This document summarizes a research paper that proposes a technique to detect IP spoofing attacks using router-based information. The technique scans incoming IP packets without cryptography to identify spoofed packets based on analyzing the route taken by each packet. IP spoofing is commonly used in denial of service attacks to conceal attacking sources. Existing host-based defenses are insufficient and filtering spoofed packets at the network layer is important to protect against DDoS attacks. The proposed technique aims to filter out bogus traffic with a low false positive rate by leveraging routing information analyzed during packet inspection.
This document presents a technique for tracking anonymous peer-to-peer VoIP calls on the Internet. The technique embeds a unique watermark into the timing of encrypted VoIP flows by slightly adjusting the timing of selected packets. This makes the timing characteristics of VoIP flows distinctive enough to identify correlations across anonymizing networks. The technique is evaluated using the Skype peer-to-peer VoIP client and the anonymous VPN service from findnot.com. Results show the technique can feasibly track anonymous calls and low latency anonymizing systems are susceptible to timing attacks.
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 techniques for remote operating system fingerprinting. It begins by explaining that remote OS fingerprinting is an important part of network surveying for attackers to determine the operating system of a remote host. It then describes how accurate remote OS fingerprinting can help attackers narrow down potential exploits to use. The document outlines the goals of an effective remote OS fingerprinting tool and discusses active vs. passive fingerprinting. It also briefly explains the roles of black hat and white hat hackers in relation to remote OS fingerprinting.
The document discusses techniques for detecting denial-of-service (DoS) attacks in Session Initiation Protocol (SIP)-based Voice over IP (VoIP) networks. It reviews several proposed detection mechanisms, including statistical detection using Hellinger's distance, a double-layered architecture using traffic scanning, and a distributed filtering mechanism. It also summarizes a mitigation mechanism that analyzes SIP messages and calls and a technique using entropy analysis to identify attacks. Overall, the document surveys different existing approaches for detecting DoS attacks that aim to disrupt availability in SIP-based VoIP networks.
The document discusses various topics related to network security:
1. It provides examples of social engineering techniques like pretending to be a network administrator to obtain passwords.
2. It defines denial of service attacks and lists features like flood attacks and SYN attacks that overwhelm the target with useless traffic.
3. It explains honeypots are traps that appear to contain valuable information but are actually isolated and monitored to detect unauthorized access attempts.
4. It also covers encryption methods like RSA and digital signatures, and distinguishes between biometrics and computer forensics techniques.
EFFICIENT DEFENSE SYSTEM FOR IP SPOOFING IN NETWORKScscpconf
In this age of gigabit Ethernet and broadband internet, network security has been the top
priority for most of the researchers. Technology advancements have advantages as well as
disadvantages. Most of the communication of present world, the e-world, takes place online,
through the internet. Thus the context of network intrusions and attacks to hack into servers also
came into existence. A technique to perform this activity is made possible by preventing the
discovery of the sender’s identity through IP Spoofing [7]. Many popular internet sites have
been hacked and attackers try to forge or spoof the source addresses in IP packets. Using
spoofing detection technique, the user can retrieve the list of IP addresses and able to identify
the malicious IP addresses.Hence mechanisms must be designed to prevent hacking. This paper
proposes a novel technique to detect IP spoofing based on traffic verification and filtering
This document presents a technique for tracking anonymous peer-to-peer VoIP calls on the Internet. The technique embeds a unique watermark into the timing of encrypted VoIP flows by slightly adjusting the timing of selected packets. This makes the timing characteristics of VoIP flows distinctive enough to identify correlations across anonymizing networks. The technique is evaluated using the Skype peer-to-peer VoIP client and the anonymous VPN service from findnot.com. Results show the technique can feasibly track anonymous calls and low latency anonymizing systems are susceptible to timing attacks.
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 techniques for remote operating system fingerprinting. It begins by explaining that remote OS fingerprinting is an important part of network surveying for attackers to determine the operating system of a remote host. It then describes how accurate remote OS fingerprinting can help attackers narrow down potential exploits to use. The document outlines the goals of an effective remote OS fingerprinting tool and discusses active vs. passive fingerprinting. It also briefly explains the roles of black hat and white hat hackers in relation to remote OS fingerprinting.
The document discusses techniques for detecting denial-of-service (DoS) attacks in Session Initiation Protocol (SIP)-based Voice over IP (VoIP) networks. It reviews several proposed detection mechanisms, including statistical detection using Hellinger's distance, a double-layered architecture using traffic scanning, and a distributed filtering mechanism. It also summarizes a mitigation mechanism that analyzes SIP messages and calls and a technique using entropy analysis to identify attacks. Overall, the document surveys different existing approaches for detecting DoS attacks that aim to disrupt availability in SIP-based VoIP networks.
The document discusses various topics related to network security:
1. It provides examples of social engineering techniques like pretending to be a network administrator to obtain passwords.
2. It defines denial of service attacks and lists features like flood attacks and SYN attacks that overwhelm the target with useless traffic.
3. It explains honeypots are traps that appear to contain valuable information but are actually isolated and monitored to detect unauthorized access attempts.
4. It also covers encryption methods like RSA and digital signatures, and distinguishes between biometrics and computer forensics techniques.
EFFICIENT DEFENSE SYSTEM FOR IP SPOOFING IN NETWORKScscpconf
In this age of gigabit Ethernet and broadband internet, network security has been the top
priority for most of the researchers. Technology advancements have advantages as well as
disadvantages. Most of the communication of present world, the e-world, takes place online,
through the internet. Thus the context of network intrusions and attacks to hack into servers also
came into existence. A technique to perform this activity is made possible by preventing the
discovery of the sender’s identity through IP Spoofing [7]. Many popular internet sites have
been hacked and attackers try to forge or spoof the source addresses in IP packets. Using
spoofing detection technique, the user can retrieve the list of IP addresses and able to identify
the malicious IP addresses.Hence mechanisms must be designed to prevent hacking. This paper
proposes a novel technique to detect IP spoofing based on traffic verification and filtering
Presentation of "State of the Art of IoT Honeypots" technical report developed for the Seminar in Advanced Topics in Computer Science 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/secret/EfL8YbinRZjDPS
Corporate provide access to intranet and internet with specific objectives. Intranet access is usually granted so that employees can avail telephone directory, human resource policies, support information and knowledge base. Extranet access is given to distribute information, improve existing information delivery techniques and support major strategic initiatives.
Using employee intranets arrives with its own set of benefits. It enhances employee productivity, saves cost and improves customer management improvements. However, companies can truly reap the benefits by syndication although it comes with certain caveats: syndication can be done in the following instances.
A Havoc Proof for Secure and Robust Audio WatermarkingCSCJournals
The audio watermarking involves the concealment of data within a discrete audio file. Audio watermarking technology affords an opportunity to generate copies of a recording which are perceived by listeners as identical to the original but which may differ from one another on the basis of the embedded information. A highly confidential audio watermarking scheme using multiple scrambling is presented Superior to other audio watermarking techniques, the proposed scheme is self-secured by integrating multiple scrambling operations into the embedding stage. To ensure that unauthorized detection without correct secret keys is nearly impossible, the watermark is encrypted by a coded-image; certain frames are randomly selected from the total frames of the audio signal for embedding and their order of coding is further randomized. Adaptive synchronization is improves the robustness against hazardous synchronization attacks, such as random samples cropping/inserting and pitch-invariant time stretching. The efficient watermarking schemes make it impossible to be detected and robust even though the watermarking algorithm is open to the public.
A Survey: DDOS Attack on Internet of ThingsIJERD Editor
Internet of Things refer as interconnection of smart object, included from small coffee machine to
big car, communicate with each other without human interactions also called as Device to Device
communications. In current emerging world, all of the devices become smarter and can communicate with other
devices as well. With this rapid development of Internet of Things in different area like smart home, smart
hospital etc. it also have to face some difficulty to securing overall privacy due to heterogeneity nature. There
are so many types of vulnerability but here in this paper we put concentration on Distributed Denial of Service
attack (DDoS). DoS is attack which can block the usage for authentic user and make network resource
unavailable, consume bandwidth; if similar attack is penetrated from different sources its call DDoS. To prevent
from such attack it need mechanism that can detect and prevent it from attack, but due to small devices it has
limited power capacity. So that mechanism must be implemented at network entrance. In this paper we discuss
different DDoS attack and its effect on IoT.
The document outlines objectives for day 1 of a training on network security and hacking techniques, including hardening Linux and Windows 2000 systems, analyzing software vulnerabilities and attacking techniques, and discussing elements of network security like confidentiality, integrity, availability, and models for access control. It also provides details on installation and configuration of Linux operating systems for network security.
Analytical Study on Network Security Breach’sijtsrd
Throughout the previous few years, Computer systems were principally utilized by association for correspondence between various divisions. Under these conditions security was not a significant concern and it didnt get part of consideration. Be that as it may, presently, there is an extraordinary effect of between organize job in every single residents life, from Banking – Hospitals Education Transportation and so forth. However, presently arrange has sprouted different security concerns. In any case, presently with the expanding utilization of Computer in everyday action there is a serious requirement for robotized devices for securing touchy information and data put away on the Computer. Especially for the situation for a mutual framework, for example, time sharing framework and where the need is significantly increasingly intense for frameworks that is available for an open phone or an information organize. The standard name for the assortment of devices to ensure information and to forestall Hackers is Computer Security . This proposition talk about and depicts spoofing , which is if an aggressor can tune in for a customers ask for and imitate an answer before the genuine location server can, at that point the customer will utilize the data gave by the hacker. This is known as spoofing. Siddiqui Sana Afreen "Analytical Study on Network Security Breach’s" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3 , April 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30403.pdf Paper Url :https://www.ijtsrd.com/computer-science/other/30403/analytical-study-on-network-security-breach%E2%80%99s/siddiqui-sana-afreen
This document discusses network hacking techniques. It describes ARP spoofing attacks, including generating spoofed ARP replies to redirect traffic. It also discusses sniffing attacks, session hijacking, and tools used for these attacks like Ettercap and Dsniff. Detection methods are outlined, though the document notes most older operating systems lacked detection. Hypothetical detection applications are proposed to track ARP entries and identify spoofing.
LATTICE STRUCTURAL ANALYSIS ON SNIFFING TO DENIAL OF SERVICE ATTACKSIJCNCJournal
Sniffing is one of the most prominent causes for most of the attacks in the digitized computing environment. Through various packet analyzers or sniffers available free of cost, the network packets can be captured and analyzed. The sensitive information of the victim like user credentials, passwords, a PIN which is of more considerable interest to the assailants’ can be stolen through sniffers. This is the primary reason for most of the variations of DDoS attacks in the network from a variety of its catalog of attacks. An effective and trusted framework for detecting and preventing these sniffing has greater significance in today’s computing. A counter hack method to avoid data theft is to encrypt sensitive information. This paper provides an analysis of the most prominent sniffing attacks. Moreover, this is one of the most important strides to guarantee system security. Also, a Lattice structure has been derived to prove that sniffing is the prominent activity for DoS or DDoS attacks.
Network security is important to protect systems from attacks. Firewalls act as the first line of defense, blocking unauthorized incoming and outgoing network traffic based on security rules. Different types of firewalls operate at different layers of the OSI model and provide varying levels of security. No single security measure can guarantee protection, so a defense-in-depth approach using firewalls along with other tools like intrusion detection systems is recommended.
International Journal of Computer Science and Security Volume (1) Issue (3)CSCJournals
The document discusses integrating VPN and IDS technologies to improve network security. It proposes configuring a VPN concentrator/firewall to encrypt traffic between remote clients and private networks. An IDS would be placed within the private network to monitor decrypted traffic. Rules would define the IDS monitoring encrypted VPN traffic and taking action on detected threats. The integration aims to address issues like switched and encrypted data evading traditional network IDS, while reducing false alarms through traffic correlation. Configuration rules specify interfaces, address pools, VPN/firewall settings, and IDS login to dynamically update firewall rules.
Yesterday Pierluigi Paganini, CISO Bit4Id and founder Security Affairs, presented at the ISACA Roma & OWASP Italy conference the state of the art for the Internet of Things paradigm. The presentation highlights the security and privacy issues for the Internet of Things, a technology that is changing user’s perception of the technology.
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.
This document discusses weaknesses in WPA/WPA2 authentication protocols for wireless networks and tools that can be used to exploit them. It begins with background on WEP, WPA, and WPA2 authentication. It then examines weaknesses such as using weak passwords that are vulnerable to cracking, and vulnerabilities in Wi-Fi Protected Setup (WPS) that allow attackers to recover the PIN. The document outlines the tools needed to exploit WPA, including a Linux-based operating system, a wireless network adapter supporting packet injection, and basic networking skills. It provides steps to use the tool Aircrack-ng to crack a WPA network by first putting the adapter in monitor mode, capturing packets, and cracking the password.
Dr. Arun Sood is a professor of computer science who has developed an approach called Self Cleansing Intrusion Tolerance (SCIT) to improve server security. SCIT works by converting static servers into dynamic servers that refresh regularly, reducing exposure time to malware while maintaining service. His research aims to limit losses from successful attacks by restoring servers to a pristine state frequently. SCIT has been implemented to refresh servers every minute, limiting the time for malware to cause damage.
The Internet of Things (IoT) is thriving network of smart objects where one physical object can exchange information with another physical object. In today’s Internet of Things (IoT) the interest is the concealment and security of data in a network. The obtrusion into Internet of Things (IoT) exposes the extent with which the internet of things is vulnerable to attacks and how such attack can be detected to prevent extreme damage. It emphasises on threats, vulnerability, attacks and possible methods of detecting intruders to stop the system from further destruction, this paper proposes a way out of the impending security situation of Internet of things using IPV6 Low -power wireless personal Area Network.
The document describes an intrusion detection system for cluster-based wireless sensor networks. It proposes using MAC address-based intruder tracking to detect intruders early. The system divides the network into clusters, with cluster heads monitoring members. It uses port numbers, IP addresses and MAC addresses to authenticate nodes and detect intruders pretending to be valid nodes. If intruder behavior is detected, an alarm is raised. The approach aims to securely transmit data in the network by identifying and preventing malicious intrusions and attacks.
The intention behind writing this paper on this subject is to anticipate IT students or novice in the field of data communication and network security about spoofing attacks, how vulnerable and the prevention from the attacks. Nowadays, several malicious attacks and contents are found on the internet. So, to overcome the probability of risk, it is must be implemented to prevent the end user from these. IP address spoofing is basically a technique to alter spoof the packets of original source address in the header section intended to compromise or retrieve sensitive information from another trusted host or a machine. The meaning of spoofing is to provide the false information, in the area network security and it comprises of many types which includes IP ADDRESS SPOOFING E MAIL SPOOFING WEB SPOOFING ARP ADDRESS RESOLUTION PROTOCOL SPOOFING Mr. Satish Bharadwaj | Prof. Abhijit Desai "IP Spoofing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-6 , October 2020, URL: https://www.ijtsrd.com/papers/ijtsrd33246.pdf Paper Url: https://www.ijtsrd.com/computer-science/computer-security/33246/ip-spoofing/mr-satish-bharadwaj
The document discusses analyzing the password generating algorithms used in wireless routers commonly deployed in the Netherlands. The authors were able to reverse engineer routers from several major Dutch internet providers and telecom companies. They found the routers used insecure proprietary algorithms to generate default WPA2 passwords that were trivial to recover within minutes, leaving networks vulnerable to attack. The authors worked with the Dutch government to disclose the issues responsibly and coordinate public notifications.
This document discusses various computer security risks and safeguards. It describes types of network attacks like viruses, worms, and Trojan horses. It also discusses unauthorized access and ways to prevent it through access controls, passwords, biometrics, and digital forensics. The document covers risks of hardware theft, software theft, and information theft. It discusses safeguards like encryption, digital signatures, and backups. Other topics include wireless security risks, health issues from computer use, and ethical issues around information accuracy, intellectual property, green computing, and privacy.
This document discusses the development of doctor-friendly software for heart rate variability (HRV) analysis. The software provides a graphical user interface and uses data from an electrocardiogram recording device to calculate HRV metrics in both the time and frequency domains. These metrics provide insights into autonomic nervous system function and cardiac health. The software displays the ECG signal, calculated heart rate over time, and outputs time domain measures like heart rate, mean NN interval, and standard deviation of NN intervals. It also performs frequency domain analysis via fast Fourier transform to measure power in low, mid, and high frequency bands. The software is designed to be easy for doctors to use and understand for HRV analysis.
This document presents a new database query language designed for small mobile devices like mobile phones. The authors developed a prototype database query system for mobile phones that uses this language. They conducted usability tests on the prototype to evaluate how effective the language is on mobile devices with limited screen size and resources. The language aims to allow different types of queries as well as unplanned queries, using minimal resources. This makes the query system more generic and able to access remote databases from mobile phones.
Presentation of "State of the Art of IoT Honeypots" technical report developed for the Seminar in Advanced Topics in Computer Science 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/secret/EfL8YbinRZjDPS
Corporate provide access to intranet and internet with specific objectives. Intranet access is usually granted so that employees can avail telephone directory, human resource policies, support information and knowledge base. Extranet access is given to distribute information, improve existing information delivery techniques and support major strategic initiatives.
Using employee intranets arrives with its own set of benefits. It enhances employee productivity, saves cost and improves customer management improvements. However, companies can truly reap the benefits by syndication although it comes with certain caveats: syndication can be done in the following instances.
A Havoc Proof for Secure and Robust Audio WatermarkingCSCJournals
The audio watermarking involves the concealment of data within a discrete audio file. Audio watermarking technology affords an opportunity to generate copies of a recording which are perceived by listeners as identical to the original but which may differ from one another on the basis of the embedded information. A highly confidential audio watermarking scheme using multiple scrambling is presented Superior to other audio watermarking techniques, the proposed scheme is self-secured by integrating multiple scrambling operations into the embedding stage. To ensure that unauthorized detection without correct secret keys is nearly impossible, the watermark is encrypted by a coded-image; certain frames are randomly selected from the total frames of the audio signal for embedding and their order of coding is further randomized. Adaptive synchronization is improves the robustness against hazardous synchronization attacks, such as random samples cropping/inserting and pitch-invariant time stretching. The efficient watermarking schemes make it impossible to be detected and robust even though the watermarking algorithm is open to the public.
A Survey: DDOS Attack on Internet of ThingsIJERD Editor
Internet of Things refer as interconnection of smart object, included from small coffee machine to
big car, communicate with each other without human interactions also called as Device to Device
communications. In current emerging world, all of the devices become smarter and can communicate with other
devices as well. With this rapid development of Internet of Things in different area like smart home, smart
hospital etc. it also have to face some difficulty to securing overall privacy due to heterogeneity nature. There
are so many types of vulnerability but here in this paper we put concentration on Distributed Denial of Service
attack (DDoS). DoS is attack which can block the usage for authentic user and make network resource
unavailable, consume bandwidth; if similar attack is penetrated from different sources its call DDoS. To prevent
from such attack it need mechanism that can detect and prevent it from attack, but due to small devices it has
limited power capacity. So that mechanism must be implemented at network entrance. In this paper we discuss
different DDoS attack and its effect on IoT.
The document outlines objectives for day 1 of a training on network security and hacking techniques, including hardening Linux and Windows 2000 systems, analyzing software vulnerabilities and attacking techniques, and discussing elements of network security like confidentiality, integrity, availability, and models for access control. It also provides details on installation and configuration of Linux operating systems for network security.
Analytical Study on Network Security Breach’sijtsrd
Throughout the previous few years, Computer systems were principally utilized by association for correspondence between various divisions. Under these conditions security was not a significant concern and it didnt get part of consideration. Be that as it may, presently, there is an extraordinary effect of between organize job in every single residents life, from Banking – Hospitals Education Transportation and so forth. However, presently arrange has sprouted different security concerns. In any case, presently with the expanding utilization of Computer in everyday action there is a serious requirement for robotized devices for securing touchy information and data put away on the Computer. Especially for the situation for a mutual framework, for example, time sharing framework and where the need is significantly increasingly intense for frameworks that is available for an open phone or an information organize. The standard name for the assortment of devices to ensure information and to forestall Hackers is Computer Security . This proposition talk about and depicts spoofing , which is if an aggressor can tune in for a customers ask for and imitate an answer before the genuine location server can, at that point the customer will utilize the data gave by the hacker. This is known as spoofing. Siddiqui Sana Afreen "Analytical Study on Network Security Breach’s" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3 , April 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30403.pdf Paper Url :https://www.ijtsrd.com/computer-science/other/30403/analytical-study-on-network-security-breach%E2%80%99s/siddiqui-sana-afreen
This document discusses network hacking techniques. It describes ARP spoofing attacks, including generating spoofed ARP replies to redirect traffic. It also discusses sniffing attacks, session hijacking, and tools used for these attacks like Ettercap and Dsniff. Detection methods are outlined, though the document notes most older operating systems lacked detection. Hypothetical detection applications are proposed to track ARP entries and identify spoofing.
LATTICE STRUCTURAL ANALYSIS ON SNIFFING TO DENIAL OF SERVICE ATTACKSIJCNCJournal
Sniffing is one of the most prominent causes for most of the attacks in the digitized computing environment. Through various packet analyzers or sniffers available free of cost, the network packets can be captured and analyzed. The sensitive information of the victim like user credentials, passwords, a PIN which is of more considerable interest to the assailants’ can be stolen through sniffers. This is the primary reason for most of the variations of DDoS attacks in the network from a variety of its catalog of attacks. An effective and trusted framework for detecting and preventing these sniffing has greater significance in today’s computing. A counter hack method to avoid data theft is to encrypt sensitive information. This paper provides an analysis of the most prominent sniffing attacks. Moreover, this is one of the most important strides to guarantee system security. Also, a Lattice structure has been derived to prove that sniffing is the prominent activity for DoS or DDoS attacks.
Network security is important to protect systems from attacks. Firewalls act as the first line of defense, blocking unauthorized incoming and outgoing network traffic based on security rules. Different types of firewalls operate at different layers of the OSI model and provide varying levels of security. No single security measure can guarantee protection, so a defense-in-depth approach using firewalls along with other tools like intrusion detection systems is recommended.
International Journal of Computer Science and Security Volume (1) Issue (3)CSCJournals
The document discusses integrating VPN and IDS technologies to improve network security. It proposes configuring a VPN concentrator/firewall to encrypt traffic between remote clients and private networks. An IDS would be placed within the private network to monitor decrypted traffic. Rules would define the IDS monitoring encrypted VPN traffic and taking action on detected threats. The integration aims to address issues like switched and encrypted data evading traditional network IDS, while reducing false alarms through traffic correlation. Configuration rules specify interfaces, address pools, VPN/firewall settings, and IDS login to dynamically update firewall rules.
Yesterday Pierluigi Paganini, CISO Bit4Id and founder Security Affairs, presented at the ISACA Roma & OWASP Italy conference the state of the art for the Internet of Things paradigm. The presentation highlights the security and privacy issues for the Internet of Things, a technology that is changing user’s perception of the technology.
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.
This document discusses weaknesses in WPA/WPA2 authentication protocols for wireless networks and tools that can be used to exploit them. It begins with background on WEP, WPA, and WPA2 authentication. It then examines weaknesses such as using weak passwords that are vulnerable to cracking, and vulnerabilities in Wi-Fi Protected Setup (WPS) that allow attackers to recover the PIN. The document outlines the tools needed to exploit WPA, including a Linux-based operating system, a wireless network adapter supporting packet injection, and basic networking skills. It provides steps to use the tool Aircrack-ng to crack a WPA network by first putting the adapter in monitor mode, capturing packets, and cracking the password.
Dr. Arun Sood is a professor of computer science who has developed an approach called Self Cleansing Intrusion Tolerance (SCIT) to improve server security. SCIT works by converting static servers into dynamic servers that refresh regularly, reducing exposure time to malware while maintaining service. His research aims to limit losses from successful attacks by restoring servers to a pristine state frequently. SCIT has been implemented to refresh servers every minute, limiting the time for malware to cause damage.
The Internet of Things (IoT) is thriving network of smart objects where one physical object can exchange information with another physical object. In today’s Internet of Things (IoT) the interest is the concealment and security of data in a network. The obtrusion into Internet of Things (IoT) exposes the extent with which the internet of things is vulnerable to attacks and how such attack can be detected to prevent extreme damage. It emphasises on threats, vulnerability, attacks and possible methods of detecting intruders to stop the system from further destruction, this paper proposes a way out of the impending security situation of Internet of things using IPV6 Low -power wireless personal Area Network.
The document describes an intrusion detection system for cluster-based wireless sensor networks. It proposes using MAC address-based intruder tracking to detect intruders early. The system divides the network into clusters, with cluster heads monitoring members. It uses port numbers, IP addresses and MAC addresses to authenticate nodes and detect intruders pretending to be valid nodes. If intruder behavior is detected, an alarm is raised. The approach aims to securely transmit data in the network by identifying and preventing malicious intrusions and attacks.
The intention behind writing this paper on this subject is to anticipate IT students or novice in the field of data communication and network security about spoofing attacks, how vulnerable and the prevention from the attacks. Nowadays, several malicious attacks and contents are found on the internet. So, to overcome the probability of risk, it is must be implemented to prevent the end user from these. IP address spoofing is basically a technique to alter spoof the packets of original source address in the header section intended to compromise or retrieve sensitive information from another trusted host or a machine. The meaning of spoofing is to provide the false information, in the area network security and it comprises of many types which includes IP ADDRESS SPOOFING E MAIL SPOOFING WEB SPOOFING ARP ADDRESS RESOLUTION PROTOCOL SPOOFING Mr. Satish Bharadwaj | Prof. Abhijit Desai "IP Spoofing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-6 , October 2020, URL: https://www.ijtsrd.com/papers/ijtsrd33246.pdf Paper Url: https://www.ijtsrd.com/computer-science/computer-security/33246/ip-spoofing/mr-satish-bharadwaj
The document discusses analyzing the password generating algorithms used in wireless routers commonly deployed in the Netherlands. The authors were able to reverse engineer routers from several major Dutch internet providers and telecom companies. They found the routers used insecure proprietary algorithms to generate default WPA2 passwords that were trivial to recover within minutes, leaving networks vulnerable to attack. The authors worked with the Dutch government to disclose the issues responsibly and coordinate public notifications.
This document discusses various computer security risks and safeguards. It describes types of network attacks like viruses, worms, and Trojan horses. It also discusses unauthorized access and ways to prevent it through access controls, passwords, biometrics, and digital forensics. The document covers risks of hardware theft, software theft, and information theft. It discusses safeguards like encryption, digital signatures, and backups. Other topics include wireless security risks, health issues from computer use, and ethical issues around information accuracy, intellectual property, green computing, and privacy.
This document discusses the development of doctor-friendly software for heart rate variability (HRV) analysis. The software provides a graphical user interface and uses data from an electrocardiogram recording device to calculate HRV metrics in both the time and frequency domains. These metrics provide insights into autonomic nervous system function and cardiac health. The software displays the ECG signal, calculated heart rate over time, and outputs time domain measures like heart rate, mean NN interval, and standard deviation of NN intervals. It also performs frequency domain analysis via fast Fourier transform to measure power in low, mid, and high frequency bands. The software is designed to be easy for doctors to use and understand for HRV analysis.
This document presents a new database query language designed for small mobile devices like mobile phones. The authors developed a prototype database query system for mobile phones that uses this language. They conducted usability tests on the prototype to evaluate how effective the language is on mobile devices with limited screen size and resources. The language aims to allow different types of queries as well as unplanned queries, using minimal resources. This makes the query system more generic and able to access remote databases from mobile phones.
This document proposes a new type of image-based CAPTCHA called an "Image Arrangement CAPTCHA". It involves dividing an image into 9 pixels and shuffling them. The user must then rearrange the pixels to reconstruct the original image. This makes it difficult for computers but easy for humans. The document discusses how existing text-based CAPTCHAs can be overcome by advanced computer programs, so image-based CAPTCHAs are proposed instead. It also notes that CAPTCHAs should not annoy users, so image puzzles could be enjoyable for humans to solve. The document suggests conducting experiments to test the usability of the proposed Image Arrangement CAPTCHA.
This document describes the development of an FPGA-based embedded web server using a soft-core Microblaze processor. A Microblaze soft processor and supporting IP cores are implemented on a Spartan 3AN FPGA to provide the embedded web server functionality. The web server allows remote monitoring and control of the FPGA board via a web browser using HTTP. It has low resource usage and provides features like file serving, IO control, and interfacing with other processors. Performance is improved by enabling the barrel shifter and caching. The embedded web server was tested successfully between a web client and the FPGA board.
This document summarizes a research paper that describes the development and verification of a VHDL code for a 16-bit analog-to-digital converter (ADC) for an FPGA-based beam position measurement board. The board uses a Spartan-3 FPGA and 4-channel 16-bit ADC interfaced with a VME bus to digitize signals from a beam position indicator and store the data in onboard memory. The VHDL code for the ADC was developed and tested using various tools. Testing verified the functionality of the ADC, VME interface, and data acquisition.
This document proposes a case-based reasoning model (CBRM) to facilitate knowledge sharing and improve medical decision making. The CBRM would automatically model physicians' experiences with patients by collecting data on symptoms, treatments, medications, and outcomes. This data would be analyzed statistically to identify patterns and common factors among similar disease cases. The CBRM uses a four step process (retrieve, reuse, revise, retain) inspired by human reasoning to match new patient cases to previous similar cases and help physicians identify relevant diagnoses and treatments. The goal is to improve patient care by providing physicians quick access to the most relevant past case histories and clinical insights for better decision making.
This document summarizes a research paper that proposes an efficient VLSI implementation of a pipelined fast Fourier transform (FFT). The key aspects are:
1) A single-path delay feedback (SDF) pipeline architecture is adopted to implement the FFT processor. This architecture requires less memory space and has lower power consumption than existing designs.
2) A reconfigurable complex multiplier and bit-parallel multipliers are used instead of read-only memories to store twiddle factors. This eliminates the need for ROMs and reduces power consumption.
3) The proposed FFT architecture contains three types of processing elements - a complex constant multiplier, delay buffers, and extra units for IFFT computation. It achieves a
This document summarizes a study on using watermarking and security techniques for image broadcast. The study embeds a unique user ID watermark into images before distributing them in order to identify the source of any pirated images. The watermark is encrypted using an algorithm like RSA. When a pirated image is found, the watermark can be extracted to reveal the user's ID. Experimental results show the watermark can still be extracted after various image processing attacks, demonstrating the validity and robustness of the technique for secure image transmission and piracy detection.
This document summarizes a research paper that proposes improvements to the probabilistic packet marking (PPM) algorithm for detecting the path of distributed denial-of-service attacks. The PPM algorithm allows routers to mark attack packets with identification information based on a predetermined probability. However, its termination condition is not well-defined, which can result in an incorrectly constructed attack path. The paper proposes a modified PPM algorithm called rectified PPM (RPPM) that defines a precise termination condition to guarantee the constructed attack path is correct with a specified level of confidence. An experimental framework is designed to test the RPPM algorithm under different packet marking probabilities and network structures.
An enhanced ip traceback mechanism for tracking the attack source using packe...IAEME Publication
The document discusses an enhanced IP traceback mechanism (EITM) to more efficiently trace the source of distributed denial of service (DDoS) attacks. EITM aims to reduce the number of packets required for traceback by improving existing linear and remainder packet marking schemes. It analyzes challenges in tracing attackers due to the stateless nature of the internet and proposes that an effective traceback scheme minimizes required packets. The main goal is a mechanism that needs a number of packets almost equal to the number of hops to reconstruct the attack path more efficiently.
BasepaperControlling IP Spoofing through Interdomain Packet Filtersbhasker nalaveli
This document discusses controlling IP spoofing through interdomain packet filters (IDPFs). It proposes an IDPF architecture that can mitigate IP spoofing without requiring global routing information. IDPFs are constructed using information from Border Gateway Protocol (BGP) route updates and deployed in border routers. Simulation results show that even partial deployment of IDPFs can limit spoofing capability of attackers and help localize the origin of attack packets.
Efficient packet marking for large scale ip trace back(synopsis)Mumbai Academisc
This document proposes a new probabilistic packet marking (PPM) approach for large-scale IP traceback that improves efficiency and accuracy of traceback and provides incentives for ISPs to deploy traceback. The approach uses a new IP header encoding scheme to store a router's full identification in a single packet, eliminating issues from fragmented IDs. It also does not disclose router IP addresses, alleviating security concerns for ISPs. The approach can control the distribution of marking information to potentially create revenue as a value-added service for ISPs.
This document proposes a novel method to defend against IP spoofing attacks using packet filtering and marking techniques. It involves a network architecture model with trusted nodes that can access each other after authentication. The proposed method uses packet tracing and cooperation between trusted adjacent nodes to detect and block spoofed packets entering the trusted network from external sources. It aims to effectively defend against distributed denial of service attacks and IP spoofing attacks.
This document summarizes a research paper that proposes an inter-domain packet filter (IDPF) architecture to mitigate IP spoofing on the Internet. The IDPF constructs packet filters from information in Border Gateway Protocol (BGP) route updates and deploys them in network border routers. The IDPF framework is shown to correctly filter packets with valid source addresses, based on the single-path routing assumption. Simulation results demonstrate that even partial IDPF deployment can effectively limit spoofing capability and help localize attack origins. The paper establishes the relationship between IDPF effectiveness and the power-law topology of Internet autonomous systems.
An improved ip traceback mechanism for network securityeSAT Journals
This document summarizes several existing IP traceback techniques and proposes a new hybrid approach. It discusses disadvantages of current techniques like high storage and bandwidth overhead. The proposed approach aims to reduce these overheads while maintaining single-packet traceability. It would reduce the number of routers queried and storage required by 2/3 compared to existing approaches. The approach was analyzed using the CAIDA dataset but has not been tested in a real-time network. The document concludes future work could develop a real-time traceback mechanism to identify attacks within a network.
Passive ip traceback disclosing the locations of ip spoofers from path backsc...Pvrtechnologies Nellore
Passive IP traceback (PIT) is a novel solution that can identify the locations of IP spoofers without deploying additional mechanisms. PIT analyzes Internet Control Message Protocol (ICMP) error messages, called path backscatter, that are generated and sent by routers when they fail to forward spoofing packets due to reasons like exceeding time-to-live (TTL). By tracking path backscatter messages based on topology and routing information, PIT can disclose locations closer to the spoofers. The paper demonstrates PIT's processes and effectiveness, and applies it to a path backscatter dataset to find spoofers in specific autonomous systems. PIT provides a useful mechanism to trace spoofers before an Internet-level traceback system is deployed.
IRJET- A Survey on DDOS Attack in ManetIRJET Journal
This document summarizes a survey on distributed denial of service (DDoS) attacks in mobile ad hoc networks (MANETs). It begins by introducing MANETs and some of the key security issues they face, including DDoS attacks. It then discusses different types of DDoS attacks like flooding and amplification/reflection attacks. The document proposes a new defense scheme against amplification attacks, which exploit protocols like DNS and NTP to amplify traffic. It describes using the Network Security Simulator to model and simulate DDoS attacks with master, zombie, and server entities to evaluate defense techniques and compare the impact of protocols like DNS and NTP.
This document discusses the design and implementation of an embedded intrusion detection and authority management system on an embedded Linux platform. The system is capable of identifying Smurf attacks and analyzing ICMP traffic in real-time. It uses a low-power embedded development board running Linux 2.4.18 to monitor network traffic and detect suspicious behavior and security threats like port scans, buffer overflows, and DDoS attacks in a cost-effective manner. Experimental results show that the embedded system can successfully detect Smurf attacks and provide detection information comparable to a desktop system, while using less resources.
CONTROLLING IP FALSIFYING USING REALISTIC SIMULATIONIJNSA Journal
This document discusses a proposal to develop a new distributed Internet simulator to study large-scale network events like distributed denial-of-service (DDoS) attacks and worm propagation. Existing network simulators have limited scalability and lack realistic Internet models. The proposed simulator would have a built-in Internet topology model and customizeable modules to simulate specific events while cutting down on unnecessary details. It aims to make large-scale network simulation more accessible to researchers and improve the realism of simulations compared to current tools.
CONTROLLING IP FALSIFYING USING REALISTIC SIMULATIONIJNSA Journal
This document discusses a proposal to develop a new distributed Internet simulator to study large-scale network events like distributed denial-of-service (DDoS) attacks and worm propagation. Existing network simulators have limited scalability and lack realistic Internet models. The proposed simulator would have a built-in Internet topology model and customizeable modules to simulate specific events while cutting down on unnecessary details. It aims to make large-scale network simulation more accessible to researchers and improve the realism of simulations compared to simplified models currently used. The simulator could help study defenses against problems like IP spoofing, DDoS attacks, and worms.
Security Issues in Next Generation IP and Migration NetworksIOSR Journals
This document discusses security issues related to the migration from IPv4 to IPv6 networks. It analyzes common network attacks in IPv4 and how they may impact IPv6 networks. These attacks include reconnaissance attacks, host initialization attacks, broadcast amplification attacks, header manipulation attacks, routing attacks, and firewall evasion through fragmentation. The document provides guidelines to mitigate each of these attacks, such as using random node IDs, securing neighbor discovery protocols, ingress filtering of packets, and deep packet inspection. It addresses that while IPv6 aims to improve security over IPv4, vulnerabilities will still exist and many attacks will continue in a polymorphic manner during the migration process when both protocols must coexist.
This document discusses security issues related to the migration from IPv4 to IPv6 networks. It analyzes common network attacks in IPv4 and how they may impact IPv6 networks. These attacks include reconnaissance attacks, host initialization attacks, broadcast amplification attacks, header manipulation attacks, routing attacks, and firewall evasion through fragmentation. The document provides guidelines to mitigate these attacks, such as using random node IDs, securing neighbor discovery and DHCPv6, ingress filtering of packets, and parsing entire extension header chains. It addresses that while IPv6 introduces new vulnerabilities, existing IPv4 threats will also impact IPv6 networks, and secure migration techniques are needed as IPv4 and IPv6 networks coexist during the transition period.
This document summarizes a research paper published in the International Journal of Advanced Research in Engineering and Technology (IJARET) that analyzes the performance of a bandwidth starvation attack in a local area network (LAN). The paper introduces bandwidth starvation attacks as a type of distributed denial of service (DDoS) attack that floods a network with packets to degrade performance. It then implements a bandwidth starvation attack in a wired LAN using a software router and intrusion detection system (IDS). The proposed approach involves implementing a signature-based host IDS in the router to identify attack packets as they are forwarded and prevent the attack from impacting the network.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
IRJET- HTTP Flooding Attack Detection using Data Mining TechniquesIRJET Journal
This document discusses using data mining techniques to detect HTTP flooding attacks, a type of distributed denial of service (DDoS) attack. It describes how HTTP floods work by overloading servers with requests from compromised devices called "zombies." The document then outlines several data mining techniques that can be used for detection, including intrusion detection systems (IDS) and IP traceback. IDS uses techniques like misuse detection, anomaly detection, and signature-based detection to monitor network traffic. IP traceback aims to trace attack packets back to their origin. The document concludes that continued improvement in data mining techniques can help better handle DDoS and DoS attacks.
This document discusses common denial of service (DoS) attacks and methods to mitigate them. It describes two common DoS attack methods: SYN floods which exploit TCP implementation and ping of death attacks using IP fragmentation. Distributed denial of service (DDoS) attacks are explained as using these methods from multiple compromised systems. Notorious DDoS attacks like Smurf and MyDoom are outlined. The document then discusses techniques to mitigate attacks like using access lists and network address translation (NAT). It provides examples of access list configuration and describes NAT's role in firewall capabilities and preventing spoofing and flooding attacks.
An approach to mitigate DDoS attacks on SIP.pptxamalouwarda1
This document proposes an approach to mitigate distributed denial of service (DDoS) attacks on voice over internet protocol (VoIP) systems. It discusses common VoIP attacks like eavesdropping, reconnaissance, and DDoS attacks. The proposed system would use Suricata as an intrusion detection and prevention system to analyze VoIP traffic, detect attacks, and trigger mitigation responses. It recommends configuring call limits, updating device firmware, and using a buffer server to filter traffic as countermeasures against DDoS attacks on SIP-based VoIP networks.
Electrically small antennas: The art of miniaturizationEditor IJARCET
We are living in the technological era, were we preferred to have the portable devices rather than unmovable devices. We are isolating our self rom the wires and we are becoming the habitual of wireless world what makes the device portable? I guess physical dimensions (mechanical) of that particular device, but along with this the electrical dimension is of the device is also of great importance. Reducing the physical dimension of the antenna would result in the small antenna but not electrically small antenna. We have different definition for the electrically small antenna but the one which is most appropriate is, where k is the wave number and is equal to and a is the radius of the imaginary sphere circumscribing the maximum dimension of the antenna. As the present day electronic devices progress to diminish in size, technocrats have become increasingly concentrated on electrically small antenna (ESA) designs to reduce the size of the antenna in the overall electronics system. Researchers in many fields, including RF and Microwave, biomedical technology and national intelligence, can benefit from electrically small antennas as long as the performance of the designed ESA meets the system requirement.
This document provides a comparative study of two-way finite automata and Turing machines. Some key points:
- Two-way finite automata are similar to read-only Turing machines in that they have a finite tape that can be read in both directions, but cannot write to the tape.
- Turing machines have an infinite tape that can be read from and written to, allowing them to recognize recursively enumerable languages.
- Both models are examined in their ability to accept the regular language L={anbm|m,n>0}.
- The time complexity of a two-way finite automaton for this language is O(n2) due to making two passes over the
This document analyzes and compares the performance of the AODV and DSDV routing protocols in a vehicular ad hoc network (VANET) simulation. Simulations were conducted using NS-2, SUMO, and MOVE simulators for a grid map scenario with varying numbers of nodes. The results show that AODV performed better than DSDV in terms of throughput and packet delivery fraction, while DSDV had lower end-to-end delays. However, neither protocol was found to be fully suitable for the highly dynamic VANET environment. The document concludes that further work is needed to develop improved routing protocols optimized for VANETs.
This document discusses the digital circuit layout problem and approaches to solving it using graph partitioning techniques. It begins by introducing the digital circuit layout problem and how it has become more complex with increasing circuit sizes. It then discusses how the problem can be decomposed into subproblems using graph partitioning to assign geometric coordinates to circuit components. The document reviews several traditional approaches to solve the problem, such as the Kernighan-Lin algorithm, and discusses their limitations for larger circuit sizes. It also discusses more recent approaches using evolutionary algorithms and concludes by analyzing the contributions of various approaches.
This document summarizes various data mining techniques that have been used for intrusion detection systems. It first describes the architecture of a data mining-based IDS, including sensors to collect data, detectors to evaluate the data using detection models, a data warehouse for storage, and a model generator. It then discusses supervised and unsupervised learning approaches that have been applied, including neural networks, support vector machines, K-means clustering, and self-organizing maps. Finally, it reviews several related works applying these techniques and compares their results, finding that combinations of approaches can improve detection rates while reducing false alarms.
This document provides an overview of speech recognition systems and recent progress in the field. It discusses different types of speech recognition including isolated word, connected word, continuous speech, and spontaneous speech. Various techniques used in speech recognition are also summarized, such as simulated evolutionary computation, artificial neural networks, fuzzy logic, Kalman filters, and Hidden Markov Models. The document reviews several papers published between 2004-2012 that studied speech recognition methods including using dynamic spectral subband centroids, Kalman filters, biomimetic computing techniques, noise estimation, and modulation filtering. It concludes that Hidden Markov Models combined with MFCC features provide good recognition results for large vocabulary, speaker-independent, continuous speech recognition.
This document discusses integrating two assembly lines, Line A and Line B, based on lean line design concepts to reduce space and operators. It analyzes the current state of the lines using tools like takt time analysis and MTM/UAS studies. Improvements are identified to eliminate waste, including methods improvements, workplace rearrangement, ergonomic changes, and outsourcing. Paper kaizen is conducted and work elements are retimed. The goal is to integrate the lines to better utilize space and manpower while meeting manufacturing standards.
This document summarizes research on the exposure of microwaves from cellular networks. It describes how microwaves interact with biological systems and discusses measurement techniques and safety standards regarding microwave exposure. While some studies have alleged health hazards from microwaves, independent reviews by health organizations have found no evidence that exposure to microwaves below international safety limits causes harm. The document concludes that with precautions like limiting exposure time and using phones with lower SAR ratings, microwaves from cell phones pose minimal health risks.
This document summarizes a research paper that examines the effect of feature reduction in sentiment analysis of online reviews. It uses principle component analysis to reduce the number of features (product attributes) from a dataset of 500 camera reviews labeled as positive or negative. Two models are developed - one using the original set of 95 product attributes, and one using the reduced set. Support vector machines and naive Bayes classifiers are applied to both models and their performance is evaluated to determine if classification accuracy can be maintained while using fewer features. The results show it is possible to achieve similar accuracy levels with less features, improving computational efficiency.
This document provides a review of multispectral palm image fusion techniques. It begins with an introduction to biometrics and palm print identification. Different palm print images capture different spectral information about the palm. The document then reviews several pixel-level fusion methods for combining multispectral palm images, finding that Curvelet transform performs best at preserving discriminative patterns. It also discusses hardware for capturing multispectral palm images and the process of region of interest extraction and localization. Common fusion methods like wavelet transform and Curvelet transform are also summarized.
This document describes a vehicle theft detection system that uses radio frequency identification (RFID) technology. The system involves embedding an RFID chip in each vehicle that continuously transmits a unique identification signal. When a vehicle is stolen, the owner reports it to the police, who upload the vehicle's information to a central database. Police vehicles are equipped with RFID receivers. If a stolen vehicle passes within range of a receiver, the receiver detects the vehicle's ID signal and displays its details on a tablet. This allows police to quickly identify and recover stolen vehicles. The system aims to make it difficult for thieves to hide a vehicle's identity and allows vehicles to be tracked globally wherever the detection system is implemented.
This document discusses and compares two techniques for image denoising using wavelet transforms: Dual-Tree Complex DWT and Double-Density Dual-Tree Complex DWT. Both techniques decompose an image corrupted by noise using filter banks, apply thresholding to the wavelet coefficients, and reconstruct the image. The Double-Density Dual-Tree Complex DWT yields better denoising results than the Dual-Tree Complex DWT as it produces more directional wavelets and is less sensitive to shifts and noise variance. Experimental results on test images demonstrate that the Double-Density method achieves higher peak signal-to-noise ratios, especially at higher noise levels.
This document compares the k-means and grid density clustering algorithms. It summarizes that grid density clustering determines dense grids based on the densities of neighboring grids, and is able to handle different shaped clusters in multi-density environments. The grid density algorithm does not require distance computation and is not dependent on the number of clusters being known in advance like k-means. The document concludes that grid density clustering is better than k-means clustering as it can handle noise and outliers, find arbitrary shaped clusters, and has lower time complexity.
This document proposes a method for detecting, localizing, and extracting text from videos with complex backgrounds. It involves three main steps:
1. Text detection uses corner metric and Laplacian filtering techniques independently to detect text regions. Corner metric identifies regions with high curvature, while Laplacian filtering highlights intensity discontinuities. The results are combined through multiplication to reduce noise.
2. Text localization then determines the accurate boundaries of detected text strings.
3. Text binarization filters background pixels to extract text pixels for recognition. Thresholding techniques are used to convert localized text regions to binary images.
The method exploits different text properties to detect text using corner metric and Laplacian filtering. Combining the results improves
This document describes the design and implementation of a low power 16-bit arithmetic logic unit (ALU) using clock gating techniques. A variable block length carry skip adder is used in the arithmetic unit to reduce power consumption and improve performance. The ALU uses a clock gating circuit to selectively clock only the active arithmetic or logic unit, reducing dynamic power dissipation from unnecessary clock charging/discharging. The ALU was simulated in VHDL and synthesized for a Xilinx Spartan 3E FPGA, achieving a maximum frequency of 65.19MHz at 1.98mW power dissipation, demonstrating improved performance over a conventional ALU design.
This document describes using particle swarm optimization (PSO) and genetic algorithms (GA) to tune the parameters of a proportional-integral-derivative (PID) controller for an automatic voltage regulator (AVR) system. PSO and GA are used to minimize the objective function by adjusting the PID parameters to achieve optimal step response with minimal overshoot, settling time, and rise time. The results show that PSO provides high-quality solutions within a shorter calculation time than other stochastic methods.
This document discusses implementing trust negotiations in multisession transactions. It proposes a framework that supports voluntary and unexpected interruptions, allowing negotiating parties to complete negotiations despite temporary unavailability of resources. The Trust-x protocol addresses issues related to validity, temporary loss of data, and extended unavailability of one negotiator. It allows a peer to suspend an ongoing negotiation and resume it with another authenticated peer. Negotiation portions and intermediate states can be safely and privately passed among peers to guarantee stability for continued suspended negotiations. An ontology is also proposed to provide formal specification of concepts and relationships, which is essential in complex web service environments for sharing credential information needed to establish trust.
This document discusses and compares various nature-inspired optimization algorithms for resolving the mixed pixel problem in remote sensing imagery, including Biogeography-Based Optimization (BBO), Genetic Algorithm (GA), and Particle Swarm Optimization (PSO). It provides an overview of each algorithm, explaining key concepts like migration and mutation in BBO. The document aims to prove that BBO is the best algorithm for resolving the mixed pixel problem by comparing it to other evolutionary algorithms. It also includes figures illustrating concepts like the species model and habitat in BBO.
This document discusses principal component analysis (PCA) for face recognition. It begins with an introduction to face recognition and PCA. PCA works by calculating eigenvectors from a set of face images, which represent the principal components that account for the most variance in the image data. These eigenvectors are called "eigenfaces" and can be used to reconstruct the face images. The document then discusses how the system is implemented, including preparing a face database, normalizing the training images, calculating the eigenfaces/principal components, projecting the face images into this reduced space, and recognizing faces by calculating distances between projected test images and training images.
This document summarizes research on using wireless sensor networks to detect mobile targets. It discusses two optimization problems: 1) maximizing the exposure of the least exposed path within a sensor budget, and 2) minimizing sensor installation costs while ensuring all paths have exposure above a threshold. It proposes using tabu search heuristics to provide near-optimal solutions. The research also addresses extending the models to consider wireless connectivity, heterogeneous sensors, and intrusion detection using a game theory approach. Experimental results show the proposed mobile replica detection scheme can rapidly detect replicas with no false positives or negatives.
"$10 thousand per minute of downtime: architecture, queues, streaming and fin...Fwdays
Direct losses from downtime in 1 minute = $5-$10 thousand dollars. Reputation is priceless.
As part of the talk, we will consider the architectural strategies necessary for the development of highly loaded fintech solutions. We will focus on using queues and streaming to efficiently work and manage large amounts of data in real-time and to minimize latency.
We will focus special attention on the architectural patterns used in the design of the fintech system, microservices and event-driven architecture, which ensure scalability, fault tolerance, and consistency of the entire system.
MySQL InnoDB Storage Engine: Deep Dive - MydbopsMydbops
This presentation, titled "MySQL - InnoDB" and delivered by Mayank Prasad at the Mydbops Open Source Database Meetup 16 on June 8th, 2024, covers dynamic configuration of REDO logs and instant ADD/DROP columns in InnoDB.
This presentation dives deep into the world of InnoDB, exploring two ground-breaking features introduced in MySQL 8.0:
• Dynamic Configuration of REDO Logs: Enhance your database's performance and flexibility with on-the-fly adjustments to REDO log capacity. Unleash the power of the snake metaphor to visualize how InnoDB manages REDO log files.
• Instant ADD/DROP Columns: Say goodbye to costly table rebuilds! This presentation unveils how InnoDB now enables seamless addition and removal of columns without compromising data integrity or incurring downtime.
Key Learnings:
• Grasp the concept of REDO logs and their significance in InnoDB's transaction management.
• Discover the advantages of dynamic REDO log configuration and how to leverage it for optimal performance.
• Understand the inner workings of instant ADD/DROP columns and their impact on database operations.
• Gain valuable insights into the row versioning mechanism that empowers instant column modifications.
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsDianaGray10
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
AppSec PNW: Android and iOS Application Security with MobSFAjin Abraham
Mobile Security Framework - MobSF is a free and open source automated mobile application security testing environment designed to help security engineers, researchers, developers, and penetration testers to identify security vulnerabilities, malicious behaviours and privacy concerns in mobile applications using static and dynamic analysis. It supports all the popular mobile application binaries and source code formats built for Android and iOS devices. In addition to automated security assessment, it also offers an interactive testing environment to build and execute scenario based test/fuzz cases against the application.
This talk covers:
Using MobSF for static analysis of mobile applications.
Interactive dynamic security assessment of Android and iOS applications.
Solving Mobile app CTF challenges.
Reverse engineering and runtime analysis of Mobile malware.
How to shift left and integrate MobSF/mobsfscan SAST and DAST in your build pipeline.
inQuba Webinar Mastering Customer Journey Management with Dr Graham HillLizaNolte
HERE IS YOUR WEBINAR CONTENT! 'Mastering Customer Journey Management with Dr. Graham Hill'. We hope you find the webinar recording both insightful and enjoyable.
In this webinar, we explored essential aspects of Customer Journey Management and personalization. Here’s a summary of the key insights and topics discussed:
Key Takeaways:
Understanding the Customer Journey: Dr. Hill emphasized the importance of mapping and understanding the complete customer journey to identify touchpoints and opportunities for improvement.
Personalization Strategies: We discussed how to leverage data and insights to create personalized experiences that resonate with customers.
Technology Integration: Insights were shared on how inQuba’s advanced technology can streamline customer interactions and drive operational efficiency.
ScyllaDB is making a major architecture shift. We’re moving from vNode replication to tablets – fragments of tables that are distributed independently, enabling dynamic data distribution and extreme elasticity. In this keynote, ScyllaDB co-founder and CTO Avi Kivity explains the reason for this shift, provides a look at the implementation and roadmap, and shares how this shift benefits ScyllaDB users.
"What does it really mean for your system to be available, or how to define w...Fwdays
We will talk about system monitoring from a few different angles. We will start by covering the basics, then discuss SLOs, how to define them, and why understanding the business well is crucial for success in this exercise.
"NATO Hackathon Winner: AI-Powered Drug Search", Taras KlobaFwdays
This is a session that details how PostgreSQL's features and Azure AI Services can be effectively used to significantly enhance the search functionality in any application.
In this session, we'll share insights on how we used PostgreSQL to facilitate precise searches across multiple fields in our mobile application. The techniques include using LIKE and ILIKE operators and integrating a trigram-based search to handle potential misspellings, thereby increasing the search accuracy.
We'll also discuss how the azure_ai extension on PostgreSQL databases in Azure and Azure AI Services were utilized to create vectors from user input, a feature beneficial when users wish to find specific items based on text prompts. While our application's case study involves a drug search, the techniques and principles shared in this session can be adapted to improve search functionality in a wide range of applications. Join us to learn how PostgreSQL and Azure AI can be harnessed to enhance your application's search capability.
"Scaling RAG Applications to serve millions of users", Kevin GoedeckeFwdays
How we managed to grow and scale a RAG application from zero to thousands of users in 7 months. Lessons from technical challenges around managing high load for LLMs, RAGs and Vector databases.
QA or the Highway - Component Testing: Bridging the gap between frontend appl...zjhamm304
These are the slides for the presentation, "Component Testing: Bridging the gap between frontend applications" that was presented at QA or the Highway 2024 in Columbus, OH by Zachary Hamm.
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...DanBrown980551
This LF Energy webinar took place June 20, 2024. It featured:
-Alex Thornton, LF Energy
-Hallie Cramer, Google
-Daniel Roesler, UtilityAPI
-Henry Richardson, WattTime
In response to the urgency and scale required to effectively address climate change, open source solutions offer significant potential for driving innovation and progress. Currently, there is a growing demand for standardization and interoperability in energy data and modeling. Open source standards and specifications within the energy sector can also alleviate challenges associated with data fragmentation, transparency, and accessibility. At the same time, it is crucial to consider privacy and security concerns throughout the development of open source platforms.
This webinar will delve into the motivations behind establishing LF Energy’s Carbon Data Specification Consortium. It will provide an overview of the draft specifications and the ongoing progress made by the respective working groups.
Three primary specifications will be discussed:
-Discovery and client registration, emphasizing transparent processes and secure and private access
-Customer data, centering around customer tariffs, bills, energy usage, and full consumption disclosure
-Power systems data, focusing on grid data, inclusive of transmission and distribution networks, generation, intergrid power flows, and market settlement data
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
From Natural Language to Structured Solr Queries using LLMsSease
This talk draws on experimentation to enable AI applications with Solr. One important use case is to use AI for better accessibility and discoverability of the data: while User eXperience techniques, lexical search improvements, and data harmonization can take organizations to a good level of accessibility, a structural (or “cognitive” gap) remains between the data user needs and the data producer constraints.
That is where AI – and most importantly, Natural Language Processing and Large Language Model techniques – could make a difference. This natural language, conversational engine could facilitate access and usage of the data leveraging the semantics of any data source.
The objective of the presentation is to propose a technical approach and a way forward to achieve this goal.
The key concept is to enable users to express their search queries in natural language, which the LLM then enriches, interprets, and translates into structured queries based on the Solr index’s metadata.
This approach leverages the LLM’s ability to understand the nuances of natural language and the structure of documents within Apache Solr.
The LLM acts as an intermediary agent, offering a transparent experience to users automatically and potentially uncovering relevant documents that conventional search methods might overlook. The presentation will include the results of this experimental work, lessons learned, best practices, and the scope of future work that should improve the approach and make it production-ready.
AI in the Workplace Reskilling, Upskilling, and Future Work.pptxSunil Jagani
Discover how AI is transforming the workplace and learn strategies for reskilling and upskilling employees to stay ahead. This comprehensive guide covers the impact of AI on jobs, essential skills for the future, and successful case studies from industry leaders. Embrace AI-driven changes, foster continuous learning, and build a future-ready workforce.
Read More - https://bit.ly/3VKly70
QR Secure: A Hybrid Approach Using Machine Learning and Security Validation F...AlexanderRichford
QR Secure: A Hybrid Approach Using Machine Learning and Security Validation Functions to Prevent Interaction with Malicious QR Codes.
Aim of the Study: The goal of this research was to develop a robust hybrid approach for identifying malicious and insecure URLs derived from QR codes, ensuring safe interactions.
This is achieved through:
Machine Learning Model: Predicts the likelihood of a URL being malicious.
Security Validation Functions: Ensures the derived URL has a valid certificate and proper URL format.
This innovative blend of technology aims to enhance cybersecurity measures and protect users from potential threats hidden within QR codes 🖥 🔒
This study was my first introduction to using ML which has shown me the immense potential of ML in creating more secure digital environments!