Computer Science And Technology - Research Publications
Permanent URI for this collectionhttps://kr.cup.edu.in/handle/32116/82
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Item Performance evaluation of various symmetric encryption algorithms(Institute of Electrical and Electronics Engineers Inc., 2015) Kansal, S.; Mittal, M.With rise in the use of internet in various fields like banking, military and government sector, the security and privacy of the data has been the main concern. Today, most of the data handling and electronic transactions are done on the internet. When the information is transferred from the sender to the receiver over the internet, it may be eavesdropped by an intruder and thus is a continuous threat to the secrecy or confidentiality of the data. The popular technique that protects the confidentiality of the data is cryptography which converts the plain text into unreadable form and then receiver applies reverse mechanism to decrypt the unreadable form of data to readable form. This mechanism is called as encryption-decryption process. Thus to secure the data over the internet, it is important to find out which algorithm performs better than the other algorithms. In this paper, the different symmetric encryption algorithms like DES, 3DES, AES have been analyzed with respect to different parameters and data types (like text files, image) on i7 processor. ? 2014 IEEE.Item Influence of link sensing mechanism of IMEP on the performance of TORA under different mobility models(Institute of Electrical and Electronics Engineers Inc., 2015) Kaur, Amandeep; Mittal, MeenakshiThe performance evaluation of Mobile Ad Hoc Network (MANET) routing protocols is an important as well as open area of research worldwide. Temporally Ordered Routing Algorithm (TORA) is an adaptable and distributed MANET routing protocol which is dependent on the services of Internet MANET Encapsulation Protocol (IMEP) for its various necessary functions like link status detection. The incorrect link failure detection by IMEP leads to creation of congested network and initiation of avoidable route maintenance in TORA. Thus changes need to be introduced in the link sensing mechanism provided by IMEP to improve the detection of links in TORA. According to previously available research, if the maximum number of OBM retransmissions is increased, significant improvement in the performance of TORA is noticed. This modification has been implemented in this paper and performance of Enhanced TORA is evaluated under Random-Waypoint model, Manhattan-Grid mobility model and Random-Direction model using FTP traffic with 10 connections. The results are then compared with those of original TORA using various performance metrics like Packet Delivery Ratio, Average End to End Delay and Routing Overhead. ? 2014 IEEE.Item Combinational feature selection approach for network intrusion detection system(Institute of Electrical and Electronics Engineers Inc., 2015) Garg, T.; Kumar, Y.In the era of digital world, the computer networks are receiving multidimensional advancements. Due to these advancements more and more services are available for malicious exploitation. New vulnerabilities are found from common programs and even on vulnerability in a single computer might compromise the network of an entire company. There are two parallel ways to address this threat. The first way is to ensure that a computer doesn't have any known security vulnerabilities, before allowing it to the network it has access rights. The other way, is to use an Intrusion Detection System. IDSs concentrate on detecting malicious network traffic, such as packets that would exploit known security vulnerability. Generally the intrusions are detected by analyzing 41 attributes from the intrusion detection dataset. In this work we tried to reduce the number of attributes by using various ranking based feature selection techniques and evaluation has been done using ten classification algorithms that I have evaluated most important. So that the intrusions can be detected accurately in short period of time. Then the combinations of the six reduced feature sets have been made using Boolean AND operator. Then their performance has been analyzed using 10 classification algorithms. Finally the top ten combinations of feature selection have been evaluated among 1585 unique combinations. Combination of Symmetric and Gain Ratio while considering top 15 attributes has highest performance. ? 2014 IEEE.