CYBER FORENSICS AND AUDITING
Topics Covered: Introduction to Cyber Forensics, Computer Equipment and associated storage, media Role of forensics Investigator, Forensics Investigation Process, Collecting Network based Evidence Writing, Computer Forensics Reports, Auditing, Plan an audit against a set of audit criteria, Information Security Management, System Management. Introduction to ISO 27001:2013
Watch full webinar here: https://buff.ly/2MwDyhq
The use of Data Virtualization as a global delivery layer means that Denodo is a critical component of the data architecture. It cannot fail, needs to be fault tolerant and perform as designed. In this context, enterprise level-monitoring is key to make sure the virtual layer is in good health and proactively detect potential issues. Fortunately, Denodo provides a full suite of monitoring capabilities and integrates with leading monitoring tools like Splunk, Elastic and CloudWatch.
Attend this session to learn:
- How to configure the key global parameters of the Denodo server
- How to integrate Denodo with enterprise monitoring solutions like Splunk and Cloudwatch
- Key metrics to monitor
Automated Live Forensics Analysis for Volatile Data AcquisitionIJERA Editor
The increase in sophisticated attack on computers needs the assistance of Live forensics to uncover the evidence
since traditional forensics methods doesn’t collect volatile data. The volatile data can ease the difficulty towards
investigation in fact it can provide investigator with rich information towards solving a case. Here we are trying
to eliminate the complexity involved in normal process by automating the process of acquisition and analyzing
at the same time providing integrity towards evidence data through python scripting.
Modern Data Security for the Enterprises – SQL Server & Azure SQL DatabaseWinWire Technologies Inc
The webinar talked about the layers of data protection, important security features, potential scenarios in which these features can be applied to limit exposure to security threats and best practices for securing business applications and data. We covered following topics on SQL Server 2016 and Azure SQL Database security features
• Access Level Control
• Data Encryption
• Monitoring
CYBER FORENSICS AND AUDITING
Topics Covered: Introduction to Cyber Forensics, Computer Equipment and associated storage, media Role of forensics Investigator, Forensics Investigation Process, Collecting Network based Evidence Writing, Computer Forensics Reports, Auditing, Plan an audit against a set of audit criteria, Information Security Management, System Management. Introduction to ISO 27001:2013
Watch full webinar here: https://buff.ly/2MwDyhq
The use of Data Virtualization as a global delivery layer means that Denodo is a critical component of the data architecture. It cannot fail, needs to be fault tolerant and perform as designed. In this context, enterprise level-monitoring is key to make sure the virtual layer is in good health and proactively detect potential issues. Fortunately, Denodo provides a full suite of monitoring capabilities and integrates with leading monitoring tools like Splunk, Elastic and CloudWatch.
Attend this session to learn:
- How to configure the key global parameters of the Denodo server
- How to integrate Denodo with enterprise monitoring solutions like Splunk and Cloudwatch
- Key metrics to monitor
Automated Live Forensics Analysis for Volatile Data AcquisitionIJERA Editor
The increase in sophisticated attack on computers needs the assistance of Live forensics to uncover the evidence
since traditional forensics methods doesn’t collect volatile data. The volatile data can ease the difficulty towards
investigation in fact it can provide investigator with rich information towards solving a case. Here we are trying
to eliminate the complexity involved in normal process by automating the process of acquisition and analyzing
at the same time providing integrity towards evidence data through python scripting.
Modern Data Security for the Enterprises – SQL Server & Azure SQL DatabaseWinWire Technologies Inc
The webinar talked about the layers of data protection, important security features, potential scenarios in which these features can be applied to limit exposure to security threats and best practices for securing business applications and data. We covered following topics on SQL Server 2016 and Azure SQL Database security features
• Access Level Control
• Data Encryption
• Monitoring
Every repository has a different set of rules that holds the data together. Each of the
1,000’s of tables and files within each repository has uniquely different data validation
rules. Making it very hard to identify, create and maintain 100,000’s of rules for even
medium sized repositories
Estimating the Total Costs of Your Cloud Analytics PlatformDATAVERSITY
Organizations today need a broad set of enterprise data cloud services with key data functionality to modernize applications and utilize machine learning. They need a platform designed to address multi-faceted needs by offering multi-function Data Management and analytics to solve the enterprise’s most pressing data and analytic challenges in a streamlined fashion. They need a worry-free experience with the architecture and its components.
Proactive ops for container orchestration environmentsDocker, Inc.
Break -> inspect -> fix is the Ops workflow for infrastructure stacks of the past. Distributed infrastructure and applications claim to be the new generation, but why is it so much more painful to maintain and troubleshoot them? Much of the pain comes from outdated operational models relying on reactive or, worse yet, manual monitoring and Ops.
This talk lays out a proactive Ops model for container infrastructure. By focusing on event monitoring, infrastructure state monitoring, trend analysis, and distributed log collection, a proactive Ops model delivers observability for distributed apps that was not possible before. Using real-world examples from Swarm and Kubernetes, we'll demonstrate the tools used and how we relieve Ops pain in container orchestration.
JPD1418 TrustedDB: A Trusted Hardware-Based Database with Privacy and Data C...chennaijp
We have best 2014 free dot not projects topics are available along with all document, you can easy to find out number of documents for various projects titles.
For More Details:
http://jpinfotech.org/final-year-ieee-projects/2014-ieee-projects/dot-net-projects/
SHOWDOWN: Threat Stack vs. Red Hat AuditDThreat Stack
Traditionally, people have used the userland daemon ‘auditd’ built by some good Red Hat folks to collect and consume this data. However, there are a couple of problems with traditional open source auditd and auditd libraries that we’ve had to deal with ourselves, especially when trying to run it on performance sensitive systems and make sense of the sometimes obtuse data that traditional auditd spits out. To that effect, we’ve written a custom audit listener from the ground up for the Threat Stack agent (tsauditd).
Periodic Auditing of Data in Cloud Using Random BitsIJTET Journal
Cloud storage is a service that moves user‟s data into large data centers. Here datas are remotely located, maintained, managed and backed up through internet. Cloud provides the way for check the integrity of user‟s data if he can‟t access the data physically. In this paper we provide the proof of retrievability (POR) scheme to ensure the data integrity in cloud based on SLA (service level agreement). In addition we provide a dynamic audit service for verifying the integrity of outsourced and untrusted storage of data by using method based on probabilistic query and periodic verification for improving the performance of audit services.
Countering Threats with the Elastic Stack at CERDEC/ARLElasticsearch
See how the CERDEC/ARL leverages the Elastic Stack to gain critical insights into activities and trends among the networks they cover and enables research into new methods of protecting our nation’s defenses.
CHANNELD PDF FILE FOR THE DOWNLOAD OF THEmrcopyxerox
CHN LAB PART 4 PICTURES DOWNLOAD THE PDF AND VIEW THE FILES TO REVIEW THE We would like to acknowledge, my sincere thanks to Mr.
Mohammed Abdul Razzak Principalof ‘‘Anwarul-Uloom Degree College” for the extended helping hand for the development of my carer.
We wish to express our sincere thanks to Mr. Aseem Khan
H.O.Dand our express and sincere thanks to our project Guide Mrs. Nasreen Sultana for sharing valuable time in providing her valuable Knowledge, guidance and excellent support for the successful completion of my Project.
We would like to acknowledge, our sincere thanks to all
faculty members of ‘‘Anwarul-Uloom Degree College” who
have extended helping hand in giving the information being part of the study. We would like to express our gratitude for all people, who extended unending support at all stages of the project.
Every repository has a different set of rules that holds the data together. Each of the
1,000’s of tables and files within each repository has uniquely different data validation
rules. Making it very hard to identify, create and maintain 100,000’s of rules for even
medium sized repositories
Estimating the Total Costs of Your Cloud Analytics PlatformDATAVERSITY
Organizations today need a broad set of enterprise data cloud services with key data functionality to modernize applications and utilize machine learning. They need a platform designed to address multi-faceted needs by offering multi-function Data Management and analytics to solve the enterprise’s most pressing data and analytic challenges in a streamlined fashion. They need a worry-free experience with the architecture and its components.
Proactive ops for container orchestration environmentsDocker, Inc.
Break -> inspect -> fix is the Ops workflow for infrastructure stacks of the past. Distributed infrastructure and applications claim to be the new generation, but why is it so much more painful to maintain and troubleshoot them? Much of the pain comes from outdated operational models relying on reactive or, worse yet, manual monitoring and Ops.
This talk lays out a proactive Ops model for container infrastructure. By focusing on event monitoring, infrastructure state monitoring, trend analysis, and distributed log collection, a proactive Ops model delivers observability for distributed apps that was not possible before. Using real-world examples from Swarm and Kubernetes, we'll demonstrate the tools used and how we relieve Ops pain in container orchestration.
JPD1418 TrustedDB: A Trusted Hardware-Based Database with Privacy and Data C...chennaijp
We have best 2014 free dot not projects topics are available along with all document, you can easy to find out number of documents for various projects titles.
For More Details:
http://jpinfotech.org/final-year-ieee-projects/2014-ieee-projects/dot-net-projects/
SHOWDOWN: Threat Stack vs. Red Hat AuditDThreat Stack
Traditionally, people have used the userland daemon ‘auditd’ built by some good Red Hat folks to collect and consume this data. However, there are a couple of problems with traditional open source auditd and auditd libraries that we’ve had to deal with ourselves, especially when trying to run it on performance sensitive systems and make sense of the sometimes obtuse data that traditional auditd spits out. To that effect, we’ve written a custom audit listener from the ground up for the Threat Stack agent (tsauditd).
Periodic Auditing of Data in Cloud Using Random BitsIJTET Journal
Cloud storage is a service that moves user‟s data into large data centers. Here datas are remotely located, maintained, managed and backed up through internet. Cloud provides the way for check the integrity of user‟s data if he can‟t access the data physically. In this paper we provide the proof of retrievability (POR) scheme to ensure the data integrity in cloud based on SLA (service level agreement). In addition we provide a dynamic audit service for verifying the integrity of outsourced and untrusted storage of data by using method based on probabilistic query and periodic verification for improving the performance of audit services.
Countering Threats with the Elastic Stack at CERDEC/ARLElasticsearch
See how the CERDEC/ARL leverages the Elastic Stack to gain critical insights into activities and trends among the networks they cover and enables research into new methods of protecting our nation’s defenses.
CHANNELD PDF FILE FOR THE DOWNLOAD OF THEmrcopyxerox
CHN LAB PART 4 PICTURES DOWNLOAD THE PDF AND VIEW THE FILES TO REVIEW THE We would like to acknowledge, my sincere thanks to Mr.
Mohammed Abdul Razzak Principalof ‘‘Anwarul-Uloom Degree College” for the extended helping hand for the development of my carer.
We wish to express our sincere thanks to Mr. Aseem Khan
H.O.Dand our express and sincere thanks to our project Guide Mrs. Nasreen Sultana for sharing valuable time in providing her valuable Knowledge, guidance and excellent support for the successful completion of my Project.
We would like to acknowledge, our sincere thanks to all
faculty members of ‘‘Anwarul-Uloom Degree College” who
have extended helping hand in giving the information being part of the study. We would like to express our gratitude for all people, who extended unending support at all stages of the project.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
We have compiled the most important slides from each speaker's presentation. This year’s compilation, available for free, captures the key insights and contributions shared during the DfMAy 2024 conference.
NUMERICAL SIMULATIONS OF HEAT AND MASS TRANSFER IN CONDENSING HEAT EXCHANGERS...ssuser7dcef0
Power plants release a large amount of water vapor into the
atmosphere through the stack. The flue gas can be a potential
source for obtaining much needed cooling water for a power
plant. If a power plant could recover and reuse a portion of this
moisture, it could reduce its total cooling water intake
requirement. One of the most practical way to recover water
from flue gas is to use a condensing heat exchanger. The power
plant could also recover latent heat due to condensation as well
as sensible heat due to lowering the flue gas exit temperature.
Additionally, harmful acids released from the stack can be
reduced in a condensing heat exchanger by acid condensation. reduced in a condensing heat exchanger by acid condensation.
Condensation of vapors in flue gas is a complicated
phenomenon since heat and mass transfer of water vapor and
various acids simultaneously occur in the presence of noncondensable
gases such as nitrogen and oxygen. Design of a
condenser depends on the knowledge and understanding of the
heat and mass transfer processes. A computer program for
numerical simulations of water (H2O) and sulfuric acid (H2SO4)
condensation in a flue gas condensing heat exchanger was
developed using MATLAB. Governing equations based on
mass and energy balances for the system were derived to
predict variables such as flue gas exit temperature, cooling
water outlet temperature, mole fraction and condensation rates
of water and sulfuric acid vapors. The equations were solved
using an iterative solution technique with calculations of heat
and mass transfer coefficients and physical properties.
2. SQL Server Forensics
In recent years, data security breaches have been a common theme in the news.
SQL Server forensics can be used to aid in the qualification and investigation of data security
breaches and to help a forensic investigator prove or disprove whether a suspected digital
intrusion has occurred.
If one did occur, the practice of SQL Server forensics can help determine whether it included
data protected by regulations/legislation and possibly prevent an organization from
incorrectly disclosing the occurrence of a digital intrusion involving this protected data.
It focuses directly on the identification, preservation, and analysis of the database data
suitable for presentation in a court of law.
It enables an investigator to better qualify, assess, and investigate intrusions involving SQL
Server data.
3. SQL Server Forensics
The application of SQL Server forensics during a digital investigation or
electronic discovery initiative can achieve the following goals:
• Prove or disprove the occurrence of a data security breach
• Determine the scope of a database intrusion
• Retrace user DML and DDL operations
• Identify data pre- and post-transactions
• Recover previously deleted data
4. Investigation Trigger
Almost all SQL Server forensic investigations you perform will be
undertaken in response to a specific digital event (or trigger).
Numerous triggers can initiate a database forensic investigation,
including these common events:
• Suspected unauthorized database usage
• A need to assess the scope of a digital intrusion involving
devices with logical access to a SQL Server
• Electronic discovery initiatives involving SQL Server data
5. SQL Server Forensics vs Traditional
Windows Forensics
A traditional Windows forensic investigation focuses on volatile and nonvolatile operating
system and selected application data. Applications such as Internet Explorer, the Microsoft
Office suite, and various instant messaging (IM) applications are typically targeted by
traditional digital forensic investigations. These investigations often neglect the database.
However, when the database is ignored, it is obviously difficult—and in some cases
impossible—for investigators to determine whether a database was compromised during
an attack.
SQL Server forensics picks up where traditional investigations end by focusing on the
database.
8. Live Acquisition
Live SQL Server acquisition is conducted using the resources and binaries of the target database
server. Live acquisition can be used to acquire both volatile and nonvolatile SQL Server data.
Because of the ever-increasing size of computer storage, live analysis is becoming more practical.
During a live investigation, all of the actions that you perform will alter the state of the server.
Whether you are interactively logging on to a database server to perform a live analysis or connecting
to a database server remotely, you will inevitably change data on the target system.
The following principles will help minimize the intrusiveness of an investigation based on live analysis:
• Include nonpersistent (volatile) data that would be lost if the server was shut down or SQL Server
services were restarted.
• Employ sound artifact collection methods to ensure that the integrity of collected artifacts are
maintained.
• Artifact collection should adhere to order of volatility principles
• All actions should be logged when possible to track investigator activity, and investigators should
be aware of the changes that their actions will introduce in relation to the target.
9. Connecting to a Live SQL Server
Interactive Connection: An investigator using an interactive
connection would interactively log on to a live SQL Server and use
incident response tools to acquire data. This interactive logon can
be performed by an investigator physically logging on to a server or
logically logging on using remote system administration software
such as Remote Desktop Protocol (RDP). Interactive connections
support the widest range of SQL Server protocols.
Remote Connection: When using a remote connection, an
investigator will use a separate networked computer to connect to
a live SQL Server and acquire data. Because this approach is
performed over the network, the SQL native client on the remote
computer and the target SQL Server will need to be configured to
support at least one common network-based SQL Server protocol
so that they can communicate.
10. Dead Acquisition
o Dead SQL Server acquisition is performed on a dormant SQL Server that is not
operational.
o Ideally, the SQL Server should be shut down using a “dirty” shutdown, commonly
accomplished by disconnecting the power cord(s) of a server. The obvious
downside to this approach is that all volatile data is lost when the system is
powered down.
o Once the SQL Server has been shut down, the system can be booted using a
floppy disk or boot media (e.g., CD), which will enable you to run a trusted data
acquisition application and acquire data.
o Dead analysis is deemed by many as the most reliable way to acquire digital data
from a target system. It is also typically faster than live analysis when imaging disks.
o A benefit to dead analysis is that its results can be easily reproduced because you
are dealing with static data images.
11. Hybrid Acquisition
o Hybrid acquisition can be viewed as a typical dead acquisition that is
performed after the live acquisition of volatile data.
o Live analysis doesn’t have to stop at volatile data.
o In some cases, it’s much easier to acquire selected nonvolatile data
using a live acquisition as opposed to extracting it from a dormant
system.
o Hybrid analysis allows you to control the ratio of live versus dead
acquisition to suit your needs.
13. Investigation Preparedness
● Investigation preparedness involves preparing the hardware and software
needed for an investigation.
● Steps to perform before a SQL Server Investigation:
1. Create a SQL Server incident response toolkit, which will ensure that the
tools required during future phases of the investigation are verified and
available upon request.
2. Prepare a forensic workstation for a SQL Server investigation.
3. Collect pre-developed SQL incident response scripts, which will
automate artifact preservation and reduce the time needed to preserve
key artifacts.
● Proper investigation preparedness can significantly increase the chances
of a successful outcome from the investigation.
14. Incident Verification
o Some organizations will not allow a database server to be removed from a
network to conduct a database forensic investigation without adequate
justification.
o During the incident verification phase, limited artifact collection and analysis is
performed to produce preliminary findings, with the goal of identifying digital
events that will justify the need for a full SQL Server forensic investigation.
o A third party, application, or system administrator may perform satisfactory
incident verification.
o In some scenarios, an organization may not have a say in the matter. In these
cases, the incident verification stage can be skipped and you can proceed
directly to artifact collection.
15. Artifact Collection
o Data collection involves the acquisition and preservation of data
targeted in the previous phase.
o During data collection, all database files and query outputs should be
preserved to ensure that their integrity was not compromised or
corrupted.
o Typically, data preservation is performed by generating digital hashes
using a trusted hashing algorithm such as MD5 or SHA-1.
o Data collection is a critical step in a database investigation, because
if your findings are selected for submission as evidence within a court
of law, you will need to prove the integrity of the data on which your
findings are based.