In depth presentation covers market trends and risks related to network security & big data analytics. The presentation was given by Matan Trogan at Cybertech Singapore.
Big Data Security Analytics (BDSA) with Randy FranklinSridhar Karnam
The document discusses big data security analytics and how HP addresses related challenges. It notes that big data analytics for security requires real-time analysis of high-volume, diverse data streams. While many big data solutions focus on batch analytics, security demands real-time correlation and detection of threats. The document outlines how HP's ArcSight platform collects, correlates, and analyzes security data from many sources in real-time. It also explains how HP uses Hadoop for long-term storage and analytics, and Autonomy for semantic analysis of unstructured data to enable predictive security.
Security Analytics and Big Data: What You Need to KnowMapR Technologies
The number of attacks on organization's' IT infrastructure are continuously increasing. It is becoming more and more difficult to identify unknown threats, in particular. This problem requires the ability to store more data and better tools to analyze the data.
Learn in this webinar why big data is enabling new security analytics solutions and why the MapR Quick Start Solution for Security Analytics offers an easy starting point for faster and deeper security analytics.
Big Data Analytics to Enhance Security
Predictive Analtycis and Data Science Conference May 27-28
Anapat Pipatkitibodee
Technical Manager
anapat.p@Stelligence.com
In January IBM Security Systems has announced a new solution wherein it combines the security intelligence capabilities of QRadar SIEM and Big Data + analytics to
The only way to get where we need to be in security analysis is if we use Security Intelligence. This means working harder and understanding the big picture of your data.
ThinAir speaking session on endpoint data visibility and healthcare security compliance by Brian Reed. Connect with us on LinkedIn or twitter @thinairlabs for more details and live demo
Big Data Security Analytics (BDSA) with Randy FranklinSridhar Karnam
The document discusses big data security analytics and how HP addresses related challenges. It notes that big data analytics for security requires real-time analysis of high-volume, diverse data streams. While many big data solutions focus on batch analytics, security demands real-time correlation and detection of threats. The document outlines how HP's ArcSight platform collects, correlates, and analyzes security data from many sources in real-time. It also explains how HP uses Hadoop for long-term storage and analytics, and Autonomy for semantic analysis of unstructured data to enable predictive security.
Security Analytics and Big Data: What You Need to KnowMapR Technologies
The number of attacks on organization's' IT infrastructure are continuously increasing. It is becoming more and more difficult to identify unknown threats, in particular. This problem requires the ability to store more data and better tools to analyze the data.
Learn in this webinar why big data is enabling new security analytics solutions and why the MapR Quick Start Solution for Security Analytics offers an easy starting point for faster and deeper security analytics.
Big Data Analytics to Enhance Security
Predictive Analtycis and Data Science Conference May 27-28
Anapat Pipatkitibodee
Technical Manager
anapat.p@Stelligence.com
In January IBM Security Systems has announced a new solution wherein it combines the security intelligence capabilities of QRadar SIEM and Big Data + analytics to
The only way to get where we need to be in security analysis is if we use Security Intelligence. This means working harder and understanding the big picture of your data.
ThinAir speaking session on endpoint data visibility and healthcare security compliance by Brian Reed. Connect with us on LinkedIn or twitter @thinairlabs for more details and live demo
The document discusses user and entity behavior analytics (UEBA), which analyzes user and system behavior to detect threats and anomalies. UEBA goes beyond traditional security information and event management (SIEM) tools by using machine learning instead of rule-based detection. UEBA vendors study behaviors at the user, application, device and server levels to create profiles and detect deviations that could indicate insider threats, data exfiltration or compromised accounts. The UEBA market is growing as organizations increasingly need to detect complex, unknown threats like insider threats. UEBA has limitations but can be a valuable part of a security analytics platform when integrated with other tools.
Myths and realities of data security and compliance - Isaca Alanta - ulf matt...Ulf Mattsson
Myths & Realities of Data Security & Compliance - ISACA Atlanta - Ulf Mattsson Jul 22 2016.
Data breaches are on the rise. The constant threat of cyber attacks combined with the high cost and a shortage of skilled security engineers has put many companies at risk. There is a shift in cybersecurity investment and IT risk and security leaders must move from trying to prevent every threat and acknowledge that perfect protection is not achievable. PCI DSS 3.2 is out with an important update on data discovery and requirements to detect security control failures.
In this session, cybersecurity expert Ulf Mattsson will highlight current trends in the security landscape based on major industry report findings, and discuss how we should re-think our security approach.
How the latest trends in data security can help your data protection strategy...Ulf Mattsson
Data breaches are on the rise. The constant threat of cyber attacks combined with the high cost and a shortage of skilled security engineers has put many companies at risk. There is a shift in cybersecurity investment and IT risk and security leaders must move from trying to prevent every threat and acknowledge that perfect protection is not achievable. PCI DSS 3.2 is out with an important update on data discovery and requirements to detect security control failures.
In this webinar, cybersecurity expert Ulf Mattsson will highlight current trends in the security landscape based on major industry report findings, and discuss how we should re-think our security approach.
Cybersecurity 2014: The Impact of Policies and Regulations on Companies by Andrea Almeida from the First Semi-Annual Cyber Security Conference in Plano, Texas held September 26-27, 2014.
This document summarizes an presentation about operationalizing security intelligence. It discusses three key aspects:
1. Using risk-based analytics to prioritize alerts based on correlating events over time and assigning risk scores to hosts. This helps determine which alerts require immediate investigation.
2. Adding context to alerts by integrating data from different technologies, matching context, and acquiring additional context through APIs. This provides more insight into prioritizing alerts.
3. Connecting security data with people by enabling human-mediated automation, collaboration, free-form investigation through interactive views and workflows. This allows leveraging all security data and human intuition in investigations.
The presentation promotes operationalizing security intelligence through these approaches and evaluating Spl
Threat Ready Data: Protect Data from the Inside and the OutsideDLT Solutions
Is your current state really threat ready?
Amit Walia, Senior Vice President, General Manager of Data Integration and Security at Informatica, shares how to protect data from the inside and the outside from the 2015 Informatica Government Summit.
FIRST CTI Symposium: Turning intelligence into action with MITRE ATT&CK™Katie Nickels
Katie Nickels and Adam Pennington presented "Turning intelligence into action with MITRE ATT&CK™" at the FIRST CTI Symposium in London on 20 March 2019.
Security Intelligence: Finding and Stopping Attackers with Big Data AnalyticsIBM Security
The document discusses the need for new security approaches using big data and advanced analytics to address modern security challenges. It notes that yesterday's security practices are insufficient, and that automated big data security solutions using integrated defenses across cloud, mobile, and on-premise systems can help organizations stay ahead of threats by providing greater intelligence, innovation, and integration.
Forcepoint offers a Data Loss Prevention (DLP) solution that takes a human-centric approach to data security. It focuses on gaining visibility into user interactions with data across endpoints, cloud applications, and networks in order to apply appropriate controls based on the user's risk level and the sensitivity of the data. The solution aims to accelerate compliance with regulations, empower users to protect data, provide advanced detection of potential data loss through machine learning and fingerprinting techniques, and prioritize security incidents by risk level. It combines DLP capabilities across endpoints, cloud applications, and the network from a single point of control.
How is ai important to the future of cyber security Robert Smith
Today’s era is driven by technology in every aspect of our lives, so much that we’ve now increased our dependence on technology on a daily basis. With an increase in the dependency, we’re now very vulnerable and exposed to the intermittent threat posed as cyber-attacks. Cyber-attack threats have plagued businesses, corporates, governments, and institutions.
LogSentinel SIEM is a cutting-edge next-generation security information and event management (SIEM) system offering simplicity, predictability, and innovation like nobody else on the market. By leveraging the latest innovations in technology like blockchain and machine learning, it helps organizations of all sizes and industries to eliminate their blind spots and reduce the time and cost of incident detection and investigation.
LogSentinel SIEM offers one-of-a-kind security innovation: privacy of logs, audit log integrity, unlimited retention, and full visibility, all at a flat and predictable fee. Our zero-setup cloud SIEM, our open-source agent, and built-in CASB can handle every system and every setup (local, cloud, legacy systems, on-prem, or cloud infrastructure) even in complex organizations.
Learn more at https://logsentinel.com/
Cybersecurity: How to Use What We Already Knowjxyz
Slides from my PSR keynote on how to secure software by bridging the gap between research and practice.
Video: https://t.co/mRr4CMrfKN
Event: https://iapp.org/conference/privacy-security-risk-2015
Victims of damaging cyber breaches make the news every week – don’t become one of them! The rate of breaches continues to go up every year and it is not just experienced by large companies. Companies need to have the ability to: View “Holistic attack surface”,2. Mission realization, and 3.Kill the threat easily 60% of breached organizations included in the 2015 Verizon DBIR were initially compromised within minutes, and yet for most of those organizations it took hundreds of days to detect the intruders. Fortunately, an intrusion does not equal a breach. In fact, there are usually several steps that typically follow an initial compromise before the bad guys get away with the goods or disrupt a critical service. Detecting early warning signs such as an initial system compromise, command and control activity or suspicious lateral movement of intruders can provide the necessary lead time to respond and defuse. Logrhythm help organizations reduce MEAN TIME TO DETECT & MEAN TIME TO RESPOND. Omar Barakat, Regional Channel Manager – Middle East, Turkey & Africa, Logrhythm Threat Life Cycle Management
One Year After WannaCry - Has Anything Changed? A Root Cause Analysis of Data...Forcepoint LLC
This 20 minute talk was delivered by Forcepoint Principal Security Analyst Carl Leonard at Infosecurity Europe 2018. Delivered to the Strategy track this talk provides a review of the macro trends affecting businesses today, reviews root cause of standout data breaches, highlights the security risk presented by employees, and offers guidance on how to protect your business from specific root causes.
Security Incident and Event Management (SIEM) - Managed and Hosted Solutions ...Sirius
SIEM technology has been around for years and continues to enjoy broad market adoption. Companies continue to rely on SIEM capabilities to handle proactive security monitoring, detection and response, and regulatory compliance. However, with today’s staggering volume of cyber-security threats and the number of security devices, network infrastructures and system logs, IT security staff can become quickly overwhelmed.
Gartner projects that by 2020:
-- 50% of new SIEM implementations will be delivered via SIEM as a service.
-- 60% of all advanced security analytics will be delivered from the cloud as part of SIEM-as-a-service offerings.
Data loss prevention by using MRSH-v2 algorithm IJECEIAES
Sensitive data may be stored in different forms. Not only legal owners but also malicious people are interesting of getting sensitive data. Exposing valuable data to others leads to severe Consequences. Customers, organizations, and /or companies lose their money and reputation due to data breaches. There are many reasons for data leakages. Internal threats such as human mistakes and external threats such as DDoS attacks are two main reasons for data loss. In general, data may be categorized based into three kinds: data in use, data at rest, and data in motion. Data Loss Prevention (DLP) are good tools to identify important data. DLP can do analysis for data content and send feedback to administrators to make decision such as filtering, deleting, or encryption. Data Loss Prevention (DLP) tools are not a final solution for data breaches, but they consider good security tools to eliminate malicious activities and protect sensitive information. There are many kinds of DLP techniques, and approximation matching is one of them. Mrsh-v2 is one type of approximation matching. It is implemented and evaluated by using TS dataset and confusion matrix. Finally, Mrsh-v2 has high score of true positive and sensitivity, and it has low score of false negative.
Learn how Splunk, a leading Big Data SIEM, is used by thousands of customers for incident investigations/forensics, known and unknown threat detection, fraud detection, security and compliance reporting, and more.
The document describes the Blueliv cyber threat intelligence platform. It detects cyber threats from outside an organization's network by monitoring the open, dark and deep web for stolen credentials, compromised credit cards, infected devices, rogue apps, leaked documents and phishing sites targeting the organization. The platform provides threat intelligence and monitoring from a single dashboard, reduces response times for incidents, and is easy to deploy and use. It collects data from multiple sources, processes and enriches it, and delivers targeted and actionable intelligence to help organizations protect their networks, data and brands from external cyber threats.
Customer Spotlight:Deploying a Data Protection Program in less than 120 DaysDigital Guardian
Despite a limited budget, Jabil's small security team was under pressure from Senior Management to mature their security program - FAST! Michael Ring, IT Security Architect at Jabil shares how they deployed their solution to over 40,000 users in less than 120 days.
This document discusses using Hadoop for network and security analytics. It describes network and security analytics as finding malicious traffic among large amounts of network data. Hadoop can help solve problems by allowing analysis of huge datasets using multiple algorithms and approaches. The document provides an example workflow of using Hadoop to detect a polymorphic botnet and discusses lessons learned, emphasizing using the right tools for each part of the analysis process.
This presentation, by big data guru Bernard Marr, outlines in simple terms what Big Data is and how it is used today. It covers the 5 V's of Big Data as well as a number of high value use cases.
The document discusses user and entity behavior analytics (UEBA), which analyzes user and system behavior to detect threats and anomalies. UEBA goes beyond traditional security information and event management (SIEM) tools by using machine learning instead of rule-based detection. UEBA vendors study behaviors at the user, application, device and server levels to create profiles and detect deviations that could indicate insider threats, data exfiltration or compromised accounts. The UEBA market is growing as organizations increasingly need to detect complex, unknown threats like insider threats. UEBA has limitations but can be a valuable part of a security analytics platform when integrated with other tools.
Myths and realities of data security and compliance - Isaca Alanta - ulf matt...Ulf Mattsson
Myths & Realities of Data Security & Compliance - ISACA Atlanta - Ulf Mattsson Jul 22 2016.
Data breaches are on the rise. The constant threat of cyber attacks combined with the high cost and a shortage of skilled security engineers has put many companies at risk. There is a shift in cybersecurity investment and IT risk and security leaders must move from trying to prevent every threat and acknowledge that perfect protection is not achievable. PCI DSS 3.2 is out with an important update on data discovery and requirements to detect security control failures.
In this session, cybersecurity expert Ulf Mattsson will highlight current trends in the security landscape based on major industry report findings, and discuss how we should re-think our security approach.
How the latest trends in data security can help your data protection strategy...Ulf Mattsson
Data breaches are on the rise. The constant threat of cyber attacks combined with the high cost and a shortage of skilled security engineers has put many companies at risk. There is a shift in cybersecurity investment and IT risk and security leaders must move from trying to prevent every threat and acknowledge that perfect protection is not achievable. PCI DSS 3.2 is out with an important update on data discovery and requirements to detect security control failures.
In this webinar, cybersecurity expert Ulf Mattsson will highlight current trends in the security landscape based on major industry report findings, and discuss how we should re-think our security approach.
Cybersecurity 2014: The Impact of Policies and Regulations on Companies by Andrea Almeida from the First Semi-Annual Cyber Security Conference in Plano, Texas held September 26-27, 2014.
This document summarizes an presentation about operationalizing security intelligence. It discusses three key aspects:
1. Using risk-based analytics to prioritize alerts based on correlating events over time and assigning risk scores to hosts. This helps determine which alerts require immediate investigation.
2. Adding context to alerts by integrating data from different technologies, matching context, and acquiring additional context through APIs. This provides more insight into prioritizing alerts.
3. Connecting security data with people by enabling human-mediated automation, collaboration, free-form investigation through interactive views and workflows. This allows leveraging all security data and human intuition in investigations.
The presentation promotes operationalizing security intelligence through these approaches and evaluating Spl
Threat Ready Data: Protect Data from the Inside and the OutsideDLT Solutions
Is your current state really threat ready?
Amit Walia, Senior Vice President, General Manager of Data Integration and Security at Informatica, shares how to protect data from the inside and the outside from the 2015 Informatica Government Summit.
FIRST CTI Symposium: Turning intelligence into action with MITRE ATT&CK™Katie Nickels
Katie Nickels and Adam Pennington presented "Turning intelligence into action with MITRE ATT&CK™" at the FIRST CTI Symposium in London on 20 March 2019.
Security Intelligence: Finding and Stopping Attackers with Big Data AnalyticsIBM Security
The document discusses the need for new security approaches using big data and advanced analytics to address modern security challenges. It notes that yesterday's security practices are insufficient, and that automated big data security solutions using integrated defenses across cloud, mobile, and on-premise systems can help organizations stay ahead of threats by providing greater intelligence, innovation, and integration.
Forcepoint offers a Data Loss Prevention (DLP) solution that takes a human-centric approach to data security. It focuses on gaining visibility into user interactions with data across endpoints, cloud applications, and networks in order to apply appropriate controls based on the user's risk level and the sensitivity of the data. The solution aims to accelerate compliance with regulations, empower users to protect data, provide advanced detection of potential data loss through machine learning and fingerprinting techniques, and prioritize security incidents by risk level. It combines DLP capabilities across endpoints, cloud applications, and the network from a single point of control.
How is ai important to the future of cyber security Robert Smith
Today’s era is driven by technology in every aspect of our lives, so much that we’ve now increased our dependence on technology on a daily basis. With an increase in the dependency, we’re now very vulnerable and exposed to the intermittent threat posed as cyber-attacks. Cyber-attack threats have plagued businesses, corporates, governments, and institutions.
LogSentinel SIEM is a cutting-edge next-generation security information and event management (SIEM) system offering simplicity, predictability, and innovation like nobody else on the market. By leveraging the latest innovations in technology like blockchain and machine learning, it helps organizations of all sizes and industries to eliminate their blind spots and reduce the time and cost of incident detection and investigation.
LogSentinel SIEM offers one-of-a-kind security innovation: privacy of logs, audit log integrity, unlimited retention, and full visibility, all at a flat and predictable fee. Our zero-setup cloud SIEM, our open-source agent, and built-in CASB can handle every system and every setup (local, cloud, legacy systems, on-prem, or cloud infrastructure) even in complex organizations.
Learn more at https://logsentinel.com/
Cybersecurity: How to Use What We Already Knowjxyz
Slides from my PSR keynote on how to secure software by bridging the gap between research and practice.
Video: https://t.co/mRr4CMrfKN
Event: https://iapp.org/conference/privacy-security-risk-2015
Victims of damaging cyber breaches make the news every week – don’t become one of them! The rate of breaches continues to go up every year and it is not just experienced by large companies. Companies need to have the ability to: View “Holistic attack surface”,2. Mission realization, and 3.Kill the threat easily 60% of breached organizations included in the 2015 Verizon DBIR were initially compromised within minutes, and yet for most of those organizations it took hundreds of days to detect the intruders. Fortunately, an intrusion does not equal a breach. In fact, there are usually several steps that typically follow an initial compromise before the bad guys get away with the goods or disrupt a critical service. Detecting early warning signs such as an initial system compromise, command and control activity or suspicious lateral movement of intruders can provide the necessary lead time to respond and defuse. Logrhythm help organizations reduce MEAN TIME TO DETECT & MEAN TIME TO RESPOND. Omar Barakat, Regional Channel Manager – Middle East, Turkey & Africa, Logrhythm Threat Life Cycle Management
One Year After WannaCry - Has Anything Changed? A Root Cause Analysis of Data...Forcepoint LLC
This 20 minute talk was delivered by Forcepoint Principal Security Analyst Carl Leonard at Infosecurity Europe 2018. Delivered to the Strategy track this talk provides a review of the macro trends affecting businesses today, reviews root cause of standout data breaches, highlights the security risk presented by employees, and offers guidance on how to protect your business from specific root causes.
Security Incident and Event Management (SIEM) - Managed and Hosted Solutions ...Sirius
SIEM technology has been around for years and continues to enjoy broad market adoption. Companies continue to rely on SIEM capabilities to handle proactive security monitoring, detection and response, and regulatory compliance. However, with today’s staggering volume of cyber-security threats and the number of security devices, network infrastructures and system logs, IT security staff can become quickly overwhelmed.
Gartner projects that by 2020:
-- 50% of new SIEM implementations will be delivered via SIEM as a service.
-- 60% of all advanced security analytics will be delivered from the cloud as part of SIEM-as-a-service offerings.
Data loss prevention by using MRSH-v2 algorithm IJECEIAES
Sensitive data may be stored in different forms. Not only legal owners but also malicious people are interesting of getting sensitive data. Exposing valuable data to others leads to severe Consequences. Customers, organizations, and /or companies lose their money and reputation due to data breaches. There are many reasons for data leakages. Internal threats such as human mistakes and external threats such as DDoS attacks are two main reasons for data loss. In general, data may be categorized based into three kinds: data in use, data at rest, and data in motion. Data Loss Prevention (DLP) are good tools to identify important data. DLP can do analysis for data content and send feedback to administrators to make decision such as filtering, deleting, or encryption. Data Loss Prevention (DLP) tools are not a final solution for data breaches, but they consider good security tools to eliminate malicious activities and protect sensitive information. There are many kinds of DLP techniques, and approximation matching is one of them. Mrsh-v2 is one type of approximation matching. It is implemented and evaluated by using TS dataset and confusion matrix. Finally, Mrsh-v2 has high score of true positive and sensitivity, and it has low score of false negative.
Learn how Splunk, a leading Big Data SIEM, is used by thousands of customers for incident investigations/forensics, known and unknown threat detection, fraud detection, security and compliance reporting, and more.
The document describes the Blueliv cyber threat intelligence platform. It detects cyber threats from outside an organization's network by monitoring the open, dark and deep web for stolen credentials, compromised credit cards, infected devices, rogue apps, leaked documents and phishing sites targeting the organization. The platform provides threat intelligence and monitoring from a single dashboard, reduces response times for incidents, and is easy to deploy and use. It collects data from multiple sources, processes and enriches it, and delivers targeted and actionable intelligence to help organizations protect their networks, data and brands from external cyber threats.
Customer Spotlight:Deploying a Data Protection Program in less than 120 DaysDigital Guardian
Despite a limited budget, Jabil's small security team was under pressure from Senior Management to mature their security program - FAST! Michael Ring, IT Security Architect at Jabil shares how they deployed their solution to over 40,000 users in less than 120 days.
This document discusses using Hadoop for network and security analytics. It describes network and security analytics as finding malicious traffic among large amounts of network data. Hadoop can help solve problems by allowing analysis of huge datasets using multiple algorithms and approaches. The document provides an example workflow of using Hadoop to detect a polymorphic botnet and discusses lessons learned, emphasizing using the right tools for each part of the analysis process.
This presentation, by big data guru Bernard Marr, outlines in simple terms what Big Data is and how it is used today. It covers the 5 V's of Big Data as well as a number of high value use cases.
Big Data and Security - Where are we now? (2015)Peter Wood
Peter Wood started looking at Big Data as a solution for Advanced Threat Protection in 2013. This presentation examines how Big Data is being used for security in 2015, how this market is developing and how realistic vendor offerings are.
This document discusses security for big data systems like Hadoop. It describes the evolution of security features from basic file permissions and job queue access control lists added in early versions of Hadoop to modern features like Kerberos authentication, encryption of data in transit and at rest, and cell-level security in systems like Accumulo and HBase. It also outlines some priorities for the future, like more granular encryption APIs and improved security integration with tools like Hive.
This document provides an overview of big data. It defines big data as large volumes of diverse data that are growing rapidly and require new techniques to capture, store, distribute, manage, and analyze. The key characteristics of big data are volume, velocity, and variety. Common sources of big data include sensors, mobile devices, social media, and business transactions. Tools like Hadoop and MapReduce are used to store and process big data across distributed systems. Applications of big data include smarter healthcare, traffic control, and personalized marketing. The future of big data is promising with the market expected to grow substantially in the coming years.
This document provides an overview of security analytics from the perspective of Simon Bennett, who works in networking and information security. It discusses the need for security as an IT service to prevent downtime, loss of reputation, data, and intellectual property from threats like DDoS attacks and malware infections. Security analytics is defined as examining all possible data sources, including technical logs, informational sources on the internet, and personal contacts, to glean intelligence. This intelligence can then be used to analyze firewall and other security device traffic logs to detect anomalies. The document also briefly outlines the history of firewalls and how next generation firewalls can implement more advanced policies than early stateful firewalls through powerful analysis of network traffic.
The document discusses two topics: a new university password policy and fun with PHP. The password policy summary points include yearly password changes, minimum length of 6 characters including two digits or punctuation, and locking out accounts after 5 failed attempts. The PHP section provides a brief history and overview of PHP, noting it is a powerful but flexible server-side scripting language that can enable massive security holes if not coded properly. It encourages validating all user input and provides some examples of attacks seen on PHP applications.
IP&A109 Next-Generation Analytics Architecture for the Year 2020Anjan Roy, PMP
The document discusses next generation information architecture. It describes how traditional architectures are no longer sufficient to handle big data and varied sources. A next generation architecture features a data lake that stores all data in its native format without schema. It also includes an analytics fabric and cloud fabric to enable flexible, scalable analysis and lower costs. This architecture supports self-service analytics, predictive modeling, and real-time insights across diverse data.
Drug Registration in GCC (Gulf Cooperation Council) - by Akshay AnandAkshay Anand
A presentation on Drug Registration in GCC Region. This was presented as a part of curriculum by Akshay Anand in JSS College of Pharmacy, Mysuru during March 2015.
AASR Authenticated Anonymous Secure Routing for MANETs in Adversarial Environ...AAKASH S
The document discusses a routing protocol called AASR for mobile ad hoc networks (MANETs) operating in adversarial environments. The objectives of AASR are to provide anonymity, location privacy, and defend against active attacks while maintaining throughput and reducing packet loss. It aims to achieve this through the use of group signatures, onion routing, and trapdoors to hide the identities of nodes and destinations of packets. The document reviews related work on onion routing, group signatures, and anonymous on-demand routing protocols. It also outlines some attacks on MANETs like location privacy attacks and discusses how the proposed framework uses techniques like trapdoors, asymmetric keys, and pseudonyms to make routing anonymous and untraceable.
Envisioning the Next Generation of AnalyticsLora Cecere
The presentation during a panel discussion at the Supply Chain Insights Global Summit in Scottsdale, AZ on September 10, 2014.
Envisioning the Next Generation of Analytics
Join this panel to hear case studies on new ways to use analytics and unleash the Art of the Possible. Gain new insights for the use of cognitive learning, concurrent optimization, and embracing new forms of data.
The panel included:
Facilitator: Lora Cecere, Founder and CEO of Supply Chain Insights
Dr. Mani Janakiram, Director of Supply Chain Strategy at Intel
Stephen N. Wagner, Global Supply Chain, Global Director, Network Design & Logistics Analytics at Schneider Electric
D&C Act 1940 Schedule Y - A Presentation by Akshay AnandAkshay Anand
The document discusses the Drugs and Cosmetics Act of 1940 and Rules of 1945, specifically Schedule Y which governs new drugs. It covers the history of the act, introduction to Schedule Y, rules that govern drugs listed in Schedule Y, and steps involved in the process. The conclusion thanks the reader.
A brief run-through of the economics of controls, threats and how attackers and defenders think. Following an introduction to the current and next generation security analytics.
Mobile Medical Apps and FDA Regulatory ApproachAkshay Anand
A presentation on Food Safety and Standards Authority of India. This was presented as a part of curriculum by Akshay Anand in JSS College of Pharmacy, Mysuru during March 2015
Dataguise & MapR: Action Items for the Financial IndustryMapR Technologies
The risks and challenges for the financial industry have increased exponentially over the last few years. The key challenge has been to fully leverage big data without exposing or risking sensitive information.
Not only is the financial industry subject to a multitude of regulatory compliance issues in terms of data protection, they also face production challenges such as maintaining performance, scalability, and high availability.
This webinar was given on May 1st, 2014 and talked about:
- Best practices for achieving performance, reliability and protection of sensitive data in Hadoop deployments
- Innovative capabilities to help you meet regulatory compliance and risk management requirements
- Use cases to illustrate how big data can maximize returns on your investment, while minimizing risks
- The 5 action items you should take to get started
Speakers:
Jeremy Stieglitz, VP of Product Management, Dataguise
Dale Kim, Director of Product Marketing, MapR
Onion routing and tor: Fundamentals and Anonymityanurag singh
Onion Routing and Tor: Fundamentals and anonymity discusses anonymity on the internet and how Tor works to provide anonymity. It explains that traditional IP addresses and browser tracking can be linked to a user's identity. Tor creates circuits through multiple relay nodes to hide a user's location and communications. Key features of Tor include using volunteer-run relay nodes, protecting against traffic analysis, and enabling hidden services to host anonymous websites. While Tor enhances anonymity, it cannot prevent all timing attacks if the start and end of a user's traffic can be observed.
O documento lista empresas do setor de alimentos no Paraná, incluindo seus CNPJs, endereços, áreas de atuação e, em alguns casos, produtos exportados e seus destinos. A maioria das empresas atua com carnes e produtos cárneos de aves, suínos e bovinos. Algumas empresas também trabalham com lácteos, mel e farinha de carne e osso. A exportação ocorre principalmente para a União Europeia, Hong Kong e outros países da Ásia e do Oriente Médio.
This document discusses 5 different application security models: database role based, application role based, application function based, application role and function based, and application table based. For each model, it describes the key tables used to implement the model, how privileges are assigned, and some characteristics of the model. The models aim to provide data security and access protection at the table level through different approaches to assigning privileges to users.
Key Findings from the 2015 IBM Cyber Security Intelligence IndexIBM Security
View on-demand presentation: http://securityintelligence.com/events/ibm-2015-cyber-security-intelligence-index/
The cyber threat landscape is increasing in complexity and frequency. Organizations that have historically not been the target of cyber attacks now make headline news with large data losses and compromised transactions. Organizations need a clear point of view on how to respond to these threats, and one that incorporates not only the relevant technology but also the organizational changes needed.
Nick Bradley, Practice Leader of the IBM Threat Research Group and the X-Force Threat Analysis Team, and Nick Coleman, Global Head Cyber Security Intelligence Services outline what organizations need to do now and in the future to stay ahead of the growing cyber security threat.
This document discusses securing systems of engagement against cyber threats. It begins with an overview of cyber security definitions, common attack methods and challenges. New technologies like cloud, mobile, big data and social media create new opportunities for cyber crimes but also require smarter security approaches. Risk management principles of monitoring threats, understanding systems, assessing impact and designing containment are recommended over perfect defenses. Securing mobile devices involves enrollment/access control, security policies, secure data containers and remote wipe. A secure social business requires leadership setting the right culture, clear processes, education and testing of applications. The future of security is predicted to involve contextual, adaptive approaches with multi-level monitoring, big data analytics, and adaptive, optimized responses.
In 2013, targeted attacks increased, with spear-phishing attacks rising 91% over 2012. Watering hole attacks utilizing unpatched website vulnerabilities and zero-day exploits also grew. Eight data breaches exposed over 10 million identities each, termed "mega breaches". A total of 552 million identities were breached in 2013, over 5 times more than the 93 million in 2012. Web attacks blocked per day rose 23% from 2012. 78% of websites had vulnerabilities, and 16% had critical vulnerabilities that could be easily exploited by attackers.
Cyber crime in a Smart Phone & Social Media Obsessed WorldJohn Palfreyman
This document discusses cyber crime in the context of new technologies like mobile devices and social media. It begins with an overview of common cyber attack methods and definitions of cyber security and cyber crime. It then examines how new technologies like cloud, mobile, big data/analytics and social media create new opportunities for cyber criminals while also making systems harder to defend. Specific challenges of mobile devices, bring your own devices, and social media are outlined. The document advocates a risk management approach to counter cyber crime that balances technical and people mitigations and calls for building security into new technologies from the start. It concludes by assessing preparedness and calling for a risk-aware culture to ensure fitness for purpose with emerging threats.
This document provides an outlook on cyber security for 2016, highlighting key cyber attacks that occurred in 2015 and trends moving forward. Some of the major cyber attacks in 2015 included hacking of Uber and Apple accounts, an Amazon password reset, and data breaches at LinkedIn and Spotify. There was also a record-breaking 602Gbps DDoS attack against BBC and a leak of 25GB of user data from Ashley Madison. The document discusses challenges around security of industrial control systems and internet of things devices. It recommends building cyber resilience through improving cyber defenses, increasing human expertise and collaboration, and ensuring critical infrastructures have cyber security operation centers for compliance. The outlook predicts a focus on security of industrial control systems and critical infrastructure in
Symantec's Internet Security Threat Report for the Government SectorSymantec
Symantec has established the most comprehensive source of Internet threat data in the world through the Symantec Global Intelligence Network, which is made up of more than 41.5 million attack sensors and records thousands of events per second. This network monitors threat activity in over 157 countries and territories through a combination of Symantec products and services such as Symantec DeepSight Threat Management System, Symantec Managed Security Services, Norton consumer products, and other third-party data sources.
In addition, Symantec maintains one of the world’s most comprehensive vulnerability databases, currently consisting of more than 60,000 recorded vulnerabilities (spanning more than two decades) from over 19,000 vendors representing over 54,000 products.
Spam, phishing, and malware data is captured through a variety of sources including the Symantec Probe Network, a system of more than 5 million decoy accounts, Symantec.cloud, and a number of other Symantec security technologies. Skeptic, the Symantec.cloud proprietary heuristic technology, is able to detect new and sophisticated targeted threats before they reach customers’ networks. Over 8.4 billion email messages are processed each month and more than 1.7 billion web requests filtered each day across 14 data centers. Symantec also gathers phishing information through an extensive anti-fraud community of enterprises, security vendors, and more than 50 million consumers.
Symantec Trust Services provides 100 percent availability and processes over 6 billion Online Certificate Status Protocol (OCSP) look-ups per day, which are used for obtaining the revocation status of X.509 digital certificates around the world. These resources give Symantec analysts unparalleled sources of data with which to identify, analyze, and provide informed commentary on emerging trends in attacks, malicious code activity, phishing, and spam. The result is the annual Symantec Internet Security Threat Report, which gives enterprises, small businesses, and consumers essential information to secure their system effectively now and into the future.
This document summarizes a presentation on cybersecurity risks and management practices. It outlines the evolution of cyber threats from less advanced in the past to more sophisticated today. Significant risks to businesses are identified as data theft, malware that destroys systems, denial of service attacks, and reputational attacks. Case studies show how even large companies can be vulnerable to attacks through a single weak point. The document then covers different types of security threats like hacking, phishing, man-in-the-middle attacks, and botnets. It emphasizes the need for senior management leadership on cybersecurity and outlines best practices for managing risks and measuring return on investment in security.
SHOLOVE WebSecurity is a cloud-based security solution that protects employees and enables compliance from threats across devices and locations. It uses the CYREN GlobalView Cloud infrastructure and its analysis of over 13 billion daily transactions to provide advanced protection from malware, phishing, and botnets. The solution offers mobile coverage, low latency experience, and simple management through an intuitive interface.
Top 10 Cybersecurity Trends to Watch Out For in 2022ManviShukla4
With the Digital revolution around all businesses, small or large, corporates, organizations and even governments are relying on computerized systems to manage their day-to-day activities and thus making cybersecurity a primary goal to safeguard data from various online attacks or any unauthorized access. Continuous change in technologies also implies a parallel shift in cybersecurity trends as news of data breach, ransomware and hacks become the norms. Here are the top cybersecurity trends for 2022.
IBM Security Strategy Intelligence, Integration and Expertise
by Marc van Zadelhoff, VP, WW Strategy and Product Management and Joe Ruthven IBM MEA Security Leader
This document summarizes a presentation on security trends in mobile environments. It discusses emerging mobile technologies like 4G networks and NFC, as well as trends in mobile applications for areas like banking, social media, and government use. It also outlines security concerns and trends for these technologies, such as vulnerabilities in 4G and Bluetooth. Additionally, it discusses mobile data protection trends involving encryption, device management, and data loss prevention. Finally, it provides predictions on growth of the mobile market and discusses potential health effects of cell phone radiation.
The document summarizes key findings from Symantec's 2019 Internet Security Threat Report. It describes the rise of formjacking attacks that steal credit card details from compromised websites. It also discusses the decline of ransomware and cryptojacking in 2018 but the continued use of living-off-the-land techniques by targeted attackers. Cloud security remains a challenge as misconfigured storage buckets expose over 70 million records. Social media also continues to be a battleground for election interference despite increased security efforts during the 2018 US midterms.
Security (Ignorance) Isn't Bliss: 5 Ways to Advance Security Decisions with T...IBM Security
In the wake of massive numbers of security breaches in 2014, enterprises are struggling to improve how they consume threat intelligence to better protect their networks. Over 65% of companies use external threat intelligence as part of their security analytics, but are dissatisfied with the time and resources needed to understand and analyze the data available. With a barrage of information coming in to your organization on vulnerabilities, malware, and potentially malicious sites on the Internet, how can you truly make sense of the data and take action when it’s required?
During this presentation, you will learn how your enterprise can quickly research threats, integrate actionable intelligence and collaborate with peers using global threat intelligence.
Mobiquant Japan ITpro Expo Tokyo/ Mobile and IOT Security Conference - REDA Z...MOBIQUANT TECHNOLOGIES
Mobile Security Workshop in Japan ITPro Expo Tokyo November 2013. Japan enterprise moblity trends, usages, BYOD adoption vs Corporate only, Auditing, Penetration Testing. Announcement au the mSeclabs launch.
Sécurité mobile.
REDA ZITOUNI CTO and VP Chief Security
Considerazioni su ITC Security e sui Cyber Attacks seeweb
This document discusses considerations around information and communication technology (ICT) security and cyber attacks. It notes that ICT security is a key element for ensuring business continuity and compliance with various standards, and that information resources should be protected as important business assets. The document also summarizes reports on the state of cyber attacks worldwide in 2013, including the growing threats from malware, social engineering, and targeted attacks, as well as trends involving mobile devices, cloud services, and the Internet of Things.
Mobile Payments: Protecting Apps and Data from Emerging RisksIBM Security
This document summarizes a presentation about protecting mobile payments applications and data from security risks. It discusses the growing mobile payments landscape and threats from criminals attacking mobile apps. It then outlines techniques used by criminals to easily attack mobile banking apps, particularly focusing on reverse engineering apps to steal crypto keys and sensitive data. The presentation concludes by describing comprehensive protection techniques including application hardening, obfuscation, tamper detection, and cryptographic key protection like white-box cryptography.
Some basic overview about cyber crime @ health industry and 10 cyber security technology controls advises from IT Security system integrator's point of view.
Similar to Network Security and Big Data Analytics (20)
Learn how service providers can take an active part in IOT security. See the full webinar When Things Misbehave: How to Mitigate Massive DDOS Attacks http://bit.ly/2h3QQA2
How to make virtual network services a winner rather than an integration disa...Allot Communications
This document discusses how to make virtual network services successful through NFV rather than an integration disaster. It outlines the challenges of integrating multiple network functions and services in an NFV environment. Specifically, it notes the need to balance pre-integrated solutions with openness to reduce complexity, time to market, and costs, while maintaining flexibility. Allot's approach provides pre-integrated virtualized customer and resource-facing network services that leverage their VNF management framework and experience integrating with network control plane interfaces to help operators deploy reliable services through NFV.
Matan Trogan drills down into customer engagement and how to create opportunities through CE that will increase ARPU. More details into MobileTrends Report can be found here: http://bit.ly/1R8X64z
Securing the Enterprise with Application Aware Acceptable Use PolicyAllot Communications
Jay Klein CTO of Allot Communications in this in depth presentation drills down into different aspects of enterprise security including the threat of anonymizers, application visibility and control.
Roee Besser discusses the different aspects of network security. Who are the cyber-warfare enemies? What are their motives? How can one secure the infrastructure? What are the main threats? In addition there is a real life use case to show off the cyber security provisions at an ISP in Spain.
Learn how DPI actionable analytics increases revenue. A presentation given by Matan Trogan, Head of Regional Marketing APAC at "Monetising Big Data in Telecoms World Summit 2015, Singapore" Learn more here: http://www.allot.com/products/analytics/clearsee-data-source/
With an Allot Service Gateway in your network you gain the granular visibility you require (of CMTS elements, traffic, applications, and subscribers), together with real-time, congestion avoidance capabilities thanks to the gateway’s CMTS-aware, application-aware, and subscriber-aware bandwidth controls.
For more information, please visit: http://www.allot.com/products/platforms/service-gateway/
This document contains frequently asked questions about Allot ServiceProtector and how it detects and mitigates cyberattacks such as DDoS attacks and outgoing spam. It discusses how Allot ServiceProtector uses network behavior anomaly detection and host behavior anomaly detection to identify attacks without relying on signatures. It also addresses questions around false positives, differences from IPS systems, ability to detect different attack types, and typical deployment considerations.
The first edition of Allot Cloud Trends Report Allot researched CSP cloud services for SMB and Enterprise markets and analyzed the different make-up of their offerings. Data for this report was collected from over 100 fixed, mobile and converged CSPs around the globe. Download the report here: http://goo.gl/CUXdY6
#enterprisecloud #allotreport
The implications of access to inappropriate content are all very real and have led parents to demand effective and easily-deployed parental control solutions. Parents need tools through which they can control their children’s Internet usage – on smartphones, Tablets or PCs – while allowing them to provide equitable breath of usage.
Read more about our parental control solution: http://www.allot.com/parental-control.html
Allot CDN conference: The market requires a combined solution that encompasses: caching,mobile optimization and shaping that enable efficient cost-saving, improved and controlled QoE for service differentiation, combined with analytics that provides business intelligence.
For more information on Content Delivery Networks (CDN) and solutions: http://www.allot.com/MediaSwift_Video_Acceleration.html
Learn SQL from basic queries to Advance queriesmanishkhaire30
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics
End-to-end pipeline agility - Berlin Buzzwords 2024Lars Albertsson
We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines.
A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more.
A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream.
Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.
The Ipsos - AI - Monitor 2024 Report.pdfSocial Samosa
According to Ipsos AI Monitor's 2024 report, 65% Indians said that products and services using AI have profoundly changed their daily life in the past 3-5 years.
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
Open Source Contributions to Postgres: The Basics POSETTE 2024ElizabethGarrettChri
Postgres is the most advanced open-source database in the world and it's supported by a community, not a single company. So how does this work? How does code actually get into Postgres? I recently had a patch submitted and committed and I want to share what I learned in that process. I’ll give you an overview of Postgres versions and how the underlying project codebase functions. I’ll also show you the process for submitting a patch and getting that tested and committed.
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
Analysis insight about a Flyball dog competition team's performanceroli9797
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
10. DOS Attacks Are In The News – Every Day …
(Denial Of Service) January 2014
First attack of a Zombie
Refrigerator
11. But Let’s Focus On Our Stories …
Anonymous attack : “Failed”
“Nothing to smile
about… “
12. Anonymous Attack (Apr-2013)
Distribution of attacks (during the day)
23
Over 10Gbps attack on Government Servers
• 7 Billion packets blocked
• 1.8TB data blocked
14. Smartphones Are Exposed To Malware & Spyware
14 Based on Allot’s big data security analytics in mobile network operator
15. Malware File Types
15
30% of blocked malware
files are JavaScript files,
making it the most
commonly used attack
vehicle.
20% of blocked malware
files are image files that
most users would not
suspect (jpg, png, gif, ico).
16. Android Devices Are Highly Exposed To Threats
16 Based on Allot’s big data security analytics in mobile network operator
17. Threat Analysis by Demographics
17
Target Profiling
?
Based on Allot’s big data security analytics in mobile network operator
21. Unified Service Gateway Platform @ ISP / Nationwide
21
Mobile
Broadband
Internet
ANALYZE PROTECT MONETIZEIMPROVE
22. Various Big Data Analytics Use Cases
22
Billing
System Business
Intelligence
Allot ClearSee
Network Analytics
CRM
Regulatory
Compliance
Revenue
Assurance
and Auditing
MarketingSecurity FinanceCare
SIEM
Ops/Eng
Mobile
Broadband
Internet
Easy integration with any SOC/SIEM:
23. Inline Platform for Big Data Analytics and SECaaS
23
Mobile
Broadband
Internet
URL Blacklist Content Filtering Virus/Malware
Protection
Behavioral
Anomalies
3rd party solution
24. Case Study: Network Based Security solution 10M subs !
24
Virus
Worms
Trojans
Spyware
Adware
Rootkit
Keylogger
Phishing
Security for ALL without installation
Comply with Regulation
Always and seamlessly updated
NEW REVENUE OPPORTUNITY !
25. Safer Internet with Allot’s solutions
25
• Zero day DDoS
Mitigation
• 1st line of defense
• Leading anonymity
and encryption
awareness
• High Precision xDRS
for big data
analytics
• Block/filtering use
of illegal services
• Data retention
• Content filtering
Cyber DefenseDarkNET Intelligence Enforcement