Sniffing is the process of monitoring and capturing all the packets passing through a given network using sniffing tools. It is a form of “tapping phone wires” and get to know about the conversation. It is also called wiretapping applied to the computer networks.
There is so much possibility that if a set of enterprise switch ports is open, then one of their employees can sniff the whole traffic of the network. Anyone in the same physical location can plug into the network using Ethernet cable or connect wirelessly to that network and sniff the total traffic.
In other words, Sniffing allows you to see all sorts of traffic, both protected and unprotected. In the right conditions and with the right protocols in place, an attacking party may be able to gather information that can be used for further attacks or to cause other issues for the network or system owner.
Network Intrusion Prevention by Configuring ACLs on the Routers, based on Sno...Disha Bedi
Base Paper presented by - Muhammad Naveed, Shams un Nihar and Mohammad Inayatullah Babar At 2010 6th International Conference on Emerging Technologies (ICET)
Wireshark is an open-source network protocol analyzer tool that can capture and analyze live network packets. It is used by network engineers to troubleshoot network performance issues and by security professionals for network forensics. The document discusses Wireshark's history and development, its modes of operation in Windows including graphical and command line interfaces, how to analyze captured packet data by observing packet colors and filters, and how Wireshark can be used to monitor networks and identify threats such as port scanning and malware downloads.
In this research work an Intrusion Detection System (IDS) and Intrusion Prevention System (IPS) will be implemented to detect and prevent critical networks infrastructure from cyber-attacks. To strengthen network security and improve the network's active defense intrusion detection capabilities, this project will consist of intrusion detection system using honey token based encrypted pointers and intrusion prevention system which based on the mixed interactive honeypot. The Intrusion Detection System (IDS) is based on the novel approach of Honey Token based Encrypted Pointers. This honey token inside the frame will serve as a trap for the attacker. All nodes operating within the working domain of critical infrastructure network are divided into four different pools. This division is based per their computational power and level of vulnerability. These pools are provided with different levels of security measures within the network. IDS use different number of Honey Tokens (HT) per frame for every different pool e.g. Pool-A contains 4 HT/frame, Pool-B contains 3 HT/frame, Pool-C contains 2 HT/frame and Pool-D contain 1 HT/frame. Moreover, every pool uses different types of encryption schemes (AES-128,192,256). Our critical infrastructure network of 64 nodes is under the umbrella of unified security provided by this single Network Intrusion Detection System (NIDS). After the design phase of IDS, we analyze the performance of IDS in terms of True Positives (TP) and False Negatives (FN). Finally, we test these IDS through Network Penetration Testing (NPT) phase. The detection rate depends on the number of honey tokens per frame. Our proposed IDS are a scalable solution and it can be implemented for any number of nodes in critical infrastructure network. However, in case of Intrusion Prevention System (IPS) we use Virtual honeypot technology which is the best active prevention technology among all honeypot technologies. By using the original operating system and virtual technology, the honeypot lures attackers in a pre-arranged manner, analyzes and audits various attacking behavior, tracks the attack source, obtains evidence, and finds effective solutions.
This document describes the software requirements and specifications for building network intrusion detection and prevention systems using Snort and Iptables. It outlines the system requirements including the operating system, firewall, and servers needed. It then describes the key tools used - Snort for intrusion detection, BASE for analyzing Snort alerts, Wireshark for packet analysis, Iptables for firewall rules, and scripting for automation. Finally, it provides an overview of the web development tools used to create interfaces for managing rule sets.
This document summarizes packet sniffing in switched network environments. It discusses how tools like ARP spoofing can allow an attacker to intercept network traffic in a switched network by performing a man-in-the-middle attack. The document provides examples of using tools like dsniff and ScoopLM to sniff plaintext usernames and passwords in non-switched networks. It also explains how ARP spoofing works to redirect traffic to an attacker's machine in a switched network, enabling packet sniffing. Encryption is presented as the most effective defense against packet sniffing threats.
Snort is an open source network intrusion detection system that can perform real-time packet analysis, protocol analysis, and content searching/matching. It uses a rules-based approach to detect attacks and unauthorized intrusions. Snort has four main components - the packet sniffer, preprocessors, detection engine, and output. The sniffer captures network packets which are then preprocessed before being analyzed against rules in the detection engine. If a rule matches, alerts are output to various destinations like log files or databases. Snort can operate in different modes like sniffer, packet logger, or network IDS and uses signatures and rules to detect a variety of attacks and exploits.
REAL-TIME INTRUSION DETECTION SYSTEM FOR BIG DATAijp2p
The objective of the proposed system is to integrate the high volume of data along with the important
considerations like monitoring a wide array of heterogeneous security. When a real time cyber attack
occurred, the Intrusion Detection System automatically store the log in distributed environment and
monitor the log with existing intrusion dictionary. At the same time the system will check and categorize the
severity of the log to high, medium, and low respectively. After the categorization, the system will
automatically take necessary action against the user-unit with respect to the severity of the log. The
advantage of the system is that it utilize anomaly detection, evaluates data and issue alert message or
reports based on abnormal behaviour.
Network Intrusion Prevention by Configuring ACLs on the Routers, based on Sno...Disha Bedi
Base Paper presented by - Muhammad Naveed, Shams un Nihar and Mohammad Inayatullah Babar At 2010 6th International Conference on Emerging Technologies (ICET)
Wireshark is an open-source network protocol analyzer tool that can capture and analyze live network packets. It is used by network engineers to troubleshoot network performance issues and by security professionals for network forensics. The document discusses Wireshark's history and development, its modes of operation in Windows including graphical and command line interfaces, how to analyze captured packet data by observing packet colors and filters, and how Wireshark can be used to monitor networks and identify threats such as port scanning and malware downloads.
In this research work an Intrusion Detection System (IDS) and Intrusion Prevention System (IPS) will be implemented to detect and prevent critical networks infrastructure from cyber-attacks. To strengthen network security and improve the network's active defense intrusion detection capabilities, this project will consist of intrusion detection system using honey token based encrypted pointers and intrusion prevention system which based on the mixed interactive honeypot. The Intrusion Detection System (IDS) is based on the novel approach of Honey Token based Encrypted Pointers. This honey token inside the frame will serve as a trap for the attacker. All nodes operating within the working domain of critical infrastructure network are divided into four different pools. This division is based per their computational power and level of vulnerability. These pools are provided with different levels of security measures within the network. IDS use different number of Honey Tokens (HT) per frame for every different pool e.g. Pool-A contains 4 HT/frame, Pool-B contains 3 HT/frame, Pool-C contains 2 HT/frame and Pool-D contain 1 HT/frame. Moreover, every pool uses different types of encryption schemes (AES-128,192,256). Our critical infrastructure network of 64 nodes is under the umbrella of unified security provided by this single Network Intrusion Detection System (NIDS). After the design phase of IDS, we analyze the performance of IDS in terms of True Positives (TP) and False Negatives (FN). Finally, we test these IDS through Network Penetration Testing (NPT) phase. The detection rate depends on the number of honey tokens per frame. Our proposed IDS are a scalable solution and it can be implemented for any number of nodes in critical infrastructure network. However, in case of Intrusion Prevention System (IPS) we use Virtual honeypot technology which is the best active prevention technology among all honeypot technologies. By using the original operating system and virtual technology, the honeypot lures attackers in a pre-arranged manner, analyzes and audits various attacking behavior, tracks the attack source, obtains evidence, and finds effective solutions.
This document describes the software requirements and specifications for building network intrusion detection and prevention systems using Snort and Iptables. It outlines the system requirements including the operating system, firewall, and servers needed. It then describes the key tools used - Snort for intrusion detection, BASE for analyzing Snort alerts, Wireshark for packet analysis, Iptables for firewall rules, and scripting for automation. Finally, it provides an overview of the web development tools used to create interfaces for managing rule sets.
This document summarizes packet sniffing in switched network environments. It discusses how tools like ARP spoofing can allow an attacker to intercept network traffic in a switched network by performing a man-in-the-middle attack. The document provides examples of using tools like dsniff and ScoopLM to sniff plaintext usernames and passwords in non-switched networks. It also explains how ARP spoofing works to redirect traffic to an attacker's machine in a switched network, enabling packet sniffing. Encryption is presented as the most effective defense against packet sniffing threats.
Snort is an open source network intrusion detection system that can perform real-time packet analysis, protocol analysis, and content searching/matching. It uses a rules-based approach to detect attacks and unauthorized intrusions. Snort has four main components - the packet sniffer, preprocessors, detection engine, and output. The sniffer captures network packets which are then preprocessed before being analyzed against rules in the detection engine. If a rule matches, alerts are output to various destinations like log files or databases. Snort can operate in different modes like sniffer, packet logger, or network IDS and uses signatures and rules to detect a variety of attacks and exploits.
REAL-TIME INTRUSION DETECTION SYSTEM FOR BIG DATAijp2p
The objective of the proposed system is to integrate the high volume of data along with the important
considerations like monitoring a wide array of heterogeneous security. When a real time cyber attack
occurred, the Intrusion Detection System automatically store the log in distributed environment and
monitor the log with existing intrusion dictionary. At the same time the system will check and categorize the
severity of the log to high, medium, and low respectively. After the categorization, the system will
automatically take necessary action against the user-unit with respect to the severity of the log. The
advantage of the system is that it utilize anomaly detection, evaluates data and issue alert message or
reports based on abnormal behaviour.
Wireless Security Needs For Enterprisesshrutisreddy
This document discusses improving wireless security for enterprise/corporate users compared to home users. It analyzes security threats like encryption attacks and outlines techniques like WEP, WPA, and WPA2. The key points are:
1) Wireless networks are vulnerable to attacks using tools like AirSnort but techniques like WPA2 with AES encryption provide stronger security.
2) Corporate networks require robust security as they contain sensitive customer data, while basic techniques like WEP may suffice for home networks.
3) The document recommends home users enable security settings and use WPA-PSK encryption to protect their wireless networks.
Presentation of "Anonymity in the web based on routing protocols" technical report developed for the Web Security course of the Master Degree in Engineering in Computer Science curriculum in Cyber Security at University of Rome "La Sapienza".
Link: https://www.slideshare.net/BiagioBotticelli/anonymity-in-the-web-based-on-routing-protocols
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.
Layered Approach for Preprocessing of Data in Intrusion Prevention SystemsEditor IJCATR
Due to extensive growth of the Internet and increasing availability of tools and methods for intruding and attacking
networks, intrusion detection has become a critical component of network security parameters. TCP/IP protocol suite is the defacto
standard for communication on the Internet. The underlying vulnerabilities in the protocols is the root cause of intrusions. Therefor
Intrusion detection system becomes an important element in network security that controls real time data and leads to huge
dimensional problem. Processing large number of packets and data in real time is very difficult and costly. Therefor data preprocessing
is necessary to remove redundant and unwanted information from packets and clean network data. Here, we are focusing on
two important aspects of intrusion detection; one is accuracy and other is performance. The layered approach of TCP/IP model can be
applied to packet pre-processing to achieve early and faster intrusion detection. Motivation for the paper comes from the large impact
data preprocessing has on the accuracy and capability of anomaly-based NIPS. In this paper it is demonstrated that high attack
detection accuracy can be achieved by using layered approach for data preprocessing in Internet. To reduce false positive rate and to
increase efficiency of detection, the paper proposed framework for preprocessing in intrusion prevention system. We experimented
with real time network traffic as well as he KDDcup99 dataset for our research.
This document discusses the Address Resolution Protocol (ARP) and its use in intrusion detection systems. It proposes a standardized 64-byte ARP protocol structure to more easily capture ARP packets from a network. The structure includes fields for frame information, destination and source addresses, ARP type details, and sender/target MAC and IP addresses. This standardized structure could be integrated into network monitoring to help detect intrusions without affecting normal data transfer processes. Overall, the document aims to optimize the ARP sequence for use in intrusion detection systems.
Detecting and Preventing Attacks Using Network Intrusion Detection SystemsCSCJournals
Intrusion detection is an important technology in business sector as well as an active area of research. It is an important tool for information security. A Network Intrusion Detection System is used to monitor networks for attacks or intrusions and report these intrusions to the administrator in order to take evasive action. Today computers are part of networked; distributed systems that may span multiple buildings sometimes located thousands of miles apart. The network of such a system is a pathway for communication between the computers in the distributed system. The network is also a pathway for intrusion. This system is designed to detect and combat some common attacks on network systems. It follows the signature based IDs methodology for ascertaining attacks. A signature based IDS will monitor packets on the network and compare them against a database of signatures or attributes from known malicious threats. It has been implemented in VC++. In this system the attack log displays the list of attacks to the administrator for evasive action. This system works as an alert device in the event of attacks directed towards an entire network.
Seminar Report - Network Intrusion Prevention by Configuring ACLs on the Rout...Disha Bedi
Base Paper presented by - Muhammad Naveed, Shams un Nihar and Mohammad Inayatullah Babar At 2010 6th International Conference on Emerging Technologies (ICET)
In this research work an Intrusion Detection System (IDS) and Intrusion Prevention System (IPS) will be implemented to detect and prevent critical networks infrastructure from cyber-attacks. To strengthen network security and improve the network's active defense intrusion detection capabilities, this project will consist of intrusion detection system using honey token based encrypted pointers and intrusion prevention system which based on the mixed interactive honeypot. The Intrusion Detection System (IDS) is based on the novel approach of Honey Token based Encrypted Pointers.
Network traffic analysis with cyber securityKAMALI PRIYA P
We are students from SRM University pursuing B.TECH in Computer Science Department. We took a small initiative to make a PPT about how network traffic can be analyzed through Cyber Security. We have also mentioned the known network analyzers and future scope for network traffic analysis with cyber security.
An analysis of Network Intrusion Detection System using SNORTijsrd.com
This paper describes the analysis of signature based intrusion detection systems. Snort which is a signature based intrusion detection system are used for this purpose. We use DARPA dataset for the evaluation of Intrusion detection system.
DEPLOYMENT OF INTRUSION PREVENTION SYSTEM ON MULTI-CORE PROCESSOR BASED SECUR...IJCNCJournal
After tightening up network perimeter for dealing with external threats, organizations have woken up to the
threats from inside Local Area Networks (LAN) over the past several years. It is thus important to design
and implement LAN security strategies in order to secure assets on LAN by filtering traffic and thereby
protecting them from malicious access and insider attacks. Banking Financial Services and Insurance
(BFSI) industry is one such segment that faces increased risks and security challenges. The typical
architecture of this segment includes several thousands of users connecting from various branches over
Wide Area Network (WAN) links crossing national and international boundaries with varying network
speed to access data center resources. The objective of this work is to deploy LAN security solution to
protect the data center located at headquarters from the end user machines. A LAN security solution should
ideally provide Network Access Control (NAC) along with cleaning (securing) the traffic going through it.
Traffic cleaning itself includes various features like firewall, intrusion detection/prevention, traffic anomaly
detection, validation of asset ownership etc. LANenforcer (LE) is a device deployed in front of the data
center such that the traffic from end-user machines necessarily passes through it so that it can enforce
security. The goal of this system is to enhance the security features of a LANenforcer security system with
Intrusion Prevention System (IPS) to enable it to detect and prevent malicious network activities. IPS is
plugged into the packet path based on the configuration in such a way that the entire traffic passes through
the IPS on LE.
Packet sniffing tools like Ethereal and Snort can be used to intercept network traffic for diagnostic or malicious purposes. Sniffing tools capture packets in either command line or GUI format and some can reassemble packets into original data like emails. Sniffing can reveal usernames, passwords, and other confidential information unless encryption is used. Common sniffing techniques include passive sniffing using hubs, active sniffing using ARP spoofing on switches, and MAC flooding to force switch traffic to a sniffer. Encryption renders captured data useless, while detection tools can find machines in promiscuous sniffing mode.
A firewall is a network security device that monitors incoming and outgoing network traffic and decides whether to allow or block specific traffic based on a defined set of security rules.
Firewalls have been the first line of defense in network security for over 25 years. They establish a barrier between secured and controlled internal networks that can be trusted and untrusted outside networks, such as the Internet.
A firewall can be hardware, software, or both.
Network Attack and Intrusion Prevention System Deris Stiawan
(1) The document discusses network attack and intrusion prevention systems. It describes how intrusion prevention systems (IPS) aim to detect and block threats in online traffic in real-time, beyond just detecting threats like intrusion detection systems (IDS).
(2) Feature extraction from network traffic is important for IPS to analyze without being overwhelmed by raw data. The document examines relevant features to monitor and criteria for deciding what is important to track.
(3) Experimental testing is needed to evaluate IPS performance. The document outlines stages for training systems, testing methodsologies, and resuming test results. This helps IPS avoid unexpected outcomes and ensures continuous monitoring.
Using Genetic algorithm for Network Intrusion DetectionSagar Uday Kumar
This document summarizes a seminar presentation on using genetic algorithms for network intrusion detection. It introduces network intrusion detection systems and genetic algorithms. It discusses problems addressed like security threats, challenges like new attack types, and the scope of applying genetic algorithms to intrusion detection. It reviews related literature and detection techniques. It outlines the proposed system architecture, which would generate a random rule population, evaluate it using a fitness function, and use genetic operators like selection, crossover and mutation to optimize the rule set over generations.
The document summarizes a seminar report on packet sniffing submitted by four students. It discusses different packet sniffing methods like IP-based, MAC-based, and ARP-based sniffing. It also explains how Anti-Sniff tries to detect these sniffing programs using MAC address detection and DNS detection methods. The report analyzes how packet sniffers work on both shared and switched Ethernet networks and their various uses for both network troubleshooting and unauthorized access purposes. Common sniffing tools like tcpdump, sniffit, and ethereal are also mentioned.
A firewall manages secure network traffic flow between trusted and untrusted networks. It monitors traffic and acts as a barrier. Firewalls differ from antivirus software which protects against internal threats rather than external network attacks. Firewall types include packet filtering, stateful inspection, proxy, and next generation firewalls. A firewall's functions are to securely allow authorized network traffic while restricting unauthorized access and monitoring all network activity.
SECURE ADHOC ROUTING PROTOCOL FOR PRIVACY RESERVATIONEditor IJMTER
Privacy preserving routing is crucial for some Ad hoc networks that require
stronger privacy protection. A number of schemes have been proposed to protect privacy in
Ad hoc networks. However, none of these schemes offer unobservability property since data
packets and control packets are still linkable and distinguishable in these schemes. In this
paper, we define stronger privacy requirements regarding privacy preserving routing in
mobile ad hoc networks. Then we propose an Unobservable Secure Routing scheme (USOR)
to offer complete unlinkability and content unobservability for all types of packets. USOR is
efficient as it uses a novel combination of group signature and ID-based encryption for route
discovery. Security analysis demonstrates that USOR can well protect user privacy against
both inside and outside attackers. We implement USOR on Network Security (NS2), and
evaluate its performance by comparing with Ad Hoc On demand Distance Vector Routing
(AODV) and MASK. The simulation results show that USOR not only has satisfactory
performance compared to AODV, but also achieves stronger privacy protection than existing
schemes like Mask.
This document discusses intrusion detection and the technology of Snort. It defines intrusion detection as discovering unauthorized network or computer activities. Intrusion detection aims to detect violations of confidentiality, integrity, and availability. Snort is introduced as an open-source network intrusion detection system that analyzes network traffic and compares it to configurable rules to detect suspicious patterns. Snort runs on both UNIX and Windows platforms and has a small system footprint, making it a lightweight intrusion detection option.
This document discusses common tools used for network reconnaissance, including Wireshark, NetWitness Investigator, OpenVAS, FileZilla, PuTTY, and Zenmap. Wireshark is used to capture network packet data, which is then analyzed by NetWitness Investigator. OpenVAS scans networks remotely for vulnerabilities. FileZilla and PuTTY transfer files securely. Zenmap performs detailed scans to reveal network information, programs, and firewall configurations. Fisheye bubble charts can visually display network activity and relationships between devices. Identifying these tools is important for security experts to understand networks and protect against cyberattacks.
The project entitled with “Network Security System” is related to hacking attacks in computer systems over internet. In today’s world many of the computer systems and servers are not secure because of increasing the hacking attacks or hackers with growing information, so information security specialist’s requirement has gone high.
Wireless Security Needs For Enterprisesshrutisreddy
This document discusses improving wireless security for enterprise/corporate users compared to home users. It analyzes security threats like encryption attacks and outlines techniques like WEP, WPA, and WPA2. The key points are:
1) Wireless networks are vulnerable to attacks using tools like AirSnort but techniques like WPA2 with AES encryption provide stronger security.
2) Corporate networks require robust security as they contain sensitive customer data, while basic techniques like WEP may suffice for home networks.
3) The document recommends home users enable security settings and use WPA-PSK encryption to protect their wireless networks.
Presentation of "Anonymity in the web based on routing protocols" technical report developed for the Web Security course of the Master Degree in Engineering in Computer Science curriculum in Cyber Security at University of Rome "La Sapienza".
Link: https://www.slideshare.net/BiagioBotticelli/anonymity-in-the-web-based-on-routing-protocols
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.
Layered Approach for Preprocessing of Data in Intrusion Prevention SystemsEditor IJCATR
Due to extensive growth of the Internet and increasing availability of tools and methods for intruding and attacking
networks, intrusion detection has become a critical component of network security parameters. TCP/IP protocol suite is the defacto
standard for communication on the Internet. The underlying vulnerabilities in the protocols is the root cause of intrusions. Therefor
Intrusion detection system becomes an important element in network security that controls real time data and leads to huge
dimensional problem. Processing large number of packets and data in real time is very difficult and costly. Therefor data preprocessing
is necessary to remove redundant and unwanted information from packets and clean network data. Here, we are focusing on
two important aspects of intrusion detection; one is accuracy and other is performance. The layered approach of TCP/IP model can be
applied to packet pre-processing to achieve early and faster intrusion detection. Motivation for the paper comes from the large impact
data preprocessing has on the accuracy and capability of anomaly-based NIPS. In this paper it is demonstrated that high attack
detection accuracy can be achieved by using layered approach for data preprocessing in Internet. To reduce false positive rate and to
increase efficiency of detection, the paper proposed framework for preprocessing in intrusion prevention system. We experimented
with real time network traffic as well as he KDDcup99 dataset for our research.
This document discusses the Address Resolution Protocol (ARP) and its use in intrusion detection systems. It proposes a standardized 64-byte ARP protocol structure to more easily capture ARP packets from a network. The structure includes fields for frame information, destination and source addresses, ARP type details, and sender/target MAC and IP addresses. This standardized structure could be integrated into network monitoring to help detect intrusions without affecting normal data transfer processes. Overall, the document aims to optimize the ARP sequence for use in intrusion detection systems.
Detecting and Preventing Attacks Using Network Intrusion Detection SystemsCSCJournals
Intrusion detection is an important technology in business sector as well as an active area of research. It is an important tool for information security. A Network Intrusion Detection System is used to monitor networks for attacks or intrusions and report these intrusions to the administrator in order to take evasive action. Today computers are part of networked; distributed systems that may span multiple buildings sometimes located thousands of miles apart. The network of such a system is a pathway for communication between the computers in the distributed system. The network is also a pathway for intrusion. This system is designed to detect and combat some common attacks on network systems. It follows the signature based IDs methodology for ascertaining attacks. A signature based IDS will monitor packets on the network and compare them against a database of signatures or attributes from known malicious threats. It has been implemented in VC++. In this system the attack log displays the list of attacks to the administrator for evasive action. This system works as an alert device in the event of attacks directed towards an entire network.
Seminar Report - Network Intrusion Prevention by Configuring ACLs on the Rout...Disha Bedi
Base Paper presented by - Muhammad Naveed, Shams un Nihar and Mohammad Inayatullah Babar At 2010 6th International Conference on Emerging Technologies (ICET)
In this research work an Intrusion Detection System (IDS) and Intrusion Prevention System (IPS) will be implemented to detect and prevent critical networks infrastructure from cyber-attacks. To strengthen network security and improve the network's active defense intrusion detection capabilities, this project will consist of intrusion detection system using honey token based encrypted pointers and intrusion prevention system which based on the mixed interactive honeypot. The Intrusion Detection System (IDS) is based on the novel approach of Honey Token based Encrypted Pointers.
Network traffic analysis with cyber securityKAMALI PRIYA P
We are students from SRM University pursuing B.TECH in Computer Science Department. We took a small initiative to make a PPT about how network traffic can be analyzed through Cyber Security. We have also mentioned the known network analyzers and future scope for network traffic analysis with cyber security.
An analysis of Network Intrusion Detection System using SNORTijsrd.com
This paper describes the analysis of signature based intrusion detection systems. Snort which is a signature based intrusion detection system are used for this purpose. We use DARPA dataset for the evaluation of Intrusion detection system.
DEPLOYMENT OF INTRUSION PREVENTION SYSTEM ON MULTI-CORE PROCESSOR BASED SECUR...IJCNCJournal
After tightening up network perimeter for dealing with external threats, organizations have woken up to the
threats from inside Local Area Networks (LAN) over the past several years. It is thus important to design
and implement LAN security strategies in order to secure assets on LAN by filtering traffic and thereby
protecting them from malicious access and insider attacks. Banking Financial Services and Insurance
(BFSI) industry is one such segment that faces increased risks and security challenges. The typical
architecture of this segment includes several thousands of users connecting from various branches over
Wide Area Network (WAN) links crossing national and international boundaries with varying network
speed to access data center resources. The objective of this work is to deploy LAN security solution to
protect the data center located at headquarters from the end user machines. A LAN security solution should
ideally provide Network Access Control (NAC) along with cleaning (securing) the traffic going through it.
Traffic cleaning itself includes various features like firewall, intrusion detection/prevention, traffic anomaly
detection, validation of asset ownership etc. LANenforcer (LE) is a device deployed in front of the data
center such that the traffic from end-user machines necessarily passes through it so that it can enforce
security. The goal of this system is to enhance the security features of a LANenforcer security system with
Intrusion Prevention System (IPS) to enable it to detect and prevent malicious network activities. IPS is
plugged into the packet path based on the configuration in such a way that the entire traffic passes through
the IPS on LE.
Packet sniffing tools like Ethereal and Snort can be used to intercept network traffic for diagnostic or malicious purposes. Sniffing tools capture packets in either command line or GUI format and some can reassemble packets into original data like emails. Sniffing can reveal usernames, passwords, and other confidential information unless encryption is used. Common sniffing techniques include passive sniffing using hubs, active sniffing using ARP spoofing on switches, and MAC flooding to force switch traffic to a sniffer. Encryption renders captured data useless, while detection tools can find machines in promiscuous sniffing mode.
A firewall is a network security device that monitors incoming and outgoing network traffic and decides whether to allow or block specific traffic based on a defined set of security rules.
Firewalls have been the first line of defense in network security for over 25 years. They establish a barrier between secured and controlled internal networks that can be trusted and untrusted outside networks, such as the Internet.
A firewall can be hardware, software, or both.
Network Attack and Intrusion Prevention System Deris Stiawan
(1) The document discusses network attack and intrusion prevention systems. It describes how intrusion prevention systems (IPS) aim to detect and block threats in online traffic in real-time, beyond just detecting threats like intrusion detection systems (IDS).
(2) Feature extraction from network traffic is important for IPS to analyze without being overwhelmed by raw data. The document examines relevant features to monitor and criteria for deciding what is important to track.
(3) Experimental testing is needed to evaluate IPS performance. The document outlines stages for training systems, testing methodsologies, and resuming test results. This helps IPS avoid unexpected outcomes and ensures continuous monitoring.
Using Genetic algorithm for Network Intrusion DetectionSagar Uday Kumar
This document summarizes a seminar presentation on using genetic algorithms for network intrusion detection. It introduces network intrusion detection systems and genetic algorithms. It discusses problems addressed like security threats, challenges like new attack types, and the scope of applying genetic algorithms to intrusion detection. It reviews related literature and detection techniques. It outlines the proposed system architecture, which would generate a random rule population, evaluate it using a fitness function, and use genetic operators like selection, crossover and mutation to optimize the rule set over generations.
The document summarizes a seminar report on packet sniffing submitted by four students. It discusses different packet sniffing methods like IP-based, MAC-based, and ARP-based sniffing. It also explains how Anti-Sniff tries to detect these sniffing programs using MAC address detection and DNS detection methods. The report analyzes how packet sniffers work on both shared and switched Ethernet networks and their various uses for both network troubleshooting and unauthorized access purposes. Common sniffing tools like tcpdump, sniffit, and ethereal are also mentioned.
A firewall manages secure network traffic flow between trusted and untrusted networks. It monitors traffic and acts as a barrier. Firewalls differ from antivirus software which protects against internal threats rather than external network attacks. Firewall types include packet filtering, stateful inspection, proxy, and next generation firewalls. A firewall's functions are to securely allow authorized network traffic while restricting unauthorized access and monitoring all network activity.
SECURE ADHOC ROUTING PROTOCOL FOR PRIVACY RESERVATIONEditor IJMTER
Privacy preserving routing is crucial for some Ad hoc networks that require
stronger privacy protection. A number of schemes have been proposed to protect privacy in
Ad hoc networks. However, none of these schemes offer unobservability property since data
packets and control packets are still linkable and distinguishable in these schemes. In this
paper, we define stronger privacy requirements regarding privacy preserving routing in
mobile ad hoc networks. Then we propose an Unobservable Secure Routing scheme (USOR)
to offer complete unlinkability and content unobservability for all types of packets. USOR is
efficient as it uses a novel combination of group signature and ID-based encryption for route
discovery. Security analysis demonstrates that USOR can well protect user privacy against
both inside and outside attackers. We implement USOR on Network Security (NS2), and
evaluate its performance by comparing with Ad Hoc On demand Distance Vector Routing
(AODV) and MASK. The simulation results show that USOR not only has satisfactory
performance compared to AODV, but also achieves stronger privacy protection than existing
schemes like Mask.
This document discusses intrusion detection and the technology of Snort. It defines intrusion detection as discovering unauthorized network or computer activities. Intrusion detection aims to detect violations of confidentiality, integrity, and availability. Snort is introduced as an open-source network intrusion detection system that analyzes network traffic and compares it to configurable rules to detect suspicious patterns. Snort runs on both UNIX and Windows platforms and has a small system footprint, making it a lightweight intrusion detection option.
This document discusses common tools used for network reconnaissance, including Wireshark, NetWitness Investigator, OpenVAS, FileZilla, PuTTY, and Zenmap. Wireshark is used to capture network packet data, which is then analyzed by NetWitness Investigator. OpenVAS scans networks remotely for vulnerabilities. FileZilla and PuTTY transfer files securely. Zenmap performs detailed scans to reveal network information, programs, and firewall configurations. Fisheye bubble charts can visually display network activity and relationships between devices. Identifying these tools is important for security experts to understand networks and protect against cyberattacks.
The project entitled with “Network Security System” is related to hacking attacks in computer systems over internet. In today’s world many of the computer systems and servers are not secure because of increasing the hacking attacks or hackers with growing information, so information security specialist’s requirement has gone high.
This document summarizes the results of a 2006 survey of the top 100 network security tools. Nmap, Wireshark, and Snort were the top three tools according to respondents. The document provides a brief 1-3 sentence description of each of the top 30 tools based on the survey results.
This document summarizes the results of a survey of the top 100 network security tools. Nmap, a network scanner, conducted the survey through its mailing list. The top tools identified were Nessus (vulnerability scanner), Wireshark (network analyzer), Snort (intrusion detection), Netcat (network utility), Metasploit (exploitation framework), and others. Many of the top tools are open source and cross-platform.
The document discusses the Media Access Control (MAC) address, which is a unique identifier assigned to network interfaces for identification. MAC addresses are permanent and work at the data link layer, unlike IP addresses which can change and work at the network layer. MAC address spoofing involves changing the MAC address to hide a device's identity or bypass access control lists. Intrusion detection systems are also discussed as important tools to detect attacks on networks.
This document provides a summary of the top 18 security tools as voted on by over 3,000 respondents to a survey conducted by Insecure.org. The top tools included Nmap, Nessus, Wireshark, Snort, Netcat, Metasploit Framework, and others. For each tool, a brief 1-2 sentence description of its functionality is provided. The document shows that while many new tools have emerged, some older standards like tcpdump, SSH, and John the Ripper remain very popular.
Its is project based on one of the most interesting and wide topic of Computer Science, named Cyber Security
CONTENT :
1. What is Cyber Security
2. Why Cyber Security is Important
3. Brief History
4. Security Timeline
5. Architecture
6. Cyber Attack Methods
7. Technology for Cyber Secuirty
8. Development in Cyber Security
9. Future Trend in Cyber Security
The document discusses various topics related to network security including viruses, worms, standard system attacks, protection methods, encryption algorithms, firewalls, proxy servers, wireless security, and conclusions. It provides details on types of viruses and worms, common system attacks like exploiting vulnerabilities, spoofing, and stealing passwords. It also explains methods to secure networks like physical protection, access control, passwords, access rights, auditing, and different encryption techniques including AES, DES, and public key cryptography. Firewalls and proxy servers are discussed as network protection mechanisms and wireless security standards like WEP and WPA are covered.
It is for the new users those don't have much knowledge regarding IT Security. Here i focus on Windows In built firewall, Comodo, Zone Alarm and Out Post pro configuration basics.
A firewall filters network traffic between an organization's private network and the internet. It allows or blocks traffic based on predefined rules. A firewall includes components like packet filtering, NAT, stateful inspection. Benefits include protecting against threats like viruses, blocking unauthorized access, and hiding private network details.
This document provides an introduction to network security by explaining some foundational networking concepts. It defines what a network is, describes the ISO/OSI reference model for layered network communications, and gives overviews of popular early networks like UUCP and the Internet. It then focuses on TCP/IP, the core protocols that power the Internet. The document also discusses types of network threats like denial-of-service attacks and unauthorized access, as well as defenses like firewalls that create barriers between internal and external networks. It emphasizes that defining security policies is key to building a secure network.
Microsoft Network Monitor is a packet analyzer that allows users to capture, view, and analyze network traffic through support for over 300 protocols and simultaneous capture sessions. Nagios is a powerful network monitoring tool that helps ensure critical systems, applications, and services remain operational through features like alerting, event handling, and reporting. Angry IP Scanner is a standalone application that facilitates IP address and port scanning to obtain information about alive hosts on a network.
Network reconnaissance tools like Nmap and THC-Amap are used to discover hosts, services, and potential vulnerabilities on a computer network. Nmap sends custom packets to analyze responses and build a network map, while THC-Amap identifies applications listening on ports. Network sniffing tools such as Wireshark, TcpDump and WinDump capture and analyze packet-level traffic to locate network problems. Common sniffers also include Ettercap, Hping and Kismet. Injection interferes with network connections by constructing spoofed packets.
Analysis Of Internet Protocol ( IP ) DatagramsEmily Jones
Here are the key points about wireless sensor networks:
- WSN consist of small, low-cost sensors that can sense and monitor various environments and phenomena. They communicate wirelessly to form dense networks.
- The sensors have limited processing, storage and power capabilities. They must operate autonomously for long periods with small batteries or energy harvesting.
- WSN enable ubiquitous sensing and monitoring without being constrained by wires. They provide more flexibility in deployment compared to wired networks.
- Common applications of WSN include environmental/habitat monitoring, healthcare applications, home automation, traffic control, and industrial/machine monitoring.
- Key technical challenges in WSN include limited power/energy, dynamic network topology, fault tolerance
The document discusses Internet of Things (IoT) security challenges and countermeasures. It begins with basics of IoT and sensors, then discusses how IoT connects to the internet. It outlines several approaches to securing IoT, including restricted access, encryption of network and data, managing default APIs, addressing human elements of security, and learning from past exploits. Specific threats like denial of service attacks, man-in-the-middle attacks, and brute force/dictionary attacks are examined. The document concludes that IoT security design must enable open yet secure infrastructure while respecting user privacy through individual policies.
To secure a network, someone in the organization must know exactly where the network needs to be secured. Although this step may sound simple and obvious, many companies skip it. They install a perimeter firewall and then relax, lulled into a sense of security by this single layer of defense. To truly assess the risks within a computing environment, you must deploy technical controls using a strategy of defense in depth, which is likely to include IDPSs, active vulnerability scanners, passive vulnerability scanners, automated log analyzers, and protocol analyzers (commonly referred to as sniffers).
Session hijacking occurs when a session token is sent to a client browser from the Web server following the successful authentication of a client logon. A session hijacking attack works when it compromises the token by either confiscating or guessing what an authentic token session will be, thus acquiring unauthorized access to the Web server. This can result in session sniffing, man-in-the-middle or man-in-the-browser attacks, Trojans, or even implementation of malicious JavaScript codes.
Web developers are especially wary of session hijacking because the HTTP cookies that are used to sustain a website session can be bootlegged by an attacker.
A CASE STUDY ON VARIOUS NETWORK SECURITY TOOLSKatie Robinson
Network security tools play an important role in cybersecurity. The document discusses various network security tools including vulnerability scanners like Nessus, packet sniffers like Wireshark, password crackers like John the Ripper, honeypots, and wireless security tools like NetStumbler. It provides an overview of the most popular tools, how they work, and what features they provide to enhance network security through activities like vulnerability detection, packet analysis, password cracking, and monitoring of network traffic. The top five tools discussed are Wireshark, Nessus, Snort, John the Ripper, and NetStumbler.
A Presentation by:
REMMY NWEKE, 2016 Fellow, Cyber Security Policy Defender
Secretary, Cyber Security Experts Association of Nigeria (CSEAN)
Lagos Branch
To mark the Cyber Security Awareness Campaign,
October 2016
Access control lists (ACLs) determine which devices can access routers based on IP address. ACLs can filter packets based on port numbers and are configured for inbound or outbound traffic. Standard ACLs filter based on source IP, while extended ACLs can filter based on additional attributes like protocol, ports, and IP addresses. Virtual private networks (VPNs) use protocols like IPSec and SSL with authentication methods such as certificates to securely transmit data over unsecured networks.
Physical appearance of the prophet muhammed pbuhWail Hassan
It is impossible to accurately describe actual beauty and elegance of Our Messanger PBUH .
To draw a pen-picture of his appearance is beyond one's capability, but the Sahabah RA have endeavored, according to their
capabilities, to preserve what little they could, of which some is written here.
A complete authoritative book on the life of Prophet Muhammad (S) by Sheikh Safi-ur-Rahman al-Mubarkpuri. The Sealed Nector was honoured by the World Muslim League as first prize winner book. Whoever wants to know the whole life style of the Prophet in detail must read this book.
Muhammad (peace be upon him) is the Messenger of Allah, and those who are with him, are severe against the disbelievers, and merciful among themselves. You see them bowing and falling down prostrate (in prayer), seeking bounty from Allah and (His) Good Pleasure. The mark of them (i.e. of their Faith) is on their faces (fore heads) from the traces of prostration (during prayers). This is their description in the Taurah (Torah). But their description in the Injeel (Gospel) is like a (sown) seed which sends forth its shoot, then makes it strong, and becomes thick and it stands straight on its stem, delighting the sowers, that He may enrage the disbelievers with them. Allah has promised those among them who believe and do righteous good deeds, forgiveness and a mighty reward (Paradise). (Al-Fath: 29)
The Prophet Muhammad (S) said: "The example of guidance and knowledge with which Allah has sent me is like abundant rain falling on the earth. Some of which was fertile soil that absorbed rain-water and brought forth vegetation and grass in abundance. (And) another portion of it was hard and held the rain-water and Allah benefited the people with it and they utilized it for drinking (making their animals drink from it) and to irrigate the land for cultivation. (And) a portion of it was barren which could neither hold the water nor bring forth vegetation (then that land gave no benefits). The first is the example of the person who comprehends Allah's Religion (Islam) and gets benefit (from the knowledge) which Allah (Azawajal) has revealed through me (the Prophet) and learns and then teaches it to others. The (last example is that of a) person who does not care for it and does not take Allah's Guidance revealed through me (he is like that barren land)." (Al-Mukarramah)
Cryptography is the art of converting text into another form for secret transmission and reception. It works by converting plain text into cipher text using some encryption algorithm at the sender’s side and converting ciphertext into plain text at the receiver’s. Cryptography is used to provide confidentiality, integrity, authenticity and non-repudiation.
buffer overflow occurs when a program or process attempts to write more data to a fixed length block of memory, or buffer, than the buffer is allocated to hold. ... Exploiting a buffer overflow allows an attacker to control or crash the process or to modify its internal variables
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.
This document discusses hacking Linux systems. It covers why Linux is a popular target, how to compile programs in Linux through configuring, compiling, and installing. It also discusses scanning networks to find potential entry points by port scanning with tools like Nmap, mapping networks to better understand a target system's structure, password cracking techniques in Linux like SARA and TARA, sniffing packets, hijacking sessions, hiding with rootkits, and configuring firewalls with IPTables. The goal is to familiarize the reader with techniques for hacking but also defending Linux systems.
The document discusses security concerns related to hacking Novell Netware networks. It covers common default accounts and passwords in Netware that can be exploited, such as the supervisor account. It also describes various password cracking and hacking tools that can be used to attack Netware systems, such as password crackers, and tools to access password files, spoof logs, and conduct denial of service attacks. Finally, it discusses recommended practices for hardening Netware server settings to help prevent attacks.
A virus is a self-replicating program that produces its own copy by attaching itself to another program, computer boot sector or document.
It infects other programs,
Alters Data
Transforms itself
Encrypts Itself
Corrupt files and Programs
Self Propagates
Wireless networks are accessible to anyone within the router’s transmission radius. This makes them vulnerable to attacks. Hotspots are available in public places such as airports, restaurants, parks, etc.
In this module, we will introduce you to common techniques used to exploit weaknesses in wireless network security implementations. We will also look at some of the countermeasures you can put in place to protect against such attacks.
SQL injection is a type of security exploit in which the attacker adds Structured Query Language (SQL) code to a Web form input box to gain access to resources or make changes to data. An SQL query is a request for some action to be performed on a database. Typically, on a Web form for user authentication, when a user enters their name and password into the text boxes provided for them, those values are inserted into a SELECT query. If the values entered are found as expected, the user is allowed access; if they aren't found, access is denied. However, most Web forms have no mechanisms in place to block input other than names and passwords. Unless such precautions are taken, an attacker can use the input boxes to send their own request to the database, which could allow them to download the entire database or interact with it in other illicit ways.
Module 13 (web based password cracking techniques)Wail Hassan
Password cracking doesn't have to involve fancy tools, but it's a fairly tedious process. If the target doesn't lock you out after a specific number of tries, you can spend an infinite amount of time trying every combination of alphanumeric characters. It's just a question of time and bandwidth before you break into a system.
The most common passwords found are password, root, administrator, admin, operator, demo, test, webmaster, backup, guest, trial, member, private, beta, [company_name] or [known_username].
Web application vulnerabilities involve a system flaw or weakness in a web-based application. They have been around for years, largely due to not validating or sanitizing form inputs, misconfigured web servers, and application design flaws, and they can be exploited to compromise the application's security.
A web server, which can be referred to as the hardware, the computer, or the software, is the computer application that helps to deliver content that can be accessed through the Internet. Most people think a web server is just the hardware computer, but a web server is also the software computer application that is installed in the hardware computer. The primary function of a web server is to deliver web pages on the request to clients using the Hypertext Transfer Protocol (HTTP).
Social engineering is an attack vector that relies heavily on human interaction and often involves manipulating people into breaking normal security procedures and best practices in order to gain access to systems, networks or physical locations, or for financial gain.
A Denial-of-Service (DoS) attack is an attack meant to shut down a machine or network, making it inaccessible to its intended users. DoS attacks accomplish this by flooding the target with traffic, or sending it information that triggers a crash. In both instances, the DoS attack deprives legitimate users (i.e. employees, members, or account holders) of the service or resource they expected.
Victims of DoS attacks often target web servers of high-profile organizations such as banking, commerce, and media companies, or government and trade organizations
Trojans are non-replication programs; they don’t reproduce their own codes by attaching themselves to other executable codes. They operate without the permissions or knowledge of the computer users.
Trojans hide themselves in healthy processes. However we should underline that Trojans infect outside machines only with the assistance of a computer user, like clicking a file that comes attached with email from an unknown person, plugging USB without scanning, opening unsafe URLs.
System hacking is the way hackers get access to individual computers on a network. ... This course explains the main methods of system hacking—password cracking, privilege escalation, spyware installation, and keylogging—and the countermeasures IT security professionals can take to fight these attacks.
Footprinting is a part of reconnaissance process which is used for gathering possible information about a target computer system or network. Footprinting could be both passive and active. Reviewing a company’s website is an example of passive footprinting, whereas attempting to gain access to sensitive information through social engineering is an example of active information gathering.
Footprinting is basically the first step where hacker gathers as much information as possible to find ways to intrude into a target system or at least decide what type of attacks will be more suitable for the target.
Footprinting is a part of reconnaissance process which is used for gathering possible information about a target computer system or network. Footprinting could be both passive and active. Reviewing a company’s website is an example of passive footprinting, whereas attempting to gain access to sensitive information through social engineering is an example of active information gathering.
Footprinting is basically the first step where hacker gathers as much information as possible to find ways to intrude into a target system or at least decide what type of attacks will be more suitable for the target.
Hacking is identifying weakness in computer systems or networks to exploit its weaknesses to gain access. Example of Hacking: Using password cracking algorithm to gain access to a system
Computers have become mandatory to run a successful businesses. It is not enough to have isolated computers systems; they need to be networked to facilitate communication with external businesses. This exposes them to the outside world and hacking. Hacking means using computers to commit fraudulent acts such as fraud, privacy invasion, stealing corporate/personal data, etc. Cyber crimes cost many organizations millions of dollars every year. Businesses need to protect themselves against such attacks.
20 Comprehensive Checklist of Designing and Developing a WebsitePixlogix Infotech
Dive into the world of Website Designing and Developing with Pixlogix! Looking to create a stunning online presence? Look no further! Our comprehensive checklist covers everything you need to know to craft a website that stands out. From user-friendly design to seamless functionality, we've got you covered. Don't miss out on this invaluable resource! Check out our checklist now at Pixlogix and start your journey towards a captivating online presence today.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
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
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program