What are the related theory about COMPARISON OF OPEN SOURCE INTELLIGENCE TOOLS (OSINT) WITH REGARDS TO CYBERSECURITY METRICS?5 answersThe comparison of Open Source Intelligence (OSINT) tools in the realm of cybersecurity metrics is a crucial area of study. OSINT tools are increasingly utilized by Cybersecurity Emergency or Incident Response Teams (CERTs/CSIRTs) for monitoring cyber threats. These tools gather data from freely accessible online sources, aiding in security assessments. The evolution of IT trends like social media and cloud computing has made organizations more susceptible to OSINT-supported cyber attacks. Additionally, a proposed cybersecurity strategy involves a combination of static and dynamic approaches to anticipate threats effectively. By understanding the acceptance factors, privacy concerns, and the need for OSINT, researchers can enhance the development and utilization of OSINT systems for cybersecurity purposes.
What are theories on AI driven language tools?5 answersAI-driven language tools have been the subject of several theories and discussions. One theory is the use of Large-Language Model Artificial Intelligences (LLM-AIs) to support individuals with learning differences such as ADHD and ASD. These tools aim to assist with complex language-based tasks and promote high-order thinking. Another theory focuses on the potential of AI language learning tools to enhance language learning experiences. These tools offer personalized learning, cultural exposure, and the ability to reduce learning time. Additionally, there is a theory that highlights the capabilities of AI tools in generating human-like responses in natural language conversations. These tools utilize deep learning techniques and large-scale training data to provide accurate and helpful responses. Furthermore, there is a theory that categorizes digital writing tools into Machine Translators, Digital Writing Assistants, and Automated Paraphrasing Tools, emphasizing the need for comprehensive pedagogical approaches and academic integrity policies. Finally, the theory of AI-supported language learning emphasizes the importance of teacher intervention and configuration in the effectiveness of learning, calling for further research in real-life learning contexts.
What is OSINT?5 answersOpen-Source Intelligence (OSINT) is a branch of intelligence that gathers, analyzes, and combines information from multiple sources across the entire cyberspace to provide information. OSINT is derived from publicly available sources and makes up a significant portion of intelligence activities carried out by Law Enforcement Agencies (LEAs) and intelligence services. It involves the use of data mining, machine learning, and visual forensics to collect and analyze information more quickly and accurately. OSINT is crucial for cybersecurity intelligence gathering and can be used to secure network systems. It also has applications in event discovery and investigation processes, providing security operators with insight into ongoing events and helping prioritize vulnerabilities. OSINT is a collection discipline focused on publicly available information and is an important stage in the intelligence cycle.
What are the challenges of open source intelligence (OSINT)?5 answersThe challenges of open source intelligence (OSINT) include concerns related to governance, ethics, legal issues, and social implications (GELSI). In armed conflict and humanitarian-emergency settings, the misuse of OSINT can lead to real-world harms, particularly in terms of privacy and data protection rights. Novice investigators in the OSINT community may engage in vigilantism or doxxing, while expert investigators face challenges with existing OSINT tools and collaboration patterns. Law enforcement agencies face challenges in password cracking techniques, as current methods are expensive, time-consuming, and not always successful. Additionally, the application of OSINT techniques in cyber intelligence tasks presents challenges, including the need for appropriate transforms and the implementation of machine learning models for sentiment analysis.
What is OSINT?4 answersOpen Source Intelligence (OSINT) is a branch of intelligence that gathers, analyzes, and combines information from multiple sources across the entire cyberspace to provide information. It involves collecting, processing, analyzing, and correlating publicly available information to produce intelligence. OSINT utilizes open sources and tools to search, collect, and analyze information from publicly accessible online servers or sources. It is used to gather insights from open source data, revealing information on various subjects such as business partners, clients, suppliers, and workers. OSINT is also employed in counterterrorism and cyberterrorism activities, where it helps in gathering and analyzing public information from social networking sites. Overall, OSINT is a concept that involves the search, collection, analysis, and use of information from open sources, using various techniques and tools.
What AI tools there is?5 answersAI tools encompass a wide range of mathematical procedures that can be used to gain, explore, and exploit knowledge during the design process. These tools include neural networks, evolutionary computing, and classifier systems, among others. They can be used to collect data, optimize design options, and make rational decisions about product configurations. In the field of ophthalmology, AI tools have been developed for various applications, such as fundus image analysis, optical coherence tomography analysis, automated refraction, virtual assistants and chatbots, surgical planning and guidance, and disease progression prediction. Open-access AI tools, such as RetinaNet, DeepDR, Ilastik, and TensorFlow, have also been developed specifically for ophthalmology research. Additionally, AI tools like ChatGPT have been introduced to empower conversations and provide information, symptom assessment, patient triage, medication information, lifestyle recommendations, and support for preoperative and postoperative care in ophthalmology. AI tools have the potential to revolutionize ophthalmic care and improve patient outcomes.