Soft Computing and Artificial Intelligence Techniques for Intrusion Detection System

The rapid development of computer networks and mostly of the Internet has created many stability and security problems such as intrusions on computer and network systems. Further the dependency of companies and government agencies is increasing on their computer networks and the significance of protecting these systems from attacks is serious because a single intrusion can cause a heavy loss or the consistency of network becomes insecure. During recent years number of intrusions has dramatically increased. Therefore it is very important to prevent such intrusions. The hindrance of such intrusions is entirely dependent on their detection that is a key part of any security tool such as Intrusion Detection System (IDS), Intrusion Prevention System (IPS), Adaptive Security Alliance (ASA), checkpoints and firewalls. Hence accurate detection of network attack is imperative. A variety of intrusion detection approaches are available but the main problem is their performance, which can be enhanced by increasing the detection rates and reducing false positives. Keywords: IDS, Soft Computing, ANN, Genetic Algorith

Prediction of Stock Market Index Using Genetic Algorithm

The generation of profitable trading rules for stock market investments is a difficult task but admired problem. First stage is classifying the prone direction of the price for BSE index (India cements stock price index (ICSPI)) futures with several technical indicators using artificial intelligence techniques. And second stage is mining the trading rules to determined conflict among the outputs of the first stage using the evolve learning. We have found trading rule which would have yield the highest return over a certain time period using historical data. These groundwork results suggest that genetic algorithms are promising model yields highest profit than other comparable models and buy-and-sell strategy. Experimental results of buying and selling of trading rules were outstanding. Key words: Data mining, Trading rule, Genetic algorithm, ANN, ICSPI predictio

An Improvement to Trust Based Cross-Layer Security Protocol against Sybil Attacks (DAS)

The performance of distributed networks depends on collaboration among distributed entities. To enhance security in distributed networks, such as ad hoc networks, it is important to evaluate the trustworthiness of participating entities since trust is the major driving force for collaboration. The trust based security protocol based on a cross-layer approach attains confidentiality and authentication of packets in both routing and link layers of MANETs but it doesn’t address few attacks like Bad Mouthing Attack, On-off Attack, and Conflicting Behavior Attack, Sybil Attack and Newcomer Attack. In this paper we present DAS, a protocol for reducing of the corruptive/malicious influences of Sybil attacks. Malicious users in general may create multiple identities with few trust relationships. Hence there is a disproportionately small gap in the graph between the Sybil nodes and the honest nodes. DAS exploits this property so as to bind the number of identities a malicious user can create. We simulate the effectiveness of DAS both analytically and experimentally. Keywords: MANETs, Security Protocol, DAS, Malicious nodes, Cross Layer, Authenticatio

Extraction and Evaluation of Tamarind Kernel Mucilage powder for Hydrocolloidal Properties

Hydrocolloids are commonly used as dietary fibers, thickeners, gelling agents, emulsifiers, stabilizer, fat replacers, clarifying agents, flocculating agents, clouding agents and whipping agents. The development of applicable hydrocolloids from crops and food disposals allow the recovery, recycling and sustainability of high value-added ingredients in the food chain. Tamarind seeds are subjected to various methods (soaking, drying, parching) for removal of seed coat. Finally parching at 80c for 20min resulted in 72% seed coat removal. The kernels were then milled through 355µm mesh using hammer mill. TKM is isolated from powder by hydrating TKP and dried with spray dryer which yielded 40% of TKMP. Physical and bio chemical parameters are studied for the kernel powder and mucilage powder. Functional properties such as solubility, water holding capacity, oil holding capacity, swelling index, emulsifying ability and foaming capacity were analyzed. Solubility, WHC, OHC increased with increase in temperature, foaming and emulsifying capacity increased with increased weight to volume ratio of mucilage powder. The efficiency of using TKMP as coating agent was studied by dipping potato wedges in different aqueous 0.5% solutions of CMC, xanthan gum and TKMP. The percent coat pick up of TKMP was recorded as 6% which is higher than CMC. The percent frying yield of potato wedges dipped in TKMP solutions recorded 68.4% which is higher than the potato wedge dipped in CMC solution (60.97%). These results show that TKMP can be effectively used as coating material for increasing frying yield of the samples

Evaluating The Suitability of Cirrhinus Mrigala in a Sintex Tank Culture System: A Promising Experimental Study

This pioneering study conducted by the Department of Aquaculture aimed to assess the suitability of Cirrhinus Mrigala, a freshwater species, for cultivation in a Sintex tank. The objective was to determine the growth potential and productivity of Cirrhinus Mrigala in this specific tank culture system. Over a period of 60 days, the final weights of the fish specimens were recorded as follows: 2.0g, 4.30g, 6.96g, 9.98g, 11.21g, and 14.17g, respectively. The total fish yield achieved during this period was 437.58 grams, utilizing a natural feeding regime. This study provides valuable insights as the first investigation in this domain, revealing promising indications for the implementation of Sintex tank culture for Cirrhinus Mrigala cultivation

Process for the preparation of (R)-3-(4-(7H-pyrrolo[2,3-d]pyrimidin-4-yl)-1H-pyrazol-1-yl)-3-cyclopentylpropanenitrile fumarate

Abstract: Process for the preparation of crystal modification 1 of (R)-3-(4-(7Hpyrrolo[2,3-d] pyrimidin-4-yl)-1H-pyrazol-1-yl)-3-cyclopentylpropanenitrile fumarate of formula-1a, which is represented by the following structural formula: Formula-1

AN EFFICIENT METHOD-LEVEL CODE CLONE DETECTION SCHEME THROUGH TEXTUAL ANALYSIS USING METRICS

ABSTRACT Code cloning or the act of copying code fragments and making minor, non-functional alterations, is a well known problem for evolving software systems which leads to duplicated code fragments known as code clones. A Clone Detection approach is to find out the reused fragment of code in any application to maintain different types of clones that are being identified by the clone detection techniques. Ever since clone detection evolved, it has been providing better results by reducing the complexity. A different clone detection tool makes the detection process easier and produces efficient results. In many existing systems, main focus is on line by line detection or token based detection to find out the clones in the system. So, it makes the system to take long time to process the entire source code. If the fragment of code is not an exact copy but the functionalities make it similar to each other, then existing system doesn't figure out that type of clones in it. This paper proposes combination of textual and metric analysis of a source code for the detection of all types of clones in a given set of fragment of java source code. Various semantics have been formulated and their values are used during the detection process. This metrics with textual analysis provides less complexity in finding the clones and giving accurate results

An Insilco Approach to Restrain HIV Replication Through Clustering and Virtual Screening

Abstract Human Immunodeficiency Virus (HIV) type-1 non-nucleoside and nucleoside reverse transcriptase inhibitors (NNRTIs) are key drugs to inhibit replication of virus, we have used virtual screening and docking resulted in inhibit replication effectively at active binding site, 884 ligands were extracted and docking analysis resulted in 59 best molecules further by clustering analysis have paved the way for innovative drug design which is better than existing nevirapine ,top three molecules (ZINC04923148, ZINC05442451 and ZINC04923002) were reported as possible novel HIV-RT inhibitors

Role of water in Protein Aggregation and Amyloid Polymorphism

A variety of neurodegenerative diseases are associated with the formation of amyloid plaques. Our incomplete understanding of this process underscores the need to decipher the principles governing protein aggregation. Most experimental and simulation studies have been interpreted largely from the perspective of proteins: the role of solvent has been relatively overlooked. In this Account, we provide a perspective on how interactions with water affect folding landscapes of A$\beta$ monomers, A$\beta_{16-22}$ oligomer formation, and protofilament formation in a Sup35 peptide. Simulations show that the formation of aggregation-prone structures (N$^*$) similar to the structure in the fibril requires overcoming high desolvation barrier. The mechanism of protofilament formation in a polar Sup35 peptide fragment illustrates that water dramatically slows down self-assembly. Release of water trapped in the pores as water wires creates protofilament with a dry interface. Similarly, one of the main driving force for addition of a solvated monomer to a preformed fibril is the entropy gain of released water. We conclude by postulating that two-step model for protein crystallization must also hold for higher order amyloid structure formation starting from N$^*$. Multiple N$^*$ structures with varying water content results in a number of distinct water-laden polymorphic structures. In predominantly hydrophobic sequences, water accelerates fibril formation. In contrast, water-stabilized metastable intermediates dramatically slow down fibril growth rates in hydrophilic sequences.Comment: 27 pages, 4 figures; Accounts of Chemical Research, 201