Aniket Pandey aniketp

Report 3: Kyua test program for mkdir(2)

Explicit System Call Testing

The test application would trigger all Syscalls one by one, evaluating that the audit record contains all the expected parameters, e.g the arguments, valid argument types, return values etc. The testing will be done for various success and failure modes, with cross checking for appropriate error codes in case of failure mode.

Repository

AuditTestSuite

The Problem

Report 2: File-read System Call testing

Explicit System Call Testing

The test application would trigger all Syscalls one by one, evaluating that the audit record contains all the expected parameters, e.g the arguments, valid argument types, return values etc. The testing will be done for various success and failure modes, with cross checking for appropriate error codes in case of failure mode.

Repository

AuditTestSuite

Directory Structure

Report 1: Network System Call testing

Explicit System Call Testing

The test application would trigger all Syscalls one by one, evaluating that the audit record contains all the expected parameters, e.g the arguments, valid argument types, return values etc. The testing will be done for various success and failure modes, with cross checking for appropriate error codes in case of failure mode.

Repository

AuditTestSuite

	type PrivateKey = userlib.PrivateKey

	type User_r struct {
	User struct {
	Username string
	Password string
	Privkey PrivateKey
	A2ksalt string // To be used as a salt for Argon KDF
	}
	Signature []byte

	import sys, csv, json, time, requests
	from urllib.parse import urlencode, quote_plus

	url = 'http://[SECRET]:8080/'
	cliff_version = 'CLIFF-2.3.0'

	malformed = 0
	with open("data1.txt", "r") as file, open("hackcave2.csv", "w+") as csvf:
	csvfile = csv.writer(csvf)
	csvfile.writerow(['Index', 'Response time', 'Computation Time', 'Malformed'])

	from multiprocessing import Process, Manager
	from fasttext import FastVector

	# Returns a sample fastVector object
	def createFastVector():
	# Create for English vector-wiki
	en_dict = FastVector(vector_file='wiki.en.vec')
	return en_dict

	def serverFunc(vector):

	import json
	import time
	import requests
	from urllib.parse import urlencode, quote_plus

	url = 'http://[SECRET]:8080/'
	cliff_version = 'CLIFF-2.3.0'
	text = 'There is an ongoing match at the Wembley Stadium in Britain for USA'

	payload = {'q': text}

	BasedOnStyle: LLVM
	IndentWidth: 8
	UseTab: Always
	BreakBeforeBraces: Linux
	AllowShortIfStatementsOnASingleLine: false
	IndentCaseLabels: false
	ColumnLimit: 0
	AlignTrailingComments: true
	SpacesBeforeTrailingComments: 2