My Keynote from BSidesTampa 2015 (video in description)Andrew Case
This is the slides from keynote presentation at BSidesTampa 2015. A recording of the talk can be found at: https://www.youtube.com/watch?v=751bkSD2Nn8&t=1m35s
Module 19 (evading ids, firewalls and honeypots)Wail Hassan
An Intrusion Detection System (IDS) is a device or software application that monitors network and/or system activities for malicious activities or policy violations and produces reports to a Management Station. Some systems may attempt to stop an intrusion attempt but this is neither required nor expected of a monitoring system.
Sophisticated Attacks vs. Advanced Persistent SecurityPriyanka Aash
It appears that any successful attack these days is labeled, Sophisticated. The implication is that the attacks were unpreventable. The reality is very different. We dissect recent attacks, and then go through how they could have been prevented. Advanced Persistent Security principles are applied to demonstrate how even successful breaches can be contained to significantly reduce loss.
(Source: RSA USA 2016-San Francisco)
2012 B-Sides and ToorCon Talk Offensive Defense
Blog Post - http://blog.ioactive.com/2013/01/offensive-defense.html
Cyber-criminals have had back-end infrastructures equivalent to Virus Total to test if malware and exploits are effective against AV scanners for many years, thus showing that attackers are proactively avoiding detection when building malware. In this day of age malicious binaries are generated on demand by server-side kits when a victim visits a malicious web page, making reliance solely on hash based solutions inadequate. In the last 15 years detection techniques have evolved in an attempt to keep up with attack trends. In the last few years security companies have looked for supplemental solutions such as the use of machine learning to detect and mitigate attacks against cyber criminals. Let's not pretend attackers can't bypass each and every detection technique currently deployed. Join me as I present and review current detection methods found in most host and network security solutions found today. We will re-review the defense in depth strategy while keeping in mind that a solid security strategy consists of forcing an attacker to spend as much time and effort while needing to know a variety of skills and technologies in order to successfully pull off the attack. In the end I hope to convince you that thinking defensively requires thinking offensively.
Applied cognitive security complementing the security analyst Priyanka Aash
Security incidents are increasing dramatically and becoming more sophisticated, making it almost impossible for security analysts to keep up. A cognitive solution that can learn about security from structured and unstructured information sources is essential. It can be applied to empower security analysts with insights to qualify incidents and investigate risks quickly and accurately.
(Source : RSA Conference 2017)
Applied machine learning defeating modern malicious documentsPriyanka Aash
A common tactic adopted by attackers for initial exploitation is the use of malicious code embedded in Microsoft Office documents. This attack vector is not new, but attackers are still having success. This session will dive into the details of these techniques, introduce some machine learning approaches to analyze and detect these attempts, and explore the output in Elasticsearch and Kibana.
(Source : RSA Conference USA 2017)
Advances in cloud scale machine learning for cyber-defensePriyanka Aash
Picking an attacker’s signals out of billions of log events in near real time from petabyte scale storage is a daunting task, but Microsoft has been using security data science at cloud scale to successfully disrupt attackers. This session will present the latest frameworks, techniques and the unconventional machine-learning algorithms that Microsoft uses to protect its infrastructure and customers.
(Source : RSA Conference USA 2017)
Automating Analysis and Exploitation of Embedded Device FirmwareMalachi Jones
Dynamic binary analysis tools utilize a combination of techniques that include fuzzing, symbolic execution, and concolic execution to discover exploitable code in sophisticated binaries. Much work has been dedicated to developing automated analysis tools to target mainstream processor architectures (e.g. x86 and x86_64. ). An often overlooked and inadequately addressed area is the development of tools that target embedded systems processors that include PowerPC, MIPS, and SuperH. Historically, a challenge with targeting multiple embedded architectures was that it was often necessary to write an analysis tool for each architecture.
In this talk, we'll discuss an approach for decoupling the architecture specifics from the analysis by utilizing intermediate representation (IR) languages. Intermediate representation languages provide a method to abstract out machine specifics in order to aid in the analysis of computer programs. In particular, the LLVM IR language provides an extensive set of analysis and optimization libraries, along with a JIT engine, that can be collectively utilized to develop architecture-independent automated analysis and exploitation tools.
20190523 Breach Notification Wizard: Lessons in Knowledge Management!3Lions Publishing, Inc.
This slide deck focuses on providing stakeholders an example of how tacit knowledge is transferred into explicit knowledge through a review of our upcoming Breach Notification Wizard release; soon to be incorporated into Expresso: The Risk Assessment Express.
My Keynote from BSidesTampa 2015 (video in description)Andrew Case
This is the slides from keynote presentation at BSidesTampa 2015. A recording of the talk can be found at: https://www.youtube.com/watch?v=751bkSD2Nn8&t=1m35s
Module 19 (evading ids, firewalls and honeypots)Wail Hassan
An Intrusion Detection System (IDS) is a device or software application that monitors network and/or system activities for malicious activities or policy violations and produces reports to a Management Station. Some systems may attempt to stop an intrusion attempt but this is neither required nor expected of a monitoring system.
Sophisticated Attacks vs. Advanced Persistent SecurityPriyanka Aash
It appears that any successful attack these days is labeled, Sophisticated. The implication is that the attacks were unpreventable. The reality is very different. We dissect recent attacks, and then go through how they could have been prevented. Advanced Persistent Security principles are applied to demonstrate how even successful breaches can be contained to significantly reduce loss.
(Source: RSA USA 2016-San Francisco)
2012 B-Sides and ToorCon Talk Offensive Defense
Blog Post - http://blog.ioactive.com/2013/01/offensive-defense.html
Cyber-criminals have had back-end infrastructures equivalent to Virus Total to test if malware and exploits are effective against AV scanners for many years, thus showing that attackers are proactively avoiding detection when building malware. In this day of age malicious binaries are generated on demand by server-side kits when a victim visits a malicious web page, making reliance solely on hash based solutions inadequate. In the last 15 years detection techniques have evolved in an attempt to keep up with attack trends. In the last few years security companies have looked for supplemental solutions such as the use of machine learning to detect and mitigate attacks against cyber criminals. Let's not pretend attackers can't bypass each and every detection technique currently deployed. Join me as I present and review current detection methods found in most host and network security solutions found today. We will re-review the defense in depth strategy while keeping in mind that a solid security strategy consists of forcing an attacker to spend as much time and effort while needing to know a variety of skills and technologies in order to successfully pull off the attack. In the end I hope to convince you that thinking defensively requires thinking offensively.
Applied cognitive security complementing the security analyst Priyanka Aash
Security incidents are increasing dramatically and becoming more sophisticated, making it almost impossible for security analysts to keep up. A cognitive solution that can learn about security from structured and unstructured information sources is essential. It can be applied to empower security analysts with insights to qualify incidents and investigate risks quickly and accurately.
(Source : RSA Conference 2017)
Applied machine learning defeating modern malicious documentsPriyanka Aash
A common tactic adopted by attackers for initial exploitation is the use of malicious code embedded in Microsoft Office documents. This attack vector is not new, but attackers are still having success. This session will dive into the details of these techniques, introduce some machine learning approaches to analyze and detect these attempts, and explore the output in Elasticsearch and Kibana.
(Source : RSA Conference USA 2017)
Advances in cloud scale machine learning for cyber-defensePriyanka Aash
Picking an attacker’s signals out of billions of log events in near real time from petabyte scale storage is a daunting task, but Microsoft has been using security data science at cloud scale to successfully disrupt attackers. This session will present the latest frameworks, techniques and the unconventional machine-learning algorithms that Microsoft uses to protect its infrastructure and customers.
(Source : RSA Conference USA 2017)
Automating Analysis and Exploitation of Embedded Device FirmwareMalachi Jones
Dynamic binary analysis tools utilize a combination of techniques that include fuzzing, symbolic execution, and concolic execution to discover exploitable code in sophisticated binaries. Much work has been dedicated to developing automated analysis tools to target mainstream processor architectures (e.g. x86 and x86_64. ). An often overlooked and inadequately addressed area is the development of tools that target embedded systems processors that include PowerPC, MIPS, and SuperH. Historically, a challenge with targeting multiple embedded architectures was that it was often necessary to write an analysis tool for each architecture.
In this talk, we'll discuss an approach for decoupling the architecture specifics from the analysis by utilizing intermediate representation (IR) languages. Intermediate representation languages provide a method to abstract out machine specifics in order to aid in the analysis of computer programs. In particular, the LLVM IR language provides an extensive set of analysis and optimization libraries, along with a JIT engine, that can be collectively utilized to develop architecture-independent automated analysis and exploitation tools.
20190523 Breach Notification Wizard: Lessons in Knowledge Management!3Lions Publishing, Inc.
This slide deck focuses on providing stakeholders an example of how tacit knowledge is transferred into explicit knowledge through a review of our upcoming Breach Notification Wizard release; soon to be incorporated into Expresso: The Risk Assessment Express.
For more course tutorials visit
www.newtonhelp.com
CSEC 610 Project 1 Information Systems and Identity Management
CSEC 610 Project 2 Operating Systems Vulnerabilities (Windows and Linux)
CSEC 610 Project 3 Assessing Information System Vulnerabilities and Risk
For more course tutorials visit
www.newtonhelp.com
CSEC 610 Project 1 Information Systems and Identity Management
CSEC 610 Project 2 Operating Systems Vulnerabilities (Windows and Linux)
CSEC 610 Project 3 Assessing Information System Vulnerabilities and Risk
CSEC 610 Project 4 Threat Analysis and Exploitation
Csec 610 Education is Power/newtonhelp.comamaranthbeg72
For more course tutorials visit
www.newtonhelp.com
CSEC 610 Project 1 Information Systems and Identity Management
CSEC 610 Project 2 Operating Systems Vulnerabilities (Windows and Linux)
CSEC 610 Project 3 Assessing Information System Vulnerabilities and Risk
For more course tutorials visit
www.newtonhelp.com
CSEC 610 Project 1 Information Systems and Identity Management
CSEC 610 Project 2 Operating Systems Vulnerabilities (Windows and Linux)
CSEC 610 Project 3 Assessing Information System Vulnerabilities and Risk
You have spent a ton of money on your security infrastructure. But how do you string all those things together so you can achieve your goals of reducing time to response, and early detection and prevention of events. See a live demonstration that will showcase how to operationalize those resources so that your organization can reap the maximum benefit.
For more course tutorials visit
www.newtonhelp.com
CYB 610 Project 1 Information Systems and Identity Management
CYB 610 Project 2 Operating Systems Vulnerabilities (Windows and Linux)
CYB 610 Project 3 Assessing Information System Vulnerabilities and Risk
For more course tutorials visit
www.newtonhelp.com
CYB 610 Project 1 Information Systems and Identity Management
CYB 610 Project 2 Operating Systems Vulnerabilities (Windows and Linux)
CYB 610 Project 3 Assessing Information System Vulnerabilities and Risk
Qubole on Amazon AWS: Security and ComplianceVasu S
A Whitepaper of Qubole that how it passionate about making data easily accessible for open data lake platforms while using Amazon AWS for our customer's data with proper security measures & compliance
https://www.qubole.com/resources/white-papers/qubole-on-amazon-aws-security-and-compliance
A Vulnerability analyst detects vulnerabilities in networks and software and then takes the necessary steps to manage security within the system.
https://www.infosectrain.com/courses/ceh-v11-certification-training/
Top 25 SOC Analyst interview questions that You Should Know.pptxInfosectrain3
SOC is abbreviated as Security Operations Center, a centralized team of any company that monitors real-time threats, real-time incidents, and suspicious activities. The SOC team will take the appropriate action or assign some professionals to handle the risk if found.
Qubole on AWS: Security and Compliance - White Paper | QuboleVasu S
A whitepaper is about the security strategies we use to protect customers information and provides specific details of how our security model works with Amazon Web Services (AWS).
https://www.qubole.com/resources/white-papers/aws-security-2018
# Internet Security: Safeguarding Your Digital World
In the contemporary digital age, the internet is a cornerstone of our daily lives. It connects us to vast amounts of information, provides platforms for communication, enables commerce, and offers endless entertainment. However, with these conveniences come significant security challenges. Internet security is essential to protect our digital identities, sensitive data, and overall online experience. This comprehensive guide explores the multifaceted world of internet security, providing insights into its importance, common threats, and effective strategies to safeguard your digital world.
## Understanding Internet Security
Internet security encompasses the measures and protocols used to protect information, devices, and networks from unauthorized access, attacks, and damage. It involves a wide range of practices designed to safeguard data confidentiality, integrity, and availability. Effective internet security is crucial for individuals, businesses, and governments alike, as cyber threats continue to evolve in complexity and scale.
### Key Components of Internet Security
1. **Confidentiality**: Ensuring that information is accessible only to those authorized to access it.
2. **Integrity**: Protecting information from being altered or tampered with by unauthorized parties.
3. **Availability**: Ensuring that authorized users have reliable access to information and resources when needed.
## Common Internet Security Threats
Cyber threats are numerous and constantly evolving. Understanding these threats is the first step in protecting against them. Some of the most common internet security threats include:
### Malware
Malware, or malicious software, is designed to harm, exploit, or otherwise compromise a device, network, or service. Common types of malware include:
- **Viruses**: Programs that attach themselves to legitimate software and replicate, spreading to other programs and files.
- **Worms**: Standalone malware that replicates itself to spread to other computers.
- **Trojan Horses**: Malicious software disguised as legitimate software.
- **Ransomware**: Malware that encrypts a user's files and demands a ransom for the decryption key.
- **Spyware**: Software that secretly monitors and collects user information.
### Phishing
Phishing is a social engineering attack that aims to steal sensitive information such as usernames, passwords, and credit card details. Attackers often masquerade as trusted entities in email or other communication channels, tricking victims into providing their information.
### Man-in-the-Middle (MitM) Attacks
MitM attacks occur when an attacker intercepts and potentially alters communication between two parties without their knowledge. This can lead to the unauthorized acquisition of sensitive information.
### Denial-of-Service (DoS) and Distributed Denial-of-Service (DDoS) Attacks
This 7-second Brain Wave Ritual Attracts Money To You.!nirahealhty
Discover the power of a simple 7-second brain wave ritual that can attract wealth and abundance into your life. By tapping into specific brain frequencies, this technique helps you manifest financial success effortlessly. Ready to transform your financial future? Try this powerful ritual and start attracting money today!
APNIC Foundation, presented by Ellisha Heppner at the PNG DNS Forum 2024APNIC
Ellisha Heppner, Grant Management Lead, presented an update on APNIC Foundation to the PNG DNS Forum held from 6 to 10 May, 2024 in Port Moresby, Papua New Guinea.
Multi-cluster Kubernetes Networking- Patterns, Projects and GuidelinesSanjeev Rampal
Talk presented at Kubernetes Community Day, New York, May 2024.
Technical summary of Multi-Cluster Kubernetes Networking architectures with focus on 4 key topics.
1) Key patterns for Multi-cluster architectures
2) Architectural comparison of several OSS/ CNCF projects to address these patterns
3) Evolution trends for the APIs of these projects
4) Some design recommendations & guidelines for adopting/ deploying these solutions.
Bridging the Digital Gap Brad Spiegel Macon, GA Initiative.pptxBrad Spiegel Macon GA
Brad Spiegel Macon GA’s journey exemplifies the profound impact that one individual can have on their community. Through his unwavering dedication to digital inclusion, he’s not only bridging the gap in Macon but also setting an example for others to follow.
1.Wireless Communication System_Wireless communication is a broad term that i...JeyaPerumal1
Wireless communication involves the transmission of information over a distance without the help of wires, cables or any other forms of electrical conductors.
Wireless communication is a broad term that incorporates all procedures and forms of connecting and communicating between two or more devices using a wireless signal through wireless communication technologies and devices.
Features of Wireless Communication
The evolution of wireless technology has brought many advancements with its effective features.
The transmitted distance can be anywhere between a few meters (for example, a television's remote control) and thousands of kilometers (for example, radio communication).
Wireless communication can be used for cellular telephony, wireless access to the internet, wireless home networking, and so on.
