Incident Response: Network Forensics
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Incident response: Introduction
The document discusses various topics related to incident response, including risk analysis, common threats, and investigation techniques. It provides an overview of risk analysis frameworks, outlines some typical threats like rogue wireless access points and password reuse, and describes approaches for gathering evidence from network logs, user devices, and other sources during an investigation.
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Untuk penggiat Cyber Security dan Sertifikasi dari isaca csx-update-18_apr - ...
Untuk penggiat Cyber Security dan Sertifikasi dari isaca csx-update-18_apr - ...Sarwono Sutikno, Dr.Eng.,CISA,CISSP,CISM,CSX-F
Semua jaringan dapat ditembus itu kesimpulan studi ISACA dan EY dalam Responding to Targeted Cyberattacks, ISBN: 978-1-60420-337-0 tahun 2013. Dalam presentasi ini ISACA menjabarkan sertifikasi personal terkait cyber dari Cybersecurity Fundamental, CYbersecurity Practioner dengan lima spesialisasi keahlian teknik Identity, Detect, Protect, Respond dan Recover serangan cyber.
Kemuadian sertifikasi personel yang paling atas adalah CSX Expert.Recommended
Incident response: Introduction
The document discusses various topics related to incident response, including risk analysis, common threats, and investigation techniques. It provides an overview of risk analysis frameworks, outlines some typical threats like rogue wireless access points and password reuse, and describes approaches for gathering evidence from network logs, user devices, and other sources during an investigation.
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Incident Response: SIEM Part II
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e-Frality - Adrian Smales and Brian Brown (CM2000)
The document discusses e-frailty research being conducted by CM2000 in Scotland to identify risks for vulnerable populations. Metrics such as body composition, grip strength, activity levels and sleep patterns are captured from devices and assessments to develop a wellness/frailty scale. Risks identified include dehydration, weight loss, and restlessness. The data is being used to predict falls and early dementia through partnerships with other organizations. Target groups for risk identification include known fallers, patients in rehab, and those with mental/memory issues receiving low-level telecare support.
Trust and Governance in Health and Social Care
The document discusses challenges with information sharing across health and social care systems in the UK, including different data formats, lack of integration, and lack of trust. It describes a project by Symphonic Software to deliver a governance layer for the London Digital Programme, which aims to allow the 7,000 organizations involved in patient care in London to access patient records while meeting data controller agreements and patient consent preferences. The governance layer will provide policy translation, identity management, and automated generation of information sharing policies to improve integrated care.
Blockchain and Health - James Little-john
This document discusses a vision for using blockchain technology to improve healthcare by keeping science honest through proof of evidence. It proposes using blockchain to create a personal health and precision medicine network where health data from sensors, genetics, and medical records would be stored securely and validated in real-time. This network could support evidence-based protocols and precision medicine by facilitating secure sharing of clinical trial data, diagnostic images, and other medical evidence in a way that is validated and self-regulated by the network. The document concludes by proposing building a test network using x-ray workflow data as a demo and then working to further develop and deploy the vision.
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Incident Response: SIEM
The document discusses network security topics including SIEM, logs, NetFlow, web logs, and security standards. It provides examples of configuring Cisco routers to collect NetFlow data and export it to a SIEM system. Splunk and HP ArcSight are mentioned as examples of SIEM systems that can aggregate and correlate log data from various sources for security monitoring, analysis, and incident response.
Population Health Management - Angus McCann
Population health management focuses on proactively managing the health of an entire population. It involves taking a comprehensive view of factors that influence health beyond just medical care, such as social determinants. Key aspects include risk stratifying the population to target high-risk groups, promoting prevention and wellness, coordinating care across providers and agencies, engaging patients through self-management support, and using data analytics. The approach aims to shift from reactive care to proactively managing health at the individual level within the context of the overall population.
LIquidity and Validity - Jan Gill
This document discusses challenges in accurately measuring alcohol consumption at a population level. It is difficult to get a representative sample of all drinkers in population surveys due to issues with self-reporting. Sales data may provide a more reliable estimate but can overestimate consumption due to factors like tourists' purchases being included. Even retrospective analyses of longitudinal studies face issues if questionnaire wording and measurements of drinks are not consistent over time. Accurately monitoring consumption across different groups is challenging for informing policy.
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This document discusses user behavioral analytics and machine learning for threat detection. It summarizes that legacy security information and event management (SIEM) technologies are not adequate for detecting insider threats and advanced adversaries. It then describes how user behavioral analytics uses machine learning to develop multi-entity behavioral models across users, applications, hosts, and networks to detect anomalous behavior indicative of insider threats or advanced cyberattacks. Contact information is provided for the security consultant presenting on this topic.
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Now we see the evolution of Hybrid Warfare, Cybercrime and Terrorism. To mitigate to Terror Attacks we urgently need to integrate Real-Time Cybersecurity Solutions with Physical Surveillance in Business, Campus, Cities And Nationwide! In this presentation we discuss both Historic & Current Cyber Threats and practical options to minimise the risks of future Terror Attacks through Integrated Physical-Cybersecurity Solutions. We briefly review the United Nations/ITU, NATO and NIST Cybersecurity Frameworks, and the threats on Critical National Information Infrastructure. Finally we suggest the TOP Actions for Chief Security Officers (CSO) to mitigate Attacks within their own Security Operations. This invited presentation was given @ the International East-West Security Conference at the Marriott Courtyard Hotel in Prague - June 2016.
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This document discusses machine learning approaches for cyber security, specifically malware detection. It begins with an introduction to cyber security and machine learning. It then discusses using machine learning for malware detection, including analyzing files through static and dynamic analysis. The document outlines extracting features from files and using text categorization approaches. It evaluates various machine learning classifiers and features for malware detection. Finally, it discusses applying these techniques on Android devices for abnormal state detection.
Artificial Intelligence and Machine Learning for Cybersecurity
The talk discusses the application of artificial intelligence and machine learning to enterprise cybersecurity. The topics include self-learning, stochastic cellular automata, adaptive & self-organising systems and recursive Bayesian algorithms. The talk briefly surveys several cybersecurity companies including Darktrace, Logrhythm and Norse Corporation. There is also discussion of the application of AI and neural networks within the Banking sector for "Algorithmic Trading" during the last 10 to 20 years. These techniques are now highly relevant, and even ESSENTIAL, for the provision of real-time enterprise cybersecurity to complement traditional "signature" based anti-virus & firewall based solutions. The talk closes with the presentations for the future of Cybersecurity in 2020, 2025 and 2040 including reference to similar forecasts from both Business & Governments. The talk was given by Dr David Eric Probert at the East-West International Security Conference at the Melia Galgos Hotel in Madrid, Spain on the Tuesday 27th October 2015.
Incident response: Advanced Network Forensics
This document discusses various techniques for advanced network forensics, including user/password cracking using Hydra, port scanning using Nmap, signature detection by analyzing file types in network payloads, and detecting converted file formats like MIME encoding. It provides examples of using tools like Hydra, Nmap, and Snort rules to detect activities like password cracking, port scanning, and the transmission of files like PDFs and images over the network.
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By A.K. Vishwanathan, Senior Director – Enterprise Risk Services, Deloitte India
Vis is a Chartered Accountant, has a Certified in Risk and Information System Control (CRISC) and a member of the Information Systems Audit and Controls Association (ISACA).
He has advised large organisations in their endeavour in information security and controls, and led risk consulting in complex environments and regulated industries; specifically banking and financial services, telecom, manufacturing, oil and gas, pharma and life sciences and government sector.
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core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
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.
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