This document presents information on cyber forensics and fraud detection. It discusses the challenges of digital evidence collection and analysis. It also outlines the responsibilities of different parties in digital forensics like police, auditors, and technologists. Effective fraud detection requires highly trained personnel, appropriate tools, strong cyber laws, and certified fraud examiners. Common fraud types and detection methods using data mining techniques like decision trees and clustering are also summarized. The document emphasizes the importance of visualization and integrating multiple models to improve fraud prediction. Finally, it discusses challenges like imperfect data and the need for domain expertise in fraud detection.
CompTIA exam study guide presentations by instructor Brian Ferrill, PACE-IT (Progressive, Accelerated Certifications for Employment in Information Technology)
"Funded by the Department of Labor, Employment and Training Administration, Grant #TC-23745-12-60-A-53"
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CompTIA exam study guide presentations by instructor Brian Ferrill, PACE-IT (Progressive, Accelerated Certifications for Employment in Information Technology)
"Funded by the Department of Labor, Employment and Training Administration, Grant #TC-23745-12-60-A-53"
Learn more about the PACE-IT Online program: www.edcc.edu/pace-it
CompTIA exam study guide presentations by instructor Brian Ferrill, PACE-IT (Progressive, Accelerated Certifications for Employment in Information Technology)
"Funded by the Department of Labor, Employment and Training Administration, Grant #TC-23745-12-60-A-53"
Learn more about the PACE-IT Online program: www.edcc.edu/pace-it
CompTIA exam study guide presentations by instructor Brian Ferrill, PACE-IT (Progressive, Accelerated Certifications for Employment in Information Technology)
"Funded by the Department of Labor, Employment and Training Administration, Grant #TC-23745-12-60-A-53"
Learn more about the PACE-IT Online program: www.edcc.edu/pace-it
CompTIA exam study guide presentations by instructor Brian Ferrill, PACE-IT (Progressive, Accelerated Certifications for Employment in Information Technology)
"Funded by the Department of Labor, Employment and Training Administration, Grant #TC-23745-12-60-A-53"
Learn more about the PACE-IT Online program: www.edcc.edu/pace-it
A Proactive Approach in Network Forensic Investigation ProcessEditor IJCATR
nformation Assurance and Security (IAS) is a crucial component in the corporate environment to ensure that the secrecy of
sensitive data is protected, the integrity of important data is not violated, and the availability of critical systems is guaranteed. The
advancement of Information communication and technology into a new era and domain such as mobility and Internet of Things,
its ever growing user’s base and sophisticated cyber-attacks forces the organizations to deploy automated and robust defense
mechanism to manage resultant digital security incidences in real time. Digital forensic is a scientific process that facilitates
detection of illegal activities and in-appropriate behaviors using scientific tools, techniques and investigation frameworks. This
research aims at identifying processes that facilitate and improves digital forensic investigation process. Existing digital forensic
framework will be reviewed and the analysis will be compiled toderive a network forensic investigation framework that include
evidence collection, preservation and analysis at a sensor level and in real time. It is aimed to discover complete relationship with
optimal performance among known and unseen/new alerts generated by multiple network sensors in order to improve the quality
of alert and recognize attack strategy
CompTIA exam study guide presentations by instructor Brian Ferrill, PACE-IT (Progressive, Accelerated Certifications for Employment in Information Technology)
"Funded by the Department of Labor, Employment and Training Administration, Grant #TC-23745-12-60-A-53"
Learn more about the PACE-IT Online program: www.edcc.edu/pace-it
CompTIA exam study guide presentations by instructor Brian Ferrill, PACE-IT (Progressive, Accelerated Certifications for Employment in Information Technology)
"Funded by the Department of Labor, Employment and Training Administration, Grant #TC-23745-12-60-A-53"
Learn more about the PACE-IT Online program: www.edcc.edu/pace-it
CompTIA exam study guide presentations by instructor Brian Ferrill, PACE-IT (Progressive, Accelerated Certifications for Employment in Information Technology)
"Funded by the Department of Labor, Employment and Training Administration, Grant #TC-23745-12-60-A-53"
Learn more about the PACE-IT Online program: www.edcc.edu/pace-it
CompTIA exam study guide presentations by instructor Brian Ferrill, PACE-IT (Progressive, Accelerated Certifications for Employment in Information Technology)
"Funded by the Department of Labor, Employment and Training Administration, Grant #TC-23745-12-60-A-53"
Learn more about the PACE-IT Online program: www.edcc.edu/pace-it
CompTIA exam study guide presentations by instructor Brian Ferrill, PACE-IT (Progressive, Accelerated Certifications for Employment in Information Technology)
"Funded by the Department of Labor, Employment and Training Administration, Grant #TC-23745-12-60-A-53"
Learn more about the PACE-IT Online program: www.edcc.edu/pace-it
A Proactive Approach in Network Forensic Investigation ProcessEditor IJCATR
nformation Assurance and Security (IAS) is a crucial component in the corporate environment to ensure that the secrecy of
sensitive data is protected, the integrity of important data is not violated, and the availability of critical systems is guaranteed. The
advancement of Information communication and technology into a new era and domain such as mobility and Internet of Things,
its ever growing user’s base and sophisticated cyber-attacks forces the organizations to deploy automated and robust defense
mechanism to manage resultant digital security incidences in real time. Digital forensic is a scientific process that facilitates
detection of illegal activities and in-appropriate behaviors using scientific tools, techniques and investigation frameworks. This
research aims at identifying processes that facilitate and improves digital forensic investigation process. Existing digital forensic
framework will be reviewed and the analysis will be compiled toderive a network forensic investigation framework that include
evidence collection, preservation and analysis at a sensor level and in real time. It is aimed to discover complete relationship with
optimal performance among known and unseen/new alerts generated by multiple network sensors in order to improve the quality
of alert and recognize attack strategy
CompTIA exam study guide presentations by instructor Brian Ferrill, PACE-IT (Progressive, Accelerated Certifications for Employment in Information Technology)
"Funded by the Department of Labor, Employment and Training Administration, Grant #TC-23745-12-60-A-53"
Learn more about the PACE-IT Online program: www.edcc.edu/pace-it
Data Leakage is an important concern for the business organizations in this increasingly networked world these days. Unauthorized disclosure may have serious consequences for an organization in both long term and short term. Risks include losing clients and stakeholder confidence, tarnishing of brand image, landing in unwanted lawsuits, and overall losing goodwill and market share in the industry.
CompTIA exam study guide presentations by instructor Brian Ferrill, PACE-IT (Progressive, Accelerated Certifications for Employment in Information Technology)
"Funded by the Department of Labor, Employment and Training Administration, Grant #TC-23745-12-60-A-53"
Learn more about the PACE-IT Online program: www.edcc.edu/pace-it
CompTIA exam study guide presentations by instructor Brian Ferrill, PACE-IT (Progressive, Accelerated Certifications for Employment in Information Technology)
"Funded by the Department of Labor, Employment and Training Administration, Grant #TC-23745-12-60-A-53"
Learn more about the PACE-IT Online program: www.edcc.edu/pace-it
CompTIA exam study guide presentations by instructor Brian Ferrill, PACE-IT (Progressive, Accelerated Certifications for Employment in Information Technology)
"Funded by the Department of Labor, Employment and Training Administration, Grant #TC-23745-12-60-A-53"
Learn more about the PACE-IT Online program: www.edcc.edu/pace-it
CompTIA exam study guide presentations by instructor Brian Ferrill, PACE-IT (Progressive, Accelerated Certifications for Employment in Information Technology)
"Funded by the Department of Labor, Employment and Training Administration, Grant #TC-23745-12-60-A-53"
Learn more about the PACE-IT Online program: www.edcc.edu/pace-it
Symantec announced it is planning to offer Symantec Data Loss Prevention for Tablet, the first comprehensive data loss prevention (DLP) solution for the monitoring and protection of sensitive information on tablet computers. Available first for the Apple iPad, Symantec Data Loss Prevention for Tablet will help solve one of the most urgent problems facing security organizations today by providing content-aware protection for this remarkably popular new corporate endpoint. The solution is designed to maintain user productivity and protect an organization’s confidential data at the same time.
A Non-Confidential Slide Deck for CSR-Support and its dba Cyber Support Solutions. We have a proprietary solution to stop Data Breaches and allow personal liberties from the same computer terminal.
Every single security company is talking about how they are using machine learning—as a security company you have to claim artificial intelligence to be even part of the conversation. However, this approach can be dangerous when we blindly rely on algorithms to do the right thing. Rather than building systems with actual security knowledge, companies are using algorithms that nobody understands and, in turn, discovering wrong insights.
In this session, we will discuss:
• Limitations of machine learning and issues of explainability
• Where deep learning should never be applied
• Examples of how the blind application of algorithms can lead to wrong results
ISSA DLP Presentation - Oxford Consulting Groupaengelbert
For many organizations, there is an unsettling reality that they do not have the adequate visibility over critical data assets within their environment. This is one of many factors that are driving companies to consider Data Loss Prevention (DLP) technologies. In this session, we’ll remove the typical fear, uncertainty and doubt spin surrounding this technology and focus on a holistic solution that leverages this technology to enable your business.
Shariyaz abdeen data leakage prevention presentationShariyaz Abdeen
Data leakage prevention is one of the key topics which we have been talking in present. Due to the organizations moving towards big data, financial systems.. which resides in cyber space, there is an increasing number of frauds associated with the technology revolution in the cyberspace.This post highlights the threats and the counter measures, so we can protect the sensitive personal data. I prefer the approach of “ Trust but verify model ”.
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.
A more in-depth analysis of cyber forensics; but explained eloquently for the beginner, by Chaitanya Dhareshwar - Cyber Crime Investigator, Technocrat and Entrepreneur.
Learn what cyber forensics is all about and how you can begin using the basic tools of forensics in your day to day life. Not only does it make the world a safer place, your data remains significantly more secure.
Every step you take towards cyber security in this lawless internet allows you to achieve greater knowledge unhindered.
CompTIA exam study guide presentations by instructor Brian Ferrill, PACE-IT (Progressive, Accelerated Certifications for Employment in Information Technology)
"Funded by the Department of Labor, Employment and Training Administration, Grant #TC-23745-12-60-A-53"
Learn more about the PACE-IT Online program: www.edcc.edu/pace-it
Data Leakage is an important concern for the business organizations in this increasingly networked world these days. Unauthorized disclosure may have serious consequences for an organization in both long term and short term. Risks include losing clients and stakeholder confidence, tarnishing of brand image, landing in unwanted lawsuits, and overall losing goodwill and market share in the industry.
CompTIA exam study guide presentations by instructor Brian Ferrill, PACE-IT (Progressive, Accelerated Certifications for Employment in Information Technology)
"Funded by the Department of Labor, Employment and Training Administration, Grant #TC-23745-12-60-A-53"
Learn more about the PACE-IT Online program: www.edcc.edu/pace-it
CompTIA exam study guide presentations by instructor Brian Ferrill, PACE-IT (Progressive, Accelerated Certifications for Employment in Information Technology)
"Funded by the Department of Labor, Employment and Training Administration, Grant #TC-23745-12-60-A-53"
Learn more about the PACE-IT Online program: www.edcc.edu/pace-it
CompTIA exam study guide presentations by instructor Brian Ferrill, PACE-IT (Progressive, Accelerated Certifications for Employment in Information Technology)
"Funded by the Department of Labor, Employment and Training Administration, Grant #TC-23745-12-60-A-53"
Learn more about the PACE-IT Online program: www.edcc.edu/pace-it
CompTIA exam study guide presentations by instructor Brian Ferrill, PACE-IT (Progressive, Accelerated Certifications for Employment in Information Technology)
"Funded by the Department of Labor, Employment and Training Administration, Grant #TC-23745-12-60-A-53"
Learn more about the PACE-IT Online program: www.edcc.edu/pace-it
Symantec announced it is planning to offer Symantec Data Loss Prevention for Tablet, the first comprehensive data loss prevention (DLP) solution for the monitoring and protection of sensitive information on tablet computers. Available first for the Apple iPad, Symantec Data Loss Prevention for Tablet will help solve one of the most urgent problems facing security organizations today by providing content-aware protection for this remarkably popular new corporate endpoint. The solution is designed to maintain user productivity and protect an organization’s confidential data at the same time.
A Non-Confidential Slide Deck for CSR-Support and its dba Cyber Support Solutions. We have a proprietary solution to stop Data Breaches and allow personal liberties from the same computer terminal.
Every single security company is talking about how they are using machine learning—as a security company you have to claim artificial intelligence to be even part of the conversation. However, this approach can be dangerous when we blindly rely on algorithms to do the right thing. Rather than building systems with actual security knowledge, companies are using algorithms that nobody understands and, in turn, discovering wrong insights.
In this session, we will discuss:
• Limitations of machine learning and issues of explainability
• Where deep learning should never be applied
• Examples of how the blind application of algorithms can lead to wrong results
ISSA DLP Presentation - Oxford Consulting Groupaengelbert
For many organizations, there is an unsettling reality that they do not have the adequate visibility over critical data assets within their environment. This is one of many factors that are driving companies to consider Data Loss Prevention (DLP) technologies. In this session, we’ll remove the typical fear, uncertainty and doubt spin surrounding this technology and focus on a holistic solution that leverages this technology to enable your business.
Shariyaz abdeen data leakage prevention presentationShariyaz Abdeen
Data leakage prevention is one of the key topics which we have been talking in present. Due to the organizations moving towards big data, financial systems.. which resides in cyber space, there is an increasing number of frauds associated with the technology revolution in the cyberspace.This post highlights the threats and the counter measures, so we can protect the sensitive personal data. I prefer the approach of “ Trust but verify model ”.
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.
A more in-depth analysis of cyber forensics; but explained eloquently for the beginner, by Chaitanya Dhareshwar - Cyber Crime Investigator, Technocrat and Entrepreneur.
Learn what cyber forensics is all about and how you can begin using the basic tools of forensics in your day to day life. Not only does it make the world a safer place, your data remains significantly more secure.
Every step you take towards cyber security in this lawless internet allows you to achieve greater knowledge unhindered.
This presentation helps to get an overview of how data science works in the field of cybersecurity and also helps to understand the present challenges faced by this sector .
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Digital forensics research: The next 10 yearsMehedi Hasan
Today’s Golden Age of computer forensics is quickly coming to an end. Without a clear strategy for enabling research efforts that build upon one another, forensic research will fall behind the market, tools will become increasingly obsolete, and law enforcement, military and other users of computer forensics products will be unable to rely on the results of forensic analysis. This article summarizes current forensic research directions and argues that to move forward the community needs to adopt standardized, modular approaches for data representation and forensic processing.
@2010 Digital Forensic Research Workshop. Published by Elsevier Ltd. All rights reserved
The Anti-Forensics Challenge Kamal Dahbur [email pro.docxmehek4
The Anti-Forensics Challenge
Kamal Dahbur
[email protected]
Bassil Mohammad
[email protected]
School of Engineering and Computing Sciences
New York Institute of Technology
Amman, Jordan
ABSTRACT
Computer and Network Forensics has emerged as a new field in
IT that is aimed at acquiring and analyzing digital evidence for
the purpose of solving cases that involve the use, or more
accurately misuse, of computer systems. Many scientific
techniques, procedures, and technological tools have been
evolved and effectively applied in this field. On the opposite
side, Anti-Forensics has recently surfaced as a field that aims at
circumventing the efforts and objectives of the field of computer
and network forensics. The purpose of this paper is to highlight
the challenges introduced by Anti-Forensics, explore the various
Anti-Forensics mechanisms, tools and techniques, provide a
coherent classification for them, and discuss thoroughly their
effectiveness. Moreover, this paper will highlight the challenges
seen in implementing effective countermeasures against these
techniques. Finally, a set of recommendations are presented with
further seen research opportunities.
Categories and Subject Descriptors
K.6.1 [Management of Computing and Information
Systems]: Projects and People Management – System Analysis
and Design, System Development.
General Terms
Management, Security, Standardization.
Keywords
Computer Forensics (CF), Computer Anti-Forensics (CAF),
Digital Evidence, Data Hiding.
1. INTRODUCTION
The use of technology is increasingly spreading
covering various aspects of our daily lives. An equal increase, if
not even more, is realized in the methods and techniques created
with the intention to misuse the technologies serving varying
objectives being political, personal or anything else. This has
clearly been reflected in our terminology as well, where new
terms like cyber warfare, cyber security, and cyber crime,
amongst others, were introduced. It is also noticeable that such
attacks are getting increasingly more sophisticated, and are
utilizing novel methodologies and techniques. Fortunately, these
attacks leave traces on the victim systems that, if successfully
recovered and analyzed, might help identify the offenders and
consequently resolve the case(s) justly and in accordance with
applicable laws. For this purpose, new areas of research emerged
addressing Network Forensics and Computer Forensics in order
to define the foundation, practices and acceptable frameworks
for scientifically acquiring and analyzing digital evidence in to
be presented in support of filed cases. In response to Forensics
efforts, Anti-Forensics tools and techniques were created with
the main objective of frustrating forensics efforts, and taunting
its credibility and reliability.
This paper attempts to provide a clear definition for Computer
Anti-Forensics and consolidates various aspects of the topi ...
The Anti-Forensics Challenge Kamal Dahbur [email pro.docxmattinsonjanel
The Anti-Forensics Challenge
Kamal Dahbur
[email protected]
Bassil Mohammad
[email protected]
School of Engineering and Computing Sciences
New York Institute of Technology
Amman, Jordan
ABSTRACT
Computer and Network Forensics has emerged as a new field in
IT that is aimed at acquiring and analyzing digital evidence for
the purpose of solving cases that involve the use, or more
accurately misuse, of computer systems. Many scientific
techniques, procedures, and technological tools have been
evolved and effectively applied in this field. On the opposite
side, Anti-Forensics has recently surfaced as a field that aims at
circumventing the efforts and objectives of the field of computer
and network forensics. The purpose of this paper is to highlight
the challenges introduced by Anti-Forensics, explore the various
Anti-Forensics mechanisms, tools and techniques, provide a
coherent classification for them, and discuss thoroughly their
effectiveness. Moreover, this paper will highlight the challenges
seen in implementing effective countermeasures against these
techniques. Finally, a set of recommendations are presented with
further seen research opportunities.
Categories and Subject Descriptors
K.6.1 [Management of Computing and Information
Systems]: Projects and People Management – System Analysis
and Design, System Development.
General Terms
Management, Security, Standardization.
Keywords
Computer Forensics (CF), Computer Anti-Forensics (CAF),
Digital Evidence, Data Hiding.
1. INTRODUCTION
The use of technology is increasingly spreading
covering various aspects of our daily lives. An equal increase, if
not even more, is realized in the methods and techniques created
with the intention to misuse the technologies serving varying
objectives being political, personal or anything else. This has
clearly been reflected in our terminology as well, where new
terms like cyber warfare, cyber security, and cyber crime,
amongst others, were introduced. It is also noticeable that such
attacks are getting increasingly more sophisticated, and are
utilizing novel methodologies and techniques. Fortunately, these
attacks leave traces on the victim systems that, if successfully
recovered and analyzed, might help identify the offenders and
consequently resolve the case(s) justly and in accordance with
applicable laws. For this purpose, new areas of research emerged
addressing Network Forensics and Computer Forensics in order
to define the foundation, practices and acceptable frameworks
for scientifically acquiring and analyzing digital evidence in to
be presented in support of filed cases. In response to Forensics
efforts, Anti-Forensics tools and techniques were created with
the main objective of frustrating forensics efforts, and taunting
its credibility and reliability.
This paper attempts to provide a clear definition for Computer
Anti-Forensics and consolidates various aspects of the topi ...
Mobile Devices: Systemisation of Knowledge about Privacy Invasion Tactics and...CREST
This presentation reviews privacy concerns for mobile devices and outlines the importance of privacy engineering in ensuring users have safe access to their devices.
ISSN 2395-650X
The "International Journal of Life Sciences Biotechnology and Pharma Sciences journal appears to be a valuable resource for those interested in staying updated on the latest developments and research in these important scientific fields of Life and science journal.
DATA SCIENCE METHODOLOGY FOR CYBERSECURITY PROJECTS cscpconf
Cybersecurity solutions are traditionally static and signature-based. The traditional solutions
along with the use of analytic models, machine learning and big data could be improved by
automatically trigger mitigation or provide relevant awareness to control or limit consequences
of threats. This kind of intelligent solutions is covered in the context of Data Science for
Cybersecurity. Data Science provides a significant role in cybersecurity by utilising the power
of data (and big data), high-performance computing and data mining (and machine learning) to
protect users against cybercrimes. For this purpose, a successful data science project requires
an effective methodology to cover all issues and provide adequate resources. In this paper, we
are introducing popular data science methodologies and will compare them in accordance with
cybersecurity challenges. A comparison discussion has also delivered to explain methodologies’
strengths and weaknesses in case of cybersecurity projects.
With the advent of the internet, cyber-attacks are changing rapidly and the security situation on the internet is not always optimistic. Machine Learning (ML) and In-depth Learning (DL) methods for community-based access to entry and present a quick teaching definition of the entire ML/DL method. Representative papers all the way have been listed, read, and summarized primarily based on their temporary or thermal interactions. Because information is critical to ML/DL strategies, it describes the amount of commonly used public databases used in ML/DL, discusses the complexities of using ML/DL for Internet protection and provides guidelines for course guides. KDD a set of information is a symbol of standing that is widely recognized within the study of the Acquisition strategies. A lot of work is underway to develop innocent identification strategies as information courses used to read and test the diagnostic version are equally problematic because high-quality information can improve offline access. This paper provides a KDD knowledge test set by recognizing the 4 Basic Courses, Content, Traffic and Handling in which all information attributes can be categorized using the Modified Random Forest (MRF). The test was completed by identifying the remaining 2 metric metrics, Visual Rate (DR) and False Noise Scale (FAR) of the Intervention Detection System (IDS). As a result of this evidence-based evaluation of the data set, the contribution of all 4 character studies in DR and FAR has been proven to help determine the validity of the information set.
In this presentation we will look at the cause and effect of the problem, analyze preparedness and learn how you can better prepare, detect, respond and recover from cyber-attacks.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
ATTACK DETECTION AVAILING FEATURE DISCRETION USING RANDOM FOREST CLASSIFIERCSEIJJournal
The widespread use of the Internet has an adverse effect of being vulnerable to cyber attacks. Defensive
mechanisms like firewalls and IDSs have evolved with a lot of research contributions happening in these
areas. Machine learning techniques have been successfully used in these defense mechanisms especially
IDSs. Although they are effective to some extent in identifying new patterns and variants of existing
malicious patterns, many attacks are still left as undetected. The objective is to develop an algorithm for
detecting malicious domains based on passive traffic measurements. In this paper, an anomaly-based
intrusion detection system based on an ensemble based machine learning classifier called Random Forest
with gradient boosting is deployed. NSL-KDD cup dataset is used for analysis and out of 41 features, 32
features were identified as significant using feature discretion. Our observations confirm the conjecture
that both the feature selection and stochastic based genetic operators improves the accuracy and the
effectiveness. The training time is shown to be reduced tremendously by 98.59% and accuracy improved to
98.75%.
Attack Detection Availing Feature Discretion using Random Forest ClassifierCSEIJJournal
The widespread use of the Internet has an adverse effect of being vulnerable to cyber attacks. Defensive
mechanisms like firewalls and IDSs have evolved with a lot of research contributions happening in these
areas. Machine learning techniques have been successfully used in these defense mechanisms especially
IDSs. Although they are effective to some extent in identifying new patterns and variants of existing
malicious patterns, many attacks are still left as undetected. The objective is to develop an algorithm for
detecting malicious domains based on passive traffic measurements. In this paper, an anomaly-based
intrusion detection system based on an ensemble based machine learning classifier called Random Forest
with gradient boosting is deployed. NSL-KDD cup dataset is used for analysis and out of 41 features, 32
features were identified as significant using feature discretion.
Similar to Cyber forensics intro & requirement engineering cit dec 21,2013 (20)
Enhancing Performance with Globus and the Science DMZGlobus
ESnet has led the way in helping national facilities—and many other institutions in the research community—configure Science DMZs and troubleshoot network issues to maximize data transfer performance. In this talk we will present a summary of approaches and tips for getting the most out of your network infrastructure using Globus Connect Server.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Welcome to the first live UiPath Community Day Dubai! Join us for this unique occasion to meet our local and global UiPath Community and leaders. You will get a full view of the MEA region's automation landscape and the AI Powered automation technology capabilities of UiPath. Also, hosted by our local partners Marc Ellis, you will enjoy a half-day packed with industry insights and automation peers networking.
📕 Curious on our agenda? Wait no more!
10:00 Welcome note - UiPath Community in Dubai
Lovely Sinha, UiPath Community Chapter Leader, UiPath MVPx3, Hyper-automation Consultant, First Abu Dhabi Bank
10:20 A UiPath cross-region MEA overview
Ashraf El Zarka, VP and Managing Director MEA, UiPath
10:35: Customer Success Journey
Deepthi Deepak, Head of Intelligent Automation CoE, First Abu Dhabi Bank
11:15 The UiPath approach to GenAI with our three principles: improve accuracy, supercharge productivity, and automate more
Boris Krumrey, Global VP, Automation Innovation, UiPath
12:15 To discover how Marc Ellis leverages tech-driven solutions in recruitment and managed services.
Brendan Lingam, Director of Sales and Business Development, Marc Ellis
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Securing your Kubernetes cluster_ a step-by-step guide to success !
Cyber forensics intro & requirement engineering cit dec 21,2013
1. Cyber Forensics
An intro & Requirement Engineering
Prof. K. Subramanian
SM(IEEE), SMACM, FIETE, LSMCSI,MAIMA,MAIS,MCFE,LM(CGAER)
Academic Advocate ISACA(USA) in India
Professor & Former Director, Advanced Center for Informatics & Innovative Learning
(ACIIL), IGNOU
HON.IT Adviser to CAG of India
& Ex-DDG(NIC), Min of Communications & Information Technol9ogy
Former President, Cyber Society of India
Founder President, eInformation Systems Security Audit Association (eISSA), India
12/14/13 Prof. KS@2013 cit FDP coimbatore Dec 21,2013
1
4. Cyber/Information Forensics
New Challenges
Evidence
Collection
Collation
Organization
Analysis
Presentation
Preservation
Acceptable to Judiciary
Environment
Identity Management
Access Mechanism
Local
Remote
Single network
Multiple network
Access control
Password controlled
Token Controlled
Bio-metric Controlled
Encrypted/Non Encrypted
12/14/13 Prof. KS@2013 cit FDP coimbatore Dec 21,2013
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4
5. Whose Responsibility?
Digital Forensics
Police/Investigators
Prosecutors
Auditors
Technologists
What is required?
A highly trained manpower
Appropriate tools
Strong Cyber Law
Certified Fraud Examiners
Methods:
12/14/13
E-mail tracking
Hard Disk forensics
Decrypting of data
Finding hidden/ embedded
links
Tracing compromised source
servers
12/14/13 Prof. KS@2013 cit FDP coimbatore Dec 21,2013
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5
6. What could all this lead to?
Loss of Confidential//Secret Information
Loss of Confidential Secret Information
Loss of intellectual property
Loss of intellectual property
Loss of customer confidence
Loss of customer confidence
Loss of Revenue
Loss of Revenue
Implications on social set up
Implications on social set up
CYBER TERRORISM
CYBER TERRORISM
12/14/13
12/14/13 Prof. KS@2013 cit FDP coimbatore Dec 21,2013
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6
7. Auditors fail to discover Fraud because they are
not looking for it!
Victims seldom squeal! It is not good form to be
the whistle blower, the bad guy, one who reveals
all.
Human nature:
Hide failures not admit them
Conceal problems not discuss them
Defend wrong decisions not admit them
Cover up mistakes not own up
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12/14/13 Prof. KS@2013 cit FDP coimbatore Dec 21,2013
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7
8. What is Forensic Audit?
Forensic – “Belonging to, used in or suitable to
courts of judicature or to public discussion and
debate.
Audit - the process which identifies the extent of
conformance (or otherwise) of actual events with
intended events and pre-determined norms for
different activity segments in accordance with
established criteria.
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8
9. Forensic Auditing
Forensic Auditing encompasses:
Fraud detection
Fraud investigation
Fraud prevention
Skills required of forensic accountants:
Accounting/Finance expertise
Fraud knowledge
Knowledge of legal system
Ability to work with people
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9
10. Change in the focus of Forensic Audit
changing environment
technological advances
emerging expectations and the widening gap, and
changes in the profile of the fraudster and frauds and
fraudster technologies themselves.
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10
11. Financial Auditing vs. Fraud Auditing
Financial Auditing
Program procedural
approach
Control risk
approach (focus on
IC strengths)
Focus on errors and
omissions
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Fraud Auditing
Not program
oriented
“Think like a crook”
approach (focus on
IC weaknesses)
Focus on exceptions,
oddities, and
patterns of conduct
12/14/13 Prof. KS@2013 cit FDP coimbatore Dec 21,2013
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11
12. Financial Auditing vs. Fraud Auditing
Financial Auditing
Emphasis on
materiality
Logical accounting and
auditing background
Internal/external
auditors are credited
with finding about 4%
to 20% of uncovered
fraud
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Fraud Auditing
“Where there’s smoke,
there’s fire.”
Illogical, behavioral
motive, opportunity,
integrity
Fraud examiner rate
much higher because
fraud auditors are only
called in when fraud is
known or highly
suspected.
12/14/13 Prof. KS@2013 cit FDP coimbatore Dec 21,2013
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12
13. Types of Frauds
Management Frauds
Direct Illegal Acts
Employee Frauds
White collar crimes
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Corruption and
bribing
Cyber/Net frauds
Cyber terrorism
InfoTech Warfare
12/14/13 Prof. KS@2013 cit FDP coimbatore Dec 21,2013
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13
14. Forensic Audit should ensure that it is –
A means to an end
A guide to decision making
Enables improvement of society
Empowers decision makers with state of the art
verifiable inputs
Enables enactment of effective laws
Promotes effective delivery of justice in accordance
with the cannons and tenets
12/14/13
Cyber security & Cyber forensics seminar CSI-IETE
March KS@2013 cit FDP coimbatore Dec 21,2013
12/14/13 Prof.28, 2009
14
14
15. Tools & Technologies
database,
Certified tool & Proprietary tool
Natural Methods of evidence Collection-
Built-in tools
Centralized Vs Decentralized & Distributed
Investigative Data Mining and Problems
in Fraud Detection
Definitions
Technical and Practical Problems
Existing Fraud Detection Methods
Widely used methods
The Crime Detection Method
Comparisons with Minority Report
Classifiers as Precogs
Combining Output as Integration
Mechanisms
Cluster Detection as Analytical Machinery
Visualization Techniques as Visual
Symbols
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machine learning,
neural networks,
data visualization,
statistics,
distributed data
mining.
Communication &
Network
technologies
Wired
Wireless
Mobile
Web & Internet
Cyber security & Cyber forensics seminar CSI-IETE
March KS@2013 cit FDP coimbatore Dec 21,2013
12/14/13 Prof.28, 2009
15
15
16. Implementing the Crime
Detection System:
Action Components
Preparation components
Investigation objectives
Collected data
Preparation of collected
data to achieve
objectives
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Which experiments
generate best
predictions?
Which is the best
insight?
How can the new
models and insights be
deployed within an
organization?
12/14/13 Prof. KS@2013 cit FDP coimbatore Dec 21,2013
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16
17. Fraud Detection Problems
Technical & Practical
Practical
Technical
•
Imperfect data
•
– Usually not collected for data
mining
– Inaccurate, incomplete, and
irrelevant data attributes
•
Highly skewed data
– Many more legitimate than
•
fraudulent examples
– Higher chances of over fitting
•
Black-box predictions
– Numerical outputs
– Predictive accuracy are useless for
•
skewed data sets
Great variety of fraud scenarios over
time
Soft fraud – Cost of investigation > Cost
of fraud
– Hard fraud – Circumvents anti-fraud
coimbatore Dec 21,2013
17
17
12/14/13 Prof. KS@2013 cit FDP measures
incomprehensible to people
12/14/13
Lack of domain knowledge
– Important attributes, likely
relationships, and known
patterns
– Three types of fraud offenders
and their modus operandi
Assessing data mining potential
–
18. Widely Used Methods in Fraud
•Detection
Insurance Fraud
– Cluster detection -> decision tree induction -> domain
knowledge, statistical summaries, and visualisations
– Special case: neural network classification -> cluster
detection
• Credit Card Fraud
– Decision tree and naive Bayesian classification ->
stacking
• Telecommunications Fraud
– Cluster detection -> scores and rules
12/14/13
Cyber security & Cyber forensics seminar CSI-IETE
March KS@2013 cit FDP coimbatore Dec 21,2013
12/14/13 Prof.28, 2009
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18
19. The Crime Detection Method
Comparisons with Minority Report
• Precogs
– Foresee and prevent crime
– Each precog contains multiple classifiers
• Integration Mechanisms
– Combine predictions
• Analytical Machinery
– Record, study, compare, and represent predictions in simple terms
– Single “computer”
• Visual Symbols
– Explain the final predictions
– Graphical visualizations, numerical scores, and descriptive rules
12/14/13
12/14/13 Prof. KS@2013 cit FDP coimbatore Dec 21,2013
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19
20. Classifiers as Precogs
Precog One: Naive Bayesian Classifiers
–
–
–
Statistical paradigm
Simple and Fast
Redundant and not normally distributed attributes*
Precog Two: Classifiers
–
–
–
Computer metaphor
Explain patterns and quite fast
Scalability and efficiency
Precog Three: Back-propagation Classifiers
–
–
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Brain metaphor
Long training times and extensive parameter tuning*
12/14/13 Prof. KS@2013 cit FDP coimbatore Dec 21,2013
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20
21. Combining Output as Integration Mechanisms
• Cross Validation
– Divides training data into eleven data partitions
– Each data partition used for training, testing, and
evaluation once*
– Slightly better success rate
• Bagging
– Unweighted majority voting on each example or
instance
– Combine predictions from same algorithm or different
algorithms*
– Increases success rate
12/14/13
12/14/13
Prof. KS@2013 cit FDP coimbatore Dec 21,2013
21
22. Combining Output as Integration Mechanisms
• Stacking
– Meta-classifier
– Base classifiers present predictions to metaclassifier
– Determines the most reliable classifiers
12/14/13
12/14/13 Prof. KS@2013 cit FDP coimbatore Dec 21,2013
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22
23. Cluster Detection as Analytical Machinery
Visualisation Techniques as Visual Symbols
• Analytical Machinery: Self Organising Maps
– Clusters high dimensional elements into more simple,
low dimensional maps
– Automatically groups similar instances together
– Do not specify an easy-to-understand model*
• Visual Symbols: Classification and Clustering
Visualisations
– Classification visualisation – confusion matrix
- naive Bayesian visualisation
– Clustering visualisation
- column grap
12/14/13
12/14/13 Prof. KS@2013 cit FDP coimbatore Dec 21,2013
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23
24. The Crime Detection System:
•Preparation Component
Problem Understanding
– Determine investigation objectives
- Choose
- Explain
– Assess situation
- Available tools
- Available data set
- Cost model
– Determine data mining objectives
- Max hits/Min false alarms
– Produce project plan
- Time
- Tools
12/14/13
12/14/13 Prof. KS@2013 cit FDP coimbatore Dec 21,2013
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24
25. The Crime Detection System:
Preparation Component
Data Understanding
Describe data
- Explore data
- Claim trends by month
- Age of vehicles
- Age of policy holder
Verify data
- Good data quality
- Duplicate attribute, highly skewed attributes
12/14/13
12/14/13 Prof. KS@2013 cit FDP coimbatore Dec 21,2013
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25
26. The Crime Detection System:
Preparation Component
Data Preparation
Select data
- All, except one attribute, are retained for analysis
Clean data
- Missing values replaced
- Spelling mistakes corrected
Format data
- All characters converted to lowercase
- Underscore symbol
Construct data
- Derived attributes
- - Numerical input
Partition data
- Data multiplication or oversampling
- For example, 50/50 distribution
12/14/13
12/14/13 Prof. KS@2013 cit FDP coimbatore Dec 21,2013
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26
28. • Deployment
– Plan deployment
- Manage geographically distributed databases using
distributed data mining
- Take time into account
– Plan monitoring and maintenance
- Determined by rate of change in external environment
and organisational
requirements
- Rebuild models when cost savings are below a certain
percentage of maximum
cost savings possible
12/14/13
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28
29. •
•
•
•
•
•
•
•
New Crime Detection Method
Crime Detection System
Cost Model
Visualisations
Statistics
Score-based Feature
Extensive Literature Review
In-depth Analysis of Algorithms
12/14/13
12/14/13 Prof. KS@2013 cit FDP coimbatore Dec 21,2013
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29
30. • Imperfect data
–
–
–
–
Statistical evaluation and confidence intervals
Preparation component of crime detection system
Derived attributes
Cross validation
• Highly skewed data
– Partitioned data with most appropriate distribution
– Cost model
• Black-box predictions
– Classification and clustering visualisation
– Sorted scores and predefined thresholds, rules
12/14/13
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30
31. • Lack of domain knowledge
– Action component of crime detection system
– Extensive literature review
• Great variety of fraud scenarios over time
– SOM
– Crime detection method
– Choice of algorithms
• Assessing data mining potential
– Quality and quantity of data
– Cost model
– z-scores
12/14/13
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31
32.
FOR FURTHER INFORMATION PLEASE CONTACT :-
E-MAIL: ksdir@nic.in,
ks@eissa.org;ksmanian@ignou.ac.in;
ksmanian48@gmail.com
91-11-29533068
Fax:91-11-29533068
ACIIL, Block &, Room 16,
Maidan Garhi, IGNOU
Open for Interaction?
New Delhi-110068
12/14/13
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