used in an entry, destruction caused, and most importantly the
identity of the intruder. The aim of this research was to map the correlation between network security and
network forensic mechanisms. There are three sub research questions that had been studied. Those have
identified Network Security issues, Network Forensic investigations used in an incident, and the use of
network forensics mechanisms to eliminate network security issues. Literature review has been the
research strategy used in order study the sub research questions discussed. Literature such as research
papers published in Journals, PhD Theses, ISO standards, and other official research papers have been
evaluated and have been the base of this research. The deliverables or the output of this research was
produced as a report on how network forensics has assisted in aligning network security in case of an
intrusion. This research has not been specific to an organization but has given a general overview about
the industry. Embedding Digital Forensics Framework, Network Forensic Development Life Cycle, and
Enhanced Network Forensic Cycle could be used to develop a secure network. Through the mentioned
framework, and cycles the author has recommended implementing the 4R Strategy (Resistance,
Recognition, Recovery, Redress) with the assistance of a number of tools. This research would be of
interest to Network Administrators, Network Managers, Network Security personnel, and other personnel interested in obtaining knowledge in securing communication devices/infrastructure. This research provides a framework that can be used in an organization to eliminate digital anomalies through network forensics, helps the above mentioned persons to prepare infrastructure readiness for threats and also enables further research to be carried on in the fields of computer, database, mobile, video, and audio.
USE OF NETWORK FORENSIC MECHANISMS TO FORMULATE NETWORK SECURITY
Network Forensics is fairly a new area of research which would be used after an intrusion in various
organizations ranging from small, mid-size private companies and government corporations to the defence
secretariat of a country. At the point of an investigation valuable information may be mishandled which
leads to difficulties in the examination and time wastage. Additionally the intruder could obliterate tracks
such as intrusion entry, vulnerabilities used in an entry, destruction caused, and most importantly the
identity of the intruder. The aim of this research was to map the correlation between network security and
network forensic mechanisms. There are three sub research questions that had been studied. Those have
identified Network Security issues, Network Forensic investigations used in an incident, and the use of
network forensics mechanisms to eliminate network security issues. Literature review has been the
research strategy used in order study the sub research questions discussed. Literature such as research
papers published in Journals, PhD Theses, ISO standards, and other official research papers have been
evaluated and have been the base of this research. The deliverables or the output of this research was
produced as a report on how network forensics has assisted in aligning network security in case of an
intrusion. This research has not been specific to an organization but has given a general overview about
the industry. Embedding Digital Forensics Framework, Network Forensic Development Life Cycle, and
Enhanced Network Forensic Cycle could be used to develop a secure network. Through the mentioned
framework, and cycles the author has recommended implementing the 4R Strategy (Resistance,
Recognition, Recovery, Redress) with the assistance of a number of tools. This research would be of
interest to Network Administrators, Network Managers, Network Security personnel, and other personnel
interested in obtaining knowledge in securing communication devices/infrastructure. This research
provides a framework that can be used in an organization to eliminate digital anomalies through network
forensics, helps the above mentioned persons to prepare infrastructure readiness for threats and also
enables further research to be carried on in the fields of computer, database, mobile, video, and audio.
A SYSTEMATIC REVIEW ON MACHINE LEARNING INSIDER THREAT DETECTION MODELS, DATA...
Computers are crucial instruments providing a competitive edge to organizations that have adopted them. Their pervasive presence has presented a novel challenge to information security, specifically threats emanating from privileged employees. Various solutions have been tried to address the vice, but no exhaustive solution has been found. Due to their elusive nature, proactive strategies have been proposed of which detection using Machine Learning models has been favoured. The choice of algorithm, datasets and metrics are cornerstones of model performance and hence, need to be addressed. Although multiple studies on ML for insider threat detection have been done, none has provided a comprehensive analysis of algorithms, datasets and metrics for development of Insider Threat Detection models. This study conducts a comprehensive systematic literature review using reputable databases to answer the research questions posed. Search strings, inclusion and exclusion criteria were set for eligibility of articles published in the last decade.
Securing And Protecting Information
The document discusses securing and protecting information systems through proper authentication processes and policies. It describes how today's authentication methods must be more secure to protect against threats like password hacking and impersonation. Effective security policies clearly define roles and responsibilities, and use techniques like mandatory access control, role-based access control, and multifactor authentication to regulate access to systems and data. Proper user training and system monitoring are also needed to counter evolving cyber threats.
IRJET- Security Risk Assessment on Social Media using Artificial Intellig...
1. The document proposes using artificial intelligence to assess security risks on social media by detecting suspicious activity and malicious URLs.
2. It discusses drawbacks of existing intrusion detection systems, including complexity and vulnerabilities.
3. The proposed system would use AI techniques to automate intrusion detection, identify unknown threats, and learn over time to handle large volumes of data.
IDSECCONF 2020 : A Tale Story of Building and Maturing Threat Hunting Program
The document discusses building and maturing a threat hunting program. It covers key aspects like people (threat hunters), process, and technology. For people, it describes necessary skillsets for threat hunters and notes they can be dedicated, outsourced, or hybrid resources. The process section explains the threat hunting life cycle and frameworks like MITRE ATT&CK. It also discusses maturity models and KPI metrics. Finally, it addresses the technology stack including detection sources, hunting platforms/tools, and services for analysis enrichment.
Guide to high volume data sources for SIEM
The document discusses the need for security teams to have access to more data from a variety of sources to address evolving security challenges. As adversaries become more motivated by lucrative opportunities and employ more evasive and patient attack methods, security teams need more context from diverse data sources to identify unknown threats, investigate long dwell times, and combat evasion techniques. Both basic attacks exploiting misconfigurations and advanced attacks require security teams to maintain visibility across on-premises and cloud environments and access security-relevant data for detections, investigations, and responses. High-profile examples that illustrate the need for more data include cloud-based data breaches, sophisticated supply chain attacks, and evolving ICS/SCADA and IoT attacks.
Selected advanced themes in ethical hacking and penetration testing
Since 1980 cyberattacks have been evolving with the rising numbers of internet users and the constant evolving of security systems, and since then security systems experts have been trying to fight these kinds of attacks. This paper has both ethical and scientific goals, ethically, to raise awareness on cyberattacks and provide people with the knowledge that allows them to use the world wide web with fewer worries knowing how to protect their information and their devices with what they can. Scientifically, this paper includes a deep understanding of types of hackers, attacks, and various ways to stay safe online. This research investigates how ethical hackers adapt to the current and upcoming cyber threats. The different approaches for some famous hacking types along with their results are shown. Python and Ruby are used for coding, which we run on Kali Linux operating system.
A Proactive Approach in Network Forensic Investigation Process
nformation Assurance and Security (IAS) is a crucial component in the corporate environment to ensure that the secrecy of
sensitive data is protected, the integrity of important data is not violated, and the availability of critical systems is guaranteed. The
advancement of Information communication and technology into a new era and domain such as mobility and Internet of Things,
its ever growing user’s base and sophisticated cyber-attacks forces the organizations to deploy automated and robust defense
mechanism to manage resultant digital security incidences in real time. Digital forensic is a scientific process that facilitates
detection of illegal activities and in-appropriate behaviors using scientific tools, techniques and investigation frameworks. This
research aims at identifying processes that facilitate and improves digital forensic investigation process. Existing digital forensic
framework will be reviewed and the analysis will be compiled toderive a network forensic investigation framework that include
evidence collection, preservation and analysis at a sensor level and in real time. It is aimed to discover complete relationship with
optimal performance among known and unseen/new alerts generated by multiple network sensors in order to improve the quality
of alert and recognize attack strategy
Intrusion Detection System using Data Mining
This document presents a proposed intrusion detection system using data mining techniques. It begins with an abstract that describes how internal intrusions are difficult to detect as internal users know the organization's information. It then discusses how anomaly detection can be used to create behavior profiles for each user and detect anomalous activities. The introduction provides background on intrusion detection systems and the need for more efficient and effective detection methods. It describes the proposed system which will use data mining techniques like k-means clustering to separate normal and abnormal network activities in order to detect internal attacks. It discusses the hardware and software requirements and specifications. Finally, it concludes that the proposed system can better detect anomalies in the network compared to other machine learning approaches.
Credential Harvesting Using Man in the Middle Attack via Social Engineering
With growing internet users threat landscape is also increasing widely. Even following standard security policies and using multiple security layers will not keep users safe unless they are well aware of the emerging cyber threats and the risks involved. Humans are the weakest link in the security system as they possess emotions that can be exploited with minimum reconnaissance. social engineering is a type of cyber attack where it exploits human behavior or emotions to collect sensitive information such as username, password, personal details, etc. This paper proposes a system that helps end users to understand that even using security mechanisms such as two factor authentication can be useless when the user is not aware of basic security elements and make internet users aware of cyber threats and the risk involved. Sudhakar P | Dr. Uma Rani Chellapandy "Credential Harvesting Using Man in the Middle Attack via Social Engineering" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-3 , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49629.pdf Paper URL: https://www.ijtsrd.com/computer-science/computer-security/49629/credential-harvesting-using-man-in-the-middle-attack-via-social-engineering/sudhakar-p
Literature Review.docx
This document summarizes 12 sources on topics related to cybersecurity threats such as spam, phishing, ransomware, and malware detection techniques. The sources discuss using machine learning algorithms and heuristic approaches to detect spam accounts, phishing websites, and ransomware variants. Some propose new techniques like using Twitter data and mobile messages to detect spam or combining feature selection with metaheuristic algorithms to identify phishing sites. Others analyze hyperlinks or topic distributions to identify phishing attacks or classify anti-phishing solutions. The document also mentions the rise of ransomware attacks and techniques used in related studies.
Review on effectiveness of deep learning approach in digital forensics
Cyber forensics is use of scientific methods for definite description of cybercrime activities. It deals with collecting, processing and interpreting digital evidence for cybercrime analysis. Cyber forensic analysis plays very important role in criminal investigations. Although lot of research has been done in cyber forensics, it is still expected to face new challenges in near future. Analysis of digital media specifically photographic images, audio and video recordings are very crucial in forensics This paper specifically focus on digital forensics. There are several methods for digital forensic analysis. Currently deep learning (DL), mainly convolutional neural network (CNN) has proved very promising in classification of digital images and sound analysis techniques. This paper presents a compendious study of recent research and methods in forensic areas based on CNN, with a view to guide the researchers working in this area. We first, defined and explained preliminary models of DL. In the next section, out of several DL models we have focused on CNN and its usage in areas of digital forensic. Finally, conclusion and future work are discussed. The review shows that CNN has proved good in most of the forensic domains and still promise to be better.
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Behavioural Analytics in Cyber Security for Digital Forensics Application
Behavioural Analytics in Cyber Security for Digital Forensics Application
BEHAVIOURAL ANALYTICS IN CYBER SECURITY FOR DIGITAL FORENSICS APPLICATION
BEHAVIOURAL ANALYTICS IN CYBER SECURITY FOR DIGITAL FORENSICS APPLICATION
Behavioural Analytics in Cyber Security for Digital Forensics Application
Behavioural Analytics in Cyber Security for Digital Forensics Application
Comparison study of machine learning classifiers to detect anomalies
Comparison study of machine learning classifiers to detect anomalies
Techniques for predicting dark web events focused on the delivery of illicit ...
Techniques for predicting dark web events focused on the delivery of illicit ...
Use of network forensic mechanisms to formulate network security
Use of network forensic mechanisms to formulate network security
USE OF NETWORK FORENSIC MECHANISMS TO FORMULATE NETWORK SECURITY
USE OF NETWORK FORENSIC MECHANISMS TO FORMULATE NETWORK SECURITY
A SYSTEMATIC REVIEW ON MACHINE LEARNING INSIDER THREAT DETECTION MODELS, DATA...
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IRJET- Security Risk Assessment on Social Media using Artificial Intellig...
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IDSECCONF 2020 : A Tale Story of Building and Maturing Threat Hunting Program
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Selected advanced themes in ethical hacking and penetration testing
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A Proactive Approach in Network Forensic Investigation Process
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Credential Harvesting Using Man in the Middle Attack via Social Engineering
20TL045_IDS for Cyber Security AI,ML Based (1).pptx
20TL045_IDS for Cyber Security AI,ML Based (1).pptx
Review on effectiveness of deep learning approach in digital forensics
Review on effectiveness of deep learning approach in digital forensics
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The complex relationship between human activities and the environment has been the focus
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accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
BBR 2024 Summer Sessions Interview Training
Qualitative research interview training by Professor Katrina Pritchard and Dr Helen Williams
Walmart Business+ and Spark Good for Nonprofits.pdf
"Learn about all the ways Walmart supports nonprofit organizations.
You will hear from Liz Willett, the Head of Nonprofits, and hear about what Walmart is doing to help nonprofits, including Walmart Business and Spark Good. Walmart Business+ is a new offer for nonprofits that offers discounts and also streamlines nonprofits order and expense tracking, saving time and money.
The webinar may also give some examples on how nonprofits can best leverage Walmart Business+.
The event will cover the following::
Walmart Business + (https://business.walmart.com/plus) is a new shopping experience for nonprofits, schools, and local business customers that connects an exclusive online shopping experience to stores. Benefits include free delivery and shipping, a 'Spend Analytics” feature, special discounts, deals and tax-exempt shopping.
Special TechSoup offer for a free 180 days membership, and up to $150 in discounts on eligible orders.
Spark Good (walmart.com/sparkgood) is a charitable platform that enables nonprofits to receive donations directly from customers and associates.
Answers about how you can do more with Walmart!"
The simplified electron and muon model, Oscillating Spacetime: The Foundation...
Discover the Simplified Electron and Muon Model: A New Wave-Based Approach to Understanding Particles delves into a groundbreaking theory that presents electrons and muons as rotating soliton waves within oscillating spacetime. Geared towards students, researchers, and science buffs, this book breaks down complex ideas into simple explanations. It covers topics such as electron waves, temporal dynamics, and the implications of this model on particle physics. With clear illustrations and easy-to-follow explanations, readers will gain a new outlook on the universe's fundamental nature.
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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Natural birth techniques - Mrs.Akanksha Trivedi Rama University
Natural birth techniques - Mrs.Akanksha Trivedi Rama UniversityAkanksha trivedi rama nursing college kanpur.
Natural birth techniques are various type such as/ water birth , alexender method, hypnosis, bradley method, lamaze method etcThe Diamonds of 2023-2024 in the IGRA collection
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
How to Build a Module in Odoo 17 Using the Scaffold Method
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
BÀI TẬP BỔ TRỢ TIẾNG ANH 8 CẢ NĂM - GLOBAL SUCCESS - NĂM HỌC 2023-2024 (CÓ FI...
BÀI TẬP BỔ TRỢ TIẾNG ANH 8 CẢ NĂM - GLOBAL SUCCESS - NĂM HỌC 2023-2024 (CÓ FI...Nguyen Thanh Tu Collection
https://app.box.com/s/y977uz6bpd3af4qsebv7r9b7s21935vdExecutive Directors Chat Leveraging AI for Diversity, Equity, and Inclusion
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
Community pharmacy- Social and preventive pharmacy UNIT 5
Covered community pharmacy topic of the subject Social and preventive pharmacy for Diploma and Bachelor of pharmacy
বাংলাদেশ অর্থনৈতিক সমীক্ষা (Economic Review) ২০২৪ UJS App.pdf
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
RPMS TEMPLATE FOR SCHOOL YEAR 2023-2024 FOR TEACHER 1 TO TEACHER 3
RPMS Template 2023-2024 by: Irene S. Rueco
What is Digital Literacy? A guest blog from Andy McLaughlin, University of Ab...
What is Digital Literacy? A guest blog from Andy McLaughlin, University of Aberdeen
Pollock and Snow "DEIA in the Scholarly Landscape, Session One: Setting Expec...
Pollock and Snow "DEIA in the Scholarly Landscape, Session One: Setting Expec...National Information Standards Organization (NISO)
This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.Recently uploaded (20)
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UP
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UP
Digital Artefact 1 - Tiny Home Environmental Design
Digital Artefact 1 - Tiny Home Environmental Design
Walmart Business+ and Spark Good for Nonprofits.pdf
Walmart Business+ and Spark Good for Nonprofits.pdf
The simplified electron and muon model, Oscillating Spacetime: The Foundation...
The simplified electron and muon model, Oscillating Spacetime: The Foundation...
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...
Natural birth techniques - Mrs.Akanksha Trivedi Rama University
Natural birth techniques - Mrs.Akanksha Trivedi Rama University
How to Build a Module in Odoo 17 Using the Scaffold Method
How to Build a Module in Odoo 17 Using the Scaffold Method
BÀI TẬP BỔ TRỢ TIẾNG ANH 8 CẢ NĂM - GLOBAL SUCCESS - NĂM HỌC 2023-2024 (CÓ FI...
BÀI TẬP BỔ TRỢ TIẾNG ANH 8 CẢ NĂM - GLOBAL SUCCESS - NĂM HỌC 2023-2024 (CÓ FI...
Executive Directors Chat Leveraging AI for Diversity, Equity, and Inclusion
Executive Directors Chat Leveraging AI for Diversity, Equity, and Inclusion
Community pharmacy- Social and preventive pharmacy UNIT 5
Community pharmacy- Social and preventive pharmacy UNIT 5
বাংলাদেশ অর্থনৈতিক সমীক্ষা (Economic Review) ২০২৪ UJS App.pdf
বাংলাদেশ অর্থনৈতিক সমীক্ষা (Economic Review) ২০২৪ UJS App.pdf
RPMS TEMPLATE FOR SCHOOL YEAR 2023-2024 FOR TEACHER 1 TO TEACHER 3
RPMS TEMPLATE FOR SCHOOL YEAR 2023-2024 FOR TEACHER 1 TO TEACHER 3
What is Digital Literacy? A guest blog from Andy McLaughlin, University of Ab...
What is Digital Literacy? A guest blog from Andy McLaughlin, University of Ab...
Pollock and Snow "DEIA in the Scholarly Landscape, Session One: Setting Expec...
Pollock and Snow "DEIA in the Scholarly Landscape, Session One: Setting Expec...
Prediction of terrorist on the basis of semantic association building ontology niroj
- 1. project proposal on Prediction of terrorist on the basis of Semantic Association building Ontology Niroj Paudel MED. ICT 3rd semester Sanothimi Campus
- 2. Background and Introduction Terrorism is a global problem. Terrorist have fake name, multi identification, fake passports and stolen credit cards. Their relations with the local and international terrorists or underground forces. The prediction system can predict terrorist And terrorist activities before the event.
- 3. Statement of problems Terrorism is the network of personal connections that allows the terrorist organization to function.
- 4. Objectives To predict the terrorist on the basis of semantic web portal
- 5. Scope and Limitation Scope Application is web based, it has wide reach among millions of users among which many users are intended to learn. It is focused to Counter-terrorist activities that may include the Intelligence Bureau in army, police or national Investigation. Limitation Particular terrorist group Certain period of time
- 6. Feasibility study Economic Schedule Technical Operational
- 7. Data collection Primary Data Secondary Data
- 8. Testing tool Unit testing Integration testing Alpha testing Beta testing System testing
- 9. Project timeline (Gantt Chart) ID Task Name Start Finish Duration Apr 2072 May 2072 4/24 5/1 5/8 5/15 5/22 1 6d5/1/20724/25/2072System Stady 2 15d5/18/20725/2/2072System Analysis 3 12d6/1/20725/19/2072System Design 4 15d6/19/20726/2/2072Coding 5 5d6/24/20726/20/2072Testing 6 5d6/30/20726/26/2072Implements 7 58d6/30/20724/25/2072Documentation Jun 2072 5/29 6/5 6/12 6/19 6/26