Security Concepts: Introduction, The need for security, Security approaches, Principles of security, Types of Security attacks, Security services, Security Mechanisms, A model for Network Security Cryptography Concepts and Techniques: Introduction, plain text and cipher text, substitution techniques, transposition techniques, encryption and decryption, symmetric and asymmetric key cryptography, steganography, key range and key size, possible types of attacks
Network Security consists of the provisions and policies adopted by a network
administrator to prevent and monitor unauthorized access, misuse, modification,
or denial of a computer network and network-accessible resources. Network
security involves the authorization of access to data in a network, which is
controlled by the network administrator. Users choose or are assigned an ID and
password or other authenticating information that allows them access to
information and programs within their authority.
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.
Security Concepts: Introduction, The need for security, Security approaches, Principles of security, Types of Security attacks, Security services, Security Mechanisms, A model for Network Security Cryptography Concepts and Techniques: Introduction, plain text and cipher text, substitution techniques, transposition techniques, encryption and decryption, symmetric and asymmetric key cryptography, steganography, key range and key size, possible types of attacks
Network Security consists of the provisions and policies adopted by a network
administrator to prevent and monitor unauthorized access, misuse, modification,
or denial of a computer network and network-accessible resources. Network
security involves the authorization of access to data in a network, which is
controlled by the network administrator. Users choose or are assigned an ID and
password or other authenticating information that allows them access to
information and programs within their authority.
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.
Network security consists of the provisions and policies adopted by a network administrator to prevent and monitor unauthorized access, misuse, modification, or denial of a computer network and network-accessible resources.
As of late, remote sensor organize (WSN) is
utilized in numerous application zones, for
example, checking, following, and controlling. For
some utilizations of WSN, security is an essential
necessity. In any case, security arrangements in
WSN vary from conventional systems because of
asset confinement and computational
requirements. This paper investigates security
arrangements: Tiny Sec, IEEE 802.15.4, Twists,
Mini SEC, LSec, LLSP, LISA, and Drawl in
WSN. The paper additionally introduces qualities,
security prerequisites, assaults, encryption
calculations, and operation modes. This paper is
thought to be valuable for security planners in
WSNs.
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.
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.
Presented by Paul Wilson, Director General of APNIC and Chair of APrIGF Multistakeholder Steering Group at the Asia Pacific Internet Leadership Program as part of 2016 APrIGF Taipei
Yi-Lang Tsai - Cyber Security, Threat Hunting and Defence Challenge in Taiwan...REVULN
TWCSIRT is a full member of FIRST and mainly focuses on the protection of NARLabs, TANet and TWAREN. We are defense cyber-attack from internet and according to government policy to handling incident every day. I am a research fellow with National Center for High-performance Computing and lead cyber security team to operation security operation center to handling incident in Taiwan Academic Network.
In our research project from government, we are deployed the biggest honeynet in Taiwan and used over 6000 IP address to detection malicious network attack come from internet.
We have published our malware knowledge base to sharing malware samples and reports for many researchers, students, research center and sharing our data set for deep tracking about cyber security.
There are many new types of cyber-attack that’s is include ransomware, website mining, DDoS and hybrid malicious attack.
Main Points:
- What’s TWCSIRT Mission and Scope
- How to coordinate in National level with ISAC, CERT and SOC
- Cyber-attack and threat hunting in Taiwan Academic Network
- How to develop cyber security platform for incident handling
- How to do red team and blue team training by CDX
Network security using data mining conceptsJaideep Ghosh
Network Security is a major part of a network that needs to be maintained because information is being passed between computers etc. and is very vulnerable to attack.
Data Mining is the process of extraction of required/specific information from data in database.
Data mining is integrated with network security and can be used with various security tools as well as hacking tool.
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.
Wireless Sensor Network (WSN) is a promising field for research. As the use of this field increases, it is
required to give proper security to this field. So to ensure the security of communication of data or messages and to
control the use of data in WSN is of great importance. As sensor networks interact with responsive data and operate
in unfriendly unattended area, from the time of system design these security concerns should be addressed. The paper,
presents a modified Motesec security protocol which is a security mechanism for Wireless sensor network. In this
protocol a hash function based approach is used to detect replay attacks. For data access control key lock matching
method i.e. memory data access control policy is used to prevent unauthorized data access. Encoding and
reconstruction scheme is used to find out attacker. Flooding attack detection by comparing data rate. There is currently
massive research is present in the area of wireless sensor network security..Keywords: GPS,GCM,LBS Android.
Keywords: secure communication architecture, wireless Sensor network security.
Network security consists of the provisions and policies adopted by a network administrator to prevent and monitor unauthorized access, misuse, modification, or denial of a computer network and network-accessible resources.
As of late, remote sensor organize (WSN) is
utilized in numerous application zones, for
example, checking, following, and controlling. For
some utilizations of WSN, security is an essential
necessity. In any case, security arrangements in
WSN vary from conventional systems because of
asset confinement and computational
requirements. This paper investigates security
arrangements: Tiny Sec, IEEE 802.15.4, Twists,
Mini SEC, LSec, LLSP, LISA, and Drawl in
WSN. The paper additionally introduces qualities,
security prerequisites, assaults, encryption
calculations, and operation modes. This paper is
thought to be valuable for security planners in
WSNs.
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.
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.
Presented by Paul Wilson, Director General of APNIC and Chair of APrIGF Multistakeholder Steering Group at the Asia Pacific Internet Leadership Program as part of 2016 APrIGF Taipei
Yi-Lang Tsai - Cyber Security, Threat Hunting and Defence Challenge in Taiwan...REVULN
TWCSIRT is a full member of FIRST and mainly focuses on the protection of NARLabs, TANet and TWAREN. We are defense cyber-attack from internet and according to government policy to handling incident every day. I am a research fellow with National Center for High-performance Computing and lead cyber security team to operation security operation center to handling incident in Taiwan Academic Network.
In our research project from government, we are deployed the biggest honeynet in Taiwan and used over 6000 IP address to detection malicious network attack come from internet.
We have published our malware knowledge base to sharing malware samples and reports for many researchers, students, research center and sharing our data set for deep tracking about cyber security.
There are many new types of cyber-attack that’s is include ransomware, website mining, DDoS and hybrid malicious attack.
Main Points:
- What’s TWCSIRT Mission and Scope
- How to coordinate in National level with ISAC, CERT and SOC
- Cyber-attack and threat hunting in Taiwan Academic Network
- How to develop cyber security platform for incident handling
- How to do red team and blue team training by CDX
Network security using data mining conceptsJaideep Ghosh
Network Security is a major part of a network that needs to be maintained because information is being passed between computers etc. and is very vulnerable to attack.
Data Mining is the process of extraction of required/specific information from data in database.
Data mining is integrated with network security and can be used with various security tools as well as hacking tool.
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.
Wireless Sensor Network (WSN) is a promising field for research. As the use of this field increases, it is
required to give proper security to this field. So to ensure the security of communication of data or messages and to
control the use of data in WSN is of great importance. As sensor networks interact with responsive data and operate
in unfriendly unattended area, from the time of system design these security concerns should be addressed. The paper,
presents a modified Motesec security protocol which is a security mechanism for Wireless sensor network. In this
protocol a hash function based approach is used to detect replay attacks. For data access control key lock matching
method i.e. memory data access control policy is used to prevent unauthorized data access. Encoding and
reconstruction scheme is used to find out attacker. Flooding attack detection by comparing data rate. There is currently
massive research is present in the area of wireless sensor network security..Keywords: GPS,GCM,LBS Android.
Keywords: secure communication architecture, wireless Sensor network security.
A key management approach for wireless sensor networksZac Darcy
In this paper we presenta key management approach for wireless sensor networks. This approach
facilitating an efficient scalable post-distribution key establishment that provides different security services.
We have developed and tested this approach under TinyOs. Result shows that this approach provides
acceptable resistance against node capture attacks and replay attacks. The provision of security services is
completely transparent to the user of the WSNs. Furthermore, being highly scalable and lightweight, this
approach is appropriate to be used in a wireless sensor network of hundreds of nodes.
ENHANCED THREE TIER SECURITY ARCHITECTURE FOR WSN AGAINST MOBILE SINK REPLI...ijwmn
Recent developments on Wireless Sensor Networks have made their application in a wide range
such as military sensing and tracking, health monitoring, traffic monitoring, video surveillance and so on.
Wireless sensor nodes are restricted to computational resources, and are always deployed in a harsh,
unattended or unfriendly environment. Therefore, network security becomes a tough task and it involves
the authorization of admittance to data in a network. The problem of authentication and pair wise key
establishment in sensor networks with mobile sink is still not solved in the mobile sink replication attacks.
In q-composite key pre distribution scheme, a large number of keys are compromised by capturing a
small fraction of sensor nodes by the attacker. The attacker can easily take a control of the entire network
by deploying a replicated mobile sinks. Those mobile sinks which are preloaded with compromised keys
are used authenticate and initiate data communication with sensor node. To determine the above problem
the system adduces the three-tier security framework for authentication and pair wise key establishment
between mobile sinks and sensor nodes. The previous system used the polynomial key pre distribution
scheme for the sensor networks which handles sink mobility and continuous data delivery to the
neighbouring nodes and sinks, but this scheme makes high computational cost and reduces the life time of
sensors. In order to overcome this problem a random pair wise key pre distribution scheme is suggested
and further it helps to improve the network resilience. In addition to this an Identity Based Encryption is
used to encrypt the data and Mutual authentication scheme is proposed for the identification and
isolation of replicated mobile sink from the network.
A Key Management Approach For Wireless Sensor NetworksZac Darcy
In this paper we presenta key management approach for wireless sensor networks. This approach
facilitating an efficient scalable post-distribution key establishment that provides different security services.
We have developed and tested this approach under TinyOs. Result shows that this approach provides
acceptable resistance against node capture attacks and replay attacks. The provision of security services is
completely transparent to the user of the WSNs. Furthermore, being highly scalable and lightweight, this
approach is appropriate to be used in a wireless sensor network of hundreds of nodes.
A Key Management Approach For Wireless Sensor NetworksZac Darcy
In this paper we presenta key management approach for wireless sensor networks. This approach
facilitating an efficient scalable post-distribution key establishment that provides different security services.
We have developed and tested this approach under TinyOs. Result shows that this approach provides
acceptable resistance against node capture attacks and replay attacks. The provision of security services is
completely transparent to the user of the WSNs. Furthermore, being highly scalable and lightweight, this
approach is appropriate to be used in a wireless sensor network of hundreds of nodes.
Data Transfer Security solution for Wireless Sensor NetworkEditor IJCATR
WSN is a wide growth area for specific resource limited application. Factor associated with technology like, the encryption
security, operating speed and power consumption for network. Here, we introduce a mechanism for secure transferring of data is WSN
and various security related issues. This energy-efficient encryption is a secure communication framework in which an algorithm is
used to encode the sensed data using like, RC5, AES and CAST Algorithm. The proposed scheme is most suitable for wireless sensor
networks that incorporate data centric routing protocols. An algorithm in sensor network is help to designers predict security
performance under a set of constraints for WSNs. This symmetric key function is used to guarantee secure communications between
in-network nodes and reliable operation cost. RC5 is good on the code point of view, but the key schedule consumes more resource
time for efficient security aspects.
Protocols for Wireless Sensor Networks and Its SecurityIJERA Editor
This paper proposes a protocol for Wireless Sensor Networks and its security which are characterized by severely constrained computational and energy resources, and an ad hoc operational environment. The paper first introduces sensor networks, and discusses security issues and goals along with security problems, threats, and risks in sensor networks. It describes crippling attacks against all of them and suggests countermeasures and design considerations. It gives a brief introduction of proposed security protocol SPINS whose building blocks are SNEP and μTESLA which overcome all the important security threats and problems and achieves security goals like data confidentiality, freshness, authentication in order to provide a secure Wireless Sensor Network
Enhancing the Security in WSN using Three Tier Security ArchitectureAM Publications,India
Security is the main issue while setting up the WSN network for node communication. This report describes the efficient mechanism for achieving the security between node communications by creating three tier security architecture. This system implements three tier architecture with the use of two polynomial pools having sensor nodes, mobile sinks and some access points that are also sensor nodes, to get better security. Two pools are common mobile polynomial pool and common static polynomial pool. Mobile sinks and access point carries keys from common mobile polynomial pool were as, access points and sensor nodes carries keys from common static polynomial pool. Communication gets established from mobile sink to access point then from access point to sensor node that shows three tier architecture Authentication is the main aspect of the system, that is achieved by pairwise key predistribution methods and authentication of the nodes with the use of polynomial keys. Here, Mobile sink replication attack is implemented against the network. The malicious node, it is blocked. If it wants to communicate within the network then it needs to capture large no of keys from both the pools for authentication. But as the sufficient keys are not available with it, it cannot communicate with the other nodes in the network
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.
AN ANTI-CLONE ATTACK KEY MANAGEMENT SCHEME FOR WIRELESS SENSOR NETWORKScsandit
Wireless Sensor Networks (WSNs) are subject to various kinds of attacks such as replaying of
messages, battery exhausting, and nodes compromising. While most of these attacks can be
dealt with through cryptographic security protocols provided by key management schemes,
there are always a few that manage to really cause problems. One such attack that is most
common and significant in WSNs is cloning attack. In clone attack, the intruder tries to capture
and compromise some nodes and inject them into several locations throughout the network in
order to conduct other types of attacks. Moreover, if this attack is not detected early, then these
replicated injected nodes will consume a large amount of the network resources. In this paper,
we analyze several key management schemes that can be used for checking integrity and
preventing cloning attacks. After analyzing the problems associated with these schemes, we
propose a model that allows us to distinguish between legitimate nodes and cloned nodes in
such sensor networks.
Next Generation Network: Security and Architectureijsrd.com
Wireless sensor networks will be widely deployed in the near future. While much research has focused on making these networks feasible and useful, security has received little attention. Wireless Sensor Networks (WSN) are a most challenging and emerging technology for the Research due to their vital scope in the field coupled with their low processing power and associated low energy. As wireless sensor networks continue to grow, so does the need for effective security mechanisms. Because sensor networks may interact with sensitive data and/or operate in hostile unattended environments, it is imperative that these security concerns be addressed from the beginning of the system design staring with a brief overview of the sensor networks security, a review is made of and how to provide the security in the wireless sensor networks. This paper studies the security problems, Requirement, Architecture of WSN and different platform, characterized by severely constrained computational and energy resources, and an ad hoc operational environment.
A Survey on Security Issues to Detect Wormhole Attack in Wireless Sensor Networkpijans
Sensor nodes, when deployed to form Wireless sensor network operating under control of central authority
i.e. Base station are capable of exhibiting interesting applications due to their ability to be deployed
ubiquitously in hostile & pervasive environments. But due to same reason security is becoming a major
concern for these networks. Wireless sensor networks are vulnerable against various types of external and
internal attacks being limited by computation resources, smaller memory capacity, limited battery life,
processing power & lack of tamper resistant packaging. This survey paper is an attempt to analyze threats
to Wireless sensor networks and to report various research efforts in studying variety of routing attacks
which target the network layer. Particularly devastating attack is Wormhole attack- a Denial of Service
attack, where attackers create a low-latency link between two points in the network. With focus on survey of
existing methods of detecting Wormhole attacks, researchers are in process to identify and demarcate the
key research challenges for detection of Wormhole attacks in network layer.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
2. Introduction (Wireless sensor Networks)
Current applications include ocean and
wildlife monitoring, manufacturing machinery
performance monitoring, building safety and
earthquake monitoring, military applications
etc.
Future applications might involve highway
traffic, building security, water quality and
people’s heart rates.
3. Challenges posed by WSN
To make the sensor networks economically
viable they have limited energy consumption
and communication capabilities.
Often deployed in accessible areas; implies
added risk to physical attacks.
Interaction with their physical environments
and people result in new security problems.
4. A Secure System
Usually a standalone component of the
system where a separate module provides
security.
This is a flawed approach.
Ideally, security should be a part of every
component. (the components designed
without security can become a point of
attack)
5. Key Establishment and Trust Setup
Cryptographic keys need to be established during
the setting up of a sensor network for later use.
Various traditional protocols cannot be used in case
of sensor devices due to limited computational
capabilities.
The key establishment techniques need to scale to
networks with hundreds and thousands of nodes.
Sensor nodes differ in communication patterns with
the traditional networks; sensor nodes may need to
set up keys with their neighbors and with data
aggregation nodes.
6. Simplest solution for key establishment
Network-wide shared key.
Disadvantage: Compromise of any single node result
in decryption of complete network traffic.
Variant to the above approach use a single shared
key to establish a set of link keys, one per pair of
communicating nodes, then erase the network-wide
key after setting up the session keys.
Disadvantage: This process does not allow addition
of new nodes after initial deployment.
7. Public Key Cryptography
(Diffie-Hellman key Establishment)
D-H Key Establishment: Allows two parties
that have no prior knowledge of each other to
jointly establish a shared secret key over an
insecure communications channel.
Advantage: A node can set up a secure key
with any other node in the network.
But is beyond the scope of the capabilities of
the sensor networks.
8. Bootstrapping
Bootstrapping keys with a trusted base
station is an option.
Each node shares a single key with the base
station and set up keys with the other nodes
through the base stations.
Disadvantage: Single point of failure.
Advantage: If the network incorporates
tamper-resistant packaging for the base
station, it would help in the mitigation of
threats of physical attacks.
9. Random Key Distribution Protocols
Large pool of symmetric key is chosen and a random
subset of pool is distributed to each sensor node.
Two nodes that want to communicate search their pools
to determine whether they share a common key.
Not every pair of nodes share a common key.
A fully connected network can be established if the key
establishment probability is sufficiently great.
Advantage: Avoids having to include a central base
station.
Disadvantage: Attackers who are able to compromise
sufficiently large number of nodes could reconstruct the
complete key pool and break the entire scheme.
10. Security and Authentication
Need for protection against eavesdropping, injection
and modification of packets.
Cryptography is the standard defense mechanism
but has its own tradeoffs.
It entails performance cost for extra computation
that increases packet size.
Hardware support of it increases efficiency but also
increase financial cost of implementing a network.
Software-only cryptography is practical with today’s
sensor technology. Hardware support is not needed.
11. Privacy Concerns
Secret surveillance:
- Employers can spy on their employees
- Shop owners on customers
- Neighbors on each other
- Law enforcement agencies on public places
Surveillance technology has become cheaper
and more effective and hence affordable.
Devices have become smaller hence easy to
conceal.
12. Threats
New type of threats introduced by the sensor
networks.
Enables routine tracking of people and vehicles over
long period of time.
In order to be able to solve the problems related to
privacy; not only the technology but a mix of societal
norms, new laws and technological responses are
necessary.
The existence of sensor technology and surveillance
should be made known to people for a better
acceptance of the technology.
13. Robustness to communication
denial of service
Denial of services attacks are one of the greatest
concerns.
An adversary can severely disrupt the network’s
operation by broadcasting a high energy signal,
entire system could be jammed.
Solution: When jamming effects only the portion of
the network, a jamming-resistant network could
defeat the attack by detection of the jammed area
and mapping the affected region and the routing
around the jammed area.
14. Secure Routing
Routing and data forwarding is an essential service
for enabling communication in sensor networks.
Simplest attack: Injection of malicious routing
information into the network can result in routing
inconsistencies.
Solution: Simple authentication might guard against
these attacks; still susceptible to replay attacks by
attackers with legitimate routing messages.
Node-capture attacks: In almost all the routing
protocols, compromise of single nodes suffices to
take over the entire network or prevent
communication within it.
15. Resilience to node capture
Generally, sensor nodes are present in locations that are readily
accessible to attackers.
It becomes easy for an attacker to capture these nodes, extract
cryptographic secrets, modify their programming or replace them
with malicious nodes.
Defense: Tamper-resistant packaging but is expensive hence not
preferable instead algorithmic solutions are preferred over it.
Challenge is to build a network that would operate correctly even
if several nodes are compromised without our knowledge.
Sending every packet across multiple, independent paths and
checking at the destination for consistency among the packets
that are received, resilience against node-capture can be
achieved.
16. Network Security Services:
Secure Group Management
High level security mechanisms.
Each node in the sensor network is limited in computing and
communication capabilities.
However, data aggregation and analysis can be performed by
group of nodes.
Example: A group of nodes might be responsible for tracking the
vehicle through the network.
Secure protocols are required for group management that would
ensure secure admission of new group members and secure
communication among that group.
The outcome of the group’s computation is normally transmitted
to the base station which should be authenticated to ensure that
it comes from a valid group.
Any solution must be efficient in time and energy.
17. Network Security Services:
Intrusion Detection
Wireless sensor networks are susceptible to many
forms of intrusion.
In wired networks, traffic and computation are
typically monitored and analyzed for anomalies at
various concentration points, which is often
expensive.
For a lesser expensive solution, applications and
typical threat models must be understood,
particularly how cooperating adversaries might
attack the system.
Use of secure groups may be a promising approach
for decentralized intrusion detection.
18. Network Security Services:
Secure data aggregation
One benefit of wireless sensor networks is
the fine-grain sensing that large and dense
set of nodes can provide.
To avoid overwhelming traffic back to the
base station; data should be aggregated.
Aggregation may take place at many places
in the network, depending upon the
architecture of the wireless sensor networks.
All such locations should be secured.
19. Research Challenges
Severe constraints and demanding
deployment environments of wireless sensor
networks make computer security for these
systems challenging.
How to secure wireless communication links?
Understanding the environment-related
constraints.